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Human-Centric Urban Services
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Human-Centric Urban Services

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Urban and Rural Development".

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 18523

Special Issue Editors

Dr. O-Joun Lee

E-Mail Website
Guest Editor
Future IT Innovation Laboratory, Pohang University of Science and Technology, Pohang, South Korea
Interests: smart cities; smart governance; multimedia content analysis; computational narrative; social issue mining; social network analysis
Prof. Dr. Hoon Ko

E-Mail Website
Guest Editor
IT Research Institute, Chosun University, Gwangju, Korea
Interests: Cyber-Security; Smart-City; Human relationship based on contexts
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We live in the big data and Internet of Things (IoT) era. This paradigm shift also demands changes in cities, not only in their functions, but also in their roles. However, most of the recent studies on smart cities only focus on enhancing the conventional functions of a city, which mainly include infrastructure, e.g., smart grid, smart transportation, etc. Embracing artificial intelligence (AI) techniques into managing urban infrastructures is significant to improving their efficiency. The problem is that there is no fundamental change in what the city must provide to its citizens in this new era. The city must find its new role as cell phones become smartphones. This point is also an issue of the dissemination of technological advancements and their contribution to our society.

This Special Issue deals with the kinds of novel services that can be provided to citizens in smart cities. What kinds of urban services can improve the quality of our lives rather than fewer public utility charges and fewer traffic jams? To solve these problems, we need to investigate more human-centric urban services. Thus, this Special Issue will collect papers focusing on discovering new problems that are closer to citizens in smart cities. It is difficult for scholars of information technology to conduct this exploration on their own. Therefore, this Special Issue aims to gather various opinions from different research areas, including computer science, urban planning, urban policy, civil engineering, etc. Thus, this Special Issue attempts to discuss novel research directions and contributions related to novel urban services for citizens in the big data and IoT era.

Additionally, this special issue will include extended versions of selected papers from Computing4Human 2021, along with general papers closely related to the coverage of this special issue.

Dr. O-Joun Lee
Prof. Hoon Ko
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. Sustainability is an international peer-reviewed open access semimonthly 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 2400 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
  • Urban services
  • Smart governance
  • Social issue mining
  • Personalized urban services
  • Internet of Things
  • Technology and social problems

Published Papers (6 papers)

