It is one of hottest topics in Vietnam whether to construct a High Speed Rail (HSR) system or not in near future. To analyze the impacts of introducing the HSR on the intercity travel behavior, this research develops an integrated intercity demand forecasting model to represent trip generation and frequency, destination choice and travel mode choice behavior. For this purpose, a comprehensive questionnaire survey with both Revealed Preference (RP) information (an inter-city trip diary) and Stated Preference (SP) information was conducted in Hanoi in 2011. In the SP part, not only HSR, but also Low Cost Carrier is included in the choice set, together with other existing inter-city travel modes. To make full use of the advantages of each type of data and to overcome their disadvantages, RP and SP data are combined to describe the destination choice and mode choice behavior, while trip generation and frequency are represented by using the RP data. The model estimation results show the inter-relationship between trip generation and frequency, destination choice and travel mode choice, and confirm that those components should not dealt with separately.
[1]
Enjian Yao,et al.
A study of on integrated intercity travel demand model
,
2005
.
[2]
Chandra R. Bhat,et al.
A Self Instructing Course in Mode Choice Modeling: Multinomial and Nested Logit Models
,
2006
.
[3]
T. Morikawa.
Correcting state dependence and serial correlation in the RP/SP combined estimation method
,
1994
.
[4]
Frank S. Koppelman.
MULTIDIMENSIONAL MODEL SYSTEM FOR INTERCITY TRAVEL CHOICE BEHAVIOR
,
1989
.
[5]
Moshe Ben-Akiva,et al.
Estimation of switching models from revealed preferences and stated intentions
,
1990
.
[6]
Hun-Koo Ha,et al.
Analysis of the impact of high-speed railroad service on air transport demand
,
2006
.
[7]
Sophie Masson,et al.
Can the high speed rail reinforce tourism attractiveness? The case of the high speed rail between Perpignan (France) and Barcelona (Spain)
,
2009
.
[8]
M. Ben-Akiva,et al.
Combining revealed and stated preferences data
,
1994
.