CN111369050B - Method and system for selecting site of water airport - Google Patents

Method and system for selecting site of water airport Download PDF

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CN111369050B
CN111369050B CN202010139060.7A CN202010139060A CN111369050B CN 111369050 B CN111369050 B CN 111369050B CN 202010139060 A CN202010139060 A CN 202010139060A CN 111369050 B CN111369050 B CN 111369050B
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毕晟
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China Civil Aviation Engineering Consulting Co ltd
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Abstract

The invention discloses a method and a system for selecting a water airport address, which are used for predicting water airport traffic based on determined water airport traffic, predicting water airport construction scale based on water airport traffic, determining a suitable area of a water airport based on water airport construction scale, primarily screening the suitable area according to preset water airport address selecting conditions to obtain water airport alternative addresses, scoring each water airport alternative address from preset multiple dimensions to obtain a comprehensive score of each water airport alternative address, and determining the water airport alternative address with the highest comprehensive score as a water airport recommended address. The invention integrates the travel traffic volume demand, the air browsing traffic volume demand, the private flight traffic volume demand and the demand of more convenient emergency rescue traffic volume demand of the water airport, thereby ensuring the rigor and the prospective of the finally selected water airport site.

Description

Method and system for selecting site of water airport
Technical Field
The invention relates to the technical field of planning and site selection, in particular to a method and a system for site selection of a water airport.
Background
A water airport refers to a security service area where a body portion is located on water, all or part of which is used for aircraft takeoff, landing, taxiing and berthing, including water-based operating areas or land-based related buildings and facilities. The water airport is usually arranged in a central urban area along the coast, the lake or the river, or near a tourist attraction, is an important traffic node of a city or a attraction, and can combine the urban function to create a special water airport matched state.
Compared with land airport construction, the method has the advantages of less investment, short construction period, less environmental damage, less noise influence, resource sharing, safe operation and the like, and particularly under the condition that the land airport is not constructed in time, the method can take off and land on the natural water surface such as rivers, lakes and seas by utilizing the water airport in advance, so that the special study of the planning construction of the water airport is developed in a plurality of provinces and cities in China at present.
At present, the site selection of the water airport is generally concentrated on the layout of the water airport, and the research on the aspects of traffic volume, construction scale and the like of the water airport is less, so that the depth of the research on the site selection of the water airport is insufficient, and the site selection result of the water airport is lack of rigor and prospective.
Disclosure of Invention
In view of the above, the invention discloses a method and a system for selecting the site of the water airport, which are used for realizing the multi-aspect deep research on the water airport and ensuring the rigor and the foresight of the finally selected water airport site.
A method of water airport site selection comprising:
determining the business requirement of the water airport, and predicting the business quantity of the water airport based on the business requirement;
predicting a water airport construction scale based on the water airport traffic;
based on the construction scale and the traffic volume of the water airport, N suitable construction areas of the water airport are determined by combining local water area resources, wherein N is a positive integer;
preliminary screening is carried out on the N suitable building areas according to preset water airport site selection conditions to obtain M water airport alternative sites, wherein M is a positive integer;
scoring each water airport candidate site from preset multiple dimensions to obtain a comprehensive score of each water airport candidate site;
and determining the alternative site of the water airport with the highest comprehensive score as the recommended site of the water airport.
Optionally, the determining the service requirement of the water airport and predicting the water airport service volume based on the service requirement specifically includes:
Determining a business requirement for a water airport, the business requirement comprising: travel traffic demand, air browsing traffic demand, private flight traffic demand and emergency rescue traffic demand;
respectively predicting the travel traffic demand, the air browsing traffic demand, the private flight traffic demand and the emergency rescue traffic demand to obtain a travel traffic demand prediction result, an air browsing traffic demand prediction result, a private flight traffic demand prediction result and an emergency rescue traffic demand prediction result;
and summarizing the travel traffic volume demand prediction result, the air browsing traffic volume demand prediction result, the private flight traffic volume demand prediction result and the emergency rescue traffic volume demand prediction result to obtain the airport traffic volume.
Optionally, the process of predicting the travel traffic demand includes:
obtaining the water plane travel traffic demand based on the predicted tourist scale of the city where the water airport is located and the proportion of the travel traffic passenger flow to the number of tourists in the city;
based on the water plane travel traffic demand and the number of passengers carried by the main stream model single time of the water plane travel traffic, the number of times of taking off and landing frames in the year of the travel traffic is predicted;
Obtaining the number of estimated annual flight hours of the tourist traffic based on the estimated annual departure/landing times of the tourist traffic and the average flight time of each tourist traffic;
and obtaining the predicted fleet size as the prediction result of the travel traffic demand based on the predicted number of annual flight hours of the travel traffic and the number of annual average flight hours of the aircraft.
Optionally, the process of predicting the air browsing traffic demand includes:
based on the predicted tourist scale of the city where the seaplane is located and the proportion of the tourist flow in the air to the tourist number of the city, obtaining the air browsing demand of the seaplane;
based on the air browsing demand of the water plane and the number of passengers carried by the main stream model of the air browsing of the water plane for a single time, the number of times of taking off and landing frames in the air browsing year is predicted;
calculating to obtain the number of the predicted air-tour year flight hours based on the number of the predicted air-tour year take-off and landing frames and the average flight time of each air-tour;
and calculating to obtain the predicted fleet size serving as the predicted result of the air browsing traffic demand based on the predicted number of air browsing years and the number of air browsing years of a single aircraft.
Optionally, the process of predicting the private flight traffic demand includes:
Predicting a high net household scale of more than ten million yuan for the asset and a high net household scale of more than hundred million for the asset within a future preset time period;
predicting a potential demand installment for a seaplane based on the high equity home scale for the asset exceeding ten millions of dollars and the high equity home scale for the asset exceeding hundred million;
calculating to obtain predicted flight hours of the private flight years of the water plane based on the potential demand frame times of the water plane and the single average time of the private flight of the water plane;
and calculating to obtain the predicted private airplane fleet size serving as the predicted private flight traffic demand result based on the predicted private annual flight hours of the water plane and the number of the individual annual average flight hours of the water plane.
Optionally, the process of predicting the emergency rescue traffic demand includes:
calculating the number of times of the emergency rescue of the seaplane based on the predicted total emergency rescue requirement and the predicted emergency rescue proportion of the seaplane;
calculating the total time of the emergency rescue of the seaplane based on the times of the emergency rescue of the seaplane and the average time of the single emergency rescue of the city where the seaplane is located;
and calculating the emergency rescue fleet scale serving as the emergency rescue business volume demand prediction result based on the total emergency rescue time of the seaplane and the annual average flight hours of the emergency rescue of the single airplane.