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Research

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13 pages, 3175 KiB  
Article
Intelligent Access Control Design for Security Context Awareness in Smart Grid
by Hyoungju Kim and Junho Choi
Sustainability 2021, 13(8), 4124; https://0-doi-org.brum.beds.ac.uk/10.3390/su13084124 - 07 Apr 2021
Cited by 8 | Viewed by 2339
Abstract
Recently, damages such as internal system intrusion, network and device vulnerability attacks, malicious code infection, and information leakage due to security attacks are increasing within the smart grid environment. Detailed and dynamic access control must be implemented to enable the power system in [...] Read more.
Recently, damages such as internal system intrusion, network and device vulnerability attacks, malicious code infection, and information leakage due to security attacks are increasing within the smart grid environment. Detailed and dynamic access control must be implemented to enable the power system in the smart grid environment to respond to such attacks. Dynamic and partial delegation must be available, and permission role restrictions must be considered for dynamic access control when delegating a role because of changes in power resource manager authority. In this paper, we propose an intelligent access control framework that can recognize security context by analyzing security vulnerabilities for security management of power systems. The intelligent access control framework is designed as a framework that enables collaboration within the smart grid environment, and a system administrator is designed to transmit access control policy information required between the power service principal and the agent. In addition, an experiment is conducted for the control inference of security context ontology-based access, attack detection inference of the security context awareness service, and the attack response of the intelligent integrated access control system. Experimental results show that the precision of security context ontology-based access control inference is 70%, and the attack response rate of integrated access control is 72.8%. Full article
(This article belongs to the Special Issue Human-Centric Urban Services)
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11 pages, 736 KiB  
Article
Design of a Secure Energy Trading Model Based on a Blockchain
by Hoon Ko and Isabel Praça
Sustainability 2021, 13(4), 1634; https://0-doi-org.brum.beds.ac.uk/10.3390/su13041634 - 03 Feb 2021
Cited by 3 | Viewed by 2057
Abstract
This study proposes a Secure Energy Trading Model design based on a Blockchain is an attempt to overcome the weak security and instability of the current energy trading system. The focal point of the design lies in the user-security features of the model, [...] Read more.
This study proposes a Secure Energy Trading Model design based on a Blockchain is an attempt to overcome the weak security and instability of the current energy trading system. The focal point of the design lies in the user-security features of the model, such as user authentication and identification, and the blockchain that every transaction goes through. The user-security feature provides a safer system for peer-to-peer energy trade, and the blockchain technology ensures the reliability of the trading system. Furthermore, the Secure Energy Trading Model supports a decentralized data control mechanism as a future measure for handling vast amounts of data created by IoT. Full article
(This article belongs to the Special Issue Human-Centric Urban Services)
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29 pages, 3438 KiB  
Article
Discovering Social Desires and Conflicts from Subculture Narrative Multimedia
by O-Joun Lee, Heelim Hong, Eun-Soon You and Jin-Taek Kim
Sustainability 2020, 12(24), 10241; https://0-doi-org.brum.beds.ac.uk/10.3390/su122410241 - 08 Dec 2020
Viewed by 2136
Abstract
This study aims at discovering social desires and conflicts from subculture narrative multimedia. Since one of the primary purposes in the subculture consumption is vicarious satisfaction, the subculture works straightforwardly describe what their readers want to achieve and break down. The latent desires [...] Read more.
This study aims at discovering social desires and conflicts from subculture narrative multimedia. Since one of the primary purposes in the subculture consumption is vicarious satisfaction, the subculture works straightforwardly describe what their readers want to achieve and break down. The latent desires and conflicts are useful for understanding our society and realizing smart governance. To discover the social issues, we concentrate on that each subculture genre has a unique imaginary world that consists of inventive subjects. We suppose that the subjects correspond to individual social issues. For example, game fiction, one of the popular genres, describes a world like video games. Under game systems, everyone gets the same results for the same efforts, and it can be interpreted as critics for the social inequality issue. Therefore, we first extract subjects of genres and measure the membership degrees of subculture works for each genre. Using the subjects and membership degrees, we build a genealogy tree of subculture genres by tracing their evolution and differentiation. Then, we extract social issues by searching for the subjects that come from the real world, not imaginary. If a subculture work criticizes authoritarianism, it might include subjects such as government officials and bureaucrats. A combination of the social issues and genre genealogy tree will show diachronic changes in our society. We have evaluated the proposed methods by extracting social issues reflected in Korean web novels. Full article
(This article belongs to the Special Issue Human-Centric Urban Services)
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19 pages, 2899 KiB  
Article
ABGS: A System for the Automatic Generation of Building Information Models from Two-Dimensional CAD Drawings
by Youngsoo Byun and Bong-Soo Sohn
Sustainability 2020, 12(17), 6713; https://0-doi-org.brum.beds.ac.uk/10.3390/su12176713 - 19 Aug 2020
Cited by 17 | Viewed by 3648
Abstract
Building Information Modeling (BIM) refers to 3D-based digital modeling of buildings and infrastructure for efficient design, construction, and management. Governments have recognized and encouraged BIM as a primary method for enabling advanced construction technologies. However, BIM is not universally employed in industries, and [...] Read more.
Building Information Modeling (BIM) refers to 3D-based digital modeling of buildings and infrastructure for efficient design, construction, and management. Governments have recognized and encouraged BIM as a primary method for enabling advanced construction technologies. However, BIM is not universally employed in industries, and most designers still use Computer-Aided Design (CAD) drawings, which have been used for several decades. This is because the initial costs for setting up a BIM work environment and the maintenance costs involved in using BIM software are substantially high. With this motivation, we propose a novel software system that automatically generates BIM models from two-dimensional (2D) CAD drawings. This is highly significant because only 2D CAD drawings are available for most of the existing buildings. Notably, such buildings can benefit from the BIM technology using our low-cost conversion system. One of the common problems in existing methods is possible loss of information that may occur during the process of conversion from CAD to BIM because they mainly focus on creating 3D geometric models for BIM by using only floor plans. The proposed method has an advantage of generating BIM that contains property information in addition to the 3D models by analyzing floor plans and other member lists in the input design drawings together. Experimental results show that our method can quickly and accurately generate BIM models from 2D CAD drawings. Full article
(This article belongs to the Special Issue Human-Centric Urban Services)
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27 pages, 2378 KiB  
Article
Sentiment Digitization Modeling for Recommendation System
by Tae-Yeun Kim, Sung Bum Pan and Sung-Hwan Kim
Sustainability 2020, 12(12), 5191; https://0-doi-org.brum.beds.ac.uk/10.3390/su12125191 - 25 Jun 2020
Cited by 8 | Viewed by 2308
Abstract
As the importance of providing personalized services increases, various studies on personalized recommendation systems are actively being conducted. Among the many methods used for recommendation systems, the most widely used is collaborative filtering. However, this method has lower accuracy because recommendations are limited [...] Read more.
As the importance of providing personalized services increases, various studies on personalized recommendation systems are actively being conducted. Among the many methods used for recommendation systems, the most widely used is collaborative filtering. However, this method has lower accuracy because recommendations are limited to using quantitative information, such as user ratings or amount of use. To address this issue, many studies have been conducted to improve the accuracy of the recommendation system by using other types of information, in addition to quantitative information. Although conducting sentiment analysis using reviews is popular, previous studies show the limitation that results of sentiment analysis cannot be directly reflected in recommendation systems. Therefore, this study aims to quantify the sentiments presented in the reviews and reflect the results to the ratings; that is, this study proposes a new algorithm that quantifies the sentiments of user-written reviews and converts them into quantitative information, which can be directly reflected in recommendation systems. To achieve this, the user reviews, which are qualitative information, must first be quantified. Thus, in this study, sentiment scores are calculated through sentiment analysis by using a text mining technique. The data used herein are from movie reviews. A domain-specific sentiment dictionary was constructed, and then based on the dictionary, sentiment scores of the reviews were calculated. The collaborative filtering of this study, which reflected the sentiment scores of user reviews, was verified to demonstrate its higher accuracy than the collaborative filtering using the traditional method, which reflects only user rating data. To overcome the limitations of the previous studies that examined the sentiments of users based only on user rating data, the method proposed in this study successfully enhanced the accuracy of the recommendation system by precisely reflecting user opinions through quantified user reviews. Based on the findings of this study, the recommendation system accuracy is expected to improve further if additional analysis can be performed. Full article
(This article belongs to the Special Issue Human-Centric Urban Services)
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Review

