Next Article in Journal
Directions for Social Enterprise from an Efficiency Perspective
Next Article in Special Issue
Using DEMATEL and Intuitionistic Fuzzy Sets to Identify Critical Factors Influencing the Recycling Rate of End-Of-Life Vehicles in China
Previous Article in Journal
Exploring the Trends in Nitrogen Input and Nitrogen Use Efficiency for Agricultural Sustainability
Previous Article in Special Issue
Multi Criteria Credit Rating Model for Small Enterprise Using a Nonparametric Method
Article Menu
Issue 10 (October) cover image

Export Article

Open AccessArticle
Sustainability 2017, 9(10), 1907; doi:10.3390/su9101907

Gathered Village Location Optimization for Chinese Sustainable Urbanization Using an Integrated MODM Approach under Bi-Uncertain Environment

College of Architecture and Urban-Rural Planning, Sichuan Agricultural University, Dujiangyan 611830, China
*
Author to whom correspondence should be addressed.
Received: 25 August 2017 / Revised: 18 October 2017 / Accepted: 19 October 2017 / Published: 23 October 2017
View Full-Text   |   Download PDF [6845 KB, uploaded 23 October 2017]   |  

Abstract

Urbanization has become a main challenge all over developing countries in the 21st Century. However, decision making should take into account the different national situations with their complex factors to achieve sustainable development. As standards of living have risen in urban areas, local/neighbor urbanization has become a coming trend in China. With this in mind, the paper focuses on the optimization of nearby gathered village locations in Population Migration (PM) with consideration of both qualitative and quantitative criteria. Therefore, an integrated multiple objective decision making approach (MODM) under a bi-uncertain environment is proposed to solve this problem, which is based on the comprehensive Economy-Society-Ecology-Resource-Religion (ESERR) urbanization concept. The first step is to establish a bi-uncertain multiple objective programming model orienting the problem. Secondly, the model process is composed of fuzzy random variable transformation and the expected value model based on a new fuzzy measure, which is given accordingly to obtain the equivalent model. Thirdly, in order to describe the model efficiently, the Multi-Objective Adaptive Global Local Neighbor Particle Swarm Optimization (MOAGLNPSO) with three-dimensional Pareto optimal judgment criteria is designed. Finally, a case study is tested to validate the effectiveness and to illustrate the advantages of the whole approach. This novel approach can help optimize sustainable urbanization strategies and ensure their realistic application. View Full-Text
Keywords: sustainable urbanization; Population Migration (PM); village location; Multiple Objective Decision Making (MODM); bi-uncertain; Particle Swarm Optimization (PSO) sustainable urbanization; Population Migration (PM); village location; Multiple Objective Decision Making (MODM); bi-uncertain; Particle Swarm Optimization (PSO)
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Gan, L.; Wang, L.; Hu, L. Gathered Village Location Optimization for Chinese Sustainable Urbanization Using an Integrated MODM Approach under Bi-Uncertain Environment. Sustainability 2017, 9, 1907.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sustainability EISSN 2071-1050 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top