PSR_ti model, an adapted pressure-state-response (PSR) framework for measuring tourism impacts: the case of Madrid

Abstract

Purpose

Assessing the impacts generated by tourism has become an essential element for the industry’s sustainability. The increasing intensity of the impacts and the need to evaluate them from a resident’s perspective calls for new approaches to assist tourism management. This paper aims to advance from the pressure-state-response framework (PSR) to measure the tourism impacts in urban destinations with a holistic model called PSR-ti.

Design/methodology/approach

A multiple linear regression method was adopted to apply the PSR-ti model in the city of Madrid, estimating the relationship between the pressure (objective) and state (subjective) variables. Local statistical yearbook data was used to construct the pressure variables. Regarding the state variables, a survey was designed to assess residents’ perceptions of tourism. A total of 652 responses were obtained.

Findings

The results obtained from the study of pressure indicators unveil that these indicators can support decision-making processes as an underused management tool. This work represents a step forward in considering the transversality of tourism concerning urban planning, the development of equipment and infrastructures or activities such as commerce and culture for the analysis of the state indicators; the results obtained determine the need to periodically evaluate the perception of residents on the impacts of tourism, given its crucial role in the sustainability of the destination.

Originality/value

The PSR-ti model offers a holistic vision, including objective and subjective indicators in the model, which enhances the appraisal of the impacts of tourism by identifying pressure and state factors as a starting point for possible responses by the decision makers of the tourist destination.

Citation

Gómez-Bruna, D., Martín-Duque, C., Alzua-Sorzabal, A. and Ruiz-Rua, A. (2023), "PSR_ti model, an adapted pressure-state-response (PSR) framework for measuring tourism impacts: the case of Madrid", International Journal of Tourism Cities, Vol. 9 No. 3, pp. 693-711. https://doi.org/10.1108/IJTC-01-2023-0004