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24 pages, 781 KiB  
Review
Bio-Inspired Approaches for Smart Energy Management: State of the Art and Challenges
by Tri-Hai Nguyen, Luong Vuong Nguyen, Jason J. Jung, Israel Edem Agbehadji, Samuel Ofori Frimpong and Richard C. Millham
Sustainability 2020, 12(20), 8495; https://0-doi-org.brum.beds.ac.uk/10.3390/su12208495 - 15 Oct 2020
Cited by 35 | Viewed by 4907
Abstract
Sustainable energy development consists of design, planning, and control optimization problems that are typically complex and computationally challenging for traditional optimization approaches. However, with developments in artificial intelligence, bio-inspired algorithms mimicking the concepts of biological evolution in nature and collective behaviors in societies [...] Read more.
Sustainable energy development consists of design, planning, and control optimization problems that are typically complex and computationally challenging for traditional optimization approaches. However, with developments in artificial intelligence, bio-inspired algorithms mimicking the concepts of biological evolution in nature and collective behaviors in societies of agents have recently become popular and shown potential success for these issues. Therefore, we investigate the latest research on bio-inspired approaches for smart energy management systems in smart homes, smart buildings, and smart grids in this paper. In particular, we give an overview of the well-known and emerging bio-inspired algorithms, including evolutionary-based and swarm-based optimization methods. Then, state-of-the-art studies using bio-inspired techniques for smart energy management systems are presented. Lastly, open challenges and future directions are also addressed to improve research in this field. Full article
(This article belongs to the Special Issue Human-Centric Urban Services)
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