On the Computation of Accessibility Provided by Shared On-Demand Mobility

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Abstract Shared Mobility Services (SMS), e.g., demand-responsive transit or ride-sharing, can improve mobility in low-density areas, often poorly served by conventional Public Transport (PT). Such improvement is mostly quantified via basic performance indicators, like wait or travel time. However, accessibility indicators, measuring the ease of reaching surrounding opportunities (e.g., jobs, schools, shops, ...), would be a more comprehensive indicator. To date, no method exists to quantify the accessibility of SMS based on empirical measurements. Indeed, accessibility is generally computed on graph representations of PT networks, but SMS are dynamic and do not follow a predefined network. We propose a spatial-temporal statistical method that takes as input observed trips of a SMS acting as a feeder for PT and summarized such trips in a graph. On such a graph, we compute classic accessibility indicators. We apply our method to a MATSim simulation study concerning demand-responsive transport in Paris-Saclay.
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On the Computation of Accessibility Provided by Shared On-Demand Mobility | 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 Research Article On the Computation of Accessibility Provided by Shared On-Demand Mobility Severin Diepolder, Andrea Araldo, Tarek Chouaki, Santa Maiti, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4803855/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 15 Sep, 2025 Read the published version in Transportation → Version 1 posted 12 You are reading this latest preprint version Abstract Shared Mobility Services (SMS), e.g., demand-responsive transit or ride-sharing, can improve mobility in low-density areas, often poorly served by conventional Public Transport (PT). Such improvement is mostly quantified via basic performance indicators, like wait or travel time. However, accessibility indicators, measuring the ease of reaching surrounding opportunities (e.g., jobs, schools, shops, ...), would be a more comprehensive indicator. To date, no method exists to quantify the accessibility of SMS based on empirical measurements. Indeed, accessibility is generally computed on graph representations of PT networks, but SMS are dynamic and do not follow a predefined network. We propose a spatial-temporal statistical method that takes as input observed trips of a SMS acting as a feeder for PT and summarized such trips in a graph. On such a graph, we compute classic accessibility indicators. We apply our method to a MATSim simulation study concerning demand-responsive transport in Paris-Saclay. Accessibility Public Transport Shared Mobility Mobility On-Demand Demand-Responsive Transport Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 15 Sep, 2025 Read the published version in Transportation → Version 1 posted Editorial decision: Revision requested 08 Jan, 2025 Reviews received at journal 23 Dec, 2024 Reviews received at journal 02 Dec, 2024 Reviewers agreed at journal 25 Nov, 2024 Reviews received at journal 24 Nov, 2024 Reviewers agreed at journal 19 Nov, 2024 Reviewers agreed at journal 26 Oct, 2024 Reviewers agreed at journal 04 Aug, 2024 Reviewers invited by journal 30 Jul, 2024 Editor assigned by journal 29 Jul, 2024 Submission checks completed at journal 27 Jul, 2024 First submitted to journal 25 Jul, 2024 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. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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