Comparing Smart Cities with different modeling approaches

Ανθόπουλος, Λεωνίδας; Janssen, Marijn; Weerakkody, Vishanth

doi:10.1145/2740908.2743920

Cited by 79 publications

(35 citation statements)

References 17 publications

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“…Among the problems these studies surely encounter are the incomplete availability of data, and the difficulty of weighing indicators with different units of measure, and combining them to obtain a single indicator [41]. There are a growing number of studies in the literature that present benchmarking methods and analyses that compare various methodologies, to verify which major investments in the field of smart cities are optimal [42,43].…”

Section: Evaluation Processes For Sustainable Urban Developmentmentioning

confidence: 99%

Urban Policies and Mobility Trends in Italian Smart Cities

2017

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This study uses indicators to evaluate the progress made by Italian cities in the smart mobility sector, in order to understand how these cities have approached the new guidelines imposed by the European Union, and how they have implemented the European changes. Specifically, this study analyses the evolution of public transportation systems, using a sample of twenty-two Italian cities for three successive time periods (2005, 2010, and 2015). The outcomes identified are then linked to funding provided for the implementation of projects related to smart mobility in the cities studied, in order to verify possible correlations between the growth of these services and European and national financial investments. The data analysis shows remarkable progress in the field of sustainable mobility, especially between 2010 and 2015 as well as how this progress is linked to significant financial support that favours the realization of projects related to smart mobility.

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Section: Evaluation Processes For Sustainable Urban Developmentmentioning

confidence: 99%

Urban Policies and Mobility Trends in Italian Smart Cities

2017

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“…2. Many schools for thought were activated to define the smart city and multiple models have been composed [5];…”

Section: Technological Competition: Research and Developmentmentioning

confidence: 99%

Smart City and Smart Government

Ανθόπουλος

Reddick

2016

Proceedings of the 25th International Conference Companion on World Wide Web - WWW '16 Companion

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Smart City is an emerging and multidisciplinary domain. It has been recently defined as innovation, not necessarily but mainly through information and communications technologies (ICT), which enhance urban life in terms of people, living, economy, mobility and governance. Smart government is also an emerging topic, which attracts increasing attention from scholars who work in public administration, political and information sciences. There is no widely accepted definition for smart government, but it appears to be the next step of e-government with the use of technology and innovation by governments for better performance. However, it is not clear whether these two terms coexist or concern different domains. The aim of this paper is to investigate the term smart government and to clarify its meaning in relationship to the smart city. In this respect this paper performed a comprehensive literature review analysis and concluded that smart government is shown not to be synonymous with smart city. Our findings show that smart city has a dimension of smart government, and smart government uses smart city as an area of practice. The authors conclude that smart city is complimentary, part of larger smart government movement.

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“…An increasing amount of technologies are being added to the field of smart urban management, and new solutions for the organization and commercialization of their work are being sought. 6,7 However, before such ambitious projects can be undertaken, large-scale problems of creation of giant multi-agent networks of cyber-physical systems (CPSs) must be solved. Firstly, a large number of connected devices lead to more demanding safety requirements.…”

Section: Introductionmentioning

confidence: 99%

Robotic Services for New Paradigm Smart Cities Based on Decentralized Technologies

Kapitonov

Lonshakov²,

Berman³

et al. 2019

ledger

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This article describes different methods of organizing robotic services for smart cities using secure encrypted decentralized technologies and market mechanisms—as opposed to models based on centralized solutions based (or not) on using cloud services and stripping citizens of the control of their own data. The basis of the proposed methods is the Ethereum decentralized computer with the mechanism of smart contracts. In this work, special attention is paid to the integration of technical and economic information into one network of transactions, which allows creating a unified way of interaction between robots—the robot economy. Three possible scenarios of robotic services for smart cities based on the economy of robots are presented: unmanned aerial vehicles (UAVs), environmental monitoring, and smart factories. In order to demonstrate the feasibility of the proposed scenarios, three experiments are presented and discussed. Our work shows that the Ethereum network can provide, through smart contracts and their ability to activate programs to interact with the physical world, an effective and practical way to manage robot services for smart cities.

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Comparing Smart Cities with different modeling approaches

Cited by 79 publications

References 17 publications

Urban Policies and Mobility Trends in Italian Smart Cities

Urban Policies and Mobility Trends in Italian Smart Cities

Smart City and Smart Government

Robotic Services for New Paradigm Smart Cities Based on Decentralized Technologies

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