A Systematic Literature Review of Smart Cities’ Information Services to Support the Mobility of Impaired People

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.

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A systematic literature review of environmental concerns in smart-cities

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/245/1/012031 ◽

2019 ◽

Vol 245 ◽

pp. 012031

Author(s):

I K Raharjana

Keyword(s):

Literature Review ◽

Systematic Literature Review ◽

Smart Cities ◽

Environmental Concerns

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Open Data Based Machine Learning Applications in Smart Cities: A Systematic Literature Review

Electronics ◽

10.3390/electronics10232997 ◽

2021 ◽

Vol 10 (23) ◽

pp. 2997

Author(s):

Luminita Hurbean ◽

Doina Danaiata ◽

Florin Militaru ◽

Andrei-Mihail Dodea ◽

Ana-Maria Negovan

Keyword(s):

Machine Learning ◽

Literature Review ◽

Systematic Literature Review ◽

Smart City ◽

Smart Cities ◽

Open Data ◽

Quality Of Data ◽

Data Movement ◽

Depth Analysis ◽

Machine Learning Applications

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.

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