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Supervised by Ministry of Industry and Information Technology of The People's Republic of China Sponsored by Harbin Institute of Technology Editor-in-chief Yu Zhou ISSNISSN 1005-9113 CNCN 23-1378/T

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Related citation:Min Fu,Hao Wang,Wei Wang,Sida Luo,De Zhao.Two Network Structure Indicators for Conventional Public Transit[J].Journal of Harbin Institute Of Technology(New Series),2016,23(5):90-96.DOI:10.11916/j.issn.1005-9113.2016.05.013.
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Two Network Structure Indicators for Conventional Public Transit
Author NameAffiliation
Min Fu School of Transportation, Southeast University, Nanjing 210096, China
Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Nanjing 210096, China 
Hao Wang School of Transportation, Southeast University, Nanjing 210096, China
Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Nanjing 210096, China 
Wei Wang School of Transportation, Southeast University, Nanjing 210096, China
Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Nanjing 210096, China 
Sida Luo School of Transportation, Southeast University, Nanjing 210096, China 
De Zhao School of Transportation, Southeast University, Nanjing 210096, China
Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Nanjing 210096, China 
Abstract:
The significance of network structure indicators for the planning and management of conventional public transit is widely acknowledged. In order to improve and enrich the conventional public transit assessment system, two network structure indicators are proposed. Firstly, according to the obvious defects lying in the traditional no-linear coefficient, the realistic no-linear coefficient γRNL, a modified no-linear coefficient indicator, is put forward, which takes into account the effects of barriers in a city. Secondly, to cover the gap of an indicator which can reflect the coverage homogeneity of a transit network, the length dimension LD is proposed on the basis of Fractal Theory. Finally, a case study is applied to verify the validity and practicability of the two indicators in problem diagnosis using regression analysis. The results validate that γRNL can evaluate the detour of bus lines more reasonably than the previous no-linear coefficient because it reflects the layout of bus lines, and LD can represent the rate of change of the network density, adding a new member to the scheme of network structure indicators for public transit.
Key words:  conventional public transit  network structure indicator  realistic no-linear coefficient  length dimension  fractal theory
DOI:10.11916/j.issn.1005-9113.2016.05.013
Clc Number:TP491.1
Fund:

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