How smart is mobility in smart cities? An analysis of citizens' value perceptions through ICT applications

Savastano, Marco; Suciu, Marta-Christina; Gorelova, Irina; Stativă, Gheorghe-Alexandru

doi:10.1016/j.cities.2022.104071

Cited by 50 publications

(25 citation statements)

References 42 publications

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“…There are a lot of alternative and innovative transport modes that can be implemented in order to improve and make more efficient the existing (traditional) urban mobility system and thus, has started to be included within the policy agendas of many modern smart cities [19]. Development of the 15-minute city model allows for development of more infrastructure and pedestrian areas, making cities more liveable, walkable, The dissemination of planning tools, such as the SUMP (Sustainable Urban Mobility Plan), provides a set of medium-and long-term strategies by defining different components of individual actions and guidelines for all the parties involved.…”

Section: Literature Reviewmentioning

confidence: 99%

The 15-Minute City Model: The Case of Sicily during and after COVID-19

Basbas¹,

Campisi²,

Papas³

et al. 2023

Communications

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Travel restrictions due to COVID-19 initiated a radical rethink of the urban planning process, focussing on a concept initially proposed by Carlos Moreno in 2016; the "15-Minute City" model, aiming at the improvement of quality of life by creating or rearranging cities so that residents' needs can be reached within 15-minutes on foot or by bicycle or by public transit. In continuation to a research in 2020, this paper quantifies the attractiveness of the model to residents in nine regions of Sicily in 2022. Based on statistical analysis concerning the respondents' opinion, the model examined promotes walking as an anti-stress method and improves the overall health conditions at a community level. Therefore, policy makers can revalue the existing planning process and create a blueprint for a healthier and car-free lifestyle.

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Section: Literature Reviewmentioning

confidence: 99%

The 15-Minute City Model: The Case of Sicily during and after COVID-19

Basbas¹,

Campisi²,

Papas³

et al. 2023

Communications

View full text Add to dashboard Cite

show abstract

“…In this vein, recent literature views smart cities as complex urban ecosystems built to optimize solutions (e.g., operational efficiency and service quality)—enhancing quality of life and addressing societal, economic, institutional, and environmental challenges with intensive use of data (Kutty et al, 2022; Savastano et al, 2023; Yigitcanlar et al, 2018). Issues relating to technology and use of ITs, innovation, interaction and governance, quality of life and sustainability arise in the domain of definitions (Cassinadri et al, 2019; Hamalainen, 2019).…”

Section: Literature Reviewmentioning

confidence: 99%

Smart innovations for sustainable cities: Insights from a public‐private innovation ecosystem

Cambra‐Fierro,

López‐Pérez,

Melero‐Polo

et al. 2023

Corp Soc Responsibility Env

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Over‐urbanization poses important challenges—both for citizen well‐being and quality of life, and for the sustainability of our planet. Traffic, accidents and pollution are just a few of the problems facing people living in cities. The need arises, then, to foster sustainable urban planning and management using, among other elements, smart solutions. In such a context, we would do well to reflect on effective economic, social, and environmental policies aimed at achieving sustainable cities and high quality of life for urban inhabitants. This article presents the most relevant aspects of the #eCity‐Sevilla project, a successful case of a sustainable public‐private innovation ecosystem. To this end, we take the Quintuple Helix Model as our reference, with a view to identify project stakeholders and better understand their relationships and objectives. Our data derives from secondary sources as well as from a set of in‐depth interviews with key informants. In the final section, the main theoretical and practical implications of our study are discussed.

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“…The compact land use in modern cities [2] is not only characterised by a geographically concentrated, high-density pattern of people and businesses in the urban built environment, but also by a spatial concentration of high-quality incubator conditions for new services, especially in our contemporaneous ICT age. Consequently, urban agglomerations and urbanised areas tend to become not only big data engines, but also advanced digital services machines and data factories.…”

Section: Intelligent Data-driven Cities: Towards Platform Citiesmentioning

confidence: 99%

Data-Driven Intelligent Platforms—Design of Self-Sovereign Data Trust Systems

Balan¹,

Tan²,

Kourtit

et al. 2023

Land

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Urban areas provide the seedbed conditions for a variety of agglomeration advantages, including incubator conditions for the ICT sector. This study aims to present the foundations for a data-driven digital architecture based on the notion of open access platform organisations (e.g., platform cities). The principles of coordinated multi-actor data handling and exchange mechanisms centre in particular on privacy and confidentiality regulations. These are highlighted and tested on the basis of the data exchange architecture in a particular Industry 4.0 sector, viz., the medical–pharmaceutical sector. To cope with these issues, self-sovereign data trust systems are designed and tested using an OpenDSU data environment. Several building blocks of this architecture are presented and assessed. The conclusion of this study is that OpenDSU technology offers promising departures for handling privacy-sensitive and confidential data exchange in open platform organisations, such as smart cities.

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How smart is mobility in smart cities? An analysis of citizens' value perceptions through ICT applications

Cited by 50 publications

References 42 publications

The 15-Minute City Model: The Case of Sicily during and after COVID-19

The 15-Minute City Model: The Case of Sicily during and after COVID-19

Smart innovations for sustainable cities: Insights from a public‐private innovation ecosystem

Data-Driven Intelligent Platforms—Design of Self-Sovereign Data Trust Systems

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