Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Sustainable Tourism Assessment: A QGIS Plugin Approach for Integrated Economic, Environmental, and Social Indice.

Version 1 : Received: 29 December 2023 / Approved: 29 December 2023 / Online: 3 January 2024 (09:56:56 CET)

How to cite: Haloui, S.; EL Mansouri, F.; Chao, J. Sustainable Tourism Assessment: A QGIS Plugin Approach for Integrated Economic, Environmental, and Social Indice.. Preprints 2023, 2023122297. https://doi.org/10.20944/preprints202312.2297.v1 Haloui, S.; EL Mansouri, F.; Chao, J. Sustainable Tourism Assessment: A QGIS Plugin Approach for Integrated Economic, Environmental, and Social Indice.. Preprints 2023, 2023122297. https://doi.org/10.20944/preprints202312.2297.v1

Abstract

The evaluation of tourism sustainability has become of paramount importance for researchers and decision-makers to better protect tourist destinations, especially with the continuous increase in the number of tourists and visitors that alter the natural components of the environment and degrade ecosystems. Therefore, the use of geographical data is of great significance, particularly in environmental monitoring and land management, due to its ease of use and availability. However, calculating composite indices for sustainability involves several steps and requires a basic understanding of existing models. This article describes the development and design of a package of plugins in QGIS that serves as an easy-to-use tool for processing and automatically calculating economic, environmental, social indices, and the overall index of tourist sustainability. These plugins have been built in Python and designed as QGIS software plugins.

Keywords

evaluation; stakeholders; model; indicators; tourist sustainability plugins; QGIS

Subject

Environmental and Earth Sciences, Sustainable Science and Technology

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