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

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

Big data from smartphone applications are enabling travel behavior studies at an unprecedented scale. In this paper, we examine pedestrian route choice preferences in San Francisco, California using a large, anonymized dataset of walking trajectories collected from an activity-based smartphone appli...

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Bibliographic Details
Main Authors: Sevtsuk, Andres, Basu, Rounaq, Li, Xiaojiang, Kalvo, Raul
Other Authors: Massachusetts Institute of Technology. Department of Urban Studies and Planning
Format: Article
Language:English
Published: Elsevier BV 2022
Online Access:https://hdl.handle.net/1721.1/139842.2

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