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<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">SSR</journal-id><journal-title-group><journal-title>Scientific and Social Research</journal-title></journal-title-group><issn>2661-4332</issn><eissn>2981-9946</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/ssr.v7i11.12953</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Research on Demand Forecasting for Cold Chain Logistics of Fresh Agricultural Products in Urban Areas of Qinhuangdao</title><url>https://artdesignp.com/journal/SSR/7/11/10.26689/ssr.v7i11.12953</url><author>JingGu,FanYin,QingLi</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>7</volume><issue>11</issue><history><date date-type="pub"><published-time>2025-11-14</published-time></date></history><abstract>Based on the current development status of cold chain logistics for fresh agricultural products in urban areas of Qinhuangdao, this study employs the grey forecasting model to predict the consumption of fresh agricultural products in these areas. 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