论文
arXiv
GeoAI
GIS
中文标题
利用开放地理空间数据对非洲大陆尺度的空间食品市场可达性进行评估
English Title
Continental-scale assessment of spatial food market accessibility in Africa using open geospatial data
Robert Benassai-Dalmau, Vasiliki Voukelatou, Rossano Schifanella, Stefania Fiandrino, Daniela Paolotti, Kyriaki Kalimeri
发布时间
2025/5/12 21:43:09
来源类型
preprint
语言
en
摘要
中文对照

食品市场可达性是食物系统中一个关键但尚未充分研究的维度,尤其在中低收入国家。本文基于OpenStreetMap与世界粮食计划署(WFP)的开放地理空间数据,对非洲大陆范围内的空间食品市场可达性开展评估。我们比较了三种互补性指标:到达最近市场的通勤时间、30分钟阈值内市场可及性,以及基于熵的空间分布度量,以量化不同环境下的可达性。分析揭示出显著差异:农村地区及经济弱势群体面临更长的通勤时间、更有限的市场覆盖范围,以及更低的空间冗余度。这些可达性模式与相对财富指数(Relative Wealth Index)所衡量的社会经济分层高度一致,并与综合粮食安全阶段分类(Integrated Food Security Phase Classification)评估的粮食不安全水平呈中等程度相关。我们发现可达性存在显著差异:农村及经济弱势群体通勤时间明显更长、市场可及性更低,部分区域通勤时间长达数小时。总体而言,结果表明食品市场可达性反映了更广泛的空间与经济不平等,并在塑造粮食安全结果中发挥重要作用。该框架提供了一种可扩展、数据驱动的方法,可用于识别服务不足区域,并支持非洲多样化背景下公平的基础设施规划与政策制定。

English Original

Food market accessibility is a critical yet underexplored dimension of food systems, particularly in low- and middle-income countries. In this paper, we present a continent-wide assessment of spatial food market accessibility in Africa, integrating open geospatial data from OpenStreetMap and the World Food Programme. We compare three complementary metrics: travel time to the nearest market, market availability within a 30-minute threshold, and an entropy-based measure of spatial distribution, to quantify accessibility across diverse settings. Our analysis reveals pronounced disparities: rural and economically disadvantaged populations face substantially higher travel times, limited market reach, and less spatial redundancy. These accessibility patterns align with socioeconomic stratification, as measured by the Relative Wealth Index, and moderately correlate with food insecurity levels, assessed using the Integrated Food Security Phase Classification. We find pronounced disparities in accessibility: rural and economically disadvantaged populations face substantially longer travel times and reduced market availability, with some areas requiring several hours of travel. Overall, results suggest that access to food markets reflects broader geographic and economic inequalities and plays a relevant role in shaping food security outcomes. This framework provides a scalable, data-driven approach for identifying underserved regions and supporting equitable infrastructure planning and policy design across diverse African contexts.

元数据
arXiv2505.07913v2
来源arXiv
类型论文
抽取状态raw
关键词
GeoAI
GIS
econ.GN