City employment accessibility measuring and calculating method and system based on big data

A technology of accessibility and big data, applied in the field of accessibility, it can solve the problems of data consumption of manpower and material resources, inaccurate analysis results, difficulty in obtaining data, etc., so as to achieve the effect of comprehensive and objective measurement results and avoid the lack of census data.

Pending Publication Date: 2019-09-10
HENAN UNIVERSITY
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  • Abstract
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Problems solved by technology

[0005] The technical problem to be solved by the present invention is: the present invention is used to solve the problems that the existing employment accessibility analysi

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  • City employment accessibility measuring and calculating method and system based on big data
  • City employment accessibility measuring and calculating method and system based on big data
  • City employment accessibility measuring and calculating method and system based on big data

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Embodiment Construction

[0063] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

[0064] The technical solution of the present application will be described in detail below with reference to the accompanying drawings and embodiments.

[0065] Employment accessibility, as one of the indicators to measure a city's job-housing balance, refers to the convenience of reaching potential employment opportunities from a certain place within a city through a specific mode of travel.

[0066] Example of accessibility measurement method:

[0067] like figure 1 As shown, the urban employment accessibility measurement method provided by the present invention is as follows:

[0068] (1) Obtain the latest urban planning land use status map and traffic planning map of the studied city, and extract area data of residential land types and linear data of traffic network respectively.

[0069] (2) Conver...

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Abstract

The invention relates to a city employment accessibility measuring and calculating method based on big data. The city employment accessibility measuring and calculating method comprises the followingsteps of (1) extracting the planar data and the traffic network linear data of a residential land type; (2) performing the visualization processing to obtain the number of the residential blocks; (3)collecting the employment position interest point data of the studied city, and performing coordinate offset correction to obtain the employment position spatial position data; (4) identifying an employment post interest point accumulation area in the to-be-studied area; (5) acquiring the shortest commuting time between the employment center and the mass center of the residential block; and (6) establishing a Shen supply and demand potential energy model, calculating the employment accessibility index values of the residential blocks, and analyzing the employment accessibility of the residential blocks. According to the present invention, the data acquisition accuracy is high, the analysis result is objective and comprehensive, and the problems that in the prior art, the acquisition of reachability analysis data is difficult, the accuracy is low, the manpower and the material resources are consumed, and the analysis result is not objective and comprehensive enough, are solved.

Description

technical field [0001] This application belongs to the technical field of accessibility, and in particular relates to a method and system for calculating urban employment accessibility based on big data. Background technique [0002] The disintegration of the traditional unit system and the advancement of rapid urbanization have gradually disintegrated the close spatial connection between the workplace and the residence, further prolonging the commuting distance and time, and resulting in an imbalance between jobs and residences. Employment accessibility, as one of the indicators to measure a city's job-housing balance, refers to the convenience of reaching potential employment opportunities from a certain place within a city through a specific mode of travel. The improvement of employment accessibility will reduce the use of private cars, thereby reducing energy consumption and realizing urban green development; in addition, it is also related to social equity issues. Due t...

Claims

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Application Information

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IPC IPC(8): G06Q10/06
CPCG06Q10/063Y02A30/60
Inventor 于燕张丽君郑智成
Owner HENAN UNIVERSITY
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