Abstract
Sustainable urban road planning necessitates the formulation of functional, economic, people-friendly, eco-friendly, and engineering-reasonable road schemes within the confines of limited urban space. It is challenging to meet traffic demands, stimulate economic growth, foster social progress, and minimize adverse impacts on the social and natural environment. This study proposes a comprehensive approach for sustainable urban road planning, employing the Digital Twin-MCDM-GIS framework. Digital twins play a pivotal role in converting diverse factors into comprehensible expressions. MCDM (multi-criteria decision making) evaluates and assigns weights to these multidisciplinary factors. GIS (geographic information system) offers an integrated digital space for analysis. Various digitalisation and parsing methods, including direct assignment methods, spatial analysis methods, and complex professional methods, are introduced for traffic, development, cost, social, environmental, and engineering factors. By assigning distinct weights to these factors, diverse raster data are established to generate multiple road schemes using the least-cost wide path analysis. To validate the proposed approach, a case study was conducted in the London Borough of Bromley, resulting in the generation of 14 road schemes with varying widths and factor considerations in limited urban space.
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