Optionally, the predicting the construction scale of the water airport based on the water airport traffic specifically includes:
according to the running condition of the domestic and foreign water airports, determining the concentration rate n of the peak day Day of the day And peak time concentration n Hours of ；
According to the annual take-off and landing times c of the airport Total (S) Calculating the average lifting and lowering times;
at the saidOn the basis of the daily lifting and descending frame times, the lifting and descending frame times c of the peak hour are calculated according to the following formula Peak ：
c Peak ＝c Total (S) /365×n Day of the day ×n Hours of ；
Taking off and landing times c based on the peak hours Peak Average passenger number x of seaplane Are all The peak hour passenger quantity a is calculated according to the following formula Peak ：
a Peak ＝c Peak ×x Are all ；
Based on the peak hour passenger quantity a Peak And the average area y of water airport Are all The total area S of the passenger waiting area is calculated according to the following formula Total (S) ：
S Total (S) ＝a Peak ×y Are all 。
Optionally, the preset multi-dimension includes: site planning adaptability, site construction feasibility, site social acceptance, site airspace feasibility and site traffic accessibility.
A water airport site selection system comprising:
the first prediction unit is used for determining the business requirement of the water airport and predicting the business volume of the water airport based on the business requirement;
a second prediction unit for predicting a construction scale of the airport based on the airport traffic;
The first determining unit is used for determining N adaptive areas of the water airport based on the construction scale and the traffic volume of the water airport and combining local water area resources, wherein N is a positive integer;
the screening unit is used for primarily screening the N suitable building areas according to preset water airport site selection conditions to obtain M water airport alternative sites, wherein M is a positive integer;
the scoring unit is used for scoring each water airport alternative site from preset multi-dimensions to obtain a comprehensive score of each water airport alternative site;
and the second determining unit is used for determining the water airport candidate site with the highest comprehensive score as the water airport recommended site.
Optionally, the first prediction unit is specifically configured to:
determining a business requirement for a water airport, the business requirement comprising: travel traffic demand, air browsing traffic demand, private flight traffic demand and emergency rescue traffic demand;
respectively predicting the travel traffic demand, the air browsing traffic demand, the private flight traffic demand and the emergency rescue traffic demand to obtain a travel traffic demand prediction result, an air browsing traffic demand prediction result, a private flight traffic demand prediction result and an emergency rescue traffic demand prediction result;
And summarizing the travel traffic volume demand prediction result, the air browsing traffic volume demand prediction result, the private flight traffic volume demand prediction result and the emergency rescue traffic volume demand prediction result to obtain the airport traffic volume.
Optionally, the second prediction unit is specifically configured to:
according to the running condition of the domestic and foreign water airports, determining the concentration rate n of the peak day Day of the day And peak time concentration n Hours of ；
According to the annual take-off and landing times c of the airport Total (S) Calculating the average lifting and lowering times;
on the basis of the daily lifting and descending frame times, the lifting and descending frame times c with peak hours are calculated according to the following formula Peak ：
c Peak ＝c Total (S) /365×n Day of the day ×n Hours of ；
Taking off and landing times c based on the peak hours Peak Average passenger number x of seaplane Are all The peak hour passenger quantity a is calculated according to the following formula Peak ：
a Peak ＝c Peak ×x Are all ；
Based on the peak hour passenger quantity a Peak And the average area y of water airport Are all The total area S of the passenger waiting area is calculated according to the following formula Total (S) ：
S Total (S) ＝a Peak ×y Are all 。
As can be seen from the above technical solution, the present invention discloses a method and a system for selecting a water airport, which predicts the traffic volume of the water airport based on the determined traffic demand of the water airport, wherein the traffic demand of the water airport comprises: travel traffic demand, air browsing traffic demand, private flight traffic demand and emergency rescue traffic demand, predicting the construction scale of the water airport based on the water airport traffic, determining the suitable construction area of the water airport based on the water airport construction scale, primarily screening the suitable construction area according to preset water airport site selection conditions to obtain water airport alternative sites, scoring each water airport alternative site from preset multiple dimensions to obtain the comprehensive score of each water airport alternative site, and determining the water airport alternative site with the highest comprehensive score as the water airport recommended site. Compared with the traditional water airport site selection mainly based on the water airport layout, the method comprehensively analyzes the travel traffic volume demand, the air browsing traffic volume demand, the private flight traffic volume demand and the emergency rescue traffic volume demand of the water airport, determines the construction scale of the water airport based on the demands, determines the proper construction area of the water airport, and obtains the recommended site of the water airport by primarily screening and multi-dimensional scoring of each proper construction area.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, and it is obvious that the drawings in the following description are only embodiments of the present invention, and that other drawings can be obtained according to the disclosed drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for selecting a site on a water airport according to an embodiment of the invention;
fig. 2 is a schematic structural diagram of a water airport site selection system according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The embodiment of the invention discloses a method and a system for selecting a water airport address, which predict the water airport traffic based on the determined service demand of the water airport, wherein the service demand of the water airport comprises the following steps: travel traffic demand, air browsing traffic demand, private flight traffic demand and emergency rescue traffic demand, predicting the construction scale of the water airport based on the water airport traffic, determining the suitable construction area of the water airport based on the water airport construction scale, primarily screening the suitable construction area according to preset water airport site selection conditions to obtain water airport alternative sites, scoring each water airport alternative site from preset multiple dimensions to obtain the comprehensive score of each water airport alternative site, and determining the water airport alternative site with the highest comprehensive score as the water airport recommended site. Compared with the traditional water airport site selection mainly based on the water airport layout, the method comprehensively analyzes the travel traffic volume demand, the air browsing traffic volume demand, the private flight traffic volume demand and the emergency rescue traffic volume demand of the water airport, determines the construction scale of the water airport based on the demands, determines the proper construction area of the water airport, and obtains the recommended site of the water airport by primarily screening and multi-dimensional scoring of each proper construction area.
Referring to fig. 1, a flow chart of a method for selecting a site on a water airport according to an embodiment of the present invention includes the steps of:
step S101, determining the business requirement of the water airport, and predicting the business quantity of the water airport based on the business requirement;
the business requirements of the water airport may include: travel traffic demand, air browsing traffic demand, private flight traffic demand, and emergency rescue traffic demand.
Thus, step S101 may specifically include:
1) Determining a business requirement for a water airport, the business requirement comprising: travel traffic demand, air browsing traffic demand, private flight traffic demand and emergency rescue traffic demand;
2) Respectively predicting the travel traffic demand, the air browsing traffic demand, the private flight traffic demand and the emergency rescue traffic demand to obtain a travel traffic demand prediction result, an air browsing traffic demand prediction result, a private flight traffic demand prediction result and an emergency rescue traffic demand prediction result;
wherein the predicting the travel traffic demand comprises:
A. Obtaining the water plane travel traffic demand based on the predicted tourist scale of the city where the water airport is located and the proportion of the travel traffic passenger flow to the number of tourists in the city;
at present, the water airports at home and abroad are mainly served by the tourism industry, so tourists in the city of the water airport are used as influence groups for forecasting the tourism traffic demand.
