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Special Issue "Resilient, Sustainable and Smart Cities: Emerging Trends and Approaches"

A special issue of Sustainability (ISSN 2071-1050).

Deadline for manuscript submissions: 21 December 2017

Special Issue Editors

Guest Editor
Dr. Ernesto D.R. Santibanez-Gonzalez

Universidad de Talca, Chile
Website | E-Mail
Interests: sustainable supply chain; sustainable operations management; operations research; logistics; last-mile supply chain; energy aware modelling; carbon capture and sequestration; low carbon economy; circular economy; smart and sustainable cities; game theory
Guest Editor
Prof. Olga Battaia

ISAE-Supaero, Toulouse, France
Website | E-Mail
Interests: reverse supply chains; sustainable manufacturing; combinatorial optimization; decision support systems; optimal design of production lines
Guest Editor
Prof. Ana Paula Barbosa-Póvoa

Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal
Website | E-Mail
Interests: supply chain management; operations management; logistics; systems engineering
Guest Editor
Dr. Lei Zhu

School of Economics and Management, Beihang University, Beijing, China
Website | E-Mail
Interests: energy investment assessment; impact analysis of climate change; energy and climate technology evaluation; real option analysis; game theory, and stochastic programming

Special Issue Information

Dear Colleagues,

This Special Issue is open to researchers from around the world, interested in the development and applications of advanced quantitative approaches to address important issues and problems that arise in the area of Resilient, Sustainable and Smart Cities; in particular, in a setting of global climate change. We aim to publish cutting-edge research, both theoretical and empirical, which analyzes emerging trends and new approaches for supporting complex decisions in the urban–city arena. We expect that submissions will come partially from selected papers presented at the 2nd Global Conference on Theory and Applications of Operations Research/Operations Management Approaches for Sustainability, which will take place in September, 2017, in Beijing, China. Some of the topics of interest, while not exhaustive, include the following:

  • - Emerging trends in last-mile distribution problems in future cities;
  • - Approaches for disaster management in urban areas;
  • - Efficient waste management in cities;
  • - Making a low-carbon economy work in future cities;
  • - Trends in public and freight transportation for sustainable cities;
  • - Quantitative approaches for supporting a smart city;
  • -  Impacts of circular economy approaches on cities

Dr. Ernesto D.R. Santibanez-Gonzalez
Prof. Olga Battaia
Prof. Ana Paula Barbosa-Póvoa
Dr. Lei Zhu
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 papers will be 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 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 1400 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

  • resilient city
  • sustainable, smart city
  • low carbon economy
  • operations research
  • quantitative models and methods
  • operations management
  • logistics
  • supply chain

Published Papers (2 papers)

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Research

Open AccessArticle Study on Environment Performance Evaluation and Regional Differences of Strictly-Environmental-Monitored Cities in China
Sustainability 2017, 9(12), 2094; doi:10.3390/su9122094
Received: 25 September 2017 / Revised: 2 November 2017 / Accepted: 9 November 2017 / Published: 8 December 2017
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Abstract
With the rapid economic growth and development, the problem of environmental pollution in China’s cities is becoming increasingly serious, and environmental pollution takes on a regional difference. There is, however, little comprehensive evaluation on the environmental performance and the regional difference of strictly-environmental-monitored
[...] Read more.
With the rapid economic growth and development, the problem of environmental pollution in China’s cities is becoming increasingly serious, and environmental pollution takes on a regional difference. There is, however, little comprehensive evaluation on the environmental performance and the regional difference of strictly-environmental-monitored cities in China. In this paper, the environmental performance of 109 strictly-environmental-monitored cities in China is evaluated in terms of natural performance, management performance, and scale performance by Data Envelopment Analysis (DEA), incorporating PM2.5 and PM10 as undesirable outputs. The empirical results show that: (1) At present, the natural performance is quite high, while the management performance is noticeably low for most cities. (2) The gap between the level of economic development and environmental protection among cities in China is large, and the scale efficiency of big cities is better than that of smaller cities. The efficiency value of large-scale cities such as Beijing, Shanghai, Guangzhou, Shenzhen, etc. is high, equaling 1; the value of smaller cities such as Sanmenxia, Baoding, Mudanjiang, and Pingdingshan is low, close to 0, indicating that big cities are characterized by high environmental efficiency. (3) From the perspective of region, the level of environmental performance in China is very uneven. For example, the environmental efficiency level of the Pan-Pearl River Delta region is superior to that of the Pan-Yangtze River region and the Bahia Rim region, whose values of environmental efficiency are 0.858, 0.658, and 0.622 respectively. The average efficiency of the Southern Coastal Economic Zone, Eastern Coastal Comprehensive Economic Zone, and the Comprehensive Economic Zone in the middle reaches of the Yangtze River is higher than that of other regions. Finally, corresponding countermeasures and suggestions are put forward. The method used in this paper is applicable to the performance evaluation of cities, and the results of the evaluation reflect the differences of the environmental performance level between strictly-environmental-monitored cities and different regions in China, providing reference for the balanced environmental development of cities and regions. Full article
Open AccessArticle The STIRPAT Analysis on Carbon Emission in Chinese Cities: An Asymmetric Laplace Distribution Mixture Model
Sustainability 2017, 9(12), 2237; doi:10.3390/su9122237
Received: 2 October 2017 / Revised: 18 November 2017 / Accepted: 29 November 2017 / Published: 4 December 2017
PDF Full-text (389 KB) | HTML Full-text | XML Full-text
Abstract
In cities’ policy-making, it is a hot issue to grasp the determinants of carbon dioxide emission in Chinese cities. And the common method is to use the STIRPAT model, where its coefficients represent the influence intensity of each determinants of carbon emission. However,
[...] Read more.
In cities’ policy-making, it is a hot issue to grasp the determinants of carbon dioxide emission in Chinese cities. And the common method is to use the STIRPAT model, where its coefficients represent the influence intensity of each determinants of carbon emission. However, less work discusses estimation accuracy, especially in the framework of non-normal distribution and heterogeneity among cities’ emission. To improve the estimation accuracy, this paper employs a new method to estimate the STIRPAT model. The method uses a mixture of Asymmetric Laplace distributions (ALDs) to approximate the true distribution of the error term. Meantime, a designed two-layer EM algorithm is used to obtain estimators. We test the robustness via the comparison results of five different models. We find that the ALDs Mixture Model is more reliable the others. Further, a significant Kuznets curve relationship is identified in China. Full article
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