The influence of the built environment on travel behaviour and the role of intervening variables such as socio-demographics and travel-related attitudes have long been debated in the literature. To date, most empirical studies have applied cross-sectional designs to investigate their bidirectional relationships. However, these designs provide limited evidence for causality. This study represents one of the first attempts to employ a longitudinal design on these relationships. We applied cross lagged panel structural equation models to a two-wave longitudinal dataset to assess the directions and strengths of the relationships between the built environment, travel behaviour and travel-related attitudes. Results show that the residential built environment has a small but significant influence on car use and travel attitudes. In addition, the built environment influenced travel-related attitudes indicating that people tend to adjust their attitudes to their built environment. This provides some support for land use policies that aim to influence travel behaviour.
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This paper examines travel by western migrants who have moved to the Hong Kong or Macau Special Administrative Regions of China. Previous research suggests travel patterns are a form of learned behaviour. New migrants initially exhibit patterns learned from their home countries, but over time their patterns change and reflect more those of residents of their new countries as they learn and adopt new behaviours. This situation was not observed among western migrants. Instead, they exhibited patterns that were internally consistent, regardless of the migrant's origin, but different from those of the local Chinese populace. The paper argues that western migrants, who generally live in a parallel expatriate bubble to those host community, have learned travel patterns from others who also live in that bubble
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This report provides the global community of hospitality professionals with critical insights into emerging trends and developments, with a particular focus on the future of business travel. Business travellers play a pivotal role within the tourism industry, contributing significantly to international travel, GDP, and business revenues.In light of recent disruptions and evolving challenges, this forward-looking study aims not only to reflect on the past but, more importantly, to anticipate future developments and uncertainties in the realm of business travel. By doing so, it offers strategic insights to help hospitality leaders navigate the ever-evolving landscape of the industry.Key findings from the Yearly Outlook include:• Recovery of International Travel: By 2024, international travel arrivals have surpassed 2019 levels by 2%, signalling a full recovery in the sector. In Amsterdam, there was a 13% decrease in business traveller numbers, offset by an increase in the average length of stay from 2.34 to 2.71 days. Notably, more business travellers opted for 3-star accommodations, marking a shift in preferences.• Future of Business Travel: The report outlines a baseline scenario that predicts a sustainable, personalised, and seamless business travel experience by 2035. This future will likely be driven by AI integration, shifts in travel patterns—such as an increase in short-haul trips, longer stays combining business and leisure—and a growing focus on sustainability.• Potential Disruptors: The study also analyses several potential disruptors to these trends. These include socio-political shifts that could reverse sustainability efforts, risks associated with AI-assisted travel, the decline of less attractive business destinations, and the impact of global geopolitical tensions.The Yearly Outlook provides practical recommendations for hospitality professionals and tourism policymakers. These recommendations focus on building resilience, anticipating changes in business travel preferences, leveraging AI and technological advancements, and promoting sustainable practices within the industry.
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Purpose: It has been established that values, beliefs and norms are good predictors of pro-environmental behaviour; however, it is less explored how these constructs can be influenced. The purpose of this paper is to assess whether the COVID-19 pandemic, as a shock event, was a “game changer” or it had limited impacts on deep-rooted travel patterns. Design/methodology/approach: To understand whether the pandemic has influenced people’s value orientations with regards to sustainable travel, the authors have made use of the value–belief–norm (VBN)theory of environmentalism and conducted a large-scale survey in Germany, Italy, France, The Netherlands and UK (N = 1545). Findings: The findings showed that the pandemic caused only temporary change in deep-rooted travel patterns as (self-reported) pre-pandemic behaviour of respondents align with their value orientations and proved to be a good predictor of projected travel behaviour. Based on projected travel behaviour and value orientations, four market segments were identified – Frontrunners, Laggards, Comfortable Crowd and Entitled Stewards. While all segments showed willingness to adapt, the authors found variations in the extent of adaption and in the phases of the customer journey where travellers are likely to make changes. Originality/value: According to our knowledge, using the VBN theory of environmentalism to understand the impact of shock events on deep-rooted travel patterns represents a new perspective. Moreover, to the best of authors’ knowledge, this study is one of the first, written in the midst of the COVID-19 pandemic, which looks at the impact of the health crisis on deep-rooted travel patterns, instead of the commonly studied risk perception.
