CN110675110A - Express delivery distribution hub center site selection method and device based on subway network - Google Patents
Express delivery distribution hub center site selection method and device based on subway network Download PDFInfo
- Publication number
- CN110675110A CN110675110A CN201910940642.2A CN201910940642A CN110675110A CN 110675110 A CN110675110 A CN 110675110A CN 201910940642 A CN201910940642 A CN 201910940642A CN 110675110 A CN110675110 A CN 110675110A
- Authority
- CN
- China
- Prior art keywords
- area
- subway
- preset
- selecting
- site selection
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012384 transportation and delivery Methods 0.000 title claims abstract description 61
- 238000010187 selection method Methods 0.000 title claims abstract description 15
- 238000012545 processing Methods 0.000 claims abstract description 28
- 238000004458 analytical method Methods 0.000 claims abstract description 24
- 241000282414 Homo sapiens Species 0.000 claims abstract description 8
- 238000005457 optimization Methods 0.000 claims description 37
- 238000000034 method Methods 0.000 claims description 26
- 238000004364 calculation method Methods 0.000 claims description 9
- 238000012216 screening Methods 0.000 claims description 6
- 230000005855 radiation Effects 0.000 claims description 4
- 230000002093 peripheral effect Effects 0.000 abstract description 3
- 238000011160 research Methods 0.000 description 5
- 238000012546 transfer Methods 0.000 description 5
- 208000013715 atelosteogenesis type I Diseases 0.000 description 4
- 238000011161 development Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 241000233805 Phoenix Species 0.000 description 2
- 230000008878 coupling Effects 0.000 description 2
- 238000010168 coupling process Methods 0.000 description 2
- 238000005859 coupling reaction Methods 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- 235000006679 Mentha X verticillata Nutrition 0.000 description 1
- 235000002899 Mentha suaveolens Nutrition 0.000 description 1
- 235000001636 Mentha x rotundifolia Nutrition 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000002902 bimodal effect Effects 0.000 description 1
- 238000010219 correlation analysis Methods 0.000 description 1
- 238000013278 delphi method Methods 0.000 description 1
- 238000005315 distribution function Methods 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 230000002068 genetic effect Effects 0.000 description 1
- 230000005484 gravity Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000003012 network analysis Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000012732 spatial analysis Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/083—Shipping
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/067—Enterprise or organisation modelling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/40—Business processes related to the transportation industry
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Development Economics (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Educational Administration (AREA)
- Game Theory and Decision Science (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses an express delivery distribution hub center site selection method based on a subway network, which comprises the following steps: processing according to the current land utilization situation in the preset area to obtain a first area; processing according to the accessibility of the subway station in the preset area to obtain a second area; processing according to the land price in the preset area to obtain a third area; performing spatial weighted superposition analysis on the first area, the second area and the third area, and selecting a preliminary address point according to preset ideal human trip time and trip speed; determining to obtain a preliminary candidate point by comparing the distribution condition of the peripheral constructable area of the subway station in the preliminary site selection point; and taking the preliminary candidate points as facility points, taking all subway stations in a preset area as demand points, calculating the coverage rate and the total demand when the combination of the facility points or facility points is taken as a hub center by combining the length of subway lines and the running time, and selecting the scheme corresponding to the highest value of the coverage rate and the total demand as the hub center.
Description
Technical Field
The invention relates to the field of site selection, in particular to a method and a device for site selection of an express delivery distribution hub center based on a subway network.
Background
After the 21 st century, the advent of the internet era has driven the rapid growth of electronic commerce, accompanied by a rapidly growing express market. According to data of the national post and government offices, the Chinese express service volume is continuously increased in recent years, and the national express service volume reaches 400.6 hundred million in 2017. Along with the development of the O2O mode, the express delivery in the same city of China enters a high-speed development period. By the first quarter of 2018, the express traffic in the same city of China accounts for 23.8% of the total express. However, with continuous recommendation of urbanization, the problem of urban traffic congestion is becoming more serious, the express cost and the distribution efficiency in the same city are affected, and the urban distribution system is currently facing a great challenge.
