Intelligent cities: Variable geometries of spatial intelligence

Komninos, Nicos

doi:10.1080/17508975.2011.579339

Cited by 235 publications

(161 citation statements)

References 12 publications

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“…The first scientific publication to introduce the term smart city dates back more than 20 years ago (Komninos 2011;Schaffers et al 2011), but a common definition capable of explaining its meaning is still missing. A multitude of interpretations can be found in scholarly literature (e.g., Allwinkle and Cruickshank 2011;Batty et al 2012;Caragliu et al 2011;Dirks and Keeling 2009;Giffinger et al 2007;Harrison et al 2010;Manville et al 2014;Washburn et al 2010), and this condition has generated an extremely confused scenario (Hollands 2008).…”

Section: Introductionmentioning

confidence: 99%

“…In the literature produced to date, there is an evident lack of explicit and holistic procedures that can be used to guide the actors involved in the development of smart city strategies towards successful results (Abdoullaev 2011;Angelidou 2014;Chourabi et al 2012;Frei et al 2012;GSMA et al 2011;Hollands 2008;Komninos 2011;Nam and Pardo 2011b). This consideration is valid for any type of city, whether small, medium, or large in size, precisely as observed by Kitchin (2014): "presently [research on smart cities] has four shortcomings [including] an absence of in-depth empirical case studies of specific smart city initiatives and comparative research that contrasts smart city developments in different locales".…”

Section: Introductionmentioning

confidence: 99%

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How to Become a Smart City: Learning from Amsterdam

Mora¹,

Bolici²

2016

Green Energy and Technology

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This exploratory study has been carried out to better understand the development process of strategies that allow large European cities to become smart. This aim is achieved through the analysis of the Amsterdam's smart city strategy. By using case study research with a descriptive approach, the activities undertaken during the implementation of this successful initiative have been mapped and organized in a step-by-step roadmap. This made it possible to obtain a detailed description of the entire development process, useful knowledge to consider for other similar initiatives, and a conceptual framework for future comparative research. All these results will support the construction of a holistic and empirically valid theory able to explain how to build effective smart city strategies in this type of urban area.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

How to Become a Smart City: Learning from Amsterdam

Mora¹,

Bolici²

2016

Green Energy and Technology

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“…Following this idea, the research drives to four possible dimensions [1]. The first dimension focuses on the application of electronic and digital technologies and devices, in order to collect and create digital information, which will produce knowledge based on city's scale approach.…”

Section: Main General Featuresmentioning

confidence: 99%

Soft Mobility as a Smart Condition in a Mountain City

Virtudes

Azevedo

Abbara

et al. 2017

IOP Conf. Ser.: Mater. Sci. Eng.

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Abstract. Nowadays soft mobility is a crucial issue towards a most sustainable urban environment. Not only because it promotes a less polluted atmosphere among the always dense and busy urban fabric, but also because it avoids several traffic problems. The use of bicycles, or mechanic mechanisms to support the pedestrian mobility is an emerging requirement of cities' quality. In this sense, this article aims to discuss the soft mobility as a requirement of smart cities having as a case study one mountain urban area. It refers to the urban area of Covilhã on the highest mountain of Portugal with nearly two thousand meters high. During the last decades, this city's transformation process has driven to an urban sprawl to the suburbs, increasing the efforts in terms of transportation required by the commuters. In fact, the number of inhabitants living in the city centre is decreasing in favour of the peripheral neighbourhoods. At the same time a set of several mechanic mechanisms such as public lifts, has been built in order to promote a soft pedestrian mobility. However, in many cases, because of the lack of connection and continuity of pedestrian paths in between these mechanisms, they are not allowing a pedestrian mobility network at the city scale. Thus, this paper aims to present a set of good practices in terms of pedestrian mobility network at the city scale, in order to promote a smarter urban environment. The principal results are that soft mobility is a key issue in order to turn cities smarter, among several other factors such as smart economy, smart people, smart governance or smart living. The major conclusions show that the concerns with mobility are key tools to achieve the smart city sustainability, providing and efficient and flexible traveling across the urban fabric, boosting the use of non-polluting ways of mobility. At the same time, there is the conclusion that the underlying areas of development for a smart city, despite its cultural or territorial environments, include several aspects such as reducing the transportation problems as congestion, traffic jams or painful accidents.

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“…Smart cities are making use of knowledge and creativity to stimulate innovations, which help to better respond to the social and economic needs of the people [1][2][3]. In addition to information technologies, appropriate framework conditions are required to support the development of smart cities, for example, through optimal use of institutions, which are present in large cities anyway.…”

Section: Introductionmentioning

confidence: 99%

“…The analysis allows some conclusions regarding the relevant framework conditions, also those, which can be modified. The ultimate purpose of this investigation is, thus, to provide some ideas on the concept of a smart institution, or a smart infrastructure, of relevance for a smart city [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Smart Institutions for Smart Cities

Wiesmeth

Fiala

Stegareva

et al. 2018

IOP Conf. Ser.: Earth Environ. Sci.

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Abstract. Smart cities employ creativity of the population for innovations supporting social and economic development. In this context, this paper explores the role of framework conditions on special supply effects of university hospitals, which can invite further research institutions for intense collaboration, thereby stimulating innovations. The case study, comparing a hospital in Russia with one in Germany, is based on the concept of the employment multiplier. The results show that exogenously given, but, more importantly, also modifiable framework conditions lead to large differences regarding the employment multiplier. Thus, it should be the concern of smart cities to make smart use of their institutions, such as university hospitals, by adjusting the conditions, under which they are operating.

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Intelligent cities: Variable geometries of spatial intelligence

Cited by 235 publications

References 12 publications

How to Become a Smart City: Learning from Amsterdam

How to Become a Smart City: Learning from Amsterdam

Soft Mobility as a Smart Condition in a Mountain City

Smart Institutions for Smart Cities

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