Understanding Visitors’ Responses to Intelligent Transportation System in a Tourist City with a Mixed Ranked Logit Model
Joint Authors
Shi, Jing
Liu, Yang
Jian, Meiying
Source
Journal of Advanced Transportation
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-02-22
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
One important function of Intelligent Transportation System (ITS) applied in tourist cities is to improve visitors’ mobility by releasing real-time transportation information and then shifting tourists from individual vehicles to intelligent public transit.
The objective of this research is to quantify visitors’ psychological and behavioral responses to tourism-related ITS.
Designed with a Mixed Ranked Logit Model (MRLM) with random coefficients that was capable of evaluating potential effects from information uncertainty and other relevant factors on tourists’ transport choices, an on-site and a subsequent web-based stated preference survey were conducted in a representative tourist city (Chengde, China).
Simulated maximum-likelihood procedure was used to estimate random coefficients.
Results indicate that tourists generally perceive longer travel time and longer wait time if real-time information is not available.
ITS information is able to reduce tourists’ perceived uncertainty and stimulating transport modal shifts.
This novel MRLM contributes a new derivation model to logit model family and for the first time proposes an applicable methodology to assess useful features of ITS for tourists.
American Psychological Association (APA)
Liu, Yang& Shi, Jing& Jian, Meiying. 2017. Understanding Visitors’ Responses to Intelligent Transportation System in a Tourist City with a Mixed Ranked Logit Model. Journal of Advanced Transportation،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1171062
Modern Language Association (MLA)
Liu, Yang…[et al.]. Understanding Visitors’ Responses to Intelligent Transportation System in a Tourist City with a Mixed Ranked Logit Model. Journal of Advanced Transportation No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1171062
American Medical Association (AMA)
Liu, Yang& Shi, Jing& Jian, Meiying. Understanding Visitors’ Responses to Intelligent Transportation System in a Tourist City with a Mixed Ranked Logit Model. Journal of Advanced Transportation. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1171062
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1171062