Evaluation of cities’ smartness by means of indicators for small and medium cities and communities: A methodology for Northern Italy

Dall’O’, Giuliano; Bruni, Elisa; Panza, Angela; Sarto, Luca; Khayatian, Fazel

doi:10.1016/j.scs.2017.06.021

Cited by 87 publications

(46 citation statements)

References 19 publications

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“…In developing the architecture, we were inspired by the “urban smartness” approach suggested in [79]. It represents a set of processes, features and technologies that are required to make a “Smart City”.…”

Section: Methodsmentioning

confidence: 99%

Hadoop Oriented Smart Cities Architecture

Dıaconıța

Bologa

2018

Sensors

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A smart city implies a consistent use of technology for the benefit of the community. As the city develops over time, components and subsystems such as smart grids, smart water management, smart traffic and transportation systems, smart waste management systems, smart security systems, or e-governance are added. These components ingest and generate a multitude of structured, semi-structured or unstructured data that may be processed using a variety of algorithms in batches, micro batches or in real-time. The ICT architecture must be able to handle the increased storage and processing needs. When vertical scaling is no longer a viable solution, Hadoop can offer efficient linear horizontal scaling, solving storage, processing, and data analyses problems in many ways. This enables architects and developers to choose a stack according to their needs and skill-levels. In this paper, we propose a Hadoop-based architectural stack that can provide the ICT backbone for efficiently managing a smart city. On the one hand, Hadoop, together with Spark and the plethora of NoSQL databases and accompanying Apache projects, is a mature ecosystem. This is one of the reasons why it is an attractive option for a Smart City architecture. On the other hand, it is also very dynamic; things can change very quickly, and many new frameworks, products and options continue to emerge as others decline. To construct an optimized, modern architecture, we discuss and compare various products and engines based on a process that takes into consideration how the products perform and scale, as well as the reusability of the code, innovations, features, and support and interest in online communities.

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Section: Methodsmentioning

confidence: 99%

Hadoop Oriented Smart Cities Architecture

Dıaconıța

Bologa

2018

Sensors

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“…The indicators mainly assess the cities based on eight aspects: broadband region, smart mobility, smart health, smart education, smart management, smart energy, energy efficiency, and natural resources. Moreover, a smart city evaluation system suitable for small and medium cities was established by Dall'O' et al (2017). The indicators were selected based on the ISO 37120 standard, and the study emphasized the importance of environmental indicators such as sustainable energy [30].…”

Section: Smart City Evaluationmentioning

confidence: 99%

“…Moreover, a smart city evaluation system suitable for small and medium cities was established by Dall'O' et al (2017). The indicators were selected based on the ISO 37120 standard, and the study emphasized the importance of environmental indicators such as sustainable energy [30].…”

Section: Smart City Evaluationmentioning

confidence: 99%

Evaluation System: Evaluation of Smart City Shareable Framework and Its Applications in China

Dai

Liu

et al. 2020

Sustainability

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Smart city evaluation is a critical component in smart city construction and plays an important role in guiding and promoting smart development of cities. Currently, existing research and applications of smart city evaluation are still in the exploration stage. They mainly focus on evaluation of one single aspect, use indicators with distinct regional characteristics and poor extensibility, and cannot be well-integrated with common and shareable smart city frameworks; these limitations have led to biased evaluation results. Based on a common and shareable smart city framework, this paper proposes a well-integrated, universal, strongly practical, and highly extensible evaluation system. Then, using the above-mentioned evaluation system, 17 smart cities in China are assessed. This application demonstrates that the evaluation system plays an important guiding role for better understanding the overall smart city platform construction situation in China, performing horizontal comparisons and establishing benchmarks among smart cities. Comparative analyses of indicators demonstrate that future smart city construction in China should pay more attention to novel innovations, the construction of dynamic information resources and spatiotemporal big data.

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“…He (2017) construct an evaluation index system based on the Analytic Hierarchy Process which is suitable to Chinese conditions. Moreover Dall'O' , Bruni, Panza, Sarto, and Khayatian (2017) create a methodology for assessing smartness used for medium and small cities in northern Italy. In scientific literature there are a lot of methods to measure a smart city.…”

Section: Background Literaturementioning

confidence: 99%

The Smartness Profile of Selected European Cities in Urban Management – A Comparison Analysis

Hajduk

2019

Journal of Business Economics and Management

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The smart cities concept plays an important role in urban management worldwide as well as should be implemented with the participation of residents and with consideration for their needs. This study examines an analysis of the smartness diversity of European cities on the basis of the International Organization for Standardization 37120 norm dealing with sustainable development of communities. Cities with a higher level of certification exhibit more effective management and their residents show greater commitment to civic life. The assessment of the level of smartness was based on statistics collected by the World Council on City Data using Multidimensional Comparative Analysis. Hellwig’s (1968) synthetic indicators were used to create a ranking gauging the level of smartness of European cities which were classified into four groups. The investigation shows large disparities in the smartness of selected European cities.

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Evaluation of cities’ smartness by means of indicators for small and medium cities and communities: A methodology for Northern Italy

Cited by 87 publications

References 19 publications

Hadoop Oriented Smart Cities Architecture

Hadoop Oriented Smart Cities Architecture

Evaluation System: Evaluation of Smart City Shareable Framework and Its Applications in China

The Smartness Profile of Selected European Cities in Urban Management – A Comparison Analysis

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