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Article
Publication date: 24 April 2024

Haiyan Song and Hanyuan Zhang

The aim of this paper is to provide a narrative review of previous research on tourism demand modelling and forecasting and potential future developments.

Abstract

Purpose

The aim of this paper is to provide a narrative review of previous research on tourism demand modelling and forecasting and potential future developments.

Design/methodology/approach

A narrative approach is taken in this review of the current body of knowledge.

Findings

Significant methodological advancements in tourism demand modelling and forecasting over the past two decades are identified.

Originality/value

The distinct characteristics of the various methods applied in the field are summarised and a research agenda for future investigations is proposed.

目的

本文旨在对先前关于旅游需求建模和预测的研究进行叙述性回顾并对未来潜在发展进行展望。

设计/方法

本文采用叙述性回顾方法对当前知识体系进行了评论。

研究结果

本文确认了过去二十年旅游需求建模和预测方法论方面的重要进展。

独创性

本文总结了该领域应用的各种方法的独特特征, 并对未来研究提出了建议。

Objetivo

El objetivo de este documento es ofrecer una revisión narrativa de la investigación previa sobre modelización y previsión de la demanda turística y los posibles desarrollos futuros.

Diseño/metodología/enfoque

En esta revisión del marco actual de conocimientos sobre modelización y previsión de la demanda turística y los posibles desarrollos futuros,se adopta un enfoque narrativo.

Resultados

Se identifican avances metodológicos significativos en la modelización y previsión de la demanda turística en las dos últimas décadas.

Originalidad

Se resumen las características propias de los diversos métodos aplicados en este campo y se propone una agenda de investigación para futuros trabajos.

Article
Publication date: 17 July 2023

Haiyan Song, Hongrun Wu and Hanyuan Zhang

This study aims to investigate low-carbon footprint travel choices, considering both destination attributes and climate change perceptions, and examine the impacts of nudging (a…

Abstract

Purpose

This study aims to investigate low-carbon footprint travel choices, considering both destination attributes and climate change perceptions, and examine the impacts of nudging (a communication tool to alter individuals’ choices in a predictable way) on tourists’ preferences for carbon mitigation in destinations.

Design/methodology/approach

A discrete choice experiment questionnaire was administered to a sample of 958 Hong Kong respondents. Hybrid choice modeling was used to examine the respondents’ preferences for destination attributes and to explain preference heterogeneity using tourists’ climate change perceptions. The respondents’ willingness to pay for the destination attributes was also calculated to measure the monetary value of the attributes.

Findings

Destination type, carbon emissions and travel cost had significant effects on tourists’ choices of destination. Nudging increased tourists’ preference for low-carbon footprint choices. Tourists with higher climate change perceptions were more likely than others to select low-carbon destinations with carbon offset projects.

Practical implications

The findings of this study provide an impetus for destination management organizations to support local carbon offset projects, implement policies that mitigate carbon emissions and develop sustainable tourism to fulfill tourists’ demand for low-carbon footprint travel choices. Based on the findings, policymakers could promote sustainable tourism by publishing relevant climate change information on social media.

Originality/value

This study addressed a gap in the literature on tourist travel choice by considering carbon emission-related attributes and climate change perceptions and by confirming the role of nudging in increasing the choice of low-carbon destinations.

Details

International Journal of Contemporary Hospitality Management, vol. 36 no. 5
Type: Research Article
ISSN: 0959-6119

Keywords

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