Understanding Visitors’ Responses to Intelligent Transportation System in a Tourist City with a Mixed Ranked Logit Model
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 quant...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2017/8652053 |
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| _version_ | 1850212092082126848 |
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| author | Yang Liu Jing Shi Meiying Jian |
| author_facet | Yang Liu Jing Shi Meiying Jian |
| author_sort | Yang Liu |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-8b3a5632af9d4c2d9f68cfd7f44f3514 |
| institution | OA Journals |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-8b3a5632af9d4c2d9f68cfd7f44f35142025-08-20T02:09:25ZengWileyJournal of Advanced Transportation0197-67292042-31952017-01-01201710.1155/2017/86520538652053Understanding Visitors’ Responses to Intelligent Transportation System in a Tourist City with a Mixed Ranked Logit ModelYang Liu0Jing Shi1Meiying Jian2Department of Civil Engineering, Tsinghua University, Beijing 100084, ChinaDepartment of Civil Engineering, Tsinghua University, Beijing 100084, ChinaDepartment of Civil Engineering, Tsinghua University, Beijing 100084, ChinaOne 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.http://dx.doi.org/10.1155/2017/8652053 |
| spellingShingle | Yang Liu Jing Shi Meiying Jian Understanding Visitors’ Responses to Intelligent Transportation System in a Tourist City with a Mixed Ranked Logit Model Journal of Advanced Transportation |
| title | Understanding Visitors’ Responses to Intelligent Transportation System in a Tourist City with a Mixed Ranked Logit Model |
| title_full | Understanding Visitors’ Responses to Intelligent Transportation System in a Tourist City with a Mixed Ranked Logit Model |
| title_fullStr | Understanding Visitors’ Responses to Intelligent Transportation System in a Tourist City with a Mixed Ranked Logit Model |
| title_full_unstemmed | Understanding Visitors’ Responses to Intelligent Transportation System in a Tourist City with a Mixed Ranked Logit Model |
| title_short | Understanding Visitors’ Responses to Intelligent Transportation System in a Tourist City with a Mixed Ranked Logit Model |
| title_sort | understanding visitors responses to intelligent transportation system in a tourist city with a mixed ranked logit model |
| url | http://dx.doi.org/10.1155/2017/8652053 |
| work_keys_str_mv | AT yangliu understandingvisitorsresponsestointelligenttransportationsysteminatouristcitywithamixedrankedlogitmodel AT jingshi understandingvisitorsresponsestointelligenttransportationsysteminatouristcitywithamixedrankedlogitmodel AT meiyingjian understandingvisitorsresponsestointelligenttransportationsysteminatouristcitywithamixedrankedlogitmodel |