Paper
22 December 2021 Analysis and optimization of public transport system
Lingbo Zhang, Juan Li
Author Affiliations +
Proceedings Volume 12058, Fifth International Conference on Traffic Engineering and Transportation System (ICTETS 2021); 1205803 (2021) https://doi.org/10.1117/12.2619738
Event: 5th International Conference on Traffic Engineering and Transportation System (ICTETS 2021), 2021, Chongqing, China
Abstract
In order to work out the transportation policy that meets the residents' needs, it is necessary to investigate the residents' travel modes, and obtain the residents' choice intentions for various modes of transportation. In this paper, processing the variables such as personal characteristics and travel characteristics of representative samples to establish the selection model of residents' travel, obtain the important influencing factors of residents' travel and analyze their potential relationships. On the basis of this model, the paper further analyzes the controllable factors, puts forward the control direction for traffic planning or traffic policy control, increases the proportion of residents traveling by public transportation, and alleviates the prevailing traffic problems in China at present.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lingbo Zhang and Juan Li "Analysis and optimization of public transport system", Proc. SPIE 12058, Fifth International Conference on Traffic Engineering and Transportation System (ICTETS 2021), 1205803 (22 December 2021); https://doi.org/10.1117/12.2619738
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KEYWORDS
Data modeling

Mathematical modeling

Probability theory

Statistical analysis

Cognitive modeling

Statistical modeling

Factor analysis

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