<?xml version="1.1" encoding="utf-8"?>
<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">PBES</journal-id><journal-title-group><journal-title>Proceedings of Business and Economic Studies</journal-title></journal-title-group><issn>2209-2641</issn><eissn>2209-265X</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.18063/PBES.v9i8.15157</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Analysis of Optimization Paths of Yichun Agricultural Product Cold Chain Logistics Anti-Risk Network from the Perspective of Air-Ground Collaborative Distribution</title><url>https://artdesignp.com/journal/PBES/9/8/10.18063/PBES.v9i8.15157</url><author>ChenDouhai,ZhengZhu,LiDai</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>9</volume><issue>8</issue><history><date date-type="pub"><published-time>2026-08-31</published-time></date></history><abstract>This paper examines the improvement of Yichun&amp;rsquo;s agricultural product cold chain logistics anti-risk network from the perspective of air-ground collaborative distribution. The enabling mechanism of air-ground collaborative distribution for cold chain logistics anti-risk capability is systematically elaborated from three aspects: the spatiotemporal complementary advantages of air-ground collaboration, the mechanism for reducing cold chain interruption probability, and network resilience enhancement. On this basis, it is proposed that Yichun should advance the spatial layout optimization of air-ground collaborative distribution nodes, intelligent dispatching optimization based on risk perception, and whole-chain temperature control and emergency response optimization under multimodal transport collaboration, to construct an air-ground integrated, dynamically adaptive cold chain logistics anti-risk network architecture, providing theoretical reference and practical pathways for enhancing regional agricultural product cold chain logistics resilience.</abstract><keywords>Air-ground collaborative distribution, Agricultural product cold chain logistics, Anti-risk network, Path optimization</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>[1] Qin Z, Long L, Yang Y, et al., 2026, Research Progress and Prospects on Collaborative Delivery Model of UAV and Ground Vehicle. Journal of Changsha University of Science &amp;amp; Technology (Natural Science), 23(2): 152&amp;ndash;165.
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