Analysis of Tourism Reservation Behavior in Urban Hotspots

With the rapid development of urban tourism, urban hotspot areas have become places that attract a large number of tourists every year. However, the sudden increase in the number of visiting tourists has also brought about many urban problems. Reservation travel has become the main way for tourists to travel, which can make tourists arrive at the attractions more easily and comfortably, and also can avoid traffic congestion and delay. This paper aims to analyze the influencing factors of tourist reservation travel in urban hotspot areas by establishing a binary logit model considering socioeconomic characteristics, travel attributes, and incentives for travel reservation services. And the research results have implications for the diffusion of the travel reservation service for urban tourism hotspots while identifying target user groups based on the established model.

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Publication Details

Published
2024-12-11
DOI
https://doi.org/10.1061/9780784485484.306
Primary Topic
Regional Development and Environment
Type
article
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article

Analysis of Tourism Reservation Behavior in Urban Hotspots

Mingyang Hao, Tianwen Liang, Qi Lin, Jianrong Ma et al.
Regional Development and Environment
article

Analysis of Tourism Reservation Behavior in Urban Hotspots

Mingyang Hao, Tianwen Liang, Qi Lin, Jianrong Ma, Shegang Shao, Ruotian Tang, Dan Wang
article en

Abstract

With the rapid development of urban tourism, urban hotspot areas have become places that attract a large number of tourists every year. However, the sudden increase in the number of visiting tourists has also brought about many urban problems. Reservation travel has become the main way for tourists to travel, which can make tourists arrive at the attractions more easily and comfortably, and also can avoid traffic congestion and delay. This paper aims to analyze the influencing factors of tourist reservation travel in urban hotspot areas by establishing a binary logit model considering socioeconomic characteristics, travel attributes, and incentives for travel reservation services. And the research results have implications for the diffusion of the travel reservation service for urban tourism hotspots while identifying target user groups based on the established model.

Beijing University of Technology (CN)
Decent work and economic growth
Openalex Percentile: Top 63%
Regional Development and Environment
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Analysis of Tourism Reservation Behavior in Urban Hotspots — Mingyang Hao, Tianwen Liang, et al. · (2024) | TGRS Research Map | TGRS