A quantitative priority-based approach using a multi-criteria decision-making model for sustainable coastal city development

Author:

Dilman Gokkaya MerveORCID,Demir SaraORCID,Aksoy OnurORCID,Ersoz Nazli DenizORCID

Abstract

AbstractThroughout history, water availability has been an essential factor in shaping the development, culture, transportation, economic activities, and access to food in cities. The socioeconomic and cultural development of a city or country with a coast depends on the active use of the coast and the impact of the coast on urban life. In this context, for the development of coastal cities, it is necessary to determine coastal city criteria and specify their strategies in line with these criteria in order to increase coastal qualities. This research determined Bursa, located northwest of Turkey, as the study area. However, factors such as the absence of a coastal plan for the city and the inability of the coast to integrate into urban life have weakened the coastal city’s qualities of it. For this reason, this study aims to define Bursa’s coastal city criteria and determine strategies to increase the coastal city quality. The coastal city criteria developed depending on the examples of coastal cities in the world were evaluated by surveying local people and experts. The results of these surveys were digitized according to their priorities using Analytical Hierarchical Process (AHP), one of the multi-criteria decision-making (MCDM) methods. The results of this study determined the highest priority criteria among the three main and nine sub-coastal city criteria in evaluating the coastal city in Bursa. This study proposes a numerical method that develops effective and sustainable coastal design and planning strategies for Turkey and underdeveloped countries.

Publisher

Springer Science and Business Media LLC

Reference64 articles.

1. Akdeniz, N. S., Batman, Z. P., Çanga, A. Ç., Altay, E. E., & Zencirkiran, M. (2020). Evaluation of recreation possibilities according to user requests of Mudanya district coastal line in Bursa province. Journal of Bartin Faculty of Forestry, 22(2), 307–318.

2. Araujo, J. C., & Dias, F. F. (2021). Multicriterial method of AHP analysis for the identification of coastal vulnerability regarding the rise of sea level: Case study in Ilha Grande Bay, Rio de Janeiro, Brazil. Natural Hazards, 107(1), 53–72.

3. Asadpourian, Z., Rahimian, M., & Gholamrezai, S. (2020). SWOT-AHP-TOWS analysis for sustainable ecotourism development in the best area in Lorestan Province. Iran. Social Indicators Research, 152, 289–315.

4. Avci, S., (2005), Turkey’s transportation policies and geographical results in terms of transportation geography. In National Geography Congress 2005, Proceedings Book, pp 87–96.

5. Aydin, O., Oznehir, S., & Akcali, E. (2009). Selection of optimal location for ankara hospital by modelling analytic hierarchy process. Journal of Economics, Finance and Administrative Science, 14(2), 69–86.

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