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Smart Mobility in Smart City
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Smart Mobility in Smart City

A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Public Health Statistics and Risk Assessment".

Deadline for manuscript submissions: closed (31 March 2021) | Viewed by 16421

Special Issue Editors

Dr. Santoso Wibowo

E-Mail Website
Guest Editor
School of Engineering and Technology, Central Queensland University, Melbourne, QLD 4701, Australia
Interests: artificial intelligence; deep learning; machine learning; intelligent information systems; performance evaluation
Special Issues, Collections and Topics in MDPI journals
Dr. Sameera Mubarak

E-Mail Website
Guest Editor
School of Information Technology and Mathematical Sciences, University of South Australia, Adelaide, SA 5001, Australia
Interests: smart city; e-governance; e-learning; information security management
Dr. Srimannarayana Grandhi

E-Mail Website
Guest Editor
School of Engineering and Technology, Central Queensland University, Melbourne, QLD 4701, Australia
Interests: artificial intelligence; blockchain technology; enterprise systems; knowledge management; multicriteria decision making
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

It is estimated, by 2050, the global urban population will have increased to 6.3 billion of a total population of 9.3 billion and about 70% of people will be living in cities. As the number of urban residents increases, government agencies need to urgently address serious sustainable and development challenges in various areas, including mobility. This is because mobility issues impact on citizens’ quality of life and the overall sustainability of cities.

To overcome this issue, globally, there have been many efforts to develop smart city initiatives through the various dimensions of a smart city including smart mobility. Smart mobility focuses on the use of integrated ICT infrastructures, sustainable transport systems, and logistics to support urban traffic and mobility. The applications of smart mobility services include the provision of real-time and multi-modal public transport information, and traffic light optimization to attend to real-time traffic demand. The adoption of smart mobility helps to dramatically reduce emission levels and contribute to a sustainable global transport system, as part of a wider program of creating more vibrant, liveable, and sustainable cities.

This Special Issue will comprise a selection of papers presenting original and innovative contributions in the field of smart mobility research, including blockchain and smart mobility, intelligent transport systems, sustainable transportation systems, as well as innovative use cases of smart mobility-related technologies and socio-cultural, political, economical, environmental, and legal considerations.

The particular topics of interest include, but are not limited to the following:

  • Blockchain and smart mobility
  • Innovations in smart mobility
  • Smart urban mobility
  • Autonomous urban mobility
  • Sustainable transportation systems
  • Governance of smart mobility
  • Planning and designing of smart mobility services
  • Intelligent transport systems
  • Impact on quality of life
  • Socio-cultural, political, economical, environmental, and legal considerations

Dr. Santoso Wibowo
Dr. Sameera Mubarak
Dr. Srimannarayana Grandhi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Environmental Research and Public Health is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Smart city
  • Smart mobility
  • Blockchain
  • Autonomous urban mobility
  • Sustainable transportation systems

Published Papers (4 papers)