In order to relieve the traffic pressure of ground transportation, many cities in China begin to plan and build underground rail traffic (mainly subways). Some scholars begin to propose the concept of "subway logistics", namely, the concept of carrying out express delivery in the same city by using subways. Because the passenger flow distribution of the subway has the characteristic of non-uniformity and is usually in a 'bimodal type', the method can develop delivery service by utilizing the spare capacity of the subway in the off-peak period of the subway, is favorable for saving the delivery cost, relieving the traffic pressure of the road surface and improving the timeliness of the delivery in the same city. Subway network-based co-city express delivery often needs to establish a hub center to store, distribute and transfer express items, so that delivery timeliness is improved. A plurality of subway stations are provided with express delivery points for receiving and sending express deliveries, and special service personnel take the subway to take the express delivery to different subway hub centers according to the destination to which the express delivery is sent. The peripheral region at subway hub central station is provided with the temporary storage area, can deposit the express delivery temporarily, and the business personnel can classify the express delivery according to the mesh point of difference and arrange in order, makes things convenient for the express delivery to distribute the circulation, improves logistics distribution efficiency greatly. And finally, the business personnel in the hub center send the distributed express to different destination sites and receive the express by the business personnel in the destination sites. In this distribution mode, one or more suitable subway stations are selected as hub centers, and a temporary storage area is built in the peripheral area of the hub centers to transfer goods. Due to the reasons of limited space of subway carriages, large passenger flow of subways and the like, the express types suitable for distribution are mainly small-size, light and portable express, such as paper files. In the same city distribution, urgent articles such as files, letters and articles are often required to be delivered among a plurality of companies and enterprises, the express distribution of the type has higher requirements on the arrival time of the express, if the advantages of high subway running speed, wide line coverage and the like can be fully utilized, the distribution efficiency can be improved, and the distribution cost can be reduced.
At present, site selection research of logistics distribution centers at home and abroad tends to be mature, the problems can be divided into three types of problems of continuous site selection, network site selection and discrete site selection according to the characteristics of a site selection target area, and based on the three types of problems, a continuous site selection model, a Delphi expert consultation method site selection model and a discrete site selection model can be respectively established for solving. The continuous site selection model seeks an optimal solution which meets the condition that the sum of the distribution distances is shortest by using a gravity center method; the core of the Delphi method is to judge the addressing problem by comprehensively analyzing expert experience, professional knowledge and data; the discrete model addressing is to select an optimal point in several existing alternative distribution centers, and the common methods include a P-median model method, a coverage model, a mixed-integer programming method and the like. Domestic students also make certain improvements on the basis of the three addressing methods. The method mainly aims at different addressing objects and practical application requirements, provides a specific addressing model to solve practical problems, and some scholars introduce methods such as a fuzzy neural network and a genetic algorithm to optimize addressing results.
However, no method for locating the same-city express delivery distribution hub center for the subway network is provided at present. The existing research on express delivery of subways in the same city mainly stays in feasibility research of subway delivery, and the existing site selection method does not consider site selection of attributes of a subway network, so that the coverage of site selection results is low, and the site selection effect is poor.
Disclosure of Invention
The invention provides an express delivery distribution hub center site selection method based on a subway network, which comprehensively processes three influence factors of the current land utilization situation, the accessibility of the subway and the price of the subway, and selects a station with the highest coverage rate and the highest total demand as a hub center so as to solve the technical problem that the coverage of a site selection result is low because the site selection is not carried out on the attributes of the subway network in the conventional site selection method, thereby comprehensively considering the site selection according to the attributes of the subway network, further improving the range coverage rate of the hub center and enabling the site selection effect to be optimal.
In order to solve the technical problem, an embodiment of the present invention provides a method for selecting a site of an express delivery distribution hub center based on a subway network, including:
processing according to the current land utilization situation in a preset area, and selecting residential land and commercial land in the preset area as a first area of a subway junction center;
processing according to the accessibility of the subway station in a preset area, and selecting an area with a higher accessibility level in the preset area as a second area of the subway hub center;
processing according to the land price in a preset area, and selecting an area with lower rent in the preset area as a third area of the subway junction center;
performing spatial weighted superposition analysis on the first area, the second area and the third area, and selecting a preliminary site selection point with a subway station accessibility range lower than a preset distance value and a house price rent lower than a preset amount value according to preset ideal human trip time and trip speed;
determining to obtain a preliminary candidate point by comparing the distribution condition of the constructable area around the subway station in the preliminary site selection point;
and establishing a model with minimized impedance as a target based on the candidate positions of the initial addressing and the prediction result of the express delivery demand at the periphery of the subway station, and solving the optimal result of the delivery centers with a given number.
Preferably, the processing according to the present land utilization status in a preset area, and selecting residential land and commercial land in the preset area as a first area of a subway junction center, includes:
the method comprises the steps of removing the non-constructable areas in the preset area by utilizing the current land utilization situation and AOI data of the preset area, selecting residential land and commercial land as the areas primarily considered for site selection, converting vector data into raster data, and screening to obtain the first constructable area.
Preferably, the non-constructable area includes an ecological function land area, an education land area and a transportation land area.
Preferably, the processing according to the reachability of the subway station in the preset area, and selecting the area with the higher reachability level in the preset area as the second area of the subway junction center includes:
and performing distance calculation on the accessibility of the subway station in the preset area by using an Euclidean distance analysis method to obtain the radiation radius and the influence distance of the subway station to the surrounding area, and selecting an area which meets a preset distance value from the subway station and the surrounding area as a second area.
