Journal: Tourism management

Abbreviation

Tour. manage. (1982)

Publisher

Elsevier

Journal Volumes

ISSN

0261-5177
1879-3193

Description

Filters

2009 - 200912020 - 20262
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Publications 1 - 3 of 3
  • Analyzing travel mobility patterns in city destinations: Implications for destination design
    Item type: Journal Article
    Park, Sangwon; Zu, Jinyan; Xu, Yang; et al. (2023)
    Tourism management
    Understanding the features of travel activities is important in elaborating travel behaviors and segmenting travelers based on the similarity of activity patterns. This research applying mobile big data analytics suggests a novel method to classify travelers by considering the sequences of travel activity with individuals' trajectories. The result revealed five distinct travel types visiting city destinations and demonstrated dynamic travel flow among different mobility types. Recognizing that different types of travel patterns present important information in understanding destinations’ roles (or functions), this study attempts to characterize the functionality dynamics of city destinations based on travel activity types. As a result, the findings of this research provide insights into the demand-driven construct (or flow-based) of destination planning, which is the foundation of smart destination design. In addition, important methodological and practical implications that could be useful for city destination planners/designers are suggested.
  • From impact to action: Enhancing international tourism resilience through counterfactual explanations
    Item type: Journal Article
    Qu , Mingya; Fu , Yujie; Chen , Dongsheng; et al. (2026)
    Tourism management
    COVID-19, as an unexpected global shock, had a profound impact on international tourism and created a unique testing ground for empirical research on external shocks. However, existing studies lack a systematic analysis of the heterogeneous impact of COVID-19 on tourism recovery patterns across countries, providing limited insights into the actionable strategies to enhance recovery. This study quantitatively assesses the impact of COVID-19 on international tourism demand across 53 countries and provides actionable advice for counterfactual scenarios through a three-stage analytical framework. The first stage revealed that resilience varies considerably between countries, with the recovery trajectories falling into three distinct categories: V-, U-, and W-shaped patterns. Conceptualizing resilience as a process involving the resistance, adaptation, and recovery phases, the second stage employs econometric modeling within the framework of regional economic resilience. It identifies key factors significantly influencing the recovery stage. Finally, the third stage employs an interpretable machine learning method, counterfactual explanations, to assess how changes in the important factors might improve recovery outcomes. These analyses provide a comprehensive, data-driven perspective for examining the heterogeneity and mechanisms of international tourism resilience across countries in the aftermath of COVID-19.
  • Destination and Enterprise Management for a Tourism Future
    Item type: Journal Article
    Dwyer, Larry; Edwards, Deborah; Mistilis, Nina; et al. (2009)
    Tourism management
Publications 1 - 3 of 3