scholarly journals Carpooling Platforms as Smart City Projects: A Bibliometric Analysis and Systematic Literature Review

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.

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.


2019 ◽  
Vol 8 (4) ◽  
pp. 9543-9547

Internet of things plays an important role to make smart in all the areas like smart city, smart home etc [1]. It is used in more efficient water supply, an innovative solution for traffic congestion, to make reliable public transportation, improved the public safety, energy efficient building, Vehicle smart security system etc [4]. While the average cost for basic items is going up, there is a developing concentration to include innovation to bring down those costs for smart city development. In the following chapter will discussed the few innovation for the smart city development.


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.


2019 ◽  
Vol 11 (2) ◽  
pp. 70-86 ◽  
Author(s):  
Justyna Winkowska ◽  
Danuta Szpilko ◽  
Sonja Pejić

Abstract Nowadays, the transformations of metropolises into smart cities is a crucial factor in improving the living conditions of the inhabitants. The goal of the smart city concept is modern urban management using technical tools that offer state-of-the-art technologies, considering the applicable ecological standards while saving resources and achieving the expected results. The purpose of this article is to identify the areas of research analysed in the international literature in the field of smart cities. The bibliometric analysis was carried out to achieve the purpose. The analysis covered publications on smart cities published in Scopus and Web of Science databases from January 2009 to May 2019. Based on the bibliometric analysis, a bibliometric map was developed using the mapping technique VOS — the visualisation of similarities. Original clusters were created using the VOSviewer software. The bibliometric map visualises the results of the analysis that targeted the word coexistence.


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


Author(s):  
Jyoti Chandiramani ◽  
Sushma Nayak

The idea of smart city has assumed popularity in numerous countries across the globe. In 2015, the Government of India embarked on a mission of creating 100 smart cities to sustain the burgeoning urban population. While a wide-ranging set of fundamentals has a key role in enhancing the quality of life of citizens, the chapter revolves around transportation issues and traffic management concerns in one of India's smart cities, Pune. Transport is one of the few areas where Pune lags behind compared to its urban counterparts in the country. Public transportation in the city has been ineffectual, and auto rickshaws have been unyielding and pricey, thus making it imperative to possess personal vehicles or resort to app-based cab services. A palpable outcome of this has been traffic congestion that leads to slower travelling speeds, extended trip times, and amplified vehicular queuing. Big data and IoT can make a considerable impact in realizing the smart city objectives for efficient transportation in Pune by serving as complementary measures to supply-side policies.


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.


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.


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