As a preferred scheme, the processing according to the land price in a preset area, and selecting an area with a lower rent in the preset area as a third area of the subway junction center includes:
and carrying out layered calculation on the house price data of each residential district in the preset area through an inverse distance weight interpolation analysis algorithm to obtain the multi-layer house price amount in the preset area, and selecting an area corresponding to the multi-layer house price amount lower than the preset amount as a third area.
As a preferred scheme, the express delivery distribution hub center site selection method based on the subway network further comprises the following steps: and selecting subway stations with passenger flow volume lower than a preset passenger flow value from the preliminary candidate points as optimization candidate points, and taking the optimization candidate points as facility points.
Preferably, after the optimization candidate point is taken as a facility point, the method further includes: and selecting a scheme corresponding to the highest value of the coverage rate and the total demand as the junction center by calculating the coverage rate and the total demand when each optimization candidate point or the combination of the optimization candidate points is used as the junction center according to the length and the running time of the subway line.
The embodiment of the invention also provides an express delivery distribution hub center site selection device based on a subway network, which comprises the following components:
the land utilization module is used for processing according to the current land utilization situation in a preset area and selecting residential land and commercial land in the preset area as a first area of the subway junction center;
the distance calculation module is used for processing according to the accessibility of the subway station in a preset area, and selecting an area with a higher accessibility level in the preset area as a second area of the subway hub center;
the land price calculating module is used for processing according to land prices in a preset area and selecting an area with lower rent in the preset area as a third area of the subway junction center;
the preliminary site selection module is used for performing space weighted superposition analysis on the first area, the second area and the third area, and selecting a preliminary site selection point with a subway station accessibility range lower than a preset distance value and a house price rent lower than a preset amount value according to preset ideal human trip time and trip speed;
the candidate site selection module is used for determining and obtaining preliminary candidate points by comparing the distribution conditions of the constructable areas around the subway station in the preliminary site selection points;
and the hub center module is used for establishing a model with minimized impedance as a target based on the candidate positions of the initial site selection and the prediction result of the express delivery demand at the periphery of the subway station, and solving the optimal result of the delivery centers with a given number.
As a preferred scheme, the express delivery distribution hub center site selection device based on the subway network further comprises: and the optimization candidate module is used for selecting subway stations with passenger flow volume lower than a preset passenger flow value from the preliminary candidate points as optimization candidate points and taking the optimization candidate points as facility points.
As a preferred scheme, the express delivery distribution hub center site selection device based on the subway network further comprises: and the optimization junction module is used for calculating the coverage rate and the total demand when the optimization candidate points or the combination of the optimization candidate points are used as the junction center by combining the length and the running time of the subway line after the optimization candidate points are used as facility points, and selecting the scheme corresponding to the highest value of the coverage rate and the total demand as the junction center.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
according to the invention, through comprehensively processing three influence factors of the current land utilization situation, the accessibility of the subway and the land price, the station with the highest coverage rate and the highest total demand is selected as the hub center, so that the technical problem that the coverage of the site selection result is low because the site selection is not carried out on the attributes of the subway network in the existing site selection method is solved, the site selection is comprehensively considered according to the attributes of the subway network, the coverage rate of the hub center is improved, and the site selection effect is optimal.
Drawings
FIG. 1: is an overall technical roadmap in an embodiment of the invention;
FIG. 2: the map is a land utilization status map of Guangzhou city in the embodiment of the invention;
FIG. 3: the invention relates to a European distance analysis chart of a subway station in an embodiment;
FIG. 4: the property distribution diagram of Guangzhou city based on IDW in the embodiment of the invention;
FIG. 5: is a primary site selection result diagram in the embodiment of the invention;
FIG. 6: is a preliminary candidate site map in the embodiment of the invention;
FIG. 7: setting a solving result graph of a subway junction center in the embodiment of the invention;
FIG. 8: setting a solving result graph of two subway junction centers in the embodiment of the invention;
FIG. 9: the optimized preliminary candidate site diagram in the embodiment of the invention is obtained;
FIG. 10: setting a solving result graph of a subway junction center for the optimized subway in the embodiment of the invention;
FIG. 11: the optimized solving result graph for setting the centers of the two subway hubs in the embodiment of the invention is shown.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, in the present embodiment, a prefened embodiment of the present invention provides a method for selecting a site of an express delivery distribution hub center based on a subway network, and in the present embodiment, a major influencing factor and a factor for evaluating suitability of a subway hub center site are selected based on a temporary storage function, a distribution function and a transfer function of a hub center by taking a guangzhou city as an example and taking a guangzhou subway as a research object. The invention mainly carries out preliminary site selection according to three factors of the current land utilization situation, the accessibility of the subway station and the land price, and the screening conditions for determining the factors are as follows: (1) the current situation of land utilization: eliminating ecological functional land, educational land and transportation land, and selecting residential land and commercial land as the site selection area of the subway hub center; (2) accessibility of a subway station: selecting an area with a higher level of accessibility; (3) land price: the area with the lower rent is selected. Therefore, the invention discloses an express delivery distribution hub center site selection method based on a subway network, which specifically comprises the following steps:
s1, processing according to the current land utilization situation in a preset area, and selecting residential land and commercial land in the preset area as a first area of a subway junction center; in this embodiment, the present step includes: the method comprises the steps of removing the non-constructable areas in the preset area by utilizing the current land utilization situation and AOI data of the preset area, selecting residential land and commercial land as the areas primarily considered for site selection, converting vector data into raster data, and screening to obtain the first constructable area. In the present embodiment, the non-constructable region includes an eco-function land region, an education land region, and a transportation land region.
