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

Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 10808

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Special Issue Editor

Prof. Dr. Jieh-Haur Chen

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Guest Editor

Department of Civil Engineering, Research Center of Smart Construction, National Central University, Zhongli District, Taoyuan 32001, Taiwan
Interests: computational intelligence; smart city and life industry; engineering finance; asset and property management; construction management

Special Issue Information

Dear Colleagues,

Smart cities usually refer to efficiently integrating urban services utilizing innovative concepts, technologies, and systems. They offer convenience and benefit to society and have become the main focus for information technologies and construction project management. Achieving managerial sustainability in smart cities will help to constructs a vision that will improve their resiliency and habitability.

This Special Issue of Sustainability—a refereed international journal—will focus on the exchange of information relating to theoretical and practical ideas applied in industry, government, and universities worldwide, and especially devoted to stakeholders in construction projects and management in smart cities, where smart cities refers both to the construction project and to construction management or outcomes. Papers are welcome which deal with answers for smart cities regarding project management, construction management, asset and property management, system developments, computational intelligence applications, and outcomes in smart city practice through an appropriate stakeholder identification, evaluation, and management. Theoretical ideas and case studies are welcome. Specifically, studies in this Special Issue are expected to address but not limited to focusing on research and development in the following topics:

Construction engineering and management;
Project management in engineering;
Automation in construction management;
Project lifecycle management;
Artificial intelligence applied to smart cities;
Computational intelligence applications for smart cities;
Asset and property management in smart cities;
Life industry applications for smart cities;
Sustainability analysis for smart cities;
Habitation resilience analysis.

Prof. Dr. Jieh-Haur Chen
Guest Editor

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
construction project management
asset and property management
sustainability
technical system development
computational intelligence application

Published Papers (5 papers)

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Research

10 pages, 1339 KiB

Open AccessArticle

A Big Data Approach for Investigating Bridge Deterioration and Maintenance Strategies in Taiwan

by Yu-Han Chuang, Nie-Jia Yau and John Mark M. Tabor

Sustainability 2023, 15(2), 1697; https://doi.org/10.3390/su15021697 - 16 Jan 2023

Cited by 4 | Viewed by 1605

Abstract

Due to the dwindling maintenance budget and lack of qualified bridge inspectors, bridge-management agencies in Taiwan need to develop cost-effective maintenance and inspection strategies to preserve the safety and functionality of their aging, natural disaster-prone bridges. To inform the development of such a strategy, this study examined the big data stored in the Taiwan Bridge Management System (TBMS) using the knowledge discovery in databases (KDD) process. Cluster and association algorithms were applied to the inventory and five-year inspection data of 2849 bridges to determine the bridge structural configurations and components that are prone to deterioration. Bridge maintenance agencies can use the results presented to reevaluate their current maintenance and inspection strategies and concentrate their limited resources on bridges and components most prone to deterioration. Full article

(This article belongs to the Special Issue Construction Project and Management in Smart Cities)

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22 pages, 2413 KiB

Open AccessArticle

The Multi-Dimensional Interaction Effect of Culture, Leadership Style, and Organizational Commitment on Employee Involvement within Engineering Enterprises: Empirical Study in Taiwan

by Lin Liu, Hsing-Wei Tai, Kuo-Tai Cheng, Chia-Chen Wei, Chang-Yen Lee and Yen-Hung Chen

Sustainability 2022, 14(16), 9963; https://doi.org/10.3390/su14169963 - 12 Aug 2022

Cited by 2 | Viewed by 2704

Abstract

The prosperity of the engineering industry is the main driving force of the country’s economic development, and the smooth operation of engineering enterprises is the premise for ensuring the prosperity of the engineering industry. This study demonstrates the four dimensions of organization, leadership management, employee identification, and employee involvement, discusses the four components involved (Corporate Culture, Paternalistic Leadership, Organizational Commitment, Job Involvement) and studies their interrelationships and mutual influences. A comprehensive literature review not only makes the four components clearer but puts forward eight hypotheses. Prior to the comprehensive survey analysis, a pilot study was conducted for experienced practitioners in the industry and 311 valid questionnaires were collected. Using IBM SPSS and IBM SPSS AMOS software, the questionnaire data were analyzed by constructing a structure equation, and the results show that: (1) corporate culture is positively related to the paternalistic leadership style and organizational commitment; (2) The paternalistic leadership style is positively correlated with the organizational commitment; (3) The organizational commitment and job involvement are positively correlated; (4) Organizational commitment has an intermediary effect between corporate culture and job involvement; (5) There is no positive correlation between corporate culture and paternalistic leadership style, on the one hand, and job involvement, on the other; (6) The intermediary effect of paternalistic leadership is not significant between corporate culture and job involvement. Full article

(This article belongs to the Special Issue Construction Project and Management in Smart Cities)

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19 pages, 3117 KiB

Open AccessEditor’s ChoiceArticle

Carbon Emission Efficiency Network: Evolutionary Game and Sensitivity Analysis between Differentiated Efficiency Groups and Local Governments

by Renjie Zhang, Hsingwei Tai, Kuotai Cheng, Huizhong Dong, Wenhui Liu and Junjie Hou