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To date, most empirical studies have applied cross-sectional designs to investigate the relationship between the built environment (BE) and travel behaviour (TB). Since these studies cannot identify causal influence, the use of designs that provide data on multiple moments in time seems necessary. This article classifies these designs and describes how they can be applied to identify causality in this relationship. We recommend the use of natural experiments to assess the impact of changes in land use/infrastructure and prospective longitudinal designs to assess the impact of residential or job moves. In addition, the role of the BE can be explored by assessing the impact of (1) deliberate TB change experiments and (2) changes in household circumstances across different spatial contexts over time. The use of randomised experimental designs is recommended for the former and prospective longitudinal designs for the latter. The article concludes with an outlook on future research.
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Purpose: This study aims to examine the impact of terrorism on risk perception and travel behaviour of the Dutch market towards Sri Lanka. Design/methodology/approach: The research process involved an online self-administered method created with one of the leading research and web-based survey tools called Qualtrics. The questionnaire was filled in by 328 respondents. Findings: Findings indicate that Sri Lankan is perceived to be a relatively safe destination. However, the likeliness of visiting the country is unlikely. The respondents with past travel experience (PTE) perceive Sri Lanka to be safer than those without PTE and are more likely to revisit. Male respondents have a higher safety perception of Sri Lanka than women. Most of the respondents see Sri Lanka as an attractive destination and would consider travelling there with children. Research limitations/implications: The majority of the respondents are female and aged between 18 to 29 years old. The majority of the respondents’ children were already 19 or older and not accompanying their parents on holiday. This study has managerial implications for Sri Lanka’s tourism board that could work on developing a marketing strategy that focusses on promoting Sri Lanka as a safe destination in combination with all the other unique selling points. Originality/value: To the best of author’s knowledge, no analysis has been so far published with a focus on the impact of terrorism on risk perception and attitudes of the Dutch tourist towards Sri Lanka. The aim of this paper is to close the existing gap in the literature and to provide valuable knowledge on the influence of terrorism on risk perception and attitudes of the Dutch tourists’ travel behaviour towards Sri Lanka as a destination.
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(‘Co’-)Designing for healthy behaviour greatly benefits from integrating insights about individual behaviour and systemic influences. This study reports our experiences in using insights about individual and systemic determinants of behaviour to inform a large co-design project. To do so, we used two design tools that encourage focusing on individual determinants (Behavioural Lenses Approach) and social / systemic aspects of behaviour (Socionas). We performed a qualitative analysis to identify 1) when and how the team applied the design tools, and 2) how the tools supported or obstructed the design process. The results show that both tools had their distinctive uses during the process. Both tools improved the co-design process by deepening the conversations and underpinnings of the prototypes. Using the Behavioural Lenses under the guidance of a behavioural expert proved most beneficial. Furthermore, the Socionas showed the most potential when interacting with stakeholders, i.c. parents and PPTs.
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Travel-related attitudes and dissonance between attitudes and the characteristics of the residential built environment are believed to play an important role in the effectiveness of land use policies that aim to influence travel behaviour. To date, research on the nature and directions of causality of the links between these variables has been hindered by the lack of longitudinal approaches. This paper takes such an approach by exploring how people across different population groups adjust their residential environments and attitudes over time. Two latent class transition models are used to segment a population into consonant and dissonant classes to reveal differences in their adjustment process. Interactions between (1) the distance to railway stations and travel-mode-related attitudes and (2) the distance to shopping centres and the importance of satisfaction with these distances are modelled. The models reveal mixed patterns in consonant and dissonant classes at different distances from these destinations. These patterns remain relatively stable over time. People in more dissonant classes generally do not have a higher probability of switching to more consonant classes. People adjust their built environments as well as their attitudes over time and these processes differ between classes. Implications for policies are discussed.
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