ACCESSIBILITY EVALUATION OF URBAN LOW-ALTITUDE LOGISTICS NETWORKS BASED ON MULTI-SOURCE SPATIOTEMPORAL DATA

Abstract

With the rapid development of the low-altitude economy, urban low-altitude logistics has become a promising solution for improving delivery efficiency and expanding logistics services. Compared with conventional ground-based logistics, it shows strong potential in reducing traffic congestion, improving timeliness, and enhancing service capacity in special scenarios. However, existing studies have mainly focused on route planning, facility location, and scheduling optimization, while systematic evaluations of service capacity at the urban scale remain limited. Taking Shenzhen as a case study, this research integrates multi-source spatiotemporal data on spatial environment, logistics demand, operational constraints, and network supply to construct an urban low-altitude logistics network and assess its accessibility in terms of spatial coverage and travel-time performance. The results reveal a clear core–periphery pattern: central districts such as Nanshan, Futian, and Luohu show higher coverage and shorter travel times, while peripheral districts such as Pingshan, Dapeng, and Yantian exhibit lower accessibility. Scenario analysis further shows that peak periods and operational restrictions reduce network coverage and increase travel time, especially in peripheral areas. The study provides an accessibility evaluation framework that supports network optimization and differentiated governance.