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Research

16 pages, 2087 KiB  
Article
Research on Transfer Optimization Model of County Transit Network
by Xu Sun, Kun Lin, Pengpeng Jiao, Zelin Deng and Wei He
Int. J. Environ. Res. Public Health 2021, 18(9), 4962; https://doi.org/10.3390/ijerph18094962 - 7 May 2021
Cited by 2 | Viewed by 1746
Abstract
County transit is an important mode that connects the county center with the surrounding countryside. This paper addresses the problem of unreasonable transit network planning, inconvenient operational optimizations, and protections in the country transit network system to build the transfer optimization model of [...] Read more.
County transit is an important mode that connects the county center with the surrounding countryside. This paper addresses the problem of unreasonable transit network planning, inconvenient operational optimizations, and protections in the country transit network system to build the transfer optimization model of the county transit network. The model that maximizes the synchronization reach operates in the “end-point connection”, which is the most suitable layout mode by analyzing the characteristics of county transit passenger flow and for comparing different layout modes. Typical county-level cities in three urban agglomerations in China were chosen as cases to validate the effectiveness and practicability of the proposed model. The case results are compared and analyzed in terms of the network density, departure interval, county population, and economic development level, which give theoretical support for decision-making in the planning, construction, and operation management of public transportation in China’s counties. Full article
(This article belongs to the Special Issue Smart Mobility in Smart City)
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14 pages, 2067 KiB  
Article
Effects of COVID-19 on Urban Population Flow in China
by Xiaorong Jiang, Wei Wei, Shenglan Wang, Tao Zhang and Chengpeng Lu
Int. J. Environ. Res. Public Health 2021, 18(4), 1617; https://doi.org/10.3390/ijerph18041617 - 8 Feb 2021
Cited by 10 | Viewed by 2851
Abstract
The COVID-19 epidemic has become a Public Health Emergency of International Concern. Thus, this sudden health incident has brought great risk and pressure to the city with dense population flow. A deep understanding of the migration characteristics and laws of the urban population [...] Read more.
The COVID-19 epidemic has become a Public Health Emergency of International Concern. Thus, this sudden health incident has brought great risk and pressure to the city with dense population flow. A deep understanding of the migration characteristics and laws of the urban population in China will play a very positive role in the prevention and control of the epidemic situation. Based on Baidu location-based service (LBS) big data, using complex networks method and geographic visualization tools, this paper explores the spatial structure evolution of population flow network (PFN) in 368 cities of China under different traffic control situations. Effective distance models and linear regression models were established to analyze how the population flow across cities affects the spread of the epidemic. Our findings show that: (1) the scope of population flow is closely related to the administrative level of the city and the traffic control policies in various cities which adjust with the epidemic situation; The PFN mainly presents the hierarchical structure dominated by the urban hierarchy and the regional isolation structure adjacent to the geographical location.(2) through the analysis network topology structure of PFN, it is found that only the first stage has a large clustering coefficient and a relatively short average path length, which conforms to the characteristics of small world network. The epidemic situation has a great impact on the network topology in other stages, and the network structure tends to be centralized. (3) The overall migration scale of the whole country decreased by 36.85% compared with the same period of last year’s lunar calendar, and a further reduction of 78.52% in the nationwide traffic control stage after the festival. (4) Finally, based on the comparison of the effective distance and the spatial distance from the Wuhan to other destination cities, it is demonstrated that there is a higher correlation between the effective distance and the epidemic spread both in Hubei province and the whole country. Full article
(This article belongs to the Special Issue Smart Mobility in Smart City)
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21 pages, 922 KiB  
Article
Cyberattacks Detection in IoT-Based Smart City Applications Using Machine Learning Techniques
by Md Mamunur Rashid, Joarder Kamruzzaman, Mohammad Mehedi Hassan, Tasadduq Imam and Steven Gordon
Int. J. Environ. Res. Public Health 2020, 17(24), 9347; https://doi.org/10.3390/ijerph17249347 - 14 Dec 2020
Cited by 88 | Viewed by 7166
Abstract
In recent years, the widespread deployment of the Internet of Things (IoT) applications has contributed to the development of smart cities. A smart city utilizes IoT-enabled technologies, communications and applications to maximize operational efficiency and enhance both the service providers’ quality of services [...] Read more.
In recent years, the widespread deployment of the Internet of Things (IoT) applications has contributed to the development of smart cities. A smart city utilizes IoT-enabled technologies, communications and applications to maximize operational efficiency and enhance both the service providers’ quality of services and people’s wellbeing and quality of life. With the growth of smart city networks, however, comes the increased risk of cybersecurity threats and attacks. IoT devices within a smart city network are connected to sensors linked to large cloud servers and are exposed to malicious attacks and threats. Thus, it is important to devise approaches to prevent such attacks and protect IoT devices from failure. In this paper, we explore an attack and anomaly detection technique based on machine learning algorithms (LR, SVM, DT, RF, ANN and KNN) to defend against and mitigate IoT cybersecurity threats in a smart city. Contrary to existing works that have focused on single classifiers, we also explore ensemble methods such as bagging, boosting and stacking to enhance the performance of the detection system. Additionally, we consider an integration of feature selection, cross-validation and multi-class classification for the discussed domain, which has not been well considered in the existing literature. Experimental results with the recent attack dataset demonstrate that the proposed technique can effectively identify cyberattacks and the stacking ensemble model outperforms comparable models in terms of accuracy, precision, recall and F1-Score, implying the promise of stacking in this domain. Full article
(This article belongs to the Special Issue Smart Mobility in Smart City)
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17 pages, 1313 KiB  
Article
Rural Population Aging and the Hospital Utilization in Cities: The Rise of Medical Tourism in China
by Bing Hu, Daiyan Peng, Yuedong Zhang and Jiyu Yu
Int. J. Environ. Res. Public Health 2020, 17(13), 4790; https://doi.org/10.3390/ijerph17134790 - 3 Jul 2020
Cited by 12 | Viewed by 3369
Abstract
The disparity of rural and urban hospital utilization has aroused much concern. With the improvement of their living standards, patients in rural areas have an emerging need for traveling across borders for better medical treatment in China. This paper reveals the medical tourism [...] Read more.
The disparity of rural and urban hospital utilization has aroused much concern. With the improvement of their living standards, patients in rural areas have an emerging need for traveling across borders for better medical treatment in China. This paper reveals the medical tourism of rural residents towards urban hospitals driven by hospital needs and points out that such disparities may be caused by medical tourism. The ratio of people aged 65 and above in total rural populations was used to identify the potential target customers for medical tourism. Based on rural and urban datasets ranging from 2007–2017 on the provincial level, this paper presents a mobile treatment model and market concentration model with an ecological foundation. The feasible generalized least squared approach was used in the estimation of the fixed-effect regressions. The study found that there was a positive and significant relationship between rural old-age ratios and urban inpatient visits from different income groups. On average, a one percent rise in rural old-age ratio would increase the inpatient visits of urban hospitals by 138 thousand persons. There was also a positive and significant relationship between the rural old-age ratio and the market concentration of urban inpatient visits. It was found that the rural old-age ratio significantly influenced the market concentration of urban inpatient visits in the middle-high income regions. The research showed that each income group from the rural aged population had participated in medical tourism, traveled to urbanized regions and made inpatient visits to urbanized medical facilities. It was also indicated that the rural aged population, especially from the middle-high income groups had a positive and significant influence on the market concentration of urban inpatient visits in the province. Full article
(This article belongs to the Special Issue Smart Mobility in Smart City)
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