International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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A Computational Assessment of Land-use Policies to Mitigate Economic and Infrastructural Impacts on Wildlife of Northern West Bengal

Author(s) Mr. DIPAYAN SAMANTA, Rabin Kumar Mullick, Rakesh KumarMandal, Priyankar Sanphui
Country India
Abstract The Dooars region in Eastern India is a critical ecological corridor linking the Himalayan foothills with the plains, supporting diverse wildlife including elephants, rhinos, and tigers. Rapid infrastructure development, expansion of tea plantations, and urbanization have led to habitat fragmentation, increased human–wildlife conflict, and economic losses. This study applies a computational approach to assess the impact of various land-use policies—Joint Forest Management (JFM), Eco-Sensitive Zones (ESZs), eco-tourism expansion, and smart infrastructure—on both economic and ecological outcomes in the Dooars. Using Geographic Information Systems (GIS), Multi-Criteria Decision-Making (MCDM) methods such as Analytic Hierarchy Process (AHP) and TOPSIS, graph-theoretic connectivity analysis, and machine learning-based conflict prediction, we model baseline and alternative policy scenarios. Results from a pilot simulation in the Gorumara–Chapramari–Malbazar sector show that combining ESZ expansion with targeted eco-tourism and optimized transport infrastructure can improve wildlife corridor connectivity by 23%, reduce predicted elephant–human conflict incidents by 18%, and increase community eco-tourism income potential by 27%. The findings suggest that computational modeling can be a powerful decision-support tool, helping policymakers optimize land-use policies for balanced development and conservation. The study also highlights the need for participatory governance, data transparency, and adaptive policy frameworks to sustain the region’s biodiversity while supporting economic growth.
Keywords Wildlife, Economy, Computational-Assessment
Published In Volume 7, Issue 5, September-October 2025
Published On 2025-10-10
DOI https://doi.org/10.36948/ijfmr.2025.v07i05.56715
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E-ISSN 2582-2160
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