Specifically, according to the urban area of the water airport in a preset time period, such as the passenger volume and the increasing trend of the tourist in the last 5 years, the estimated tourist scale a of the urban area of the future water airport is estimated by referring to the general development rule of the tourist industry Traffic system The method comprises the steps of carrying out a first treatment on the surface of the According to the general aviation travel traffic case in China, determining the proportion u of the travel traffic passenger flow to the urban travel number Traffic system Calculating according to a formula (1) to obtain the water plane travel traffic demand b Traffic system Equation (1) is as follows:
b traffic system ＝a Traffic system ×u Traffic system (1)；
B. Based on the water plane travel traffic demand and the number of passengers carried by the main stream model single time of the water plane travel traffic, the number of times of taking off and landing frames in the year of the travel traffic is predicted;
in particular, based on the water plane travel traffic demand b Traffic system According to the main stream model single passenger carrying number x of the water plane travel traffic in China Traffic system Calculating according to the formula (2) to obtain the number c of the estimated annual take-off and landing frames of the tourism traffic Traffic system Equation (2) is as follows:
c traffic system ＝b Traffic system ×x Traffic system (2)；
C. Obtaining the number of estimated annual flight hours of the tourist traffic based on the estimated annual departure/landing times of the tourist traffic and the average flight time of each tourist traffic;
specifically, based on the number of times of predicting annual departure and landing of travel traffic, c Traffic system According to the average flight time t of each travel traffic Traffic system Calculating according to a formula (3) to obtain the estimated annual flying hour number d of the tourism traffic Traffic system Equation (3) is as follows:
d traffic system ＝c Traffic system ÷t Traffic system (3)；
D. And obtaining the predicted fleet size based on the predicted annual flight hours for travel traffic and the annual average flight hours for the aircraft.
And predicting the fleet size, namely the travel traffic demand prediction result.
Specifically, based on the number d of flying hours of the estimated travel traffic year Traffic system General aircraft annual average flying hour number T in China Traffic system Calculating according to the formula (4) to obtain the predicted traffic fleet size e Traffic system Equation (4) is as follows:
e traffic system ＝d Traffic system ×T Traffic system (4)。
(II) the process of predicting the air browsing traffic demand comprises:
A. based on the predicted tourist scale of the city where the seaplane is located and the proportion of the tourist flow in the air to the tourist number of the city, obtaining the air browsing demand of the seaplane;
Currently, the main influencing group of air tourists is tourists in the city of a water airport.
Specifically, according to the tourist quantity and the increasing trend of the city of the water airport in a preset time period, such as the last 5 years, the general development rule of the tourist industry is consulted to obtain the predicted tourist scale a of the city of the water airport Tour guide The method comprises the steps of carrying out a first treatment on the surface of the According to general aviation air tour cases in China, determining the proportion u of air tour passenger flow to urban tourist number Tour guide Obtaining the air tour demand b of the seaplane according to the formula (5) Tour guide Equation (5) is as follows:
b tour guide ＝a Tour guide ×u Tour guide (5)；
B. Based on the air browsing demand of the water plane and the number of passengers carried by the main stream model of the air browsing of the water plane for a single time, the number of times of taking off and landing frames in the air browsing year is predicted;
specifically, based on the air tour demand b of the seaplane Tour guide Single passenger carrying number x according to main stream model of water plane air tour in China Tour guide Calculating according to a formula (6) to obtain the predicted number c of the take-off and landing frames of the sky-tour year Tour guide Equation (6) is as follows:
c tour guide ＝b Tour guide ×x Tour guide (6)；
C. Calculating to obtain the number of the predicted air-tour year flight hours based on the number of the predicted air-tour year take-off and landing frames and the average flight time of each air-tour;
Specifically, based on the prediction of the number of times of taking off and landing of the sky tour year c Tour guide According to the average flight time t of each air tour Tour guide Calculating according to a formula (7) to obtain the predicted flying hours d of the sky-walk years Tour guide Equation (7) is as follows:
d tour guide ＝c Tour guide ÷t Tour guide (7)；
D. And calculating to obtain the predicted browsing fleet size based on the predicted number of flight hours of the air tour year and the number of flight hours of the air tour year of the single aircraft.
And predicting the size of the browsing fleet, namely, the air browsing traffic demand prediction result.
Specifically, based on the predicted number of flight hours d of the sky-tour year Tour guide Number of flight hours for single aircraft in the sky and for average annual tour Tour guide Calculating according to a formula (8) to obtain a predicted browser fleet size e Tour guide Equation (8) is as follows:
e tour guide ＝d Tour guide ×T Tour guide (8)。
(iii) predicting the private flight traffic demand comprising:
A. predicting a high net household scale of more than ten million yuan for the asset and a high net household scale of more than hundred million for the asset within a future preset time period;
specifically, according to local high net value crowd statistics data of cities and surrounding areas, the high net value family scale of the assets exceeding ten millions of yuan and the high net value family scale of the assets exceeding ten millions of yuan are obtained. According to the growth rate and development trend in recent years, predicting the high net value family scale a of assets exceeding ten millions of yuan in the future preset time period Tens of millions of And high net household scale a of assets over billions Billions of 。
B. Predicting a potential demand installment for a seaplane based on the high equity home scale for the asset exceeding ten millions of dollars and the high equity home scale for the asset exceeding hundred million;
specifically, according to the development condition of private flight at home and abroad, predicting that 10% of families with more than 1 hundred million RMB have potential chartered plane demands, wherein the chartered plane demands of each family are 10 frames/year; in high net value households above the ten million RMB of the asset, 1% has potential bagging machine requirements, the bagging machine requirements of each household are about 1 frame per year, and the predicted potential requirement of the seaplane c is obtained according to the formula (9) Private fly Equation (9) is as follows:
c private fly ＝a Tens of millions of ×1％×1+a Billions of ×10％×10 (9)；
C. Calculating to obtain predicted flight hours of the private flight years of the water plane based on the potential demand frame times of the water plane and the single average time of the private flight of the water plane;
specifically, the potential demand of the seaplane is based on prediction, and c is set Private fly According to the single average time t of private flight of the seaplane at home and abroad Private fly Calculating according to a formula (10) to obtain the predicted private flying annual flying hour t of the seaplane Private fly Equation (10) is as follows:
d private fly ＝c Private fly ×t Private fly (10)；
D. And calculating to obtain the predicted private airplane fleet scale based on the predicted private flight year flight hours and the number of the individual seaplane private flight year average flight hours.
Wherein the private aircraft fleet size, i.e., the private flight traffic demand forecast, is predicted.
