Data Mining Approach for Social Integration Assessment: Antalya Coastline Case

Serdar Yakut S. E., Türer Başkaya F. A.

in: Contemporary Issues in Architecture and Urban Planning Development, Memory, Environment, Aksoy Yıldız,Duyan Efe, Editor, DAKAM BOOKS - Özgür Öztürk DAKAM YAYINLARI, İstanbul, pp.62-79, 2021

  • Publication Type: Book Chapter / Chapter Research Book
  • Publication Date: 2021
  • Publisher: DAKAM BOOKS - Özgür Öztürk DAKAM YAYINLARI
  • City: İstanbul
  • Page Numbers: pp.62-79
  • Editors: Aksoy Yıldız,Duyan Efe, Editor
  • Istanbul Technical University Affiliated: Yes


Coast is not only the fringe between land and sea but also a dynamic contest area based on ecological, social, and economic values. In a way, coasts and cities have some similarities regarding countless variables that affect form and processes. However, considering the coastal cities, littoral effects are the most important agents that shape the city, starting from urban development to social structure. On many levels, vibrant interface offered by the edge actually creates the city’s identity through the collective memory of dwellers. In that sense, the combination of urban and coastal concepts originate even more complex variables such as publicness of land, usage types, or preferences. From this point of view, this research is structured to reveal the relations between social integration and characteristics of coastal edges. Therefore, this paper presents a decoding approach of dynamic interactions between spatial features and relative user preferences on the Antalya coastline via data mining methodology. For this matter, the coastal edge around the city center was evaluated by spatial, social, and vicinity variables regarding urban context. Basically, it developed on three phases which are data gathering, mining and exploration of outcomes, finally evaluation and spatial strategies. While GIS-based analyses and online user questionnaires generate data-gathering phase, and where the answers were analyzed with naïve Bayes theorem for exploring the probabilistic relations, creates second phase. At the end, all spatial, social, and vicinity variables were utilized together as future design strategies. Results showed the strengths, weaknesses, and correlations along the coastline regarding land-use, publicness, naturality, accessibility, and nearby amenities on preferences. With this approach, the research gains importance for addressing the socio-spatial dynamics that focused on city-coast intersection by means of both with spatial analysis and social behavior patterns obtained from surveys. In particular, user experiences and preferences on coastal that evaluated within the data mining method, differs in terms of analyzing user perception and repetitive behaviors unlike geotagged point cloud data form social media. As a consequence, results and insights showed the extracted information has potentials as guidance in the planning and design processes for evaluating the city and coastal relations in a more integrated way.