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.
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Abstract Purpose Overcoming the flaws of current data management conditions in head and neck oncology could enable integrated informatio...
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Vol.83 No.3 from #AlexandrosSfakianakis via Alexandros G.Sfakianakis on Inoreader http://ift.tt/1TkQfWM via IFTTT
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Small size of metastatic lymph nodes with extracapsular spread greatly impacts treatment outcomes in oral squamous cell carcinoma patie...
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Madhavi Bhargava Journal of Family and Community Medicine 2017 24(2):131-131 from #AlexandrosSfakianakis via Alexandros G.Sfakianakis ...
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Publication date: Available online 14 May 2017 Source: Journal of Oral Biosciences Author(s): Hiromi Kimura-Suda, Teppi Ito BackgroundBo...
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In metabolomics, thousands of substances can be detected in a single assay. This capacity motivates the development of metabolomics testing,...
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