2018arXiv (Cornell University)Open access

Influence of introducing high speed railways on intercity travel\n behavior in Vietnam

Tho V. Le, Junyi Zhang, Makoto Chikaraishi, Akimasa Fujiwara

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Abstract

It is one of hottest topics in Vietnam whether to construct a High Speed Rail\n(HSR) system or not in near future. To analyze the impacts of introducing the\nHSR on the intercity travel behavior, this research develops an integrated\nintercity demand forecasting model to represent trip generation and frequency,\ndestination choice and travel mode choice behavior. For this purpose, a\ncomprehensive questionnaire survey with both Revealed Preference (RP)\ninformation (an inter-city trip diary) and Stated Preference (SP) information\nwas conducted in Hanoi in 2011. In the SP part, not only HSR, but also Low Cost\nCarrier is included in the choice set, together with other existing inter-city\ntravel modes. To make full use of the advantages of each type of data and to\novercome their disadvantages, RP and SP data are combined to describe the\ndestination choice and mode choice behavior, while trip generation and\nfrequency are represented by using the RP data. The model estimation results\nshow the inter-relationship between trip generation and frequency, destination\nchoice and travel mode choice, and confirm that those components should not\ndealt with separately.\n

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It is one of hottest topics in Vietnam whether to construct a High Speed Rail\n(HSR) system or not in near future. To analyze the impacts of introducing the\nHSR on the intercity travel behavior, this research develops an integrated\nintercity demand forecasting model to represent trip generation and frequency,\ndestination choice and travel mode choice behavior. For this purpose, a\ncomprehensive questionnaire survey with both Revealed Preference (RP)\ninformation (an inter-city trip diary) and Stated Preference (SP) information\nwas conducted in Hanoi in 2011. In the SP part, not only HSR, but also Low Cost\nCarrier is included in the choice set, together with other existing inter-city\ntravel modes. To make full use of the advantages of each type of data and to\novercome their disadvantages, RP and SP data are combined to describe the\ndestination choice and mode choice behavior, while trip generation and\nfrequency are represented by using the RP data. The model estimation results\nshow the inter-relationship between trip generation and frequency, destination\nchoice and travel mode choice, and confirm that those components should not\ndealt with separately.\n

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Available abstract

It is one of hottest topics in Vietnam whether to construct a High Speed Rail\n(HSR) system or not in near future. To analyze the impacts of introducing the\nHSR on the intercity travel behavior, this research develops an integrated\nintercity demand forecasting model to represent trip generation and frequency,\ndestination choice and travel mode choice behavior. For this purpose, a\ncomprehensive questionnaire survey with both Revealed Preference (RP)\ninformation (an inter-city trip diary) and Stated Preference (SP) information\nwas conducted in Hanoi in 2011. In the SP part, not only HSR, but also Low Cost\nCarrier is included in the choice set, together with other existing inter-city\ntravel modes. To make full use of the advantages of each type of data and to\novercome their disadvantages, RP and SP data are combined to describe the\ndestination choice and mode choice behavior, while trip generation and\nfrequency are represented by using the RP data. The model estimation results\nshow the inter-relationship between trip generation and frequency, destination\nchoice and travel mode choice, and confirm that those components should not\ndealt with separately.\n

Key concepts: Revealed preference, Preference, Mode choice, Travel behavior, Mode (computer interface), Trip generation, Transport engineering, Set (abstract data type)

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