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Newly-added high-speed rail hub accessibility influence method based on improved two-step mobile search method

A mobile search and accessibility technology, applied in data processing applications, instruments, calculations, etc., can solve the problems of discussing the relationship between high-speed rail hubs and urban residents' accessibility, etc.

Active Publication Date: 2019-11-05
HUAQIAO UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The above studies have promoted the application of accessibility in the evaluation of the benefits of high-speed railway construction, but the research focuses more on the impact of the high-speed rail network on the accessibility of regions and cities along the line, ignoring the fact that the station is the city where the high-speed rail drives, and even promotes the radiation area key to development
Although the current research on the accessibility of high-speed rail has been expanded and optimized in many aspects, the accessibility relationship between high-speed rail hubs and urban residents is rarely explored from the two aspects of supply and demand.

Method used

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  • Newly-added high-speed rail hub accessibility influence method based on improved two-step mobile search method
  • Newly-added high-speed rail hub accessibility influence method based on improved two-step mobile search method
  • Newly-added high-speed rail hub accessibility influence method based on improved two-step mobile search method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0110] Decompose the road network into a road network system based on intersection point elements and adjacent elements, and establish a road network search system including road sides, intersections and turning information, such as Image 6 Show.

[0111] Choose January 1, 2017 to analyze the floating car data, and get the time-varying law of the number of floating cars in one day, as shown in Table 1, find out that the peak time of the tourist day is 19:15-19:30.

[0112] Table 1

[0113]

[0114]

[0115]

[0116] by road s 1 As an example, establish the spatial influence surface range s with a road width distance of 30m m , match the GPS data of the floating car with the road network data during the tourist peak period, connect them according to the spatial position of the two, count and summarize the number of floating cars in the range of their spatial influence area is 1773, and the speed of each GPS data is shown in Table 2 Show.

[0117] Table 2

[0118]...

Embodiment 2

[0140] The standard deviation and average value of the current accessibility of the current city A, city B, and city C are calculated respectively, and the results are shown in Table 9.

[0141] Table 9

[0142]

[0143] The coefficient of variation of the current accessibility of cities A, B, and C is calculated, and the coefficient of variation of the current situation is shown in Table 10.

[0144] Table 10

[0145] City A city ​​B city ​​C Coefficient of Variation CV 现状

0.25 0.58 1.03

[0146] The standard deviation, average value, and coefficient of variation of the three urban planning accessibility after the new high-speed rail hub 3 are calculated, as shown in Table 11.

[0147] Table 11

[0148]

[0149] Calculate the Spearman rank correlation coefficient of the accessibility of the administrative divisions of the current city A, city B, and city C before and after the establishment of the high-speed rail hub, as shown in Table...

Embodiment 3

[0153] Calculate the accessibility change rates of city A, city B, and city C. As shown in Table 13, the accessibility change rates of the three cities are positive, which improves the accessibility of the region.

[0154] Table 13

[0155] City A city ​​B city ​​C Achievable rate of change A rate

65.85％ 30.43％ 107.69％

[0156] According to the actual situation of city A, city B, and city C, set the coefficient of variation parameter, when α 1 = 0, α 2 = 0.1, α 3 When = 1, as shown in Tables 10 and 11, before the addition of high-speed rail hubs, the variation coefficients of city A and city B are moderate accessibility variability, which is in a reasonable range of accessibility distribution, and the variation coefficient of city C is strong. Accessibility variability, the spatial distribution of accessibility is relatively clustered. After the addition of high-speed rail hubs, the coefficients of variation of the three cities are all withi...

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Abstract

The invention relates to a high-speed rail hub accessibility calculation method based on an improved two-step mobile search method, a high-speed rail hub accessibility spatial distribution fairness evaluation method based on a variable coefficient and a Spearman level correlation coefficient, and a newly-added high-speed rail hub accessibility influence method based on the improved two-step mobilesearch method. According to the method, a two-step mobile search method is improved, the traffic cost of facility points and demand points is effectively measured, and in the accessibility analysis process, by improving a search carrier of a spatial action domain, a calculation method of a road traffic condition and attributes of a search radius, analysis better conforms to the actual situation,and the accuracy of accessibility measurement and calculation is improved. According to the method, the influence of the high-speed rail construction on the spatial balance of reachable distribution is analyzed by applying the variable coefficient and the Spearman level correlation coefficient while the reachability is analyzed to be improved, so that residents can enjoy more high-speed rail services and the services can be distributed in a balanced manner in space due to the arrangement of the high-speed rail.

Description

technical field [0001] The present invention relates to technical fields such as urban planning, road traffic planning, geographic information, accessibility analysis, etc., more specifically, relates to a high-speed rail hub accessibility calculation method based on an improved two-step mobile search method, a variation-based coefficient, Spearman's rank correlation coefficient, and a method for evaluating the fairness of the spatial distribution of high-speed rail hub accessibility, and a new high-speed rail hub accessibility impact method based on an improved two-step mobile search method. Background technique [0002] With the continuous acceleration of China's industrialization and urbanization, the pace of construction of regional transportation infrastructure has also been accelerated. As a new mode of transportation, high-speed railway has increasingly become an important mode of transportation for residents with its large capacity, high frequency, fast, convenient a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/30
CPCG06Q10/06393G06Q50/40
Inventor 高悦尔阚小溪王成黄华掌程璟
Owner HUAQIAO UNIVERSITY
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