Intercity Travel Demand Analysis Model | Zendy

Lu Ming | Zendy; Zhu Hai | Zendy; Luo Xia | Zendy; Lei Lei | Zendy

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Intercity Travel Demand Analysis Model

Author(s) -

Lu Ming,

Zhu Hai,

Luo Xia,

Lei Lei

Publication year - 2014

Publication title -

advances in mechanical engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.318

H-Index - 40

ISSN - 1687-8132

DOI - 10.1155/2014/108180

Subject(s) - multinomial logistic regression , mode (computer interface) , mode choice , nested logit , correctness , demand forecasting , computer science , transport engineering , linkage (software) , travel behavior , operations research , demand characteristics , econometrics , economics , engineering , mathematics , public transport , statistics , biochemistry , chemistry , machine learning , gene , programming language , operating system

It is well known that intercity travel is an important component of travel demand which belongs to short distance corridor travel. The conventional four-step method is no longer suitable for short distance corridor travel demand analysis for the time spent on urban traffic has a great impact on traveler's main mode choice. To solve this problem, the author studied the existing intercity travel demand analysis model, then improved it based on the study, and finally established a combined model of main mode choice and access mode choice. At last, an integrated multilevel nested logit model structure system was built. The model system includes trip generation, destination choice, and mode-route choice based on multinomial logit model, and it achieved linkage and feedback of each part through logsum variable. This model was applied in Shenzhen intercity railway passenger demand forecast in 2010 as a case study. As a result, the forecast results were consistent with the actuality. The model's correctness and feasibility were verified.

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