CN105913138A - Automatic city waterfront viewing tour line generation method - Google Patents

Automatic city waterfront viewing tour line generation method Download PDF

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CN105913138A
CN105913138A CN201610203978.7A CN201610203978A CN105913138A CN 105913138 A CN105913138 A CN 105913138A CN 201610203978 A CN201610203978 A CN 201610203978A CN 105913138 A CN105913138 A CN 105913138A
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waterfront
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杨俊宴
吴浩
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Southeast University
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Abstract

The invention discloses an automatic city waterfront viewing tour line generation method. The method comprises steps that 1, a city waterfront three-dimensional space form database is established; 2, a city waterfront handset signaling database is established; 3, city waterfront population movement behavior modes are identified on the basis of handset signaling, and various types of population movement databases are respectively established and are connected with a three-dimensional vector map; 4, a viewing point reachability analysis module is established and is connected with the population movement databases and the three-dimensional vector map; and 5, a city waterfront tour line generation module is established, and city waterfront viewing tour lines are automatically generated. According to the method, on the basis of the handset signaling data changing in real time, the city waterfront population movement behavior modes are identified, the various types of population movement databases are respectively established, reachability of viewing points in a waterfront program is analyzed, the city waterfront viewing tour lines are automatically generated, moreover, the method further facilitates researches on city waterfront population movement and has the guidance effect on waterfront landscape tour line programming and design.

