Ridership Prediction of Urban Rail Transit Stations Based on AFC and POI Data-Reference-Cited by-同舟云学术

Ridership Prediction of Urban Rail Transit Stations Based on AFC and POI Data

Published:2023-09 Issue:9 Volume:149 Page:
ISSN:2473-2907
Container-title:Journal of Transportation Engineering, Part A: Systems
language:en
Short-container-title:J. Transp. Eng., Part A: Systems

Author:

Zhu Zhenjun¹,Zhang Yong²,Qiu Shucheng³,Zhao Yunpeng²,Ma Jianxiao⁴,He Zhanpeng²

Affiliation:

1. Associate Professor, College of Automobile and Traffic Engineering, Nanjing Forestry Univ., Nanjing 210037, China (corresponding author).

2. Graduate Student, College of Automobile and Traffic Engineering, Nanjing Forestry Univ., Nanjing 210037, China.

3. Assistant Engineer, China Design Group Co., No. 9, Ziyun Ave., Qinhuai District, Nanjing 210014, China.

4. Professor, College of Automobile and Traffic Engineering, Nanjing Forestry Univ., Nanjing 210037, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JTEPBS.TEENG-7808

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4. How does the station-area built environment influence Metrorail ridership? Using gradient boosting decision trees to identify non-linear thresholds

5. Spatiotemporal exploration of the non-linear impacts of accessibility on metro ridership;Du Q.;J. Transp. Geogr.,2022

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