scholarly journals Social Inclusion Indicators for Building Citizen-Centric Smart Cities: A Systematic Literature Review

2021 ◽  
Vol 13 (1) ◽  
pp. 376
Author(s):  
Jalaluddin Abdul Malek ◽  
Seng Boon Lim ◽  
Tan Yigitcanlar

Despite the rhetoric of “citizen-first,” which has been tokenized in recent years by the smart city administrations, what it means has long been unclear to many, including the public at large. Put simply, this rhetoric concerns the mindset of the members of a local community and places them at the heart of the smart city initiatives. In order to bring further clarity to this issue under the current neoliberal urbanism, this study aimed to identify the key indicators of citizen-centric smart cities from the perspective of participative governance practices and citizens’ responsibilities. To achieve this aim, this study involved a systematic literature review of the social inclusion indicators for building citizen-centric smart cities. The social inclusion indicators that were formed were verified by practitioners to suit the local contexts of an emerging and developing country, in this case, Malaysia. The findings of the review revealed that: (a) the acceptance of social inclusion indicators was mainly limited to the realm of democratic developed countries, leaders’ understanding of citizenship, the delegation of decision-making power in governance practices, the participative culture of societies, and individual citizens’ self-discipline; (b) the social inclusion indicators may not be welcomed in emerging and developing countries; (c) in the long term, these indicators would shed light on the rise of self-organizing cities that will gain popularity in potential city developments, be it in developed or developing countries.

2020 ◽  
Vol 12 (3) ◽  
pp. 899 ◽  
Author(s):  
Si Tan ◽  
Araz Taeihagh

Smart cities that make broad use of digital technologies have been touted as possible solutions for the population pressures faced by many cities in developing countries and may help meet the rising demand for services and infrastructure. Nevertheless, the high financial cost involved in infrastructure maintenance, the substantial size of the informal economies, and various governance challenges are curtailing government idealism regarding smart cities. This review examines the state of smart city development in developing countries, which includes understanding the conceptualisations, motivations, and unique drivers behind (and barriers to) smarty city development. A total of 56 studies were identified from a systematic literature review from an initial pool of 3928 social sciences literature identified from two academic databases. Data were analysed using thematic synthesis and thematic analysis. The review found that technology-enabled smart cities in developing countries can only be realised when concurrent socioeconomic, human, legal, and regulatory reforms are instituted. Governments need to step up their efforts to fulfil the basic infrastructure needs of citizens, raise more revenue, construct clear regulatory frameworks to mitigate the technological risks involved, develop human capital, ensure digital inclusivity, and promote environmental sustainability. A supportive ecosystem that encourages citizen participation, nurtures start-ups, and promotes public–private partnerships needs to be created to realise their smart city vision.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nimesha Sahani Jayasena ◽  
Daniel W.M. Chan ◽  
Mohan Kumaraswamy

PurposeRising human aspirations leading to rapid urbanisation, amidst climate changes and other environmental pressures have aggravated the needs for better-focused sustainable urban development in general as well as for smart and sustainable cities in particular. Indeed, smart infrastructure (SI) development is a prerequisite for smart cities (SCs). However, inadequate funding and expertise for such SI development pose profound challenges that may be partially addressed by mobilising private finance and efficiencies through collaborative public–private partnership (PPP) models. This paper provides a holistic review and analysis of the relevant literature, as a basis for proposing such PPP models for developing SI.Design/methodology/approachA systematic literature review helped to fulfil the aim of this paper in the first phase of the underlying longer-term study. Authoritative search engines like Scopus and Web of Science indexed articles were reviewed and analysed, 85% of these being journal articles.FindingsSCs that necessarily include SI are important in overcoming current urban challenges in developing and developed countries. Given shortfalls in traditional procurement and funding models, special PPP models are required for SI development. After identifying the relevant needs, drivers, barriers and challenges in different countries, a general indicative framework is developed to illustrate how the various interacting force fields can be harnessed to develop the envisaged PPP models that can complement non-PPP procurement models.Originality/valuePPP for SI development is a relatively new, hence, under-researched topic. This desktop review and analysis provide a useful launching pad for the development of SI through overcoming the potential challenges in traditional procurement and financial models.


