A big data approach to understanding pedestrian route choice preferences: Evidence from San Francisco-Reference-Cited by-同舟云学术

A big data approach to understanding pedestrian route choice preferences: Evidence from San Francisco

Published:2021-10 Issue: Volume:25 Page:41-51
ISSN:2214-367X
Container-title:Travel Behaviour and Society
language:en
Short-container-title:Travel Behaviour and Society

Author:

Sevtsuk Andres,Basu Rounaq,Li Xiaojiang,Kalvo Raul

Publisher

Elsevier BV

Subject

Transportation

Reference55 articles.

1. How far, by which route and why? a spatial analysis of pedestrian preference;Agrawal;J. Urban Design,2008

2. Analysis of tourist behaviour based on the tracking data collected using a mobile communication instrument;Asakura;Transport. Res. Part A: Policy Practice,2007

3. An algorithm for the ranking shortest paths;Azevedo;European Journal of Operations Research,1993

4. Discrete choice methods and their applications to short term travel decisions;Ben-Akiva,1999

5. On modelling route choice sets in transportation networks: a synthesis;Bovy;Transport Rev.,2009

Cited by 59 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. The impact of street-scale built environments on urban park visitations: A case study in Wuhan;Applied Geography;2024-10

2. A sidewalk-level urban heat risk assessment framework using pedestrian mobility and urban microclimate modeling;Environment and Planning B: Urban Analytics and City Science;2024-09-08

3. Unraveling the effects of micro-level street environment on dockless bikeshare in Ithaca;Transportation Research Part D: Transport and Environment;2024-07

4. DELTA: Integrating Multimodal Sensing with Micromobility for Enhanced Sidewalk and Pedestrian Route Understanding;Sensors;2024-06-14

5. Day-to-day behaviour for pedestrians in a circle antipode scenario: experiment and simulation;Journal of Statistical Mechanics: Theory and Experiment;2024-06-10