Mahfouz, H., Morgan, M. orcid.org/0000-0002-9488-9183, Heinen, E. et al. (1 more author) (2025) Delineating potential DRT operating areas: An origin–destination clustering approach. Journal of Urban Mobility, 8. 100135. ISSN: 2667-0917
Abstract
Investment in Demand-Responsive Transport (DRT) has emerged as a sustainable transport intervention option for areas that are traditionally hard to serve by high frequency public transport. When used as a first- and last-mile feeder, DRT has the potential to reduce car dependency and enhance access to the wider network. However, many DRT schemes fail—often due to overly flexible, poorly targeted service areas that do not align with actual travel patterns, making efficient pooling difficult. While planners may already have a general sense of where DRT might be useful, there is limited guidance on how to identify precise operating zones based on spatiotemporal demand. This paper presents a method for identifying potential DRT service areas using spatial clustering of origin–destination (OD) flows. We apply the method in Leeds, UK, focusing on OD pairs with poor public transport supply and low potential demand. The approach identifies spatial clusters where demand is both underserved and sufficiently concentrated to support DRT operation. By narrowing service areas to zones where pooling is more likely and where DRT complements rather than competes with fixed-route services, the method helps address two key challenges in DRT planning. The results offer a reproducible, data-driven input for delineating preliminary DRT service areas—supporting strategic planning, integration with downstream agent-based models, and further refinement through local knowledge. The method provides a foundation for future work on designing DRT services that complement the public transport network, particularly in low-density urban peripheries.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2025 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
Keywords: | Demand-responsive transport, Strategic planning, DRT operating zones, OD flow clustering, Spatial data mining |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 05 Aug 2025 09:10 |
Last Modified: | 05 Aug 2025 09:10 |
Published Version: | https://www.sciencedirect.com/science/article/pii/... |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.urbmob.2025.100135 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:229956 |
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