Electronics ◽  
2021 ◽  
Vol 10 (23) ◽  
pp. 2997
Author(s):  
Luminita Hurbean ◽  
Doina Danaiata ◽  
Florin Militaru ◽  
Andrei-Mihail Dodea ◽  
Ana-Maria Negovan

Machine learning (ML) has already gained the attention of the researchers involved in smart city (SC) initiatives, along with other advanced technologies such as IoT, big data, cloud computing, or analytics. In this context, researchers also realized that data can help in making the SC happen but also, the open data movement has encouraged more research works using machine learning. Based on this line of reasoning, the aim of this paper is to conduct a systematic literature review to investigate open data-based machine learning applications in the six different areas of smart cities. The results of this research reveal that: (a) machine learning applications using open data came out in all the SC areas and specific ML techniques are discovered for each area, with deep learning and supervised learning being the first choices. (b) Open data platforms represent the most frequently used source of data. (c) The challenges associated with open data utilization vary from quality of data, to frequency of data collection, to consistency of data, and data format. Overall, the data synopsis as well as the in-depth analysis may be a valuable support and inspiration for the future smart city projects.


2017 ◽  
Vol 31 (10) ◽  
pp. 895-912 ◽  
Author(s):  
Suzanne Rainsford ◽  
Roderick D MacLeod ◽  
Nicholas J Glasgow ◽  
Christine B Phillips ◽  
Robert B Wiles ◽  
...  

Background: End-of-life care must be relevant to the dying person and their family caregiver regardless of where they live. Rural areas are distinct and need special consideration. Gaining end-of-life care experiences and perspectives of rural patients and their family caregivers is needed to ensure optimal rural care. Aims: To describe end-of-life care experiences and perspectives of rural patients and their family caregivers, to identify facilitators and barriers to receiving end-of-life care in rural/remote settings and to describe the influence of rural place and culture on end-of-life care experiences. Design: A systematic literature review utilising the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Data sources: Four databases (PubMed, CINAHL, Scopus and Web of Science) were searched in January 2016, using a date filter of January 2006 through January 2016; handsearching of included article references and six relevant journals; one author contacted; pre-defined search terms and inclusion criteria; and quality assessment by at least two authors. Results: A total of 27 articles (22 rural/remote studies) from developed and developing countries were included, reporting rural end-of-life care experiences and perspectives of patients and family caregivers. Greatest needs were informational (developed countries) and medications (developing countries). Influence of rural location included distances, inaccessibility to end-of-life care services, strong community support and importance of home and ‘country’. Conclusion: Articulation of the rural voice is increasing; however, there still remain limited published rural studies reporting on patient and family caregivers’ experiences and perspectives on rural end-of-life care. Further research is encouraged, especially through national and international collaborative work.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ali Acilar ◽  
Øystein Sæbø

Purpose The purpose of this paper is to address the gender digital divide through the adoption of information and communication technologies (ICTs) by reviewing existing knowledge within the field. This paper explores the characteristics and factors contributing to the gender digital divide. To bridge the gender digital divide, it is important to understand the factors behind gender differences in ICT access and use. Design/methodology/approach In this study, the systematic literature review was conducted in accordance with the preferred reporting items for systematic reviews and meta-analyses (PRISMA) approach. In total, 24 articles were selected and analysed with using PRISMA steps. Findings Despite a significant increase in usage of the internet and other ICTs around the world, women, especially in developing countries, tend to be on the wrong side of the digital divide. The results indicate that while there are still gender differences in access to ICT in developing countries, second-level digital divide issues are more of a concern in developed countries. In the literature, several important factors have been identified as being associated with the gender digital divide. The results highlight the importance of implementable policies to bridge the gender digital divide, as well as how sociocultural factors play an important role in explaining the gender digital divide phenomenon. Originality/value By identifying the gender digital divide studies’ characteristics and factors contributing to the gender digital divide, the authors provide an overview of the existing research, allowing us to discuss future research needs within the field. The authors argue that more research is needed to understand how to better address the sociocultural factors affecting the gender digital divide, to understand why equal access seems not to result in equal use and, to understand the consequences of the COVID-19 pandemic on the gender digital divide.


Tech-E ◽  
2021 ◽  
Vol 5 (1) ◽  
pp. 57-67
Author(s):  
Riki Riki ◽  
◽  
Setyawan Widyarto ◽  
Saliyah Kahar ◽  
◽  
...  

Smart cities are currently becoming the trend of large cities in the world and large cities in Indonesia. As the center of human civilization, cities cannot do without the problems of excess capacity and comfort. More and more people are migrating from the countryside to the cities, which brings new problems to the cities. Cities need to change to survive in the future. Strong indicators are needed to support cities, whether in terms of natural environment, society, communities, infrastructure, and education. In this article, we discuss a systematic literature review of research related to smart cities. The systematic literature review is divided into three stages, introduction stage, demographic analysis stage and result analysis. The results reveal important indicators of smart cities based on the conclusions of previous research


Urban Studies ◽  
2019 ◽  
Vol 57 (4) ◽  
pp. 894-915 ◽  
Author(s):  
Stephen Leitheiser ◽  
Alexander Follmann

