Chen, Po Nien; Karimi, kayvan; (2022) Analysis and Modelling of the Multilevel Transport Network: The Metro and Railway System in Greater London. In: Feliciotti, Alessandra and Fleischmann, Martin, (eds.) ISUF Annual Conference Proceedings of the XXVIII International Seminar on Urban Form: "Urban Form and the Sustainable and Prosperous City". (pp. pp. 354-362). University of Strathclyde: Glasgow, UK.

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Abstract

Transport development has become more and more important among all aspects of urban development in recent years. To accommodate the rising demand for daily travel and commutes, the public transport system, especially the rail system, is considered the better solution for sustainable mobility, instead of the road system for vehicles. Studies in urban morphology usually focus on the model of urban form without concerning the multi-dimensional network of public transport, whereas transport planning and engineering emphasise the capacity and travel demand within the road network, which disregards the spatial effect of the urban form. This research aims to bridge the gap between these two disciplines by developing an Integrated Urban Model (IUM), which combined various layers of urban information and dataset, including spatial network, land use and census. It seeks to identify the complex interrelationship between urban form networks and the socio-economic community by the synthetic analysis of the IUM. A multilevel multimodal network model has been built for the case of Greater London to combine the street network with the Metro/Rail network to investigate the network accessibility. In addition, this study applied space syntax theory and methodology as the primary approach to reveal the potential flow and movement pattern of the multilevel multimodal network. The result indicated that the multilevel network model with space syntax accessibility measurements could provide an interpretative overview of spatial distribution in both global and local scales. The IUM also allowed the spatial impact of public transport network to be uncovered through geodatabase modelling and spatial analysis.

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