Urban Land Suitability analysis is necessary in any development project in order to ensure rational urban planning and sustainable development. In this study, a novel approach based on GIS and Combined Weighting method were used to construct a reasonable assessment model and calculate the Urban Land Suitability Index (ULSI) of Gabes area (Southeastern Tunisia). Seven conditional factors were selected: flooding susceptibility, Lithology, Topography, Seismotectonic, Water table depth, Swelling soils, Soils Aggressivity and the thematic layers were prepared in ArcMap_GIS. The resultant model following combination of the geo-spatial (GIS) and geostatistical (CRITIC-ANP) modeling show that this region is subdivided into four analyzed zones in terms of geo-hazard susceptibility and foundation excavation: flooding risk area; settlement risk zone; collapse risk area and subsidence risk zone. The ULSI is equal to 3.5. The accuracy degree of the achieved model was validated by ROC-AUC curve, it’s is around 78.4%. The ULS model developed enable assured a the assessed thorough and can well reflect an urban land suitability. The results achieved in this study assured planners, engineers, decision- makers and authorities assured a good risk prediction and management plan, could, thus, be facilitate decision-making and can serve as a guideline for all future urban planning projects in this region.
Authors
Dhekra Souissi, Lahcen Zouhri, Abdelaziz Sebei, Adel Zghibi, Mahmoud Dlala, Mohamed Ghanmi
- Bibliographic Reference
- Dhekra Souissi, Lahcen Zouhri, Abdelaziz Sebei, Adel Zghibi, Mahmoud Dlala, et al.. Urban land suitability analysis using geospatial techniques and combined weighting approach in Gabes zone, Southeastern Tunisia. Geomatics, Natural Hazards and Risk, 2023, 14 (1), ⟨10.1080/19475705.2023.2278278⟩. ⟨hal-04297035⟩
- DOI
- https://doi.org/10.1080/19475705.2023.2278278
- HAL Collection
- ["Sciences De l'Environnement", 'CNRS - Centre national de la recherche scientifique', 'GIP Bretagne Environnement', 'Normandie Université']
- HAL Identifier
- 4297035
- Institution
- ['Laboratoire des Ressources Minérales et Environnement, Déepartement de Géologie, Faculté des Sciences de Tunis, Université de Tunis El Manar, Tunis, Tunisie', 'AGHYLE, SFR Condorcet FR CNRS 3417, Institut Polytechnique UniLaSalle Beauvais 19, Beauvais, France', 'College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar', 'Laboratoire des Ressources Minérales et Environnement, Département de Géologie, Faculté des Sciences de Tunis, Université de Tunis El Manar, Tunis, Tunisie']
- Laboratory
- ['Laboratoire des Ressources Minérales et Environnement, Département de Géologie, Faculté des Sciences de Tunis, Université de Tunis El Manar, Tunis', 'Laboratoire des Ressources Minérales et Environnement, Département de Géologie, Faculté des Sciences de Tunis, Université de Tunis El Manar, Tunis, Tunisie']
- Published in
- France
Table of Contents
- Urban land suitability analysis using geospatial techniques and combined weighting approach in Gabes zone, Southeastern Tunisia 3
- Abstract 3
- Introduction 3
- Description of the study area 6
- Database and methods 9
- Database 9
- Methods 10
- Calculation of subjective weights of decision criteria 11
- Develop a decision network structure model 11
- Construction of the supermatrix 12
- Estimation of the weighted supermatrix 12
- Estimation of the limit supermatrix and achieve the final dominance weights 13
- Estimation of the objective weights of decision criteria 13
- Combined weighting according Game theory 13
- Validation 14
- Results 15
- Parameters used for urban land development suitability analysis 15
- Flooding susceptibility 15
- Lithology 16
- Topography 16
- Seismotectonic 18
- Groundwater table depth 19
- Swelling potential of soils 20
- Soils agressivity 20
- Discussions 23
- Elaboration of urban land suitability assessment model 23
- Prediction of urban land suitability 23
- Weighted calculation 27
- Validation of results 27
- Compare the results with the previous study 30
- Conclusion 31
- Acknowledgements 32
- Authors’ contributions 32
- Disclosure statement 33
- Orcid 33
- References 33
