Understanding Visitors’ Responses to Intelligent Transportation System in a Tourist City with a Mixed Ranked Logit ModelReport as inadecuate




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Journal of Advanced Transportation - Volume 2017 2017, Article ID 8652053, 13 pages - https:-doi.org-10.1155-2017-8652053

Research ArticleDepartment of Civil Engineering, Tsinghua University, Beijing 100084, China

Correspondence should be addressed to Jing Shi

Received 10 November 2016; Revised 22 January 2017; Accepted 6 February 2017; Published 22 February 2017

Academic Editor: Zhi-Chun Li

Copyright © 2017 Yang Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

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.





Author: Yang Liu, Jing Shi, and Meiying Jian

Source: https://www.hindawi.com/



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