Smart Cities and Sharing Economy

Gori, Paula; Parcu, Pier Luigi; Stasi, Maria Luisa

doi:10.2139/ssrn.2706603

Cited by 34 publications

(14 citation statements)

References 6 publications

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“…The overall aim of a sharing business, which can be both profit-oriented and non-profit oriented, is to improve the use of under-utilized assets and reduce transaction costs. [7], [8], [9] Fintech industry and crypto economy: The key advantage of this technology lies in the fact that it enables the establishment of secured, trusted, and decentralized autonomous ecosystems for various scenarios, especially for better us age of the legacy devices, infrastructure, and resources. [10]…”

Section: Component Potential Applications: Smart Economy -Industrymentioning

confidence: 99%

Blockchain Technology Application Areas in the Smart City Information Systems

Ćirić

Sedlak

Ivanišević³

et al. 2019

Third International Scientific Conference ITEMA Recent Advances in Information Technology, Tourism, Economics, Management and A

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By cross-referencing benefits of blockchain technologies and critical issues and weak points of smart city information systems, one may conclude that blockchain systems are just the right solution for smart city information systems. However, this may not be true and applicable generally let alone universally. Traditional information system requires an increased level of security and availability of service when they have to be exposed to the public and used by the tens of thousands of inhabitants within a city. On the other hand, blockchain technologies offer a completely new combination of technologies to solve security and reliability issues as well as the availability of service and failsafe tolerance. The scope of this work is to analyse literature as well as available use cases to detect areas of a successful application for information systems that are using blockchain in the smart city.

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Section: Component Potential Applications: Smart Economy -Industrymentioning

confidence: 99%

Blockchain Technology Application Areas in the Smart City Information Systems

Ćirić

Sedlak

Ivanišević³

et al. 2019

Third International Scientific Conference ITEMA Recent Advances in Information Technology, Tourism, Economics, Management and A

View full text Add to dashboard Cite

show abstract

“…Mobile crowd sensing also plays a key role in the actualization of smart cities [7]. Cities are considered "smart" when they have among other things: intelligent versatility, smart administration, smart citizens, intelligent economics and intelligent life [8]. Most importantly, such cities should also be able to share data using information and communication technology (ICT) [9].…”

Section: Introductionmentioning

confidence: 99%

Applying Diffie-Hellman Algorithm to Solve the Key Agreement Problem in Mobile Blockchain-based Sensing Applications

Owoh¹,

Mahinderjit²

2019

ijacsa

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Mobile blockchain has achieved huge success with the integration of edge computing services. This concept, when applied in mobile crowd sensing, enables transfer of sensor data from blockchain clients to edge nodes. Edge nodes perform proof-of-work on sensor data from blockchain clients and append validated data to the chain. With this approach, blockchain can be performed pervasively. However, securing sensitive sensor data in a mobile blockchain (client/edge node architecture) becomes imperative. To this end, this paper proposes an integrated framework for mobile blockchain which ensures key agreement between clients and edge nodes using Elliptic Curve Diffie-Hellman algorithm. Also, the framework provides efficient encryption of sensor data using the Advanced Encryption Standard algorithm. Finally, key agreement processes in the framework were analyzed and results show that key pairing between the blockchain client and the edge node is a non-trivial process.

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“…Smart cities and information and communications technology (ICT)-enabled urban sharing 1 boast somewhat similar values and all-encompassing goals and exhibit a potential to contribute to digitally enabled green urbanism (Hollands 2008;McLaren and Agyeman 2015). Gori, Parcu, and Stasi (2015) presented several common features of the sharing economy and smart city concepts. They framed the concepts as innovations led by citizens' and consumers' needs, functioning in well-defined communities, whose aim is to share resources, be it material resources, skills, time or data, through ICTs.…”

Section: Introductionmentioning

confidence: 99%

Urban sharing in smart cities: the cases of Berlin and London

et al. 2018

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Addressing urban sustainability challenges requires changes in the way systems of provision and services are designed, organised and delivered. In this context, two promising phenomena have gained interest from the academia, the public sector and the media: "smart cities" and "urban sharing". Smart cities rely on the extensive use of information and communications technology (ICT) to increase efficiencies in urban areas, while urban sharing builds on the collaborative use of idling resources enabled by ICT in densely populated cities. The concepts have many similar features and share common goals, yet cities with smart city agendas often fail to take a stance on urban sharing. Thus, its potentials are going largely unnoticed by local governments. This article addresses this issue by exploring cases of London and Berlintwo ICT-dense cities with clearly articulated smart city agendas and an abundance of sharing platforms. Drawing on urban governance literature, we develop a conceptual framework that specifies the roles that cities assume when governing urban sharing: city as regulator, city as provider, city as enabler and city as consumer. We find that both cities indirectly support urban sharing through smart agenda programmes, which aim to facilitate ICT-enabled technical innovation and emergence of start-ups. However, programmes, strategies, support schemes and regulations aimed directly at urban sharing initiatives are few. We also find that Berlin is sceptical towards urban sharing organisations, while London took more of a collaborative approach. Implications for policy-makers are discussed in the end.

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Smart Cities and Sharing Economy

Cited by 34 publications

References 6 publications

Blockchain Technology Application Areas in the Smart City Information Systems

Blockchain Technology Application Areas in the Smart City Information Systems

Applying Diffie-Hellman Algorithm to Solve the Key Agreement Problem in Mobile Blockchain-based Sensing Applications

Urban sharing in smart cities: the cases of Berlin and London

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