[2411.10002] Uncover the Dynamic Community Structure of Instant Delivery Network

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However, limited research has explored the spatiotemporal..."/> <meta name="twitter:image" content="https://static.arxiv.org/icons/twitter/arxiv-logo-twitter-square.png"/> <meta name="twitter:image:alt" content="arXiv logo"/> <link rel="stylesheet" media="screen" type="text/css" href="/static/browse/0.3.4/css/tooltip.css"/><link rel="stylesheet" media="screen" type="text/css" href="https://static.arxiv.org/js/bibex-dev/bibex.css?20200709"/> <script src="/static/browse/0.3.4/js/mathjaxToggle.min.js" type="text/javascript"></script> <script src="//code.jquery.com/jquery-latest.min.js" type="text/javascript"></script> <script src="//cdn.jsdelivr.net/npm/js-cookie@2/src/js.cookie.min.js" type="text/javascript"></script> <script src="//cdn.jsdelivr.net/npm/dompurify@2.3.5/dist/purify.min.js"></script> <script src="/static/browse/0.3.4/js/toggle-labs.js?20241022" type="text/javascript"></script> <script src="/static/browse/0.3.4/js/cite.js" type="text/javascript"></script><meta name="citation_title" content="Uncover the Dynamic Community Structure of Instant Delivery Network" /><meta name="citation_author" content="Zhang, Chengbo" /><meta name="citation_author" content="Li, Yonglin" /><meta name="citation_author" content="Xiao, Zuopeng" /><meta name="citation_date" content="2024/11/15" /><meta name="citation_online_date" content="2024/11/15" /><meta name="citation_pdf_url" content="http://arxiv.org/pdf/2411.10002" /><meta name="citation_arxiv_id" content="2411.10002" /><meta name="citation_abstract" content="The rise of instant delivery services has reshaped urban spatial structures through the interaction between suppliers and consumers. However, limited research has explored the spatiotemporal dynamics of delivery network structures. This study constructs a time-dependent, multi-layer instant delivery network in the case city of Beijing using a large-scale dataset from Eleme, organized into 500m grid units. A dynamic community detection method identifies evolving community structures over time. The results reveal 309 dynamic communities, with an average size of 13.78 square kilometers. Communities form in the morning, expand, stabilize, then contract, and disappear by night. Key factors influencing stability include building area and residential population, while online retail and service facilities contribute to instability. These findings offer insights into the spatial structure of instant delivery networks and the factors driving their dynamics, with practical implications for optimizing platform strategies, resource allocation, and urban transportation planning." /> </head> <body class="with-cu-identity"> <aside class="slider-wrapper bps-banner special-color"> <div class="columns"> <div class="copy-donation bps-banner"> <h2>Change to arXiv's privacy policy</h2> <p>The <a target="_blank" href="https://info.arxiv.org/help/policies/privacy_policy.html">arXiv Privacy Policy</a> has changed. 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href="https://arxiv.org/search/physics?searchtype=author&query=Zhang,+C" rel="nofollow">Chengbo Zhang</a>, <a href="https://arxiv.org/search/physics?searchtype=author&query=Li,+Y" rel="nofollow">Yonglin Li</a>, <a href="https://arxiv.org/search/physics?searchtype=author&query=Xiao,+Z" rel="nofollow">Zuopeng Xiao</a></div> <div id="download-button-info" hidden>View a PDF of the paper titled Uncover the Dynamic Community Structure of Instant Delivery Network, by Chengbo Zhang and 2 other authors</div> <a class="mobile-submission-download" href="/pdf/2411.10002">View PDF</a> <blockquote class="abstract mathjax"> <span class="descriptor">Abstract:</span>The rise of instant delivery services has reshaped urban spatial structures through the interaction between suppliers and consumers. However, limited research has explored the spatiotemporal dynamics of delivery network structures. This study constructs a time-dependent, multi-layer instant delivery network in the case city of Beijing using a large-scale dataset from Eleme, organized into 500m grid units. A dynamic community detection method identifies evolving community structures over time. The results reveal 309 dynamic communities, with an average size of 13.78 square kilometers. Communities form in the morning, expand, stabilize, then contract, and disappear by night. Key factors influencing stability include building area and residential population, while online retail and service facilities contribute to instability. These findings offer insights into the spatial structure of instant delivery networks and the factors driving their dynamics, with practical implications for optimizing platform strategies, resource allocation, and urban transportation planning. </blockquote>  <div class="metatable"> <table summary="Additional metadata"> <tr> <td class="tablecell label">Comments:</td> <td class="tablecell comments mathjax">7 pages, 8 <a href="http://figures.This" rel="external noopener nofollow" class="link-external link-http">this http URL</a> is a long abstract for participating in the AAG meeting 2025</td> </tr> <tr> <td class="tablecell label">Subjects:</td> <td class="tablecell subjects"> <span class="primary-subject">Physics and Society (physics.soc-ph)</span></td> </tr><tr> <td class="tablecell label">Cite as:</td> <td class="tablecell arxivid"><span class="arxivid"><a href="https://arxiv.org/abs/2411.10002">arXiv:2411.10002</a> [physics.soc-ph]</span></td> </tr> <tr> <td class="tablecell label"> </td> <td class="tablecell arxividv">(or <span class="arxivid"> <a href="https://arxiv.org/abs/2411.10002v1">arXiv:2411.10002v1</a> [physics.soc-ph]</span> for this version) </td> </tr> <tr> <td class="tablecell label"> </td> <td class="tablecell arxivdoi"> <a href="https://doi.org/10.48550/arXiv.2411.10002" id="arxiv-doi-link">https://doi.org/10.48550/arXiv.2411.10002</a><div class="button-and-tooltip"> <button class="more-info" aria-describedby="more-info-desc-1"> <svg height="15" role="presentation" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M256 8C119.043 8 8 119.083 8 256c0 136.997 111.043 248 248 248s248-111.003 248-248C504 119.083 392.957 8 256 8zm0 110c23.196 0 42 18.804 42 42s-18.804 42-42 42-42-18.804-42-42 18.804-42 42-42zm56 254c0 6.627-5.373 12-12 12h-88c-6.627 0-12-5.373-12-12v-24c0-6.627 5.373-12 12-12h12v-64h-12c-6.627 0-12-5.373-12-12v-24c0-6.627 5.373-12 12-12h64c6.627 0 12 5.373 12 12v100h12c6.627 0 12 5.373 12 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[2411.10002] Uncover the Dynamic Community Structure of Instant Delivery Network