Modeling Tourists’ Departure Time considering the Influence of Multisource Traffic Information

The development of tourism brings economic benefits as well as additional pressure on the urban traffic system. For example, the travel time of tourists coincides with the rush hour of urban residents’ daily commuting. Limited urban traffic resources cannot meet the travel needs of tourists and urba...

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Autores principales:	Shijun Yu, Siyuan Zhang, Shejun Deng, Tao Ji, Peng Zhou, Lang Peng
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi-Wiley 2021
Materias:	Transportation engineering TA1001-1280 Transportation and communications HE1-9990
Acceso en línea:	https://doaj.org/article/5635a0f8c1a547bc801978f134d8aafb
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id	oai:doaj.org-article:5635a0f8c1a547bc801978f134d8aafb
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spelling	oai:doaj.org-article:5635a0f8c1a547bc801978f134d8aafb2021-11-08T02:35:28ZModeling Tourists’ Departure Time considering the Influence of Multisource Traffic Information2042-319510.1155/2021/1422381https://doaj.org/article/5635a0f8c1a547bc801978f134d8aafb2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/1422381https://doaj.org/toc/2042-3195The development of tourism brings economic benefits as well as additional pressure on the urban traffic system. For example, the travel time of tourists coincides with the rush hour of urban residents’ daily commuting. Limited urban traffic resources cannot meet the travel needs of tourists and urban residents at the same time, resulting in traffic congestion and low travel efficiency. Now, with the development of intelligent technology, tourists can obtain real-time information about transportation systems through various channels and adjust their travel behavior accordingly. This study shows tourists’ travel behavior based on a survey conducted to the tourists in Yangzhou city. 1500-interview data are analyzed, and a Multinomial Logit Model (MNL) was employed to establish the probability prediction model of tourists’ departure time choice. The results presented that sync traffic information and some other tourism-related factors determine the choice of tourists’ departure time. These factors distinguish the travel behavior of tourists from the daily travel behavior of urban residents. This study can provide suggestions for the urban tourism management department to formulate more targeted and efficient policies while creating a more comfortable tourism environment for tourists.Shijun YuSiyuan ZhangShejun DengTao JiPeng ZhouLang PengHindawi-WileyarticleTransportation engineeringTA1001-1280Transportation and communicationsHE1-9990ENJournal of Advanced Transportation, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Transportation engineering TA1001-1280 Transportation and communications HE1-9990
spellingShingle	Transportation engineering TA1001-1280 Transportation and communications HE1-9990 Shijun Yu Siyuan Zhang Shejun Deng Tao Ji Peng Zhou Lang Peng Modeling Tourists’ Departure Time considering the Influence of Multisource Traffic Information
description	The development of tourism brings economic benefits as well as additional pressure on the urban traffic system. For example, the travel time of tourists coincides with the rush hour of urban residents’ daily commuting. Limited urban traffic resources cannot meet the travel needs of tourists and urban residents at the same time, resulting in traffic congestion and low travel efficiency. Now, with the development of intelligent technology, tourists can obtain real-time information about transportation systems through various channels and adjust their travel behavior accordingly. This study shows tourists’ travel behavior based on a survey conducted to the tourists in Yangzhou city. 1500-interview data are analyzed, and a Multinomial Logit Model (MNL) was employed to establish the probability prediction model of tourists’ departure time choice. The results presented that sync traffic information and some other tourism-related factors determine the choice of tourists’ departure time. These factors distinguish the travel behavior of tourists from the daily travel behavior of urban residents. This study can provide suggestions for the urban tourism management department to formulate more targeted and efficient policies while creating a more comfortable tourism environment for tourists.
format	article
author	Shijun Yu Siyuan Zhang Shejun Deng Tao Ji Peng Zhou Lang Peng
author_facet	Shijun Yu Siyuan Zhang Shejun Deng Tao Ji Peng Zhou Lang Peng
author_sort	Shijun Yu
title	Modeling Tourists’ Departure Time considering the Influence of Multisource Traffic Information
title_short	Modeling Tourists’ Departure Time considering the Influence of Multisource Traffic Information
title_full	Modeling Tourists’ Departure Time considering the Influence of Multisource Traffic Information
title_fullStr	Modeling Tourists’ Departure Time considering the Influence of Multisource Traffic Information
title_full_unstemmed	Modeling Tourists’ Departure Time considering the Influence of Multisource Traffic Information
title_sort	modeling tourists’ departure time considering the influence of multisource traffic information
publisher	Hindawi-Wiley
publishDate	2021
url	https://doaj.org/article/5635a0f8c1a547bc801978f134d8aafb
work_keys_str_mv	AT shijunyu modelingtouristsdeparturetimeconsideringtheinfluenceofmultisourcetrafficinformation AT siyuanzhang modelingtouristsdeparturetimeconsideringtheinfluenceofmultisourcetrafficinformation AT shejundeng modelingtouristsdeparturetimeconsideringtheinfluenceofmultisourcetrafficinformation AT taoji modelingtouristsdeparturetimeconsideringtheinfluenceofmultisourcetrafficinformation AT pengzhou modelingtouristsdeparturetimeconsideringtheinfluenceofmultisourcetrafficinformation AT langpeng modelingtouristsdeparturetimeconsideringtheinfluenceofmultisourcetrafficinformation
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Modeling Tourists’ Departure Time considering the Influence of Multisource Traffic Information

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