The method comprises the steps of utilizing the current land utilization situation of Guangzhou city land and AOI data, excluding non-constructable areas such as ecological land and the like, selecting residential land and commercial land as areas primarily considered for site selection, converting vector data into grid data, and screening the constructable areas as shown in figure 2.
S2, processing according to the accessibility of the subway station in the preset area, and selecting the area with higher accessibility level in the preset area as a second area of the subway junction center; in this embodiment, the present step includes: and performing distance calculation on the accessibility of the subway station in the preset area by using an Euclidean distance analysis method to obtain the radiation radius and the influence distance of the subway station to the surrounding area, and selecting an area which meets a preset distance value from the subway station and the surrounding area as a second area.
The accessibility of the subway station is evaluated by using an Euclidean distance analysis method, the center of the subway hub is used as a subway transfer station, and a temporary storage area is built in an area needing to be suitable around the subway station to store cargos. Therefore, the area of the site selection should be as close to the subway station as possible, the Euclidean Distance analysis is performed on the subway station, the radiation and influence of the subway station on the surrounding area are solved by using an ArcToolbox-spatial analysis Tools-Distance-Euclidean Distance tool in ArcGIS, and the preliminary site selection range is limited to the subway station and the surrounding area, and the result is shown in fig. 3.
S3, processing according to the land price in a preset area, and selecting an area with lower rent in the preset area as a third area of the subway junction center; in this embodiment, the present step includes: and carrying out layered calculation on the house price data of each residential district in the preset area through an inverse distance weight interpolation analysis algorithm to obtain the multi-layer house price amount in the preset area, and selecting an area corresponding to the multi-layer house price amount lower than the preset amount as a third area.
Land price is used as an important economic factor for site selection, and the land price of Guangzhou city is difficult to obtain, and correlation analysis shows that the land price of Guangzhou city and the room price have obvious positive correlation. Therefore, the patent uses the room price data of each residential district in Guangzhou city to perform inverse distance weighted interpolation analysis (IDW), which is a commonly used spatial interpolation method, and takes the distance between an interpolation point and a sample as a weight to perform weighted average, and the closer to the interpolation point, the more weight is given to the sample point. The rates can be divided into four levels according to the "Notification about the run of the real estate market in Guangzhou city, Guangzhou, 9.2017": the results are shown in FIG. 4, for example, 13682 cells/sq.m or less, 28023 cells/sq.m or less, 42551 cells/sq.m or more.
S4, performing spatial weighted superposition analysis on the first area, the second area and the third area, and selecting a preliminary site selection point with a subway station accessibility range lower than a preset distance value and a house price rent lower than a preset amount value according to preset ideal human trip time and trip speed;
based on the analysis of the influence factors of the subway junction center, a grid calculator of ArcMap10.2 software is utilized to respectively carry out space weighted superposition analysis on the three addressing factors. And according to the ideal travel time and travel speed of human beings, the accessibility range of the screened subway stations is within 800 meters so as to ensure that the distance between the address selection area of the central temporary storage area of the subway hub and the subway stations is less than 800 meters. Due to the fact that building traffic is convenient near subway stations, the room price is generally high, the mean value of the room price around the subway stations is about 42551 yuan per square meter, the site selection range based on the research is defined in the subway stations and the areas around the subway stations, and the site selection is considered to be carried out in the areas with the room price lower than the mean value of the room price near the subway stations, namely the areas with the room price lower than 42551 yuan per square meter are screened. Finally, the commercial land and the residential land with the traffic accessibility of the subway station within 800 meters and the room price lower than 42551 yuan per square meter are screened out, and the preliminary site selection result is shown in fig. 5.
S5, determining to obtain a preliminary candidate point by comparing the distribution condition of the constructable area around the subway station in the preliminary site selection point;
by comparing the distribution conditions of the constructable areas around the subway stations, 15 subway stations, namely Guangzhou railway stations, longevous roads, arenas, Fenghuang Xincun, Tianping rack, Donghu, Zhongshan eight, Beijing road, Ruyi Fang, Luoxi, Baiyun culture plaza, Dongxiang south, Guest village, university south town and Toho, are finally determined as preliminary candidate points of the subway hub center, as shown in FIG. 6.
