A multilevel method to assess and design the renovation and integration of Smart Cities

Mattoni, Benedetta; Gugliermetti, Franco; Bisegna, Fabio

doi:10.1016/j.scs.2014.12.002

Cited by 156 publications

(74 citation statements)

References 2 publications

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“…It was developed in the context of the study of the spatial organization of brain functions [2,38,39]. It allows researchers to explore large and highly dimensional datasets by transferring the dataset into a lower dimensional (usually one-or two-dimensional) output map while maintaining the original topological relations and, thus, enables decision maker to visualize the relationships among the input datasets [40,41].…”

Section: Sommentioning

confidence: 99%

“… Business: Smart cities do not seek for economic growth only. However, it is undeniable that sustainable economic growth and knowledge-based industries are two major components of smart cities [13,38]. We use the per capita GDP and the proportion of GDP tertiary industry account for to measure the business factor of the selected cities.…”

Section: Database and Indicatorsmentioning

confidence: 99%

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The Performance of the Smart Cities in China—A Comparative Study by Means of Self-Organizing Maps and Social Networks Analysis

Tian

Liu

et al. 2015

Sustainability

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Smart cities link the city services, citizens, resource and infrastructures together and form the heart of the modern society. As a "smart" ecosystem, smart cities focus on sustainable growth, efficiency, productivity and environmentally friendly development. By comparing with the European Union, North America and other countries, smart cities in China are still in the preliminary stage. This study offers a comparative analysis of ten smart cities in China on the basis of an extensive database covering two time periods: 2005-2007 and 2008-2010. The unsupervised computational neural network self-organizing map (SOM) analysis is adopted to map out the various cities based on their performance. The demonstration effect and mutual influences between these ten smart cities are also discussed by using social network analysis. Based on the smart city performance and cluster network, current problems for smart city development in China were pointed out. Future research directions for smart city research are discussed at the end this paper.

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Section: Sommentioning

confidence: 99%

Section: Database and Indicatorsmentioning

confidence: 99%

The Performance of the Smart Cities in China—A Comparative Study by Means of Self-Organizing Maps and Social Networks Analysis

Tian

Liu

et al. 2015

Sustainability

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“…Studies such as the one carried out by Mirakyan and De Guio [5] identify the necessity of evaluating city energy planning in an integrated way, combined with territorial planning. Another study carried out by Mattoni et al [6], also proposes an approach to cities and territories combining the district scale, the city scale, and the regional scale. It can be said that city energy planning process is still complex due to the lack of consensus on the way to assess and prioritise different alternatives under a common framework.…”

Section: Introductionmentioning

confidence: 99%

Long Term Energy Transition Scenario Analysis for the City of Donostia

Arrizabalaga

Hernández

Portillo

2018

The Sustainable Places 2017 (SP2017) Conference

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Abstract:The direction adopted for the energy transitions towards a low carbon future will have long lasting implications in other aspects beyond the Climate Change. However, cities are becoming increasingly complex and a detailed knowledge is required for a long-term energy planning, which is frequently not available in city decision making processes. This paper describes a multi-criteria ex-ante impact assessment methodology developed for the building sector energy planning, which combines energy modelling and life cycle analysis with the regional macroeconomic analysis through the supply chain evaluation. The methodology is applied to the city of Donostia, demonstrating the importance of simultaneously considering various potentially conflicting criteria for the prioritization of scenarios.

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“…Recent academic contributions recognize the need for developing more integrated and holistic approaches to SCs [1,2]. In fact, the SC concept is evolving from the simple inclusion of technology in the city to the development of solutions to urban challenges in an interconnected and synergic manner; however, little real progress can be observed in this direction [3,4].…”

Section: Introductionmentioning

confidence: 99%

How to Incorporate Urban Complexity, Diversity and Intelligence into Smart Cities Initiatives

et al. 2016

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Abstract. Under the term "Smart City", numerous technology-based initiatives are emerging to help cities face contemporary challenges while the concept itself is evolving towards a more holistic approach. Nevertheless, the capability of smart initiatives to provide an integrated vision of our cities is still very limited. Eventually, many of these initiatives fail to understand the complexity, diversity and intelligence that characterize contemporary cities. The purpose of this paper is to display an urban functional system, capable of interpreting the city in a more holistic way and of facilitating effective involvement of local stakeholders in the planning process of SCs initiatives.

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A multilevel method to assess and design the renovation and integration of Smart Cities

Cited by 156 publications

References 2 publications

The Performance of the Smart Cities in China—A Comparative Study by Means of Self-Organizing Maps and Social Networks Analysis

The Performance of the Smart Cities in China—A Comparative Study by Means of Self-Organizing Maps and Social Networks Analysis

Long Term Energy Transition Scenario Analysis for the City of Donostia

How to Incorporate Urban Complexity, Diversity and Intelligence into Smart Cities Initiatives

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