Journal of Engineering, Project, and Production Management, 2026, 16(3), 2025-236
Empirical Analysis of Risk Assessment of Ecotourism Scenic Spots Based on Remote Sensing and AHP-EW
Lecture, School of Economics and Management (School of Green Finance), Huzhou College, Huzhou, 313000, China, E-mail: qiliweiqlw@outlook.com
Project Management
Received October 17, 2025; revised December 8, 2025; accepted December 31, 2025
Available online April 8, 2026
Abstract: This study builds a complete evaluation system that combines remote sensing with the analytic hierarchy process-entropy weighting approach for composite weighting in an attempt to properly assess the sustainability concerns of ecotourism scenic sites. Taking a typical ecotourism scenic spot as the research subject, the study utilizes remote sensing imagery and digital elevation model data to extract 10 evaluation indicators across three dimensions: natural geography, ecosystem condition, and human intervention. The comprehensive weights of indicators are also determined using the Analytic Hierarchy Process-Entropy Weight (AHP-EW) method. Moreover, a comprehensive risk assessment is achieved through the weighted superposition method, which spatially aggregates the risk values of different indicator layers based on their specific weights to generate a total risk distribution map. The results indicated that the highest composite weights were assigned to land use classification, vegetation coverage, and soil erosion sensitivity, with values of 0.1795, 0.1615, and 0.1365, respectively. From the perspective of risk sources, the human intervention criterion layer exhibited the highest risk level. Its combined area of high-risk and medium-to-high-risk zones accounted for 45.04%, significantly exceeding that of natural geographic elements and ecosystem conditions. From the perspective of the overall risk pattern, the study area exhibited a low-to-moderate risk level, with nearly 75% of the region classified as medium risk or below. High-risk zones accounted for only 8.09%. This suggests that human intervention is the dominant factor driving the spatial differentiation of ecological risks within the scenic area, while the area’s superior natural ecological foundation plays a crucial buffering role. Meanwhile, by leveraging the complementary advantages of objective data and expertise, the composite weighting method employed in this study enhances the reliability of risk assessment results. This approach provides decision support for the sustainable management and targeted conservation of ecotourism scenic spots.
Keywords: Ecotourism, risk assessment, Analytic Hierarchy Process (AHP), entropy weighting method, remote sensing, sustainable development.
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Citation: Qi, L. (2026). Empirical Analysis of Risk Assessment of Ecotourism Scenic Spots Based on Remote Sensing and AHP-EW. Journal of Engineering, Project, and Production Management, 16(3), 2025-236.