And S6, establishing a model with minimized impedance as a target based on the candidate positions of the initial addressing and the prediction result of express delivery demand at the periphery of the subway station, and solving the optimal result of a given number of delivery centers.
And (3) solving by using a Location-allocation model in ArcMap10.2 network analysis, taking 15 preliminary candidate stations as facility points, and selecting all subway stations as demand points. The type of problem selected in this study was "minimizeimpedance", with the goal of maximizing impedance, which is selected as "length (meters)", so that the sum of weighted costs between demand points and facility points is minimized. The factors for solving and selecting are Length and Mint, namely the Length and the running time of the subway line are considered. When "Facilities to Choose" is selected to be 1, that is, the number of subway hub centers set is 1, the result is shown in fig. 7. When "Facilities to Choose" is selected as 2, i.e., two subway hub centers are set, the result is shown in FIG. 8. Under the condition that one subway hub center is arranged, the solved subway hub center is a passenger village station, 93 subway stations are covered, the total number of subway station demand points is 115, and the coverage rate reaches 80.9%; when two subway hub centers are arranged, the solved result is passenger village stations and east lake stations, the number of covered subway stations reaches 108, and the coverage rate reaches 93.9%, which is shown in the following table 1.
TABLE 1 subway hub center solution results
In another embodiment, the express delivery distribution hub center location method based on the subway network further includes: and S7, selecting subway stations with passenger flow volume lower than a preset passenger flow value from the preliminary candidate points as optimization candidate points, and taking the optimization candidate points as facility points.
Considering that the original passenger service function of the subway station is inevitably influenced by the development of the subway delivery service when the passenger flow of the subway station is overlarge, inconvenience is brought to passengers in the subway station, and the result is optimized in order to avoid certain influence on the development of the subway delivery service when the passenger flow is overlarge. According to statistics, the average passenger flow of Guangzhou subway stations is about 60000 passenger times per day, so that the optimized scheme is to screen sites with passenger flow lower than 60000 passenger times from 15 primary candidate sites, and the screened results include 9 sites which are respectively a white cloud culture square, Luoxi, university City, Zhongshan eight, Fenghuang New village, Ruyi Fang, Beijing Lou, east lake and Tianping frame, as shown in FIG. 9.
In another embodiment, after the optimization candidate point is taken as a facility point, the method further includes: and S8, combining the length and the running time of the subway line, calculating the coverage rate and the total demand when the optimization candidate points or the combination of the optimization candidate points are used as the hub center, and selecting the scheme corresponding to the highest value of the coverage rate and the total demand as the hub center.
The optimized 9 subway stations are used as facility points for site selection, the demand points still select 115 subway stations, the Location-Allocation model is solved, and the solving result is shown in fig. 10 and fig. 11. When a subway hub center is set, the solving result is that the number of coverage points of the new phoenix villages is 95, the coverage rate is 82.6%, when the number of the hub centers is two, the address selection result is that the number of coverage points of the new phoenix villages and the new Donghu villages is 110, the coverage rate reaches 95.6%, and compared with the situation before optimization, the coverage rate of the optimized subway station is higher, as shown in the following table 2.
Table 2, optimized subway junction center solution results
The invention provides a new method and a new device for selecting a site of a distribution hub center of express delivery in the same subway city. Firstly, a subway co-city express hub center Location model coupling GIS land suitability evaluation and a Location-Allocation model is provided; secondly, according to the functional characteristics of the subway hub center, comprehensively evaluating the land suitability of the subway hub center from three dimensions of land utilization type, accessibility of subway stations and land price by using various GIS space analysis methods such as Euclidean distance analysis, inverse distance weight difference and the like and combining multisource space-time data such as POIs, AOIs, Internet properties, land utilization and the like, and screening out preliminary candidate stations of the hub center; then establishing a Location-allocation model with the minimized impedance as a target to obtain a final address selection result of the subway hub center; and finally, optimizing the solution result by combining the actual situation of the daily average passenger flow of the Guangzhou subway station.
In order to realize scientific site selection of a subway distribution hub center, the invention carries out the following technical improvements:
1. and providing a basic framework and a theoretical model for selecting the site of the center of the co-city express hub by combining the prediction of express demands at the periphery of a subway network and a subway station and coupling GIS land suitability evaluation and a Location-Allocation model.
2. According to the functional characteristics of temporary storage, allocation and transfer of the subway hub center, the method provides a method for carrying out preliminary site selection analysis on the hub center by comprehensively considering three dimensions of the current land utilization situation, the accessibility of subway stations and the land price, and comprehensively evaluating the land suitability of the hub center by using various GIS space analysis methods such as Euclidean distance analysis, inverse distance weight IDW interpolation and the like.