As a prominent and performative discourse, The Smart City has the potential to shape urban futures. Yet, its mostly top-down implementation and dominantly technocratic definition of problems raises critiques of The Smart City as the latest version of a series of post-political and neoliberal visions of urban governance. However, as smart cities are implemented into ‘actually existing’ strategies locally, they are always negotiated and translated into place-specific contexts. Beyond critiquing the powerful discourse of The Smart City, the social innovation–(re)politicisation nexus (SIRN) spells out a framework for contesting and co-producing radically transformative smart city visions and politics as they take shape on the ground. Linking the empirical case study of the ‘top-down’ implementation of SmartCity Cologne, Germany, to current ‘bottom-up’ discourses on reclaiming the urban commons, we show how ‘true’ and ‘real’ social innovation must go hand-in-hand with a re-politicisation of hegemonic logics and discursive framings. In doing so, this paper makes theoretical and empirical contributions to public and academic discourse on which governance practices, methods and policies could contribute to radical transformations towards a ‘truly’ smart and sustainable urban future.


2021 ◽  
Vol 13 (10) ◽  
pp. 5578
Author(s):  
Antonio De Nicola ◽  
Maria Luisa Villani

The increasing interconnections of city services, the explosion of available urban data, and the need for multidisciplinary analysis and decision making for city sustainability require new technological solutions to cope with such complexity. Ontologies have become viable and effective tools to practitioners for developing applications requiring data and process interoperability, big data management, and automated reasoning on knowledge. We investigate how and to what extent ontologies have been used to support smart city services and we provide a comprehensive reference on what problems have been addressed and what has been achieved so far with ontology-based applications. To this purpose, we conducted a systematic literature review finalized to presenting the ontologies, and the methods and technological systems where ontologies play a relevant role in shaping current smart cities. Based on the result of the review process, we also propose a classification of the sub-domains of the city addressed by the ontologies we found, and the research issues that have been considered so far by the scientific community. We highlight those for which semantic technologies have been mostly demonstrated to be effective to enhance the smart city concept and, finally, discuss in more details about some open problems.


2021 ◽  
Vol 13 ◽  
pp. 184797902110397
Author(s):  
Ary Arvianto ◽  
Bertha Maya Sopha ◽  
Anna Maria Sri Asih ◽  
Muhammad Ali Imron

Varying characteristics of developed and developing countries have resulted in different challenges and innovative solutions of city logistics. This study aimed to identify research clusters on city logistics between developed and developing economies and to systematically compare city logistics challenges and associated innovative solutions for both economies. Bibliometric analysis and a systematic literature review were applied to analyze 328 peer-reviewed publications, comprising 229 (70%) and 99 (30%) articles addressing case studies in developed and developing economies, respectively. We discovered six research clusters in city logistics literature for developed countries, compared with only four for developing economies in which public policy has not been addressed. Urban growth, environmental challenges, and traffic congestion are the three major city logistics challenges in both types of economies. Furthermore, fleet increment and inadequate loading/unloading spaces are the city logistics challenges analyzed in the literature on developing countries compared with the literature on developed economies that addresses the challenges of education deficiency, regulation, emergence of new business models, and network accessibility and capacity. Consequently, innovative solutions adopted by developed countries demonstrate varied processes involving technology, policy (including public policy and sustainability measures), infrastructure, and economic measures, while for developing countries, the focus remains on effective and efficient distribution operations using optimization and collaboration efforts.


2021 ◽  
Vol 13 (19) ◽  
pp. 10680
Author(s):  
Leonidas G. Anthopoulos ◽  
Dimitrios N. Tzimos

Carpooling schemes for mutual cost benefits between the driver and the passengers has a long history. However, the convenience of driving alone, the increasing level of car ownership, and the difficulties in finding travelers with matching timing and routes keep car occupancy low. Technology is a key enabler of online platforms which facilitate the ride matching process and lead to an increase in carpooling services. Smart carpooling services may be an alternative and enrichment for mobility, which can help smart cities (SCs) reduce traffic congestion and gas emissions but require the appropriate architecture to support connection with the city infrastructure such as high-occupancy vehicle lanes, parking space, tolls, and the public transportation services. To better understand the evolution of carpooling platforms in SCs, bibliometric analysis of three separate specialized literature collections, combined with a systematic literature review, is performed. It is identified that smart carpooling platforms could generate additional value for participants and SCs. To deliver this value to an SC, a multi-sided platform business model is proposed, suitable for a carpooling service provider with multiple customer segments and partners. Finally, after examining the SC structure, a carpooling platform architecture is presented, which interconnects with the applicable smart city layers.


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