Description

A kind of Urban Waterfront view trip line automatic generation method
Technical field
The invention belongs to Urban Waterfront view trip line design and formulate field, optimum particularly to a kind of view accessibility Urban Waterfront view trip line automatic generation method.
Background technology
The dependence of water front is gradually increased by contemporary cities high-quality life, and the meaning of urban look is also become more by water front Come the biggest.Urban Waterfront, as the key component of composition Urban Public Open Space, is to make city characteristic shape As, promote urban vitality important space, be increasingly subject to concern and the attention of Urban Planner.
At present, the planning of Urban Waterfront view trip line relies on the visual aesthetic standard of designer individual, design techniques mostly Also follow plane geometry the laws of visual perspective more.Because designer is in the difference held on yardstick and personal like, cause planning In accuracy, objectivity and science not enough.Especially these via designer planning tourism trip line often with Real city inhabitant mechanics, action streamline are incongruent.Meanwhile, designer also cannot be according to Urban Waterfront The view trip line that the behavioral pattern design of user matches.In addition, the view trip line design side of Urban Waterfront Case is once decideing, substantially without change, it is impossible to according to the difference of time period, adjusts different types of view and arranges not Service auxiliary facility with quantity.
Therefore, set up one based on visitor's active characteristics itself, optimum as foundation with view accessibility, it is possible to according to The Revitalization of Urban Waterfront view trip line method that time period difference can adjust in time is the most necessary.
Summary of the invention
Goal of the invention: in order to overcome the deficiencies in the prior art, the present invention provides a kind of mobile phone based on real-time change Signaling data, identifies Urban Waterfront crowd activity's behavioral pattern, sets up various people's activity database respectively, to waterfront Scenic outlook accessibility in section planning is analyzed, and automatically generates water front view trip line;And be conducive to Revitalization of Urban Waterfront Waterfront landscape trip line planning and designing are also played the optimum based on view accessibility of directive function by the research of district crowd activity Urban Waterfront view trip line automatic generation method.
Technical scheme: for achieving the above object, the present invention provides a kind of Urban Waterfront view trip line automatic generation method, Comprise the following steps:
Step one: set up Urban Waterfront three-dimensional space shape data base;
Step 2: set up mobile phone signaling data storehouse, Urban Waterfront;
Step 3: based on mobile phone signaling identification Urban Waterfront crowd activity's behavioral pattern, sets up various people movable respectively Data base, and be connected with trivector map;
Step 4: set up scenic outlook approachability analysis module, and be connected with crowd activity data base and trivector map;
Step 5: set up Urban Waterfront trip line generation module, automatically generates water front view trip line.
The present invention identifies Urban Waterfront crowd activity's pattern by the mobile phone signaling data of real-time change, and sets up all kinds of Crowd activity data base, is analyzed the scenic outlook accessibility in riverside area planning, thus automatically generates water front view Trip line.By using the method, it is possible to be conducive to the research to Urban Waterfront crowd activity and waterfront landscape is swum line The effect of guidance is played in planning and designing.So that view trip line in Urban Waterfront can more meet the living habit of people, More can meet actual demand and the hobby of people, more can be welcome.
Wherein, about setting up specifically comprising the following steps that of Urban Waterfront three-dimensional space shape data base in step one
Step 1.1: utilize AutoCAD software to delimit block range boundary line in the Vector Topographic Map of Urban Waterfront, And in the range of each block, block is numbered;
Step 1.2: vector file is converted into dxf form and imports in ArcGIS by unification, sets up Urban Waterfront three-dimensional Spatial shape data base.
Wherein, about setting up specifically comprising the following steps that of mobile phone signaling data storehouse, Urban Waterfront in step 2
Step 2.1: position the longitude of data according to cellphone subscriber and cellphone subscriber is positioned Data Matching to phase by latitude coordinate In the base station cell answered, set up each bar cellphone subscriber and position the membership relation of data and base station cell, the hands after being mated Machine user positions data;
Step 2.2: based on above-mentioned mobile phone location data, with time every other day as ultimate unit, by the coupling defensive position in each moment Machine user position data according to time every other day merge statistics, the overall data research storehouse of every other day when obtaining each;
Step 2.3: use the Thiessen polygon technical method in ArcGIS software, by the cellphone subscriber's quantity in each base station Carry out proportional allocations according to the land area in land used plot, make cellphone subscriber position data and carry out with ground blocks of data Join.
Wherein, step 3 identifies specifically comprising the following steps that of Urban Waterfront crowd activity's behavioral pattern
Step 3.1: with the activity time for standard identification water front crowd behaviour, and define the work of 5:00 to 8:00 in the morning Moving group is morning exercises crowd;The day's activities crowd of 8:00 in morning 19:00 in afternoon is the crowd of strolling about or have a rest;Afternoon, 19:00 was to evening The movable crowd of upper 21:00 is noctivagation crowd;By the movable crowd of 5:00 to 8:00 in point morning be morning exercises crowd, on Afternoon at noon 8:00, the stroll about or have a rest movable crowd of crowd and 19:00 to 21:00 in evening in afternoon of day's activities crowd of 19:00 was Noctivagation crowd records three time periods activity time of Three Groups of Population and scope and the route of activity in more detail, more can Meet range of activity and the personal like of various crowd.
Step 3.2: utilize ArcGIS Platform integration mobile phone to position measured data, utilize spatial analysis instrument by step 3.1 In in each time period Urban Waterfront crowd density be distributed by contour feature;
Step 3.3: use the pooling feature in ArcGIS software that crowd density is carried out assignment process, will be by pooling feature Each plot that the assignment obtained is added in water front by the spatial join function in ArcGIS software, is evaluated Figure layer.
Wherein, step 4 is set up specifically comprising the following steps that of scenic outlook approachability analysis module
Step 4.1: take the geometric center of each scenic outlook plane projection in planning, utilize AutoCAD Software on Drawing each point, Vector file is converted into dxf form and imports Depthmap software by unification;
Step 4.2: utilize AutoCAD Software on Drawing water front road axis, unification that vector file is converted into dxf Form also imports Depthmap software.
Wherein, step 5 is set up specifically comprising the following steps that of Urban Waterfront trip line generation module
Step 5.1: the scenic outlook in all planning is numbered;
Step 5.2: choosing the highest route of crowd density is that water front view swims line;
Step 5.3: use respectively morning exercises, stroll about or have a rest, three time period crowd activity data bases of noctivagation, carry out above-mentioned steps The operation of 5.2, thus obtain three Urban Waterfront view trip lines;
Step 5.4: three Urban Waterfront view trip line intersection are merged, forms city dynamic view trip line;
Step 5.5: utilize the output function of Depthmap software by view swim lane diagram layer and city three-dimensional space shape and people Group's activity database is connected.