Specifically, based on prediction of the private annual flying hour t of the seaplane Private fly And private annual average flight hours T for single seaplane Private fly Calculating to obtain the predicted private plane fleet size e according to the formula (11) Private fly Equation (11) is as follows:
e private fly ＝d Private fly ÷T Tour guide (11)；
(IV) the process of predicting the emergency rescue traffic demand comprises the following steps:
A. calculating the number of times of the emergency rescue of the seaplane based on the predicted total emergency rescue requirement and the predicted emergency rescue proportion of the seaplane;
specifically, the total emergency rescue frequency is obtained according to statistics data such as forest fire extinguishment and offshore rescue in cities and surrounding areas, and the total emergency rescue requirement a is predicted according to the increase rate and the increase trend of the emergency rescue frequency of the cities of the water airports in a preset time period, such as the last 5 years, referring to the general development rule of the emergency rescue Emergency The method comprises the steps of carrying out a first treatment on the surface of the Predicting the emergency rescue proportion u of the seaplane according to the application conditions of the emergency rescue of the seaplane at home and abroad Emergency Calculated according to formula (12)Obtaining the emergency rescue times c of the seaplane Emergency Equation (12) is as follows:
c emergency ＝a Emergency ×u Emergency (12)；
B. Calculating the total time of the emergency rescue of the seaplane based on the times of the emergency rescue of the seaplane and the average time of the single emergency rescue of the city where the seaplane is located;
specifically, based on the number of times of emergency rescue c of the seaplane Emergency And average time t of single emergency rescue in city where water airport is located Emergency Calculating the total emergency rescue time d of the seaplane according to the formula (13) Emergency Equation (13) is as follows:
d emergency ＝c Emergency ×t Emergency (13)；
C. And calculating to obtain the emergency rescue fleet scale based on the total emergency rescue time of the seaplane and the annual average flight hours of the emergency rescue of the single airplane.
The emergency rescue fleet scale is the emergency rescue business volume demand prediction result.
Specifically, based on the total time d of the emergency rescue of the seaplane Emergency And number of annual average flight hours T for emergency rescue of single aircraft Emergency Calculating according to formula (14) to obtain the emergency rescue fleet size e Emergency Equation (14) is as follows:
e emergency ＝d Emergency ÷T Emergency (14)。
3) And summarizing the travel traffic volume demand prediction result, the air browsing traffic volume demand prediction result, the private flight traffic volume demand prediction result and the emergency rescue traffic volume demand prediction result to obtain the airport traffic volume.
Wherein the airport traffic includes: annual lifting frame times c of airport on water Total (S) Time of year of flight d Total (S) Fleet Scale e Total (S) 。
Annual lifting frame times c of airport on water Total (S) The calculation formula of (2) is as follows:
c total (S) ＝c Traffic system +c Tour guide +c Private fly +c Emergency (15)；
Annual time of flight d Total (S) The calculation formula of (2) is as follows:
d total (S) ＝d Traffic system +d Tour guide +d Private fly +d Emergency (16)；
Fleet Scale e Total (S) The calculation formula of (2) is as follows:
e total (S) ＝e Traffic system +e Tour guide +e Private fly +e Emergency (17)。
Step S102, predicting the construction scale of the water airport based on the water airport traffic;
specifically, according to the running conditions of the airports at home and abroad, the peak daily concentration rate n is determined Day of the day And peak time concentration n Hours of ；
According to the annual take-off and landing times c of the airport Total (S) Calculating the average lifting and lowering times;
on the basis of the average lifting and descending frame times, the peak hour lifting and descending frame times c are calculated according to a formula (18) Peak Equation (18) is as follows:
c Peak ＝c total (S) /365×n Day of the day ×n Hours of (18)；
Lifting and landing times c based on peak hours Peak Average passenger number x of seaplane Are all Calculating the peak hour passenger quantity a according to the formula (19) Peak Equation (19) is as follows:
a Peak ＝c Peak ×x are all (19)；
Based on peak hour passenger volume a Peak And the average area y of water airport Are all Calculating the total area S of the passenger waiting area according to the formula (20) Total (S) Equation (20) is as follows:
S Total (S) ＝a Peak ×y Are all (20)。
Step S103, determining N suitable building areas of the airport by combining local water area resources based on the airport building scale and the traffic volume;
wherein N is a positive integer;
based on the construction scale of the water airport, general investigation is carried out on all rivers, lakes, reservoirs and coastlines in the area, and a plurality of suitable areas of the water airport are selected from the factors of whether the water area scale is suitable for construction, whether obvious barriers exist nearby, whether the water area scale is positioned in an environment protection area or a water source protection area and the like.
Step S104, performing preliminary screening on the N suitable areas according to preset water airport site selection conditions to obtain M water airport alternative sites;
wherein M is a positive integer.
The preset water airport site selection conditions may include: ocean functions, hydrologic conditions, land properties, limiting factors, etc.
Specifically, the suitable building area of the water airport is subjected to partition refinement to obtain a plurality of partitions;
preliminarily evaluating the characteristics of each partition from the aspects of ocean functions, hydrologic conditions, land use properties, limiting factors and the like;
combining or independently constructing the planned water airport shoreline facility with the existing or planned ship wharf, and summarizing and screening the primary sites meeting the conditions from each partition to obtain the water airport alternative sites.
Step 105, scoring each water airport alternative site from preset multi-dimensions to obtain a comprehensive score of each water airport alternative site;
in this embodiment, the preset multi-dimension may include: site planning adaptability, site construction feasibility, site social acceptance, site airspace feasibility and site traffic accessibility.
Specifically, adaptive analysis of site planning: and analyzing whether the site accords with the urban space development strategy, the water area function use planning, the ecological environment planning, the channel planning and the like, and respectively scoring and assigning values.
Site construction feasibility analysis: the site conditions are analyzed from the aspects of land conditions, meteorological conditions (including precipitation, wind conditions, typhoons, air temperatures, fog and the like), hydrologic conditions (including water depth, tides, water levels, waves, substrates, coastal dynamic landforms and the like), restrictive conditions and the like, and scoring and assignment are respectively carried out.
Site social acceptance analysis: and analyzing the noise influence range and the noise intensity of each site, and the height limiting control area and the control height, determining the influence on the construction of surrounding cities and the life of residents, and respectively performing scoring assignment.
Site traffic reachability analysis: traffic accessibility of urban market sites is analyzed from airport land side traffic accessibility indexes including factors such as expressways, urban expressways, rail traffic and the like, and scoring assignment is respectively carried out.
And (3) field airspace feasibility analysis: the site conditions of the limiting area around the area, the adjacent area of the peripheral airport, the distance between the adjacent area and the peripheral airport and the like are analyzed, and scoring and assignment are respectively carried out.
And S106, determining the water airport alternative site with the highest comprehensive score as the water airport recommended site.
