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Analysing Urban Tourism Accessibility Using Real-Time Travel Data: A Case Study in Nanjing, China
Sustainability ; 14(19):12122, 2022.
Article Dans Anglais | ProQuest Central | ID: covidwho-2066383
ABSTRACT
This study aimed to evaluate the spatial accessibility of tourism attractions in the urban destination city. An analytical framework for assessing urban tourism accessibility at different spatial scales was proposed to provide references on the interaction of urban transport and tourism systems. In addition to the travel time-based measure, a modified gravity model integrating the tourism destination attractiveness, urban transport system characteristics, and tourist demand distribution was developed to evaluate tourism accessibility in this study. Real-time travel data obtained from the Web Maps service were used to take the actual road network operation conditions into consideration and improve the accuracy of estimation results. Taking Nanjing as an example, the analysis results revealed the spatial heterogeneity of tourism accessibility and inequality in tourism resource availability at different levels. Road transport service improvement plays a dominant role in increasing tourism accessibility in areas with insufficient tourism resources, such as the outskirts of the destination city. As for areas with abundant attractions, authorities could pay attention to destination attractiveness construction and demand management in addition to the organization and management of road network operations around attractions during holidays. The results of this study provide a potentially valuable source of information for urban tourism destination management and transport management departments.
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Texte intégral: Disponible Collection: Bases de données des oragnisations internationales Base de données: ProQuest Central Type d'étude: Rapport de cas langue: Anglais Revue: Sustainability Année: 2022 Type de document: Article

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Texte intégral: Disponible Collection: Bases de données des oragnisations internationales Base de données: ProQuest Central Type d'étude: Rapport de cas langue: Anglais Revue: Sustainability Année: 2022 Type de document: Article