It analyses how both the technologies and the ideas smart cities are built on, oust trust and the rule of law as two important … Expand. Smart Cities in Europe. Urban performance currently depends not only on a city's endowment of hard infrastructure physical capital , but also, and increasingly so, on the availability and quality of knowledge communication … Expand.
View 1 excerpt, references background. Will the real smart city please stand up? Debates about the future of urban development in many Western countries have been increasingly influenced by discussions of smart cities. Highly Influential. View 10 excerpts, references background and methods.
Creating Smart-er Cities: An Overview. View 2 excerpts, references background and methods. Modelling the smart city performance. This article addresses the question as to why, in contrast to national governments, city administrations engage so enthusiastically with urban environmental problems.
It argues that the politics of … Expand. View 4 excerpts, references background. Networked infrastructures, technological mobilities, and the urban condition.
The following text is taken from the publisher's website: "Splintering Urbanism offers a path-breaking analysis of the nature of the urban condition at the start of the new millennium.
Adopting a … Expand. The need to measure smart city arises at least for two reasons: to be able to establish the smartness of a city in relation to the other cities and, more importantly, to identify smart features in which the city lags in order to target for improvement for the city.
Unfortunately, the mainstream framework is quite problematic to use. The main challenge lies in meeting the requirements of the data it needs. This situation arises mainly because of the data requirements. Not only the process is tedious but can also be problematic given the nature of the data it requires. This is particularly when some of these data reside within private domain and is not released to the public, or that they are unavailable simply because they have yet to be collected.
This paper discusses an alternative framework for assessing city smartness performance, one that provides a more heuristic approach to such exercise. It intends to illustrate how this approach could offer a simpler computational methodology through lower qualitative requirement on input data for assessing the Smart City performance of three 3 Smart Cities, namely Seoul, Singapore and Iskandar Malaysia.
The selection of the Smart Cities was guided by the aim to compare existing Smart City achievements in Malaysia with other Smart Cities in the neighbouring region. Whilst there are obvious socio- economic, political, geographic and environmental differences, Malaysia has more in common with Korea and Singapore compared to Western countries. In doing so, the study of the Smart City achievements would be more meaningful as it is framed against the context, rather than exists in a standalone framework.
The smart city is then regarded as an urban laboratory, an urban innovation ecosystem, a living lab, an agent of change Schaffers et. While defining smart city remains an unresolved issue, researchers seem to go along well with the idea of six dimensions to a smart city, as propounded by Giffinger. According to the idea, the six smart city dimensions are smart economy, smart people, smart governance, smart mobility, smart environment and smart living.
These dimensions were constituted as indicators for city smartness, to indicate the extent to which a city is smart. To develop the instrument to gauge the smartness of a city, Giffinger proceeded to construct criteria and indicators based on these six dimensions and, in the process, derived seventy four 74 assessment indicators. The reader is referred to Giffinger et.
For example, under smart environment, the required data includes CO2 emission, hours of sunshine and level of particulate matter. A number of authors have adopted this approach including Carli et. The mainstream approach above requires the availability of rich datasets, whether from the authorities or the private sectors.
This may work well with cities in developed countries but can be a major problem elsewhere, particularly in less developed economies. Data is not available simply because no authoritative body or agency is made responsible to collect such information so far, or that such information cannot be accessed for being private and confidential. As this study has discovered, the constraint on data severely limits the utility of the mainstream approach for assessing cities for smartness comparison, even when the cities lie within the same region.
Rather than work with fixed indicators, this approach examines initiatives undertaken to make a city smart and proceeds to analyse the initiatives qualitatively. Data on the initiatives is extracted from government reports, official websites and government online publications.
Chichester: Wiley. Harvey, D. Berkeley Ca : University of California Press. Hjerpe, M. Hollands, R. Intelligent, progressive or entrepreneurial? Jonas, A. Looking for spaces of sustainability politics in the competitive city, in: R.
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Minton, A. London: Penguin. Newman, P. Responding to Peak Oil and Climate Change. Washington: Island. Osborne, T. Paterson, M. Peck, J. Petersen, A. Health and Self in the Age of Risk. Raco, M. Rich, E. Rich, L. Monaghan and L. Aphramor eds. Critical Perspectives pp. New York: Palgrave Macmillan. Rose, N. Cambridge: Cambridge University Press. Short, J. Harlow: Pearson. For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact:.
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