In summary, the invention discloses a method for selecting a water airport, which predicts the traffic volume of the water airport based on the determined traffic demand of the water airport, and the traffic demand of the water airport comprises the following steps: travel traffic demand, air browsing traffic demand, private flight traffic demand and emergency rescue traffic demand, predicting the construction scale of the water airport based on the water airport traffic, determining the suitable construction area of the water airport based on the water airport construction scale, primarily screening the suitable construction area according to preset water airport site selection conditions to obtain water airport alternative sites, scoring each water airport alternative site from preset multiple dimensions to obtain the comprehensive score of each water airport alternative site, and determining the water airport alternative site with the highest comprehensive score as the water airport recommended site. Compared with the traditional water airport site selection mainly based on the water airport layout, the method comprehensively analyzes the travel traffic volume demand, the air browsing traffic volume demand, the private flight traffic volume demand and the emergency rescue traffic volume demand of the water airport, determines the construction scale of the water airport based on the demands, determines the proper construction area of the water airport, and obtains the recommended site of the water airport by primarily screening and multi-dimensional scoring of each proper construction area.
Corresponding to the embodiment of the method, the invention also discloses a water airport site selection system.
Referring to fig. 2, a schematic structural diagram of a water airport site selection system according to an embodiment of the present invention is disclosed, the system includes:
a first prediction unit 201, configured to determine a traffic demand of a water airport, and predict a water airport traffic volume based on the traffic demand;
the business requirements of the water airport may include: travel traffic demand, air browsing traffic demand, private flight traffic demand, and emergency rescue traffic demand.
Thus, the first prediction unit 201 may specifically be configured to:
1) Determining a business requirement for a water airport, the business requirement comprising: travel traffic demand, air browsing traffic demand, private flight traffic demand and emergency rescue traffic demand;
2) Respectively predicting the travel traffic demand, the air browsing traffic demand, the private flight traffic demand and the emergency rescue traffic demand to obtain a travel traffic demand prediction result, an air browsing traffic demand prediction result, a private flight traffic demand prediction result and an emergency rescue traffic demand prediction result;
Wherein the predicting the travel traffic demand comprises:
A. obtaining the water plane travel traffic demand based on the predicted tourist scale of the city where the water airport is located and the proportion of the travel traffic passenger flow to the number of tourists in the city;
at present, the water airports at home and abroad are mainly served by the tourism industry, so tourists in the city of the water airport are used as influence groups for forecasting the tourism traffic demand.
In particular, according to the city of the airport on waterEstimating the predicted tourist scale a of the city where the future water airport is located by referring to the general development rule of the tourism industry in a preset time period, such as the tourist volume and the growth trend of the recent 5 years Traffic system The method comprises the steps of carrying out a first treatment on the surface of the According to the general aviation travel traffic case in China, determining the proportion u of the travel traffic passenger flow to the urban travel number Traffic system Calculating according to a formula (1) to obtain the water plane travel traffic demand b Traffic system Equation (1) is as follows:
b traffic system ＝a Traffic system ×u Traffic system (1)；
B. Based on the water plane travel traffic demand and the number of passengers carried by the main stream model single time of the water plane travel traffic, the number of times of taking off and landing frames in the year of the travel traffic is predicted;
in particular, based on the water plane travel traffic demand b Traffic system According to the main stream model single passenger carrying number x of the water plane travel traffic in China Traffic system Calculating according to the formula (2) to obtain the number c of the estimated annual take-off and landing frames of the tourism traffic Traffic system Equation (2) is as follows:
c traffic system ＝b Traffic system ×x Traffic system (2)；
C. Obtaining the number of estimated annual flight hours of the tourist traffic based on the estimated annual departure/landing times of the tourist traffic and the average flight time of each tourist traffic;
specifically, based on the number of times of predicting annual departure and landing of travel traffic, c Traffic system According to the average flight time t of each travel traffic Traffic system Calculating according to a formula (3) to obtain the estimated annual flying hour number d of the tourism traffic Traffic system Equation (3) is as follows:
d traffic system ＝c Traffic system ÷t Traffic system (3)；
D. And obtaining the predicted fleet size based on the predicted annual flight hours for travel traffic and the annual average flight hours for the aircraft.
And predicting the fleet size, namely the travel traffic demand prediction result.
Specifically, based on the number d of flying hours of the estimated travel traffic year Traffic system And general aircraft annual average in ChinaNumber of flight hours T Traffic system Calculating according to the formula (4) to obtain the predicted traffic fleet size e Traffic system Equation (4) is as follows:
e traffic system ＝d Traffic system ×T Traffic system (4)。
(II) the process of predicting the air browsing traffic demand comprises:
A. Based on the predicted tourist scale of the city where the seaplane is located and the proportion of the tourist flow in the air to the tourist number of the city, obtaining the air browsing demand of the seaplane;
currently, the main influencing group of air tourists is tourists in the city of a water airport.
Specifically, according to the tourist quantity and the increasing trend of the city of the water airport in a preset time period, such as the last 5 years, the general development rule of the tourist industry is consulted to obtain the predicted tourist scale a of the city of the water airport Tour guide The method comprises the steps of carrying out a first treatment on the surface of the According to general aviation air tour cases in China, determining the proportion u of air tour passenger flow to urban tourist number Tour guide Obtaining the air tour demand b of the seaplane according to the formula (5) Tour guide Equation (5) is as follows:
b tour guide ＝a Tour guide ×u Tour guide (5)；
B. Based on the air browsing demand of the water plane and the number of passengers carried by the main stream model of the air browsing of the water plane for a single time, the number of times of taking off and landing frames in the air browsing year is predicted;
specifically, based on the air tour demand b of the seaplane Tour guide Single passenger carrying number x according to main stream model of water plane air tour in China Tour guide Calculating according to a formula (6) to obtain the predicted number c of the take-off and landing frames of the sky-tour year Tour guide Equation (6) is as follows:
c tour guide ＝b Tour guide ×x Tour guide (6)；
C. Calculating to obtain the number of the predicted air-tour year flight hours based on the number of the predicted air-tour year take-off and landing frames and the average flight time of each air-tour;
specifically, based on predictive airNumber of times of taking off and landing frame in sightseeing year c Tour guide According to the average flight time t of each air tour Tour guide Calculating according to a formula (7) to obtain the predicted flying hours d of the sky-walk years Tour guide Equation (7) is as follows:
d tour guide ＝c Tour guide ÷t Tour guide (7)；
D. And calculating to obtain the predicted browsing fleet size based on the predicted number of flight hours of the air tour year and the number of flight hours of the air tour year of the single aircraft.
And predicting the size of the browsing fleet, namely, the air browsing traffic demand prediction result.
