Yankai Wang , Quanyu Liu , Tao Mei , Haochen Shi , Miaoxi Zhao , Binbin Sun
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引用次数: 0
Abstract
Express service amenities are essential for efficient last-mile logistics in urban areas. However, limited data availability has hindered thorough quantitative assessments of equity in revealed accessibility, restricting targeted improvements in amenities planning. To address this issue, this study applies an enhanced two-step floating catchment area (2SFCA) method, combined with genetic algorithms and random forest models, to evaluate and optimize equity in revealed accessibility. Using Guangzhou as a case study, results show notable spatial inequality, with a Gini coefficient of 0.943. The proposed optimization reduces this by 17.8 %, lowering the coefficient to 0.775. This research links market-driven logistics planning with spatial justice, contributing to applied geography and supporting SDG 11 goals. The findings provide practical guidance for urban planners aiming to improve both equity and efficiency in service provision, especially in rapidly urbanizing regions.
期刊介绍:
Applied Geography is a journal devoted to the publication of research which utilizes geographic approaches (human, physical, nature-society and GIScience) to resolve human problems that have a spatial dimension. These problems may be related to the assessment, management and allocation of the world physical and/or human resources. The underlying rationale of the journal is that only through a clear understanding of the relevant societal, physical, and coupled natural-humans systems can we resolve such problems. Papers are invited on any theme involving the application of geographical theory and methodology in the resolution of human problems.