Bartosz Bursa, Gottfried Tappeiner, Sebastian Vicoli, Felix Mölk, Markus Mailer
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引用次数: 0
Abstract
Mobility accounts for the largest share of CO2 emissions generated by tourism industry. The extent of CO2 resulting from tourists' long-distance travel depends strongly on the transport mode used. To reduce these emissions, destinations should engage in promoting a shift from flying and driving to traveling on rail. This study hypothesizes that the entire mobility chain, that is, long-distance travel and mobility at destination, represents an interconnected bundle of services. Using data from a Discrete Choice Experiment conducted with visitors to a tourist destination in Austrian Alps, we estimated the effects of attributes of long-distance travel by personal vehicle and rail (travel time, travel costs, number of transfers) and effects of attributes of local mobility services offered at the destination (transit frequency, carsharing, mobility hub). The outcomes indicate that local mobility services are highly relevant for transport mode choice of tourists and can increase the market share of rail significantly.
期刊介绍:
International Journal of Tourism Research promotes and enhances research developments in the field of tourism. The journal provides an international platform for debate and dissemination of research findings whilst also facilitating the discussion of new research areas and techniques. IJTR continues to add a vibrant and exciting channel for those interested in tourism and hospitality research developments. The scope of the journal is international and welcomes research that makes original contributions to theories and methodologies. It continues to publish high quality research papers in any area of tourism, including empirical papers on tourism issues. The journal welcomes submissions based upon both primary research and reviews including papers in areas that may not directly be tourism based but concern a topic that is of interest to researchers in the field of tourism, such as economics, marketing, sociology and statistics. All papers are subject to strict double-blind (or triple-blind) peer review by the international research community.