Wherein the data base of Urban Waterfront three-dimensional space shape described in step one includes: site coverage, building height, appearance Long-pending rate, ratio of green space, service facility location data, plot character, water front type, vegetation coverage and impervious surface area Than totally 9 kinds of Urban Spatial Morphology figure layers.
Wherein choosing the highest route of crowd density in step 5.2 is specifically comprising the following steps that of water front view trip line
Step 5.2.1: all scenic outlooks of typing 1 ... i ... n;
Step 5.2.2: extract arbitrfary point i in all scenic outlooks of typing;
Step 5.2.3: utilize the global depth of Depthmap computed in software initial point i and choose the some note that global depth is minimum For j;
Step 5.2.4: if the number of j is more than 1, then compares the crowd density in plot, j place, choose j location Block crowd density peak j is connected with an i, and exports trip part of path;If the number of j is not more than 1, then: directly will Point i is connected with a j;Then reject some i and return to step 5.2.2.
Beneficial effect: the present invention compared with prior art has the advantage that
(1), the present invention identifies Urban Waterfront crowd activity's pattern by the mobile phone signaling data of real-time change, and builds Vertical various people's activity database, is analyzed the scenic outlook accessibility in riverside area planning, thus automatically generates waterfront District's view trip line.By using the method, it is possible to be conducive to the research of Urban Waterfront crowd activity and to water front scape See trip line planning and designing and play the effect of guidance.So that view trip line in Urban Waterfront can more meet the life of people Custom, more can meet actual demand and the hobby of people, more can be welcome.
(2), the movable crowd by 5:00 to 8:00 in point morning is morning exercises crowd, the day of 8:00 in morning 19:00 in afternoon Between the stroll about or have a rest movable crowd of crowd and 19:00 to 21:00 in evening in afternoon of movable crowd be three time periods of noctivagation crowd The activity time of more detailed record Three Groups of Population and scope and the route of activity, more can meet the movable model of various crowd Enclose and personal like.
(3) the view trip line design of Urban Waterfront, is changed once decideing and cannot change the status quo, it is possible to according to one The feedback of the section of fixing time, scientifically adjusts different types of view and arranges varying number in design amendment afterwards Service auxiliary facility.
Accompanying drawing explanation
Fig. 1 is the method flow diagram of the present invention;
Fig. 2 is the land used plot ratio figure of the embodiment of the present invention;
Fig. 3 be the embodiment of the present invention certain moment water front crowd density gram in gold schematic diagram;
Fig. 4 is the water front view trip line schematic diagram of the embodiment of the present invention;
Fig. 5 is the flow chart of step 5.2 of the present invention.
Detailed description of the invention
Case and attached is automatically generated below with reference to the Huangpu River, Shanghai west bank view trip line optimum based on view accessibility Figure describes technical scheme in detail, comprises the following steps:
1) Huangpu River, Shanghai two sides and surrounding area three-dimensional space shape data base are set up;
1.1) survey and draw the Huangpu River, Shanghai two sides and surrounding area present situation land used vector graphics obtained according to reality and be correlated with Coordinate data;
1.2) AutoCAD software is utilized to delimit block in the Vector Topographic Map of Huangpu River, Shanghai two sides and surrounding area Range boundary line, is numbered block in the range of each block, and numeral is from the beginning of 01;
1.3) unify vector file is converted into dxf form and imports ArcGIS, set up Huangpu River, Shanghai two sides three-dimensional Spatial shape data base.Urban Spatial Morphology figure layer includes: site coverage, building height, plot ratio, ratio of green space, clothes Business facility location data, plot character, water front type, vegetation coverage and impervious surface area ratio totally 9 kinds of figure layers.
2) Huangpu River, Shanghai two sides and mobile phone signaling data storehouse, surrounding area are set up;
2.1) position the longitude of data according to cellphone subscriber and cellphone subscriber is positioned Data Matching to Shanghai City by latitude coordinate In corresponding base station cell, set up each bar cellphone subscriber and position the membership relation of data and base station cell, after being mated Cellphone subscriber positions data;
2.2) based on above-mentioned two mobile phone location data storehouse, with time every other day as ultimate unit, by the coupling defensive position in each moment Machine user position data according to time every other day merge statistics, obtain the overall data research storehouse of every other day when 9;
2.3) use the Thiessen polygon technical method in ArcGIS software, by the cellphone subscriber's quantity in each base station according to The land area in land used plot carries out proportional allocations, makes cellphone subscriber position data and ground block data matches.
3) based on mobile phone signaling identification Huangpu River, Shanghai two sides crowd activity's behavioral pattern, set up various people respectively and live Dynamic data base, and be connected with trivector map;
3.1) with the activity time for standard identification water front crowd behaviour: movable depending on definition 5:00a.m. to 8:00a.m. Crowd is morning exercises crowd;The day's activities of 8:00a.m. to 19:00p.m. is strolled about or have a rest crowd;19:00p.m. to 21:00p.m. Movable crowd be noctivagation crowd.
3.2) utilize ArcGIS Platform integration mobile phone to position measured data, utilize spatial analysis instrument by each time period inner city City's water front crowd density is the distribution of contour feature;
3.3) use the pooling feature in ArcGIS software that crowd density is carried out assignment process, will be obtained by pooling feature Each plot of being added in water front by the spatial join function in ArcGIS software of assignment, evaluated Figure layer.
4) set up scenic outlook approachability analysis module, be connected with crowd activity data base and water front trivector map;
4.1) take the geometric center of each scenic outlook plane projection in planning, utilize AutoCAD Software on Drawing each point, unified Vector file is converted into dxf form and imports Depthmap software;
4.2) utilize AutoCAD Software on Drawing water front road axis, unification that vector file is converted into dxf form And import Depthmap software.
5) set up Huangpu River, Shanghai two sides view trip line generation module, automatically generate water front view trip line.
5.1) being numbered the scenic outlook in all planning, numeral is from the beginning of 01;
5.2) choosing arbitrfary point i in scenic outlook as initial point, the overall situation utilizing Depthmap computed in software initial point i is deep Degree, chooses the some j that global depth is minimum.When the number of j is more than 1, compare the crowd density in plot, j place, choosing The point taking plot, place crowd high is connected with an i;When the number of j is equal to 1, then directly 2 are connected.Continue with Point j is that initial point carries out aforesaid operations until all scenic outlooks of limit, obtains water front view trip line.
5.3) use respectively morning exercises, stroll about or have a rest, noctivagation crowd's activity database, carry out above-mentioned 5.2) operation, obtain three Bar Huangpu River, Shanghai two sides view trip line.
5.4) three Huangpu River, Shanghai two sides view trip line intersection are merged, form city dynamic view trip line;
5.5) view swim lane diagram layer is lived by the output function utilizing Depthmap software with city three-dimensional space shape and crowd Dynamic data base is connected.
The above is only the preferred embodiment of the present invention, it should be pointed out that: for those skilled in the art For, under the premise without departing from the principles of the invention, it is also possible to make some improvements and modifications, these improvements and modifications are also Should be regarded as protection scope of the present invention.

