Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Delineating traffic congestion zones in cities: An effective approach based on GIS
Abstract Identifying congested areas for implementing road pricing is a complicated task, especially as traffic speed and other census data may not be readily available before a detailed feasibility study is commissioned. In this study, we introduce a spatial approach to identify areas with road traffic congestion within cities. The results obtained are validated against the empirical traffic speed data in four Asian cities, i.e. Bangkok, Hong Kong, Kuala Lumpur, Singapore, from 2018 to 2020. Moreover, the findings are also compared with a more detailed conventional method of using job density to identify areas of high traffic congestion. The comparisons show that the spatial approach is both efficient and effective. Through applying the method to London, Milan and Stockholm, the study also demonstrates other potential empirical applications in reviewing the boundaries of existing congestion charging zones.
Highlights A spatial approach in identifying potential road congestion charging zones is provided Validity of the methodology is tested with traffic speed in four Asian cities Effectiveness is compared with another methodology based on job density Potential applications in cities with road congestion charging are discussed
Delineating traffic congestion zones in cities: An effective approach based on GIS
Abstract Identifying congested areas for implementing road pricing is a complicated task, especially as traffic speed and other census data may not be readily available before a detailed feasibility study is commissioned. In this study, we introduce a spatial approach to identify areas with road traffic congestion within cities. The results obtained are validated against the empirical traffic speed data in four Asian cities, i.e. Bangkok, Hong Kong, Kuala Lumpur, Singapore, from 2018 to 2020. Moreover, the findings are also compared with a more detailed conventional method of using job density to identify areas of high traffic congestion. The comparisons show that the spatial approach is both efficient and effective. Through applying the method to London, Milan and Stockholm, the study also demonstrates other potential empirical applications in reviewing the boundaries of existing congestion charging zones.
Highlights A spatial approach in identifying potential road congestion charging zones is provided Validity of the methodology is tested with traffic speed in four Asian cities Effectiveness is compared with another methodology based on job density Potential applications in cities with road congestion charging are discussed
Delineating traffic congestion zones in cities: An effective approach based on GIS
Loo, Becky P.Y. (Autor:in) / Huang, Zhiran (Autor:in)
24.05.2021
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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