Songulen, NazliReis, Amine Seyhun AlkanGuvenc, MuratErkan, YoncaCavur, Mahmut2024-06-232024-06-23202401756-75051756-7513https://doi.org/10.1080/17567505.2024.2331297https://hdl.handle.net/20.500.12469/5784Songulen, Nazli/0000-0002-3605-2019In light of recent advances in landscape conservation, this study introduces a profiling model that provides context-sensitive heritage conservation strategies. The model is adaptable and focuses on socio-demographic profiling of a rural landscape. It uses Iznik (ancient Nicaea) town, a UNESCO World Heritage candidate, and the surrounding rural landscape as a case study area. The model captures the intricate interplay between the socio-demographic conditions of agriculture-based local communities and rural heritage, offering policy options to enhance community well-being and conserve rural heritage. Based on the complementary use of Cluster and Multiple Correspondence Analysis, the model employs multi-layered analysis of quantitative and qualitative data. The model identifies six distinct clusters, revealing the vulnerability and resilience of rural settlements around Iznik town, and the priority sites where rural heritage and local populations face immediate threat. Fostering a symbiotic relationship between data-driven insights and locally informed policies, this model generates evidence-based, people-centred policy outputs for heritage conservation, which may be applicable in a variety of contexts.eninfo:eu-repo/semantics/closedAccessLandscape approachescomputational methodsheritage conservationrural landscapessocio-demographic changeIznikArticleWOS:00118944480000110.1080/17567505.2024.23312972-s2.0-85189141626Q1