Identifying and Segmenting Commuting Behavior Patterns Based on Smart Card Data and Travel Survey Data
Abstract
Understanding commuting patterns could provide effective support for the planning and operation of public transport systems. One-month smart card data and travel behavior survey data in Beijing were integrated to complement the socioeconomic attributes of cardholders. The light gradient boosting machine (LightGBM) was introduced to identify the commuting patterns considering the spatiotemporal regularity of travel behavior. Commuters were...
Paper Details
Title
Identifying and Segmenting Commuting Behavior Patterns Based on Smart Card Data and Travel Survey Data
Published Date
Jun 19, 2020
Journal
Volume
12
Issue
12
Pages
5010 - 5010
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Notes
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