Who Walks the Walk and Talks the Talk? Understanding What Influences Sustainability Behaviour in Business and Leisure Travellers

While there is considerable research into what drives tourists to travel sustainably, little has been done to examine business travellers and how they differ from leisure travellers. The purpose of this paper is to fill this gap by looking to understand these differences and what drives them. Specifically, this paper looked to understand the influence that demographics, travel characteristics, and everyday behaviour (pro-ecological actions, frugal consumption patterns, and altruistic behaviours) have on sustainable travel behaviour, and if these influences held true for both business and leisure travellers. To facilitate this investigation, a quantitative study of 869 Canadian travellers in March of 2020 was undertaken. This research found that demographics and travel characteristics to contribute to the prediction of sustainable travel behaviour, but the greatest prediction power came from everyday behaviour. Beyond confirming that everyday behaviour is still the greatest indicator of sustainable travel domestically or abroad, this research found that this influence does not change whether the travel is for business or leisure.

A value chain perspective of the new normal travel behaviour: A case study of Indonesian millennials

The COVID-19 pandemic is utterly reshaping the travelling industry. Accordingly, the tourism supply chain is presented with a tremendous challenge for adjusting towards new trends in travel, which stem from changes in tourist behaviours. This paper examines the contemporary millennial behavioural preferences within a tourism value chain perspective, a theme that is largely overlooked in literature. In carrying out the agenda, we employed a multi-attribute decision-making approach in PROMETHEE II, one which is new to the study of tourists’ behaviour. A sample of 316 Indonesian millennials who conducted domestic travel post–COVID-19 outbreak participated in the survey. Research results highlighted imagery user generated content (UGC), direct information from close relatives, accommodation services, self-catered experience and nature-based attractions to mostly resonate with the millennial traveller. In light of the results, we presented managerial implications that shed light for adjustments in the tourism value chain. This study contributes to extend the knowledge of millennials travelling behaviour from an alternative standpoint.

Social Media in Sustainable Tourism Recovery

In the light of the COVID-19 pandemic, it is crucial to manage tourist destinations to allow the recovery of tourism on the one hand and reduce its negative impact on the environment and the local community on the other. Information provided via social media (SM) by both residents and tourists can help restart tourism. This paper identifies ways of sharing travel experiences by tourists on social media. The research was conducted in Poland on a sample of 271 respondents from each generation using questionnaires. Results showed that the way tourists use SM during and after their trip differs by generation and gender what could be used in promoting responsible behaviour for sustainable tourism. Differences between generations can be observed in behaviours such as ongoing planning the trip, obtaining information about the place to stay, keeping a photo album for friends, and writing reviews. Moreover, more often than men, women use SM to obtain information about the place of stay and share their impressions of the trip by sending MMS or emails. Tracking tourists’ travel behaviour on social media will allow city managers to gather information and respond to their needs and expectations and ensure effective urban management and city promotion.

What Kind of Travellers Are Using Carsharing in Beijing? A Study Based on Selective Ensemble Learning

As a new urban travel mode, carsharing is significantly different from private cars, buses and other travel modes. Therefore, clarifying the typical characteristics of carsharing, such as individual users’ attributes, travel environment and travel behaviour, is conducive to accurately grasping the development of carsharing. In this study, a selective ensemble learning model is established to analyse typical travel characteristics of carsharing. Firstly, personal characteristics, environmental characteristics and behavioural characteristics were obtained through integrating order data, global positioning system data and station information. Then, based on a consolidated view of carsharing, different types of carsharing travel characteristics were distinguished using selective ensemble learning. Lastly, all kinds of carsharing travel are described in detail. It was identified through this research that carsharing travel can be divided into four kinds: long distance for leisure and entertainment, medium and short distances for business and commuting, a mixed category of medium and short distances for business and residence, and a mixed category of long distance for business and residence. This study can provide a theoretical reference and practical basis for precise planning and design and the scientific operation of carsharing.

Use of Traffic Simulation to Analyze the Changes in City Mobility During the COVID-19 Pandemic

It seems that the COVID-19 pandemic, which started in December 2019, will have longer and more profound consequences on our lives than initially foreseen. Among the most obvious are everyday decisions about the mode of transport. From related research, it can be seen that the most affected transport mode is public transport, which had the greatest decline. The reason for lesser use of public transport is in complete closure of public transport in some parts of the world. However, where this measure has not been applied, the reason for the reduction is people's fear of infection when using public transport or any shared modes of transportation. The fear stems from the fact that the COVID-19 virus is spreading extremely fast in densely populated rooms. All these changes are affecting the changes in city mobility. Related research shows a decrease of mobility in general and an increase in the use of individual modes of transportation. Distinct changes can be observed in different environments as compared to previous travel behaviour.