|Table of Contents|

Spatio-temporal characteristics and influencing factors of subway travel considering group differences(PDF)

长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2025年01期
Page:
114-124
Research Field:
交通工程
Publishing date:

Info

Title:
Spatio-temporal characteristics and influencing factors of subway travel considering group differences
Author(s):
CHEN Hong;  LI Chen-guang;  LIU Shuang;  LIU En-ze;  YAO Zhen-xing
(School of Transportation Engineering, Chang'an University, Xi'an 710064, Shaanxi, China)
Keywords:
traffic engineering;  urban traffic;  LightGBM;  group difference;  built environment;  elderly
PACS:
U491.17
DOI:
10.19721/j.cnki.1671-8879.2025.01.010
Abstract:
To analyze the impact of the built environment around metro stations on spatio-temporal travel characteristics for different groups, Xi'an was conducted as an example, mobile signaling data, points of interest(POI)data and land use data were integrated to extract metro ridership for elderly and non-elderly groups, along with four categories of built environment variables.Based on an in-depth analysis of spatio-temporal travel characteristics, the light gradient boosting machine(LightGBM)was applied to explore the feature importance and nonlinear effects of the built environment around metro stations on ridership for different groups.The results show that the LightGBM model outperforms traditional gradient boosting decision tree(GBDT)models and linear regression(LR)models in fitting and predicting travel characteristics.The elderly group exhibits a bimodal distribution during morning and evening peak hours, whereas no distinct peak is observed for the non-elderly group. The travel distance for both groups predominantly ranges between 7 to 20 km, with activity areas mainly located within the third ring road of Xi'an. However, metro stations near popular attractions outside the third ring road attract a significant number of non-elderly passengers.The importance of built environment factors on metro ridership varies between the two groups. Transportation-related features are the most significant factors influencing both groups, with a greater impact on the elderly group compared to the non-elderly group. Residential population density and employment density have a lesser impact on the elderly group than the non-elderly group. The number of medical centers, educational and cultural facilities, companies, and bus stop density are positively correlated with ridership for both groups, showing clear threshold effects. Specifically, the number of medical centers has the most pronounced effect at 58, while educational and cultural facilities have the greatest impact at 48.These findings are crucial for building an age-friendly urban system and provide valuable insights for formulating policies to enhance the mobility of the elderly.6 tabs, 8 figs, 26 refs.

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Last Update: 2025-02-25