Chapter
Sep 8, 2022
Exploring Travel Behavior of Urban Residents Based on Big Survey Data
Publication: CICTP 2022
ABSTRACT
Understanding travel behavior is conducive to urban planning and traffic management. In a sustainable city, green traffic modes, such as bus, metro, and bike-sharing, are encouraged to reduce greenhouse gas emissions. Recently, metro and bike-sharing have experienced fast development. Urban residents have more travel choices than ever before with the rapid development of urban economies and the acceleration of urbanization. It is imperative to understand residents’ travel behavior. Large-scale travel surveys of residents could provide various information to analyze travel behaviors. In this paper, five common travel modes are selected to analyze the characteristics of residents’ travel choice. An MNL model was constructed based on individual, family, and travel attributes. The prediction accuracy of the model is 71.0%, which indicates that the model is suitable for predicting residents’ travel choice. This study could give help to understand urban residents’ behavior and travel choices, which promotes the development of urban transportation.
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Published online: Sep 8, 2022
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1School of Transportation Engineering, Shandong Jianzhu Univ., Jinan, China. Email: [email protected]
2School of Transportation Engineering, Shandong Jianzhu Univ., Jinan, China. Email: [email protected]
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ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.