Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.cities.2013.11.004
DC FieldValue
dc.titleA methodological framework for benchmarking smart transport cities
dc.contributor.authorDebnath, A.K.
dc.contributor.authorChin, H.C.
dc.contributor.authorHaque, M.M.
dc.contributor.authorYuen, B.
dc.date.accessioned2014-06-16T09:30:21Z
dc.date.available2014-06-16T09:30:21Z
dc.date.issued2014-04
dc.identifier.citationDebnath, A.K., Chin, H.C., Haque, M.M., Yuen, B. (2014-04). A methodological framework for benchmarking smart transport cities. Cities 37 : 47-56. ScholarBank@NUS Repository. https://doi.org/10.1016/j.cities.2013.11.004
dc.identifier.issn02642751
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/54367
dc.description.abstractBesides responding to challenges of rapid urbanization and growing traffic congestion, the development of smart transport systems has attracted much attention in recent times. Many promising initiatives have emerged over the years. Despite these initiatives, there is still a lack of understanding about an appropriate definition of smart transport system. As such, it is challenging to identify the appropriate indicators of 'smartness'. This paper proposes a comprehensive and practical framework to benchmark cities according to the smartness in their transportation systems. The proposed methodology was illustrated using a set of data collected from 26 cities across the world through web search and contacting relevant transport authorities and agencies. Results showed that London, Seattle and Sydney were among the world's top smart transport cities. In particular, Seattle and Paris ranked high in smart private transport services while London and Singapore scored high on public transport services. London also appeared to be the smartest in terms of emergency transport services. The key value of the proposed innovative framework lies in a comparative analysis among cities, facilitating city-to-city learning. © 2013 Elsevier Ltd.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.cities.2013.11.004
dc.sourceScopus
dc.subjectCity ranking
dc.subjectIntelligent transport system
dc.subjectSmart city
dc.subjectSmartness index
dc.subjectUrban transport
dc.typeArticle
dc.contributor.departmentCIVIL & ENVIRONMENTAL ENGINEERING
dc.contributor.departmentREAL ESTATE
dc.description.doi10.1016/j.cities.2013.11.004
dc.description.sourcetitleCities
dc.description.volume37
dc.description.page47-56
dc.identifier.isiut000331507400004
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