An Experimental Evaluation of the Variables "Accessibility" and "Quality" of Service Provided By the Transport System in Planning All Inclusive Holiday Packages
G Fancello, P Fadda, Universita di Cagliari, IT
The aim of this paper is to determine the weight that the transport variables characterizing the accessibility and quality of services (particularly comfort services) have in the choice of two types of vacation: sun & sand and wine & food. The objective is to offer to the planner a support in developing suitable and attractive all inclusive holiday packages.
Tourism is a strategic activity strongly interrelated with the economic system and showing both a high sectorial and territorial integration, with potential multiplicative effects on income, employment and consumption. The development generated by tourism is the result not only of the possibility of creating tourist-related employment but also of the ease of access to the selected sites. For this reason, in the appeal of a tourist product, integration with the transport system plays a key role.
The relationship between tourism and transport is primarily influenced by two elements: convenient access to the tourist destinations and the quality of transport services, which must meet user expectations and must in any case be of a high level.
Given the nature of tourist activity, the evaluation of the accessibility to the sites and of the quality of transport services is relatively complex as it is dependent upon the individual characteristics of the tourists (socio-demographic characteristics), specific features of the holiday package (kind of vacation, tourist destination, accomodation typologies, and so on) and characteristics of the transport system used.
For this purpose 6000 interviews have been conducted, by means of interviewer-assisted questionnaires, on tourists visiting Sardinia in July and August 2003. The questions concerned the reasons underlying their choice of a certain type of holiday and of a certain transport system.
Traditional and multivaried statistical analyses were used to identify and determine both the weight of the variables and their correlation.
Association for European Transport