One of the most important characteristics of smart cycling is connectivity, which allows the generation of considerable amounts of mobility data that, in turn, may support the decision-making of the different members of the specific two-wheeler urban mobility (2WUM) ecosystem, encapsulated within the larger smart city ecosystem. Smart urban mobility, particularly cycling, is seen as playing an important role, not only in making cities smarter but also more sustainable. Since we statistically found a linkage between the two choices, from a destination management perspective, our results support the sustainability claim for policies affecting them simultaneously. Notably, using public transportation is more likely for longer daily trips by bike, for low-cost tourists lodging in B&Bs, and for those having a higher sensitivity to bike-related services. The odds of visiting cities are positively affected by travel features, e.g., picking foreign countries, travel groups, the length of stays, the availability of commercial and bike recovery services, but also negatively by road traffic.
By using 858 observations from an on-line survey on bike tourism in 2020 in Italy, we develop a bivariate probit model, considering socio-demographics, bike-related factors, travel characteristics, and the evaluation of cycling and accommodation features at destination.
In this paper we study the bike tourists' choice of visiting urban places and of using greener transport means, such as public transportation. Yet, when considering cycling tourists' intra-destination trips by motorized vehicles, the extent of greenhouse gas (GHG) emissions could reduce the sustainability of those tourism experiences. In the last years, sustainable travels have included bike tourists visiting cities to enjoy cultural and urban environments.
0 kommentar(er)
