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Digital twin enabled sustainable urban road planning

Jiang, F; Ma, L; Broyd, T; Chen, W; Luo, H; (2022) Digital twin enabled sustainable urban road planning. Sustainable Cities and Society , 78 , Article 103645. 10.1016/j.scs.2021.103645. Green open access

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Abstract

Sustainable urban road planning should endeavor to meet current and future traffic-related demands and achieve financial, environmental, and social benefits, which is a complex and interdisciplinary issue that needs to consider various factors and data. Multi-criteria decision making (MCDM) can provide reasonable solutions, and some existing studies integrated MCDM with geographic information system (GIS) technology. This paper presents an urban road planning approach based on digital twin (DT), MCDM, and GIS called DT-MCDM-GIS framework. DT can digitalize the physical world to provide various data for the whole process; MCDM can provide criteria and evaluation methods; GIS can provide an integrated environment for analysis. Building demolition and land use, traffic congestion, driving route selection habits, air quality, and noise are all considered in the framework for urban road planning. The proposed approach can provide a functional, economic, people-friendly, eco-friendly urban road planning scheme considering new road construction and existing old road widening to alleviate traffic congestion and provide an alternative route for drivers that conforms to their habits.

Type: Article
Title: Digital twin enabled sustainable urban road planning
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.scs.2021.103645
Publisher version: https://doi.org/10.1016/j.scs.2021.103645
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Sustainable urban road planning, Digital twin, MCDM, Alignment selection, Building demolition, Land use, Traffic congestion, Driving route selection habits, Air quality, Noise
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10141074
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