Sustainability 2022, 14(4), 2191; https://doi.org/10.3390/su14042191 - 15 Feb 2022

Cited by 6 | Viewed by 1480

Abstract

With its proposal of the “double carbon” (peak carbon dioxide emissions and carbon neutralization) goal, China has entered a new stage in creating an ecological civilization and achieving sustainable development. Based on the formation and evolution mechanism of the carbon emission efficiency network, in this study, a trilateral evolutionary game model—including efficiency groups (high- and low-efficiency groups) and local governments—was constructed, in an attempt to discuss the conditions needed for different players and trilateral interconnected systems to implement balanced and stable strategies. Furthermore, the sensitivity of the participants’ evolutionary trajectories toward factors such as the initial strategy ratio, transition cost, and network capital were tested via a system simulation. The main conclusions were as follows: (1) Efficiency groups form a virtuous circle when the initial proportion of the participants’ strategies reaches a certain threshold, and converge into a stable “win–win” state. Under these circumstances, high-efficiency groups tend to give full play to their efficiency advantages in terms of carbon emission reduction and green development, while low-efficiency groups tend to choose green transformation and accept the spillover effect from high-efficiency groups. (2) When efficiency groups achieve a “win–win” state or form good self-management, local governments move from active supervision to a passive supervision strategy in order to reduce supervision costs. (3) While different initial strategy proportions do not affect the stable convergence point of the evolutionary system, they have a differentiated impact on the convergence speed of the players. Under the condition of a low initial strategy ratio, transformation costs can reduce the green transformation enthusiasm of inefficient groups, while network capital can enhance the green transformation willingness of inefficient groups. Full article

(This article belongs to the Special Issue Construction Project and Management in Smart Cities)

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19 pages, 4155 KiB

Open AccessArticle

Analysis on Evolution Characteristics and Dynamic Mechanism of Urban Green Innovation Network: A Case Study of Yangtze River Economic Belt

by Renjie Zhang, Hsingwei Tai, Kuo-Tai Cheng, Zhengxu Cao, Huizhong Dong and Junjie Hou

Sustainability 2022, 14(1), 297; https://doi.org/10.3390/su14010297 - 28 Dec 2021

Cited by 24 | Viewed by 2219

Abstract

This study puts forward a logical framework for green innovation network analysis, which includes a spatial dimension, a relational dimension, and a systems dimension. Here, we put forward some basic research ideas concerning the optimization and regulation of green innovation networks in terms of the systems dimension and we investigate the micro-dynamic mechanisms of green innovation network expansion using a spatial econometric model. Our main research results are as follows: The efficiency of green innovation in the Yangtze River Economic Belt has improved significantly, however, the gap between cities has gradually increased, and a problem of efficiency regression has emerged. The green innovation network has changed from the primary stage dominated by Edge Network to the rapid growth stage dominated by Supporting Network, and formed a complex network pattern with diversified hierarchical structure. Node symmetry is helpful in forming more extroverted connections and promoting the expansion of green innovation networks. Node proximity and connection symmetry inhibit the growth and development of networks, and knowledge flow cooperation networks can accelerate the evolution of green innovation networks. Finally, this paper holds that we should combine the actual development needs, emphasize the basic principles of differentiated development, and construct the development pattern of regional collaborative innovation. This can also provide a theoretical reference for enriching our understanding of green innovation networks while narrowing the gap between cities. Full article

(This article belongs to the Special Issue Construction Project and Management in Smart Cities)

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18 pages, 3847 KiB

Open AccessArticle

Identifying Spatial Driving Factors of Energy and Water Consumption in the Context of Urban Transformation

by I-Chun Chen, Kuang-Ly Cheng, Hwong-Wen Ma and Cathy C.W. Hung

Sustainability 2021, 13(19), 10503; https://doi.org/10.3390/su131910503 - 22 Sep 2021

Cited by 4 | Viewed by 1563

Abstract

Urban energy and water consumption varies substantially across spatial and temporal scales, which can be attributed to changes of socio-economic variables, especially for a city undergoing urban transformation. Understanding these variations in variables related to resource consumptions would be beneficial to regional resource utilization planning and policy implementation. A geographically weighted regression method with modified procedures was used to explore and visualize the relationships between socio-economic factors and spatial non-stationarity of urban resource consumption to enhance the reliability of predicted results, taking Taichung city with 29 districts as an example. The results indicate that there is a strong positive correlation between socio-economic context and domestic resource consumption, but that there are relatively weak correlations for industrial and agricultural resource consumption. In 2015, domestic water and energy consumption was driven by the number of enterprises followed by population and average income level (depending on the target districts and sectors). Domestic resource consumption is projected to increase by approximately 84% between 2015 and 2050. Again, the number of enterprises outperforms other factors to be the dominant variable responsible for the increase in resource consumption. Spatial regression analysis of non-stationarity resource consumption and its associated variables offers useful information that is helpful for targeting hotspots of dominant resource consumers and intervention measures. Full article

(This article belongs to the Special Issue Construction Project and Management in Smart Cities)

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