3. And analyzing enterprise, administrative office and residence information within a certain range around the subway station by using the POI data, thereby predicting the express delivery and distribution demand of each subway station.
4. Based on the candidate position of the initial site selection and the prediction result of express delivery demand at the periphery of the subway station, a Location-Allocation model with the target of minimized impedance is established, and the optimal results of the delivery centers in a given number are solved.
Correspondingly, the embodiment of the invention also provides an express delivery distribution hub center site selection device based on the subway network, which comprises the following components:
the land utilization module is used for processing according to the current land utilization situation in a preset area and selecting residential land and commercial land in the preset area as a first area of the subway junction center;
the distance calculation module is used for processing according to the accessibility of the subway station in a preset area, and selecting an area with a higher accessibility level in the preset area as a second area of the subway hub center;
the land price calculating module is used for processing according to land prices in a preset area and selecting an area with lower rent in the preset area as a third area of the subway junction center;
the preliminary site selection module is used for performing space weighted superposition analysis on the first area, the second area and the third area, and selecting a preliminary site selection point with a subway station accessibility range lower than a preset distance value and a house price rent lower than a preset amount value according to preset ideal human trip time and trip speed;
the candidate site selection module is used for determining and obtaining preliminary candidate points by comparing the distribution conditions of the constructable areas around the subway station in the preliminary site selection points;
and the hub center module is used for establishing a model with minimized impedance as a target based on the candidate positions of the initial site selection and the prediction result of the express delivery demand at the periphery of the subway station, and solving the optimal result of the delivery centers with a given number.
In another embodiment, the express delivery distribution hub center location device based on the subway network further includes: and the optimization candidate module is used for selecting subway stations with passenger flow volume lower than a preset passenger flow value from the preliminary candidate points as optimization candidate points and taking the optimization candidate points as facility points.
In another embodiment, the express delivery distribution hub center location device based on the subway network further includes: and the optimization junction module is used for calculating the coverage rate and the total demand when the optimization candidate points or the combination of the optimization candidate points are used as the junction center by combining the length and the running time of the subway line after the optimization candidate points are used as facility points, and selecting the scheme corresponding to the highest value of the coverage rate and the total demand as the junction center.
The above-mentioned embodiments are provided to further explain the objects, technical solutions and advantages of the present invention in detail, and it should be understood that the above-mentioned embodiments are only examples of the present invention and are not intended to limit the scope of the present invention. It should be understood that any modifications, equivalents, improvements and the like, which come within the spirit and principle of the invention, may occur to those skilled in the art and are intended to be included within the scope of the invention.
Claims (10)
1. An express delivery distribution hub center site selection method based on a subway network is characterized by comprising the following steps:
processing according to the current land utilization situation in a preset area, and selecting residential land and commercial land in the preset area as a first area of a subway junction center;
processing according to the accessibility of the subway station in a preset area, and selecting an area with a higher accessibility level in the preset area as a second area of the subway hub center;
processing according to the land price in a preset area, and selecting an area with lower rent in the preset area as a third area of the subway junction center;
performing spatial weighted superposition analysis on the first area, the second area and the third area, and selecting a preliminary site selection point with a subway station accessibility range lower than a preset distance value and a house price rent lower than a preset amount value according to preset ideal human trip time and trip speed;
determining to obtain a preliminary candidate point by comparing the distribution condition of the constructable area around the subway station in the preliminary site selection point;
and establishing a model with minimized impedance as a target based on the candidate positions of the initial addressing and the prediction result of the express delivery demand at the periphery of the subway station, and solving the optimal result of the delivery centers with a given number.
2. The express delivery distribution hub center site selection method based on the subway network as claimed in claim 1, wherein said processing according to the present land utilization status in the preset area, and selecting residential land and commercial land in the preset area as the first area of the subway hub center comprises:
the method comprises the steps of removing the non-constructable areas in the preset area by utilizing the current land utilization situation and AOI data of the preset area, selecting residential land and commercial land as the areas primarily considered for site selection, converting vector data into raster data, and screening to obtain the first constructable area.
3. The express delivery distribution hub center site selection method based on the subway network as claimed in claim 2, wherein said non-constructable area includes an ecological functional land area, an educational land area and a transportation land area.
4. The express delivery distribution hub center location method based on the subway network as claimed in claim 1, wherein said processing according to the accessibility of the subway stations in the preset area, and selecting the area with higher accessibility level in the preset area as the second area of the subway hub center, comprises:
and performing distance calculation on the accessibility of the subway station in the preset area by using an Euclidean distance analysis method to obtain the radiation radius and the influence distance of the subway station to the surrounding area, and selecting an area which meets a preset distance value from the subway station and the surrounding area as a second area.
