Chapter
Jul 2, 2019
Spatial and Temporal Distribution Model for Travel Origin-Destination Based on Multi-Source Data
Authors: Jin Guo [email protected], Shaopeng Zhong [email protected], Fan Yang [email protected], Jian Zhang [email protected], and Bin Ran [email protected]Author Affiliations
Publication: CICTP 2019
Abstract
Scientifically grasping the spatial and temporal distribution of road traffic demand is a prerequisite for formulating traffic congestion countermeasures. This paper analyzes the relationship between built environment attributes and travel origin-destination (OD) under the specific spatial structure of the city, and provides guidance for decision-makers to solve traffic congestion problems. Based on multi-source data, the paper uses the Dirichlet-multinomial regression (DMR) model to discover the functional zones and recognize the spatial structure of the city. Based on the obtained spatial structure, the spatial autoregressive (SAR) model is then applied to establish the relationship between the urban built environment attributes and the spatial and temporal distribution of the travel OD. Finally, using the data of the downtown area of Chengdu as an example, the model and method are verified and analyzed.
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© 2019 American Society of Civil Engineers.
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Published online: Jul 2, 2019
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Joint Research Institute on Internet of Mobility, Southeast Univ. and Univ. of Wisconsin–Madison, Nanjing, China; Research Center for Internet of Mobility, Southeast Univ., Si Pai Lou #2, Nanjing 210096, China. E-mail: [email protected]
School of Transportation and Logistics, Dalian Univ. of Technology, Dalian 116024, China. E-mail: [email protected]
Joint Research Institute on Internet of Mobility, Southeast Univ. and Univ. of Wisconsin–Madison, Nanjing, China; Research Center for Internet of Mobility, Southeast Univ., Si Pai Lou #2, Nanjing 210096, China. E-mail: [email protected]
Joint Research Institute on Internet of Mobility, Southeast Univ. and Univ. of Wisconsin–Madison, Nanjing, China; Research Center for Internet of Mobility, Southeast Univ., Si Pai Lou #2, Nanjing 210096, China. E-mail: [email protected]
Joint Research Institute on Internet of Mobility, Southeast Univ. and Univ. of Wisconsin–Madison, Nanjing, China; Research Center for Internet of Mobility, Southeast Univ., Si Pai Lou #2, Nanjing 210096, China. E-mail: [email protected]
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