Claims (8)

1. a Urban Waterfront view trip line automatic generation method, it is characterised in that comprise the following steps:
Step one: set up Urban Waterfront three-dimensional space shape data base;
Step 2: set up mobile phone signaling data storehouse, Urban Waterfront;
Step 3: based on mobile phone signaling identification Urban Waterfront crowd activity's behavioral pattern, sets up various people movable respectively Data base, and be connected with trivector map;
Step 4: set up scenic outlook approachability analysis module, and be connected with crowd activity data base and trivector map;
Step 5: set up Urban Waterfront trip line generation module, automatically generates water front view trip line.
A kind of Urban Waterfront the most according to claim 1 view trip line automatic generation method, it is characterised in that: About setting up specifically comprising the following steps that of Urban Waterfront three-dimensional space shape data base in described step one
Step 1.1: utilize AutoCAD software to delimit block range boundary line in the Vector Topographic Map of Urban Waterfront, And in the range of each block, block is numbered;
Step 1.2: vector file is converted into dxf form and imports in ArcGIS by unification, sets up Urban Waterfront three-dimensional Spatial shape data base.
A kind of Urban Waterfront the most according to claim 1 view trip line automatic generation method, it is characterised in that: A kind of Urban Waterfront according to claim 1 view trip line automatic generation method, it is characterised in that: described step About setting up specifically comprising the following steps that of mobile phone signaling data storehouse, Urban Waterfront in two
Step 2.1: position the longitude of data according to cellphone subscriber and cellphone subscriber is positioned Data Matching to phase by latitude coordinate In the base station cell answered, set up each bar cellphone subscriber and position the membership relation of data and base station cell, the hands after being mated Machine user positions data;
Step 2.2: based on above-mentioned mobile phone location data, with time every other day as ultimate unit, by the coupling defensive position in each moment Machine user position data according to time every other day merge statistics, the overall data research storehouse of every other day when obtaining each;
Step 2.3: use the Thiessen polygon technical method in ArcGIS software, by the cellphone subscriber's quantity in each base station Carry out proportional allocations according to the land area in land used plot, make cellphone subscriber position data and carry out with ground blocks of data Join.
4., according to a kind of Urban Waterfront view trip line automatic generation method one of claims 1 to 3 Suo Shu, it is special Levy and be: described step 3 identifies specifically comprising the following steps that of Urban Waterfront crowd activity's behavioral pattern
Step 3.1: with the activity time for standard identification water front crowd behaviour, and define 5:00's to 8:00 in the morning Movable crowd is morning exercises crowd;The day's activities crowd of 8:00 in morning 19:00 in afternoon strolls about or have a rest crowd;Afternoon 19:00 extremely Evening, the movable crowd of 21:00 was noctivagation crowd;
Step 3.2: utilize ArcGIS Platform integration mobile phone to position measured data, utilize spatial analysis instrument by step 3.1 In in each time period Urban Waterfront crowd density be distributed by contour feature;
Step 3.3: use the pooling feature in ArcGIS software that crowd density is carried out assignment process, will be by pooling feature Each plot that the assignment obtained is added in water front by the spatial join function in ArcGIS software, obtains Evaluate figure layer.
A kind of Urban Waterfront the most according to claim 4 view trip line automatic generation method, it is characterised in that: Described step 4 is set up specifically comprising the following steps that of scenic outlook approachability analysis module
Step 4.1: take the geometric center of each scenic outlook plane projection in planning, utilize AutoCAD Software on Drawing each point, Vector file is converted into dxf form and imports Depthmap software by unification;
Step 4.2: utilize AutoCAD Software on Drawing water front road axis, unification that vector file is converted into dxf Form also imports Depthmap software.
A kind of Urban Waterfront the most according to claim 1 view trip line automatic generation method, it is characterised in that: Described step 5 is set up specifically comprising the following steps that of Urban Waterfront trip line generation module
Step 5.1: the scenic outlook in all planning is numbered;
Step 5.2: choosing the highest route of crowd density is that water front view swims line;
Step 5.3: use respectively morning exercises, stroll about or have a rest, three time period crowd activity data bases of noctivagation, carry out above-mentioned steps The operation of 5.2, thus obtain three Urban Waterfront view trip lines;
Step 5.4: three Urban Waterfront view trip line intersection are merged, forms city dynamic view trip line;
Step 5.5: utilize the output function of Depthmap software by view swim lane diagram layer and city three-dimensional space shape and Crowd activity data base is connected.
A kind of Urban Waterfront the most according to claim 1 view trip line automatic generation method, it is characterised in that: Described Urban Waterfront three-dimensional space shape data base includes: site coverage, building height, plot ratio, ratio of green space, clothes Business facility location data, plot character, water front type, vegetation coverage and impervious surface area ratio totally 9 kinds of city spaces Aspect graph layer.
A kind of Urban Waterfront the most according to claim 6 view trip line automatic generation method, it is characterised in that: Choosing the highest route of crowd density in described step 5.2 is specifically comprising the following steps that of water front view trip line
Step 5.2.1: all scenic outlooks of typing 1 ... i ... n;
Step 5.2.2: extract arbitrfary point i in all scenic outlooks of typing;
Step 5.2.3: utilize the global depth of Depthmap computed in software initial point i and choose the some note that global depth is minimum For j;
Step 5.2.4: if the number of j is more than 1, then compares the crowd density in plot, j place, choose j location Block crowd density peak j is connected with an i, and exports trip part of path;If the number of j is not more than 1, then: directly will Point i is connected with a j;Then reject some i and return to step 5.2.2.
CN201610203978.7A 2016-04-01 2016-04-01 Automatic city waterfront viewing tour line generation method Pending CN105913138A (en)