5. The express delivery distribution hub center site selection method based on the subway network as claimed in claim 1, wherein said processing according to the land price in the preset area, and selecting the area with lower rent in the preset area as the third area of the subway hub center comprises:
and carrying out layered calculation on the house price data of each residential district in the preset area through an inverse distance weight interpolation analysis algorithm to obtain the multi-layer house price amount in the preset area, and selecting an area corresponding to the multi-layer house price amount lower than the preset amount as a third area.
6. The express delivery distribution hub center site selection method based on the subway network as claimed in claim 1, further comprising: and selecting subway stations with passenger flow volume lower than a preset passenger flow value from the preliminary candidate points as optimization candidate points, and taking the optimization candidate points as facility points.
7. The express delivery distribution hub center site selection method based on the subway network as claimed in claim 6, wherein after said optimization candidate point is taken as a facility point, further comprising: and selecting a scheme corresponding to the highest value of the coverage rate and the total demand as the junction center by calculating the coverage rate and the total demand when each optimization candidate point or the combination of the optimization candidate points is used as the junction center according to the length and the running time of the subway line.
8. The utility model provides an express delivery hub center site selection device based on subway network which characterized in that includes:
the land utilization module is used for processing according to the current land utilization situation in a preset area and selecting residential land and commercial land in the preset area as a first area of the subway junction center;
the distance calculation module is used for processing according to the accessibility of the subway station in a preset area, and selecting an area with a higher accessibility level in the preset area as a second area of the subway hub center;
the land price calculating module is used for processing according to land prices in a preset area and selecting an area with lower rent in the preset area as a third area of the subway junction center;
the preliminary site selection module is used for performing space weighted superposition analysis on the first area, the second area and the third area, and selecting a preliminary site selection point with a subway station accessibility range lower than a preset distance value and a house price rent lower than a preset amount value according to preset ideal human trip time and trip speed;
the candidate site selection module is used for determining and obtaining preliminary candidate points by comparing the distribution conditions of the constructable areas around the subway station in the preliminary site selection points;
and the hub center module is used for establishing a model with minimized impedance as a target based on the candidate positions of the initial site selection and the prediction result of the express delivery demand at the periphery of the subway station, and solving the optimal result of the delivery centers with a given number.
9. The express delivery distribution hub center site selection device based on the subway network as claimed in claim 8, further comprising: and the optimization candidate module is used for selecting subway stations with passenger flow volume lower than a preset passenger flow value from the preliminary candidate points as optimization candidate points and taking the optimization candidate points as facility points.
10. The express delivery distribution hub center addressing device based on the subway network as claimed in claim 9, further comprising: and the optimization junction module is used for calculating the coverage rate and the total demand when the optimization candidate points or the combination of the optimization candidate points are used as the junction center by combining the length and the running time of the subway line after the optimization candidate points are used as facility points, and selecting the scheme corresponding to the highest value of the coverage rate and the total demand as the junction center.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910940642.2A CN110675110A (en) | 2019-09-30 | 2019-09-30 | Express delivery distribution hub center site selection method and device based on subway network |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910940642.2A CN110675110A (en) | 2019-09-30 | 2019-09-30 | Express delivery distribution hub center site selection method and device based on subway network |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110675110A true CN110675110A (en) | 2020-01-10 |
Family
ID=69080614
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910940642.2A Pending CN110675110A (en) | 2019-09-30 | 2019-09-30 | Express delivery distribution hub center site selection method and device based on subway network |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110675110A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112669094A (en) * | 2021-01-29 | 2021-04-16 | 亿景智联(北京)科技有限公司 | Pharmacy site selection method based on space-time big data and machine learning algorithm |
| CN113516367A (en) * | 2021-06-07 | 2021-10-19 | 南宁市橙鹿网络科技有限公司 | Quick delivery method realized by means of public traffic in same city |
| CN114169817A (en) * | 2021-11-18 | 2022-03-11 | 东南大学 | Rural express distribution station site selection method suitable for low-density population |
