A continent-wide analysis shows that rural and low-income African populations have substantially worse spatial access to food markets than urban and wealthy populations, with remote areas sometimes requiring many hours of travel.
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OpenPath is a supervisor-specialist multi-agent system combining LLM intent parsing with classical route optimization for personalized, accessible, multi-stop urban trip planning and city-scale accessibility measurement.
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Continental-scale assessment of spatial food market accessibility in Africa using open geospatial data
A continent-wide analysis shows that rural and low-income African populations have substantially worse spatial access to food markets than urban and wealthy populations, with remote areas sometimes requiring many hours of travel.
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OPENPATH: A Supervisor--Specialist Agent System for Personalized, Accessible, and Multi-stop Urban Trip Planning
OpenPath is a supervisor-specialist multi-agent system combining LLM intent parsing with classical route optimization for personalized, accessible, multi-stop urban trip planning and city-scale accessibility measurement.