Travel Intensity Influencing Factors Analysis Model Based on Signaling Data

被引：0
|
作者：
Lei F.-S. [1 ]
机构：
[1] Beijing International Science and Technology Cooperation Base of Urban Transport, Beijing Key Laboratory of Urban Transport Simulation and Decision Making Support, Beijing Transport Institute, Beijing
来源：
Lei, Fang-Shu (leifs@bjtrc.org.cn) | 1600年 / Science Press卷 / 20期
关键词：
Influence factor; Intelligent transportation; Land use; Multiple regression model; Transportation infrastructure; Travel intensity;
D O I：
10.16097/j.cnki.1009-6744.2020.05.008
中图分类号：
学科分类号：
摘要：
This paper investigates the impact factors of urban travel intensity and the corresponding degree of impact. The land use and transportation infrastructure construction factors are considered in the analysis the 17 indicators involved in the analysis include land use mixing index, job-residential mixed ratio entropy index, public transportation stops 500-meter coverage, road network accessibility, so and so forth. Seven indicators with strong correlation with travel intensity were extracted based on correlation coefficients and goodness-of-fit analysis. A travel intensity multiple regression model in the central city of Beijing was developed based on the extracted indicators. Model results show that the work-resident ratio entropy index has the most significant impact on travel intensity. The impact of public transportation stop coverage rate on travel intensity is more obvious than road network density and accessibility. In addition, this paper also proposes a method of the outlier character analyze based on single land use or transportation infrastructure construction index fitting result, which is used to evaluate the balance between infrastructure supply and travel demand for different regions. Copyright © 2020 by Science Press.
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页码：51 / 55and71
页数：5520
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