| CN117196693A (en) * | 2023-09-25 | 2023-12-08 | 西南交通大学 | Logistics demand prediction method for urban underground traffic |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20070016233A (en) * | 2005-08-02 | 2007-02-08 | 황인혁 | Method and system to allocate freight using Global Positioning System and Global Positioning System |
| CN109767091A (en) * | 2018-12-27 | 2019-05-17 | 厦门理工学院 | A kind of Self-service Library spatial arrangement suitability assessment method, device and equipment |
| CN110222959A (en) * | 2019-05-23 | 2019-09-10 | 河南大学 | A kind of urban employment accessibility measuring method and system based on big data |
-
2019
- 2019-09-30 CN CN201910940642.2A patent/CN110675110A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20070016233A (en) * | 2005-08-02 | 2007-02-08 | 황인혁 | Method and system to allocate freight using Global Positioning System and Global Positioning System |
| CN109767091A (en) * | 2018-12-27 | 2019-05-17 | 厦门理工学院 | A kind of Self-service Library spatial arrangement suitability assessment method, device and equipment |
| CN110222959A (en) * | 2019-05-23 | 2019-09-10 | 河南大学 | A kind of urban employment accessibility measuring method and system based on big data |
Non-Patent Citations (5)
| Title |
|---|
| 全国城市规划执业制度管理委员会组织编写: "《城市规划与相关知识》", 31 July 2017, 中国城市出版社 * |
| 王雅琴: "基于轨道运输方式的石家庄城市配送系统研究", 《中国优秀硕士学位论文全文数据库（电子期刊）经济与管理科学辑》 * |
| 肖智、杨剑等编著: "《ArcGIS软件应用·实验指导书》", 31 August 2015, 西南交通大学出版社 * |
| 邵晓莉，刘海等: "房价空间插值方法比较研究—以武汉市建成区为例", 《湖北省地理学会2006优秀学术论文集（地理科学类）》 * |
| 陈绍鹏: "基于GIS的武汉市洪山区微型公共空间选址与优化研究", 《中国中国优秀硕士学位论文全文数据库（电子期刊）工程科技Ⅱ辑》 * |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112669094A (en) * | 2021-01-29 | 2021-04-16 | 亿景智联(北京)科技有限公司 | Pharmacy site selection method based on space-time big data and machine learning algorithm |
| CN112669094B (en) * | 2021-01-29 | 2024-01-26 | 亿景智联(苏州)科技有限公司 | Pharmacy site selection method based on space-time big data and machine learning algorithm |
| CN113516367A (en) * | 2021-06-07 | 2021-10-19 | 南宁市橙鹿网络科技有限公司 | Quick delivery method realized by means of public traffic in same city |
| CN114169817A (en) * | 2021-11-18 | 2022-03-11 | 东南大学 | Rural express distribution station site selection method suitable for low-density population |
| CN114169817B (en) * | 2021-11-18 | 2024-04-19 | 东南大学 | Rural express delivery station site selection method suitable for low-density population |
| CN117196693A (en) * | 2023-09-25 | 2023-12-08 | 西南交通大学 | Logistics demand prediction method for urban underground traffic |
| CN117196693B (en) * | 2023-09-25 | 2024-03-26 | 西南交通大学 | Logistics demand prediction method for urban underground traffic |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110675110A (en) | Express delivery distribution hub center site selection method and device based on subway network | |
| CN102722767B (en) | Electromobile charging and exchanging power station stationing and planning system and method | |
| CN109636137A (en) | Electric automobile charging station planning and distributing method and system based on step analysis | |
| CN107872808B (en) | WLAN station address prediction analysis method and device | |
| CN101807222A (en) | Station-based urban public traffic network optimized configuration method | |
| CN107241743B (en) | Power grid private network layout construction method | |
| CN113112068A (en) | Method and system for addressing and layout of public facilities in villages and small towns | |
| Tian et al. | The effect of regional integration on urban sprawl in urban agglomeration areas: A case study of the Yangtze River Delta, China | |
| CN110197335A (en) | A kind of get-off stop number calculation method based on probability OD distributed model | |
| CN108256969A (en) | A kind of public bicycles lease point dispatcher-controlled territory division methods | |
| CN110414795A (en) | Method is influenced based on the newly-increased high-speed rail hinge accessibility for improving two moved further search methods | |
| Cheng et al. | An AHP-DEA Approach of the bike-sharing spots selection problem in the free-floating bike-sharing system | |
| Han et al. | Evaluating the spatial deprivation of public transportation resources in areas of rapid urbanization: accessibility and social equity | |
| CN111460598A (en) | Bus trunk line network generation method based on machine learning | |
| CN113256964B (en) | City exchange center capacity design method based on node-place model | |
| CN110288125A (en) | It is a kind of based on the commuting method for establishing model of mobile phone signaling data and application | |
| CN103971208A (en) | System and method for classifying construction projects of transmission and transformation project | |
| CN110321399A (en) | The method and apparatus for selecting address | |
| CN112434844B (en) | New opening and extension method of sorting wire net based on convex hull calculation and genetic algorithm | |
| He et al. | The charging station and swapping station site selection with many-objective evolutionary algorithm | |
| CN114579682A (en) | Bus coordination evaluation device and system based on travel data and GIS clustering | |
| CN111429166B (en) | Electric vehicle charging demand spatial distribution prediction method based on maximum contour clustering | |
| CN115619304A (en) | Logistics node site selection planning method based on clustering algorithm | |
| Feihu et al. | Emergency supplies research on crossing points of transport network based on genetic algorithm | |
| CN111062577A (en) | GIS-based substation site selection method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200110 |
|
| RJ01 | Rejection of invention patent application after publication |