Effective policies to overcome barriers in the development of smart cities

Razmjoo, Armin; Østergaard, Poul Alberg; Denaï, Mouloud; Nezhad, Meysam Majidi; Mirjalili, Seyedadli

doi:10.1016/j.erss.2021.102175

Cited by 78 publications

(32 citation statements)

References 76 publications

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“…The most important challenge in adopting AI and the IoT to achieve a large competitive factor in a sustainable smart city was "Insufficient funds or capital (C2)", with the greatest D-R score of 1.422, implying that (C2) should be given greater emphasis in the entire system of IoT and AI implementation when designing an advanced city. This finding held true because recent studies have identified the unavailability of funds or financial resources as a major constraint for smart city transformation projects [69,332]. Furthermore, Table 9 reveals that the important effect degree of (C1) was 10.462, which ranked second-highest among all causative factors.…”

Section: Resultsmentioning

confidence: 72%

Analyzing the Adoption Challenges of the Internet of Things (IoT) and Artificial Intelligence (AI) for Smart Cities in China

Wang

Zhao²,

Gangadhari

et al. 2021

Sustainability

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Smart cities play a vital role in the growth of a nation. In recent years, several countries have made huge investments in developing smart cities to offer sustainable living. However, there are some challenges to overcome in smart city development, such as traffic and transportation management, energy and water distribution and management, air quality and waste management monitoring, etc. The capabilities of the Internet of Things (IoT) and artificial intelligence (AI) can help to achieve some goals of smart cities, and there are proven examples from some cities like Singapore, Copenhagen, etc. However, the adoption of AI and the IoT in developing countries has some challenges. The analysis of challenges hindering the adoption of AI and the IoT are very limited. This study aims to fill this research gap by analyzing the causal relationships among the challenges in smart city development, and contains several parts that conclude the previous scholars’ work, as well as independent research and investigation, such as data collection and analysis based on DEMATEL. In this paper, we have reviewed the literature to extract key challenges for the adoption of AI and the IoT. These helped us to proceed with the investigation and analyze the adoption status. Therefore, using the PRISMA method, 10 challenges were identified from the literature review. Subsequently, determination of the causal inter-relationships among the key challenges based on expert opinions using DEMATEL is performed. This study explored the driving and dependent power of the challenges, and causal relationships between the barriers were established. The results of the study indicated that “lack of infrastructure (C1)”, ”insufficient funds (C2)”, “cybersecurity risks (C3)”, and “lack of trust in AI, IoT” are the causal factors that are slowing down the adoption of AI and IoT in smart city development. The inter-relationships between the various challenges are presented using a network relationship map, cause–effect diagram. The study’s findings can help regulatory bodies, policymakers, and researchers to make better decisions to overcome the challenges for developing sustainable smart cities.

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Section: Resultsmentioning

confidence: 72%

Analyzing the Adoption Challenges of the Internet of Things (IoT) and Artificial Intelligence (AI) for Smart Cities in China

Wang

Zhao²,

Gangadhari

et al. 2021

Sustainability

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“…Furthermore, this understanding could be seen as a direct response to the excesses of surveillance capitalism (particularly among the U.S. cities belonging to the CCDR) and as active claims to 'the right to have digital rights' by fellow citizens. This conclusion is remarkable and novel by contrasting with the current literature on comparative research on smart cities insofar as digital rights-related aspects are clearly overlooked [123][124][125][126][127][128][129]. Primary research showed the post-GDPR influence in cities such as Porto, Amsterdam, London, Vienna, Milan, Barcelona, and Glasgow.…”

Section: Discussionmentioning

confidence: 81%

The Right to Have Digital Rights in Smart Cities

Calzada

2021

Sustainability

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New data-driven technologies in global cities have yielded potential but also have intensified techno-political concerns. Consequently, in recent years, several declarations/manifestos have emerged across the world claiming to protect citizens’ digital rights. In 2018, Barcelona, Amsterdam, and NYC city councils formed the Cities’ Coalition for Digital Rights (CCDR), an international alliance of global People-Centered Smart Cities—currently encompassing 49 cities worldwide—to promote citizens’ digital rights on a global scale. People-centered smart cities programme is the strategic flagship programme by UN-Habitat that explicitly advocates the CCDR as an institutionally innovative and strategic city-network to attain policy experimentation and sustainable urban development. Against this backdrop and being inspired by the popular quote by Hannah Arendt on “the right to have rights”, this article aims to explore what “digital rights” may currently mean within a sample consisting of 13 CCDR global people-centered smart cities: Barcelona, Amsterdam, NYC, Long Beach, Toronto, Porto, London, Vienna, Milan, Los Angeles, Portland, San Antonio, and Glasgow. Particularly, this article examines the (i) understanding and the (ii) prioritisation of digital rights in 13 cities through a semi-structured questionnaire by gathering 13 CCDR city representatives/strategists’ responses. These preliminary findings reveal not only distinct strategies but also common policy patterns.

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“…As well, Adabre et al ( 2020) observed that it is imperative to deliberate on the environmental, social, economic, and institutional involvement for positive results while gaining the attention of SHA. Against this backdrop, this study examines SHA through technological, institutional, economic, social, and environmental themes as reported by Boamah, 2010, Jamaludin et al (2018), Adabre et al, 2020, andRazmjoo et al, 2021). On this premises, the sustainable approaches to tackle low-income groups' housing affordability issues in Nigeria will be discussed following the mentioned themes that cohere with previous studies.…”

Section: Sustainable Housing Affordability (Sha)mentioning

confidence: 73%

Low-Income Earners Housing Affordability Issues in Nigeria: A Systematic Review of Sustainable Approaches

Odifiri¹,

Emeana²,

Musa³

et al. 2022

ijird

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Studies have revealed that the proportion of persons displaced owing to housing is growing significantly. This affects developing countries like Nigeria and other similar African countries. Low-income earners (LIEs) are observed to be severely afflicted by this global threat. The LIEs who are said to account for more than 90 percent of Nigeria's population have been alleged to live in slums, blighted areas, and unplanned settlements. This study investigates sustainable approaches to addressing LIEs' housing affordability issues in Nigeria. This study is based on a systematic review of relevant literature, and its findings show that sustainable options for addressing Nigerian LIEs' housing affordability difficulties are examined using technological, institutional, economic, social, and environmental approaches to sustainable housing affordability (SHA). This paper urges the government, stakeholders, policymakers, and property developers in Nigeria and other developing nations to implement sustainable housing policies for low-income housing affordability. It contributes to the frontiers of knowledge by providing helpful information on low-income housing provision, challenges of affordability, sustainability, and management approaches, and at the same time, gives direction to research interest on low-income housing in Nigeria and other developing countries.

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Effective policies to overcome barriers in the development of smart cities

Cited by 78 publications

References 76 publications

Analyzing the Adoption Challenges of the Internet of Things (IoT) and Artificial Intelligence (AI) for Smart Cities in China

Analyzing the Adoption Challenges of the Internet of Things (IoT) and Artificial Intelligence (AI) for Smart Cities in China

The Right to Have Digital Rights in Smart Cities

Low-Income Earners Housing Affordability Issues in Nigeria: A Systematic Review of Sustainable Approaches

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