Benchmarking, profiling, and ranking of cities

Giffinger, Rudolf; Kramar, Hans

doi:10.4324/9781003096566-4

Cited by 177 publications

(282 citation statements)

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“…As the world population grows and increases urbanization, AI technologies are increasingly being used to improve quality of life: smart traffic [25], intelligent information management [26], and smart health care [27]. Such evolution typically consists of various AI approaches that are widely adopted by city's decision-makers who establish the governing system [28]. AI through intelligent information processing or data analysis can improve data cleaning, data collection, and storage to gain more insight from generated data.…”

Section: Eoretical Background and Hypothesesmentioning

confidence: 99%

The Use of Artificial Intelligence for Smart Decision-Making in Smart Cities: A Moderated Mediated Model of Technology Anxiety and Internal Threats of IoT

Alloulbi¹,

Öz²,

Alzubi³

2022

Mathematical Problems in Engineering

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With the rapid development of artificial intelligence (AI), AI for smart decision-making is attracting a lot of attention, but research on this topic in smart cities is not yet comprehensive. Thus, the current research aimed to examine the direct and indirect (via technology anxiety) relationships between artificial intelligence (AI), technology anxiety, and smart decision-making (SDM). The research article also examines the moderating role of internal threats of IoT on AI and technology anxiety and the relationship between AI and smart decision-making. 614 cross-sectional data gathered from participants from public and private sectors in Turkey were utilized to investigate the aforementioned relationships. The results indicated that AI had a positive influence on smart decision-making. AI contributes negatively to technology anxiety. Technology anxiety has a negative effect on smart decision-making. Technology anxiety partially mediated the direct effect of AI on smart decision-making. The results revealed that internal threats of IoT moderated the negative relationship between AI and artificial intelligence, such that the negative relationship is further strengthened when internal threats of IoT are high. The results also indicated that internal threats of IoT moderated the positive direct relationship between AI and smart decision-making, such that the positive relationship is weakened when internal threats of IoT are high. The findings present crucial practical implications for government and local authorities in building smart cities.

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Section: Eoretical Background and Hypothesesmentioning

confidence: 99%

The Use of Artificial Intelligence for Smart Decision-Making in Smart Cities: A Moderated Mediated Model of Technology Anxiety and Internal Threats of IoT

Alloulbi¹,

Öz²,

Alzubi³

2022

Mathematical Problems in Engineering

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“…The digitisation and interconnection of city structures allow people to become more educated in which the level of knowledge will increase, and there will be favourable conditions to a learning community. Henceforth, Giffinger et al (2007) pointed out the concept as having six key “aspects”, which are (1) smart economy, (2) smart mobility, (3) smart climate, (4) smart people, (5) smart living and (6) smart governance. Nam and Pardo (2011) presented strategic concepts that fit with smart city's three key dimensions, the primary one being technology, then people and institutions.…”

Section: Literature Reviewmentioning

confidence: 99%

The resilient – smart city development: a literature review and novel frameworks exploration

Khatibi

Wilkinson

Baghersad

et al. 2021

BEPAM

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PurposeThis paper aims to develop a framework that could establish and further the terminology of smart city/resilient city discourse in that resilience could support urban “smartness”, a term that is widely argued being not easily measured nor quantifiably assessed.Design/methodology/approachThe qualitative approach was employed, and based on selected keywords, a systematic literature review was carried out to understand the main themes within the smart city and resilient city concepts databases. Upon screening, 86 papers were used and synthesised through the meta-synthesis method using both synthesis approach, meta-aggregation and meta-ethnography that systematically identifies both properties and characteristics, to build an innovative framework as an indicator-based smart/resilience quantification model.FindingsTwo novel frameworks are proposed, smart resilient city (SRC) and resilient smart city (RSC), as guidelines regulatory that establish a city's smartness and resilience.Research limitations/implicationsThe quantitative research phase is not provided as the framework builds on the exploratory approach in which the model is proposed through the postulation of data definitions.Practical implicationsAlthough the study's scope was limited to the city, proposed frameworks may be interpreted for other contexts that deal with the topic of resilience and smart.Originality/valueThe established framework proposal would encourage further exploration in context, serving as an inspiration for other scholars, decision-makers, as well as municipalities to keep strengthening smart city through resilience factors.

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“…In this context, new technologies can play an important role as an enabler for sustainable urban development. Smart cities basically, are supposed to cope with problematic trends endangering sustainability and to improve respective quality standards through intelligent initiatives and projects in corresponding key fields of urban development: smart economy, smart people, smart governance, smart mobility, smart environment, and smart living (Giffinger et al , 2007).…”

Section: Sustainability Accounting and Control For Smart Citiesmentioning

confidence: 99%

Guest editorial

Crutzen

Bockhaven²,

Schaltegger³

et al. 2019

SAMPJ

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Sustainability accounting and control for smart cities Scope of the special issue Making a city "smart" is an emerging approach to mitigate sustainability problems caused by rapid urbanization and urban population growth, and, more globally, to facilitate the transition of cities towards sustainable development (economic prosperity as well as environmental quality and social well-being). In this context, new technologies can play an important role as an enabler for sustainable urban development. Smart cities basically, are supposed to cope with problematic trends endangering sustainability and to improve respective quality standards through intelligent initiatives and projects in corresponding key fields of urban development: smart economy, smart people, smart governance, smart mobility, smart environment, and smart living (Giffinger et al., 2007). An increasing number of publications have discussed the smart city approach for the last recent years (Kummitha and Crutzen, 2017). However, the smart city concept itself is still emerging and the work of defining and conceptualizing is in progress. In addition, the vast majority of these publications focuses on urban and regional planning, governance and behavioral aspects or technology innovation while, from a sustainable development perspective, scholars need to move beyond urban and economic research to embrace management and interdisciplinary perspectives to better understand how these complex systems integrate social, economic, ecological and political subsystems (Ben Letaifa, 2015). The urge for smart city developments as solutions to future urban challenges is accompanied with the need to verify whether these developments have the intended effect. This can be done through the process of accounting, control, performance measurement,

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Benchmarking, profiling, and ranking of cities

Cited by 177 publications

References 0 publications

The Use of Artificial Intelligence for Smart Decision-Making in Smart Cities: A Moderated Mediated Model of Technology Anxiety and Internal Threats of IoT

The Use of Artificial Intelligence for Smart Decision-Making in Smart Cities: A Moderated Mediated Model of Technology Anxiety and Internal Threats of IoT

The resilient – smart city development: a literature review and novel frameworks exploration

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