Specifically, based on the predicted number of flight hours d of the sky-tour year Tour guide Number of flight hours for single aircraft in the sky and for average annual tour Tour guide Calculating according to a formula (8) to obtain a predicted browser fleet size e Tour guide Equation (8) is as follows:
e tour guide ＝d Tour guide ×T Tour guide (8)。
(iii) predicting the private flight traffic demand comprising:
A. predicting a high net household scale of more than ten million yuan for the asset and a high net household scale of more than hundred million for the asset within a future preset time period;
Specifically, according to local high net value crowd statistics data of cities and surrounding areas, the high net value family scale of the assets exceeding ten millions of yuan and the high net value family scale of the assets exceeding ten millions of yuan are obtained. According to the growth rate and development trend in recent years, predicting the high net value family scale a of assets exceeding ten millions of yuan in the future preset time period Tens of millions of And high net household scale a of assets over billions Billions of 。
B. Predicting a potential demand installment for a seaplane based on the high equity home scale for the asset exceeding ten millions of dollars and the high equity home scale for the asset exceeding hundred million;
specifically, according to the development condition of private flight at home and abroad, predicting that 10% of families with more than 1 hundred million RMB have potential chartered plane demands, wherein the chartered plane demands of each family are 10 frames/year; at the cost ofIn families with high net value and more than ten million RMB, 1% of the families have potential package machine demands, the package machine demands of each family are about 1 frame per year, and the predicted potential demand frame c of the seaplane is obtained according to a formula (9) Private fly Equation (9) is as follows:
c private fly ＝a Tens of millions of ×1％×1+a Billions of ×10％×10 (9)；
C. Calculating to obtain predicted flight hours of the private flight years of the water plane based on the potential demand frame times of the water plane and the single average time of the private flight of the water plane;
Specifically, the potential demand of the seaplane is based on prediction, and c is set Private fly According to the single average time t of private flight of the seaplane at home and abroad Private fly Calculating according to a formula (10) to obtain the predicted private flying annual flying hour t of the seaplane Private fly Equation (10) is as follows:
d private fly ＝c Private fly ×t Private fly (10)；
D. And calculating to obtain the predicted private airplane fleet scale based on the predicted private flight year flight hours and the number of the individual seaplane private flight year average flight hours.
Wherein the private aircraft fleet size, i.e., the private flight traffic demand forecast, is predicted.
Specifically, based on prediction of the private annual flying hour t of the seaplane Private fly And private annual average flight hours T for single seaplane Private fly Calculating to obtain the predicted private plane fleet size e according to the formula (11) Private fly Equation (11) is as follows:
e private fly ＝d Private fly ÷T Tour guide (11)；
(IV) the process of predicting the emergency rescue traffic demand comprises the following steps:
A. calculating the number of times of the emergency rescue of the seaplane based on the predicted total emergency rescue requirement and the predicted emergency rescue proportion of the seaplane;
specifically, the method is characterized in that the response is obtained according to statistics data such as forest fire extinguishment, offshore rescue and the like in cities and surrounding areas The total emergency rescue frequency is calculated according to the increase rate and the increase trend of the emergency rescue frequency in a preset time period, such as the last 5 years, of the city where the water airport is located, and the general development rule of the emergency rescue is referred to, so that the total emergency rescue requirement a is predicted Emergency The method comprises the steps of carrying out a first treatment on the surface of the Predicting the emergency rescue proportion u of the seaplane according to the application conditions of the emergency rescue of the seaplane at home and abroad Emergency Calculating the number of times c of emergency rescue of the seaplane according to a formula (12) Emergency Equation (12) is as follows:
c emergency ＝a Emergency ×u Emergency (12)；
B. Calculating the total time of the emergency rescue of the seaplane based on the times of the emergency rescue of the seaplane and the average time of the single emergency rescue of the city where the seaplane is located;
specifically, based on the number of times of emergency rescue c of the seaplane Emergency And average time t of single emergency rescue in city where water airport is located Emergency Calculating the total emergency rescue time d of the seaplane according to the formula (13) Emergency Equation (13) is as follows:
d emergency ＝c Emergency ×t Emergency (13)；
C. And calculating to obtain the emergency rescue fleet scale based on the total emergency rescue time of the seaplane and the annual average flight hours of the emergency rescue of the single airplane.
The emergency rescue fleet scale is the emergency rescue business volume demand prediction result.
Specifically, based on the total time d of the emergency rescue of the seaplane Emergency And number of annual average flight hours T for emergency rescue of single aircraft Emergency Calculating according to formula (14) to obtain the emergency rescue fleet size e Emergency Equation (14) is as follows:
e emergency ＝d Emergency ÷T Emergency (14)。
3) And summarizing the travel traffic volume demand prediction result, the air browsing traffic volume demand prediction result, the private flight traffic volume demand prediction result and the emergency rescue traffic volume demand prediction result to obtain the airport traffic volume.
Wherein the airport traffic includes: annual lifting frame times c of airport on water Total (S) Time of year of flight d Total (S) Fleet Scale e Total (S) 。
Annual lifting frame times c of airport on water Total (S) The calculation formula of (2) is as follows:
c total (S) ＝c Traffic system +c Tour guide +c Private fly +c Emergency (15)；
Annual time of flight d Total (S) The calculation formula of (2) is as follows:
d total (S) ＝d Traffic system +d Tour guide +d Private fly +d Emergency (16)；
Fleet Scale e Total (S) The calculation formula of (2) is as follows:
e total (S) ＝e Traffic system +e Tour guide +e Private fly +e Emergency (17)。
A second prediction unit 202, configured to predict a construction scale of the airport based on the airport traffic;
the second prediction unit 202 may specifically be configured to:
according to the running condition of the domestic and foreign water airports, determining the concentration rate n of the peak day Day of the day And peak time concentration n Hours of ；
According to the annual take-off and landing times c of the airport Total (S) Calculating the average lifting and lowering times;
on the basis of the average lifting and descending frame times, the peak hour lifting and descending frame times c are calculated according to a formula (18) Peak Equation (18) is as follows:
c Peak ＝c total (S) /365×n Day of the day ×n Hours of (18)；
Lifting and landing times c based on peak hours Peak Average passenger number x of seaplane Are all Calculating the peak hour passenger quantity a according to the formula (19) Peak Equation (19) is as follows:
a Peak ＝c Peak ×x are all (19)；
Based on peak hour passenger volume a Peak And the average area y of water airport Are all Calculating the total area S of the passenger waiting area according to the formula (20) Total (S) Equation (20) is as follows:
S total (S) ＝a Peak ×y Are all (20)。
A first determining unit 203, configured to determine N suitable building areas of the water airport based on the building scale and the traffic volume of the water airport, in combination with local water resources, where N is a positive integer;
based on the construction scale of the water airport, general investigation is carried out on all rivers, lakes, reservoirs and coastlines in the area, and a plurality of suitable areas of the water airport are selected from the factors of whether the water area scale is suitable for construction, whether obvious barriers exist nearby, whether the water area scale is positioned in an environment protection area or a water source protection area and the like.
