A data-driven framework for natural feature profile of public transport ridership: Insights from Suzhou and Lianyungang, China-Reference-Cited by-同舟云学术

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A data-driven framework for natural feature profile of public transport ridership: Insights from Suzhou and Lianyungang, China

Published:2024-05 Issue: Volume:183 Page:104049
ISSN:0965-8564
Container-title:Transportation Research Part A: Policy and Practice
language:en
Short-container-title:Transportation Research Part A: Policy and Practice

Author:

Tang Tianli^ORCID,Gu Ziyuan^ORCID,Yang Yuanxuan,Sun Haobo,Chen Siyuan,Chen Yuting

Publisher

Elsevier BV

Reference67 articles.

1. Influence of weather conditions on transit ridership: a statistical study using data from Smartcards;Arana;Transp. Res. Part A Po. Pract.,2014

2. Who’s ditching the bus?;Berrebi;Transp. Res. Part A Pol. Pract.,2020

3. How to get there? A critical assessment of accessibility objectives and indicators in metropolitan transportation plans;Boisjoly;Transp Pol. (oxf),2017

4. SACSIM: an applied activity-based model system with fine-level spatial and temporal resolution;Bradley;J. Choice Model.,2010

5. Urban bus demand forecast at stop level: space syntax and other built environment factors. evidence from Madrid;Carpio-Pinedo;Procedia Soc. Behav. Sci.,2014

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Lane change decision prediction: an efficient BO-XGB modelling approach with SHAP analysis;Transportmetrica A: Transport Science;2024-07-05

2. Investigating the Key Factors Affecting Public Transport Ridership in Developing Countries through Structural Equation Modeling;Sustainability;2024-05-23

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