<p>Addressing potential land use conflicts (LUCs) is essential for guiding sustainable urban development, as it identifies areas where development pressures may clash with existing land uses. This study aims to investigate potential LUCs in Chattogram District, Bangladesh, by employing the analytic hierarchy process and fuzzy logic, considering living, agricultural, and ecological criteria to promote sustainable urban growth. Results reveal that nearly a quarter of the district’s land is highly suitable for agricultural and ecological purposes, while only 4.68% is highly suitable for living use. The fuzzy logic analysis uncovers significant conflicts between agricultural and ecological land use, affecting 14.57% of the area, while conflicts involving all three land uses are comparatively minor, impacting 1.99% of the land. However, moderate conflict intensity is observed across a substantial portion of the district. The high area under the curve values (0.807–0.972) validate the model’s accuracy. Hotspot analysis identifies 69 unions, covering approximately 855.78&#xa0;km<sup>2</sup>, as high-conflict zones. These findings illustrate that LUCs are indeed a barrier to sustainable city development in Chattogram. Addressing these conflicts is key to promoting sustainable city development in rapidly urbanizing regions like Chattogram. The study’s insights can guide policymakers in developing integrated land use policies that promote the harmonious growth of cities worldwide, fostering the development of resilient urban areas.</p>

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Are land use conflicts a barrier to sustainable city development? Evidence from Chattogram District of Bangladesh

  • Fahmida Sultana,
  • Syeda Ayshia Akter,
  • Zia Ahmed,
  • Abdul Kadir

摘要

Addressing potential land use conflicts (LUCs) is essential for guiding sustainable urban development, as it identifies areas where development pressures may clash with existing land uses. This study aims to investigate potential LUCs in Chattogram District, Bangladesh, by employing the analytic hierarchy process and fuzzy logic, considering living, agricultural, and ecological criteria to promote sustainable urban growth. Results reveal that nearly a quarter of the district’s land is highly suitable for agricultural and ecological purposes, while only 4.68% is highly suitable for living use. The fuzzy logic analysis uncovers significant conflicts between agricultural and ecological land use, affecting 14.57% of the area, while conflicts involving all three land uses are comparatively minor, impacting 1.99% of the land. However, moderate conflict intensity is observed across a substantial portion of the district. The high area under the curve values (0.807–0.972) validate the model’s accuracy. Hotspot analysis identifies 69 unions, covering approximately 855.78 km2, as high-conflict zones. These findings illustrate that LUCs are indeed a barrier to sustainable city development in Chattogram. Addressing these conflicts is key to promoting sustainable city development in rapidly urbanizing regions like Chattogram. The study’s insights can guide policymakers in developing integrated land use policies that promote the harmonious growth of cities worldwide, fostering the development of resilient urban areas.