Understanding big data and data protection measures in smart city strategies: An analysis of 28 cities

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F24%3A50022062" target="_blank" >RIV/62690094:18450/24:50022062 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216275:25410/24:39922266

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S2664328624000615?pes=vor&utm_source=scopus&getft_integrator=scopus" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2664328624000615?pes=vor&utm_source=scopus&getft_integrator=scopus</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.ugj.2024.12.008" target="_blank" >10.1016/j.ugj.2024.12.008</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Understanding big data and data protection measures in smart city strategies: An analysis of 28 cities

Popis výsledku v původním jazyce

The Smart City concept aims to improve urban governance and optimize public services, ultimately enhancing the quality of life for citizens. As data generation and processing grow rapidly in volume, velocity, and variety, Smart Cities must integrate secure big data considerations into their strategic frameworks and project implementations. This paper explores how big data and data protection measures are represented in the strategies of 28 cities worldwide. To achieve this, we employed a three-phase research methodology: 1) identifying resources, 2) conducting content analysis, and 3) using the Delphi method. Our findings indicate that only half of the cities explicitly address big data in their strategies, and most lack adequate data protection measures. Additionally, the paper presents a list of recommendations for big data management and data protection, derived from measures found in Smart City strategies and validated by domain experts through the Delphi method. These recommendations aim to enhance understanding of how to effectively incorporate big data and its protection into urban planning and Smart City projects. However, it is important to note that these insights primarily apply to larger urban areas with abundant resources. © 2024 The Author(s)

Název v anglickém jazyce

Understanding big data and data protection measures in smart city strategies: An analysis of 28 cities

Popis výsledku anglicky

The Smart City concept aims to improve urban governance and optimize public services, ultimately enhancing the quality of life for citizens. As data generation and processing grow rapidly in volume, velocity, and variety, Smart Cities must integrate secure big data considerations into their strategic frameworks and project implementations. This paper explores how big data and data protection measures are represented in the strategies of 28 cities worldwide. To achieve this, we employed a three-phase research methodology: 1) identifying resources, 2) conducting content analysis, and 3) using the Delphi method. Our findings indicate that only half of the cities explicitly address big data in their strategies, and most lack adequate data protection measures. Additionally, the paper presents a list of recommendations for big data management and data protection, derived from measures found in Smart City strategies and validated by domain experts through the Delphi method. These recommendations aim to enhance understanding of how to effectively incorporate big data and its protection into urban planning and Smart City projects. However, it is important to note that these insights primarily apply to larger urban areas with abundant resources. © 2024 The Author(s)

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

20701 - Environmental and geological engineering, geotechnics

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Urban Governance

ISSN

2664-3286

e-ISSN

2667-3800

Svazek periodika

4

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

CN - Čínská lidová republika

Počet stran výsledku

19

Strana od-do

255-273

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85212209691