TY - GEN
T1 - Understanding additional stopover behaviors of car tourists
T2 - 4th International Conference on Intelligent Transportation Engineering, ICITE 2019
AU - Le, Yiping
AU - Aoyagi, Saizo
AU - Takahashi, Kazuki
N1 - Funding Information:
The authors would like to thank Hachioji division of Central Nippon Expressway Company for providing the data. The authors also express gratitude to JSPS (Japan Society for the Promotion of Science) for the financial support of this study
Funding Information:
ACKNOWLEDGMENT The authors would like to thank Hachioji division of Central Nippon Expressway Company for providing the data. The authors also express gratitude to JSPS (Japan Society for the Promotion of Science) for the financial support of this study.
Publisher Copyright:
© 2019 IEEE.
PY - 2019/9
Y1 - 2019/9
N2 - Car tourists may make some additional stopovers for sightseeing, meal, shopping, or leisure activities which is not originally planned to avoid becoming involved in the traffic congestion occurring on the roads returning home. The objective of this paper is to examine whether this induced stopover behavior exists and to empirically analyze the tendency of additional stopovers by departure time periods for returning home and level of traffic congestions. An analysis of route search data and GPS travel trajectory data collected by mobile car navigation application is conducted. The study results show car tourists tend to have additional stopovers when the departure time for returning home is early, and differences in the tendency of additional stopovers by congestion levels are observed, implying the impact of traffic congestion on additional stopover behaviors to some extent. The study results suggest the possibility of promoting additional stopovers in tourism areas for congestion avoidance by providing predicted near future traffic congestion and surrounding tourism information, which is beneficial to both tourism promotion and traffic congestion mitigation.
AB - Car tourists may make some additional stopovers for sightseeing, meal, shopping, or leisure activities which is not originally planned to avoid becoming involved in the traffic congestion occurring on the roads returning home. The objective of this paper is to examine whether this induced stopover behavior exists and to empirically analyze the tendency of additional stopovers by departure time periods for returning home and level of traffic congestions. An analysis of route search data and GPS travel trajectory data collected by mobile car navigation application is conducted. The study results show car tourists tend to have additional stopovers when the departure time for returning home is early, and differences in the tendency of additional stopovers by congestion levels are observed, implying the impact of traffic congestion on additional stopover behaviors to some extent. The study results suggest the possibility of promoting additional stopovers in tourism areas for congestion avoidance by providing predicted near future traffic congestion and surrounding tourism information, which is beneficial to both tourism promotion and traffic congestion mitigation.
KW - Additional stopover
KW - Car tourists
KW - GPS travle trajectory data
KW - Route search data
KW - Traffic congestion
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U2 - 10.1109/ICITE.2019.8880153
DO - 10.1109/ICITE.2019.8880153
M3 - Conference contribution
AN - SCOPUS:85074907912
T3 - 4th International Conference on Intelligent Transportation Engineering, ICITE 2019
SP - 104
EP - 108
BT - 4th International Conference on Intelligent Transportation Engineering, ICITE 2019
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 5 September 2019 through 7 September 2019
ER -