A screening unit 204, configured to perform preliminary screening on N suitable areas according to preset airport site selection conditions, to obtain M airport alternative sites, where M is a positive integer;
Wherein M is a positive integer.
The preset water airport site selection conditions may include: ocean functions, hydrologic conditions, land properties, limiting factors, etc.
Specifically, the suitable building area of the water airport is subjected to partition refinement to obtain a plurality of partitions;
preliminarily evaluating the characteristics of each partition from the aspects of ocean functions, hydrologic conditions, land use properties, limiting factors and the like;
combining or independently constructing the planned water airport shoreline facility with the existing or planned ship wharf, and summarizing and screening the primary sites meeting the conditions from each partition to obtain the water airport alternative sites.
A scoring unit 205, configured to score each of the water airport candidate sites from a preset multi-dimension, so as to obtain a composite score of each of the water airport candidate sites;
in this embodiment, the preset multi-dimension may include: site planning adaptability, site construction feasibility, site social acceptance, site airspace feasibility and site traffic accessibility.
Specifically, adaptive analysis of site planning: and analyzing whether the site accords with the urban space development strategy, the water area function use planning, the ecological environment planning, the channel planning and the like, and respectively scoring and assigning values.
Site construction feasibility analysis: the site conditions are analyzed from the aspects of land conditions, meteorological conditions (including precipitation, wind conditions, typhoons, air temperatures, fog and the like), hydrologic conditions (including water depth, tides, water levels, waves, substrates, coastal dynamic landforms and the like), restrictive conditions and the like, and scoring and assignment are respectively carried out.
Site social acceptance analysis: and analyzing the noise influence range and the noise intensity of each site, and the height limiting control area and the control height, determining the influence on the construction of surrounding cities and the life of residents, and respectively performing scoring assignment.
Site traffic reachability analysis: traffic accessibility of urban market sites is analyzed from airport land side traffic accessibility indexes including factors such as expressways, urban expressways, rail traffic and the like, and scoring assignment is respectively carried out.
And (3) field airspace feasibility analysis: the site conditions of the limiting area around the area, the adjacent area of the peripheral airport, the distance between the adjacent area and the peripheral airport and the like are analyzed, and scoring and assignment are respectively carried out.
A second determining unit 206, configured to determine the airport candidate site with the highest comprehensive score as the airport recommended site.
In summary, the invention discloses a water airport site selection system, which predicts water airport traffic based on determined water airport traffic demand, the water airport traffic demand comprises: travel traffic demand, air browsing traffic demand, private flight traffic demand and emergency rescue traffic demand, predicting the construction scale of the water airport based on the water airport traffic, determining the suitable construction area of the water airport based on the water airport construction scale, primarily screening the suitable construction area according to preset water airport site selection conditions to obtain water airport alternative sites, scoring each water airport alternative site from preset multiple dimensions to obtain the comprehensive score of each water airport alternative site, and determining the water airport alternative site with the highest comprehensive score as the water airport recommended site. Compared with the traditional water airport site selection mainly based on the water airport layout, the method comprehensively analyzes the travel traffic volume demand, the air browsing traffic volume demand, the private flight traffic volume demand and the emergency rescue traffic volume demand of the water airport, determines the construction scale of the water airport based on the demands, determines the proper construction area of the water airport, and obtains the recommended site of the water airport by primarily screening and multi-dimensional scoring of each proper construction area.
Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
In the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, and identical and similar parts between the embodiments are all enough to refer to each other.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (8)

1. A method of locating a water airport, comprising:
determining the business requirement of the water airport, and predicting the business quantity of the water airport based on the business requirement;
predicting a water airport construction scale based on the water airport traffic;
based on the construction scale and the traffic volume of the water airport, N suitable construction areas of the water airport are determined by combining local water area resources, wherein N is a positive integer;
preliminary screening is carried out on the N suitable building areas according to preset water airport site selection conditions to obtain M water airport alternative sites, wherein M is a positive integer;
scoring each of the water airport candidate sites from preset multi-dimensions to obtain a comprehensive score of each of the water airport candidate sites, wherein the preset multi-dimensions comprise: site planning adaptability, site construction feasibility, site social acceptance, site airspace feasibility and site traffic accessibility;
scoring from the site planning adaptability includes: analyzing whether the alternative sites of the water airports accord with urban space development strategy, water area function use planning and ecological environment and channel planning, and respectively scoring and assigning values to each alternative site of the water airports;
Scoring from the site construction feasibility includes: analyzing site conditions from land conditions, meteorological conditions, hydrologic conditions and restrictive conditions, and respectively scoring and assigning each alternative site of the water airport;
scoring from the site social acceptance includes: determining influences on surrounding city construction and resident life according to the noise influence range, the noise intensity, the height limiting control area and the control height, and respectively scoring and assigning each alternative site of the water airport;
scoring from the site airspace feasibility includes: scoring and assigning each water airport alternative site according to a limiting area around the area, a peripheral airport adjacent area and a site situation analyzed by distance between the peripheral airport adjacent area and the peripheral airport;
scoring from the site traffic reachability includes: analyzing the traffic accessibility of urban market sites from airport land-side traffic accessibility indexes, respectively scoring and assigning each alternative site of the water airport, wherein the airport land-side traffic accessibility indexes comprise expressways, urban expressways and rail traffic factors;
determining the alternative site of the water airport with the highest comprehensive score as the recommended site of the water airport;
The method for determining the business requirement of the water airport and predicting the business quantity of the water airport based on the business requirement specifically comprises the following steps: determining a business requirement for a water airport, the business requirement comprising: travel traffic demand, air browsing traffic demand, private flight traffic demand and emergency rescue traffic demand; respectively predicting the travel traffic demand, the air browsing traffic demand, the private flight traffic demand and the emergency rescue traffic demand to obtain a travel traffic demand prediction result, an air browsing traffic demand prediction result, a private flight traffic demand prediction result and an emergency rescue traffic demand prediction result; and summarizing the travel traffic volume demand prediction result, the air browsing traffic volume demand prediction result, the private flight traffic volume demand prediction result and the emergency rescue traffic volume demand prediction result to obtain the airport traffic volume.
2. The method of water airport site selection of claim 1, wherein predicting said travel traffic demand comprises:
obtaining the water plane travel traffic demand based on the predicted tourist scale of the city where the water airport is located and the proportion of the travel traffic passenger flow to the number of tourists in the city;
Based on the water plane travel traffic demand and the number of passengers carried by the main stream model single time of the water plane travel traffic, the number of times of taking off and landing frames in the year of the travel traffic is predicted;
obtaining the number of estimated annual flight hours of the tourist traffic based on the estimated annual departure/landing times of the tourist traffic and the average flight time of each tourist traffic;
and obtaining the predicted fleet size as the prediction result of the travel traffic demand based on the predicted number of annual flight hours of the travel traffic and the number of annual average flight hours of the aircraft.
