Optimization of Urban Low-Altitude Logistics Network and Risk Control: A Perspective of Smart City Integration

Abstract

With the deep integration of low-altitude economy and smart city construction, urban low-altitude logistics has become an important breakthrough to solve the problems of „last-mile“ delivery in urban areas. However, the current urban low-altitude logistics network is faced with challenges such as unreasonable layout, insufficient intelligent scheduling capabilities, and imperfect risk control systems, which restrict its high-quality development. This study takes the integration of smart city as the perspective, systematically explores the optimization path of urban low-altitude logistics network and the construction of risk control system. Through the analysis of typical cases in China, the United Kingdom, Japan and other countries, it identifies the key influencing factors of network optimization and risk formation mechanisms. On this basis, the paper proposes a multi-objective optimization model of low-altitude logistics network considering efficiency, cost and safety, and designs a risk control system based on digital twin and real-time monitoring technology. Research results show that the integration of smart city technologies such as big data, Internet of Things and artificial intelligence can effectively improve the operational efficiency of low-altitude logistics networks and reduce potential risks. This study provides theoretical support and practical guidance for the construction of urban low-altitude logistics systems and the high-quality development of the low-altitude economy.