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CN109446577A (en) * 2018-09-28 2019-03-08 同济大学 WaterfrontLandscape Design method based on numerical simulation hydrological analysis
CN111581754A (en) * 2020-04-13 2020-08-25 华南理工大学 Waterfront scene point network generation method and system, computer equipment and storage medium
CN112434262A (en) * 2020-11-22 2021-03-02 同济大学 Waterfront public space activity influence factor identification method and terminal

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Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105938491A (en) * 2016-04-14 2016-09-14 北京思特奇信息技术股份有限公司 Signalling-based crowd segmentation system and method
CN108647880A (en) * 2018-05-09 2018-10-12 中国地质大学(武汉) A kind of water front space planning Rationality Assessment method
CN109446577A (en) * 2018-09-28 2019-03-08 同济大学 WaterfrontLandscape Design method based on numerical simulation hydrological analysis
CN111581754A (en) * 2020-04-13 2020-08-25 华南理工大学 Waterfront scene point network generation method and system, computer equipment and storage medium
CN111581754B (en) * 2020-04-13 2024-03-12 华南理工大学 Method, system, computer equipment and storage medium for generating waterfront scene point network
CN112434262A (en) * 2020-11-22 2021-03-02 同济大学 Waterfront public space activity influence factor identification method and terminal

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Application publication date: 20160831