Measuring and Analyzing the Spatiotemporal Characteristics of Emergency Logistics Coordination for Natural Disasters in the Yellow River Basin | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Measuring and Analyzing the Spatiotemporal Characteristics of Emergency Logistics Coordination for Natural Disasters in the Yellow River Basin Yu Hao, Jing Wang, Lijun Zhang, Chaolun Sun This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5224741/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Emergency logistics collaboration is essential for minimizing the impact of natural disasters by ensuring the timely delivery of emergency supplies. This study analyzes the coordination of emergency logistics across nine provinces in the Yellow River Basin from 2012 to 2022. An evaluation index system based on the economic support-logistics transportation-information processing (ELI) framework is established. The coordination level is assessed using a static coupling coordination model with entropy-CRITIC combined weighting. Additionally, a dynamic coupling coordination model and ArcGIS global trend analysis reveal the comprehensive validity, global distribution, and evolution trends of coordination. The main research findings are as follows: (1) Temporally, the coordination level of emergency logistics for natural disasters in the Yellow River Basin shows a slowly rising trend in coordinated evolution. Both "logistics transportation-economic support" and "logistics transportation-information processing" exhibit gradual improvement, while "economic support-information processing" demonstrates a more pronounced positive trend. (2) Spatially, the coordination level displays a "U"-shaped trend, initially decreasing and then increasing from south to north, along with a clear spatial pattern of "the upper reaches < the middle reaches < the down reaches" from west to east. Earth and environmental sciences/Environmental social sciences Earth and environmental sciences/Natural hazards emergency logistics coupling coordination degree spatiotemporal evolution coordination level Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. 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