3. The method of water airport site selection of claim 1, wherein predicting said air browsing traffic demand comprises:
based on the predicted tourist scale of the city where the seaplane is located and the proportion of the tourist flow in the air to the tourist number of the city, obtaining the air browsing demand of the seaplane;
based on the air browsing demand of the water plane and the number of passengers carried by the main stream model of the air browsing of the water plane for a single time, the number of times of taking off and landing frames in the air browsing year is predicted;
calculating to obtain the number of the predicted air-tour year flight hours based on the number of the predicted air-tour year take-off and landing frames and the average flight time of each air-tour;
And calculating to obtain the predicted fleet size serving as the predicted result of the air browsing traffic demand based on the predicted number of air browsing years and the number of air browsing years of a single aircraft.
4. The method of water airport site selection of claim 1, wherein predicting the private flight traffic demand comprises:
predicting a high net household scale of more than ten million yuan for the asset and a high net household scale of more than hundred million for the asset within a future preset time period;
predicting a potential demand installment for a seaplane based on the high equity home scale for the asset exceeding ten millions of dollars and the high equity home scale for the asset exceeding hundred million;
calculating to obtain predicted flight hours of the private flight years of the water plane based on the potential demand frame times of the water plane and the single average time of the private flight of the water plane;
and calculating to obtain the predicted private airplane fleet size serving as the predicted private flight traffic demand result based on the predicted private annual flight hours of the water plane and the number of the individual annual average flight hours of the water plane.
5. The method of water airport site selection of claim 1, wherein predicting the emergency rescue traffic demand comprises:
Calculating the number of times of the emergency rescue of the seaplane based on the predicted total emergency rescue requirement and the predicted emergency rescue proportion of the seaplane;
calculating the total time of the emergency rescue of the seaplane based on the times of the emergency rescue of the seaplane and the average time of the single emergency rescue of the city where the seaplane is located;
and calculating the emergency rescue fleet scale serving as the emergency rescue business volume demand prediction result based on the total emergency rescue time of the seaplane and the annual average flight hours of the emergency rescue of the single airplane.
6. The method for locating a water airport according to claim 1, wherein said predicting the water airport construction scale based on said water airport traffic comprises:
according to the running condition of the domestic and foreign water airports, determining the concentration rate n of the peak day Day of the day And peak time concentration n Hours of ；
According to the annual take-off and landing times c of the airport Total (S) Calculating the average lifting and lowering times;
on the basis of the daily lifting and descending frame times, the lifting and descending frame times c with peak hours are calculated according to the following formula Peak ：
c Peak =c Total (S) /365×n Day of the day ×n Hours of ；
Taking off and landing times c based on the peak hours Peak Average passenger number x of seaplane Are all The peak hour passenger quantity a is calculated according to the following formula Peak ：
a Peak =c Peak ×x Are all ；
Based on the peak hour passenger quantity a Peak And the average area y of water airport Are all The total area S of the passenger waiting area is calculated according to the following formula Total (S) ：
S Total (S) =a Peak ×y Are all 。
7. A water airport site selection system, comprising:
the first prediction unit is used for determining the business requirement of the water airport and predicting the business volume of the water airport based on the business requirement;
a second prediction unit for predicting a construction scale of the airport based on the airport traffic;
the first determining unit is used for determining N adaptive areas of the water airport based on the construction scale and the traffic volume of the water airport and combining local water area resources, wherein N is a positive integer;
the screening unit is used for primarily screening the N suitable building areas according to preset water airport site selection conditions to obtain M water airport alternative sites, wherein M is a positive integer;
the scoring unit is used for scoring each water airport candidate site from preset multiple dimensions to obtain a comprehensive score of each water airport candidate site, wherein the preset multiple dimensions comprise: site planning adaptability, site construction feasibility, site social acceptance, site airspace feasibility and site traffic accessibility;
The scoring unit adaptively scoring from the site plan includes: analyzing whether the alternative sites of the water airports accord with urban space development strategy, water area function use planning and ecological environment and channel planning, and respectively scoring and assigning values to each alternative site of the water airports;
the scoring unit scoring from the site construction feasibility includes: analyzing site conditions from land conditions, meteorological conditions, hydrologic conditions and restrictive conditions, and respectively scoring and assigning each alternative site of the water airport;
the scoring unit scoring from the site social acceptance includes: determining influences on surrounding city construction and resident life according to the noise influence range, the noise intensity, the height limiting control area and the control height, and respectively scoring and assigning each alternative site of the water airport;
the scoring unit scoring from the site airspace feasibility includes: scoring and assigning each water airport alternative site according to a limiting area around the area, a peripheral airport adjacent area and a site situation analyzed by distance between the peripheral airport adjacent area and the peripheral airport;
the scoring unit scoring from the site traffic reachability includes: analyzing the traffic accessibility of urban market sites from airport land-side traffic accessibility indexes, respectively scoring and assigning each alternative site of the water airport, wherein the airport land-side traffic accessibility indexes comprise expressways, urban expressways and rail traffic factors;
A second determining unit, configured to determine, as a recommended airport site of the airport, an airport candidate site with the highest comprehensive score;
the first prediction unit is specifically configured to: determining a business requirement for a water airport, the business requirement comprising: travel traffic demand, air browsing traffic demand, private flight traffic demand and emergency rescue traffic demand; respectively predicting the travel traffic demand, the air browsing traffic demand, the private flight traffic demand and the emergency rescue traffic demand to obtain a travel traffic demand prediction result, an air browsing traffic demand prediction result, a private flight traffic demand prediction result and an emergency rescue traffic demand prediction result; and summarizing the travel traffic volume demand prediction result, the air browsing traffic volume demand prediction result, the private flight traffic volume demand prediction result and the emergency rescue traffic volume demand prediction result to obtain the airport traffic volume.
8. The water airport site selection system of claim 7, wherein the second prediction unit is specifically configured to:
according to the running condition of the domestic and foreign water airports, determining the concentration rate n of the peak day Day of the day And peak time concentration n Hours of ；
According to the annual take-off and landing times c of the airport Total (S) Calculating the average lifting and lowering times;
on the basis of the daily lifting and descending frame times, the lifting and descending frame times c with peak hours are calculated according to the following formula Peak ：
c Peak =c Total (S) /365×n Day of the day ×n Hours of ；
Taking off and landing times c based on the peak hours Peak Average passenger number x of seaplane Are all The peak hour passenger quantity a is calculated according to the following formula Peak ：
a Peak =c Peak ×x Are all ；
Based on the peak hour passenger quantity a Peak And the average area y of water airport Are all The total area S of the passenger waiting area is calculated according to the following formula Total (S) ：
S Total (S) =a Peak ×y Are all 。
CN202010139060.7A 2020-03-03 2020-03-03 Method and system for selecting site of water airport Active CN111369050B (en)

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