Next Article in Journal
CSR Disclosure in Polish-Listed Companies in the Light of Directive 2014/95/EU Requirements: Empirical Evidence
Previous Article in Journal
The Role Played by Trust and Its Effect on the Competiveness of Logistics Service Providers in Hungary
Article Menu
Issue 12 (December) cover image

Export Article

Open AccessArticle
Sustainability 2017, 9(12), 2306; https://doi.org/10.3390/su9122306

Multi-Objective Land-Use Allocation Considering Landslide Risk under Climate Change: Case Study in Pyeongchang-gun, Korea

1
Interdisciplinary Program in Landscape Architecture, Seoul National University, Seoul 08826, Korea
2
Department of Landscape Architecture and Rural System Engineering, Seoul National University, Seoul 08826, Korea
3
Incheon Development Institute, Incheon 22711, Korea
*
Author to whom correspondence should be addressed.
Received: 17 October 2017 / Revised: 6 December 2017 / Accepted: 8 December 2017 / Published: 12 December 2017
View Full-Text   |   Download PDF [3094 KB, uploaded 12 December 2017]   |  

Abstract

Extreme landslides triggered by rainfall in hilly regions frequently lead to serious damage, including casualties and property loss. The frequency of landslide occurrences may increase under climate change, due to the increasing variability of precipitation. Developing urban areas outside landslide risk zones is the most effective method of reducing or preventing damage; however, planning in real life is a complex and nonlinear problem. For such multi-objective problems, genetic algorithms may be the most appropriate optimization tools. Therefore, in this study, we suggest a comprehensive land-use allocation plan using the Non-dominated Sorting Genetic Algorithm II to overcome multi-objective problems, including the minimization of landslide risk, minimization of change, and maximization of compactness. Our study area is Pyeongchang-gun, the host city of the 2018 Winter Olympics in Korea, where high development pressure has resulted in urban sprawl into the hazard zone where a large-scale landslide occurred in 2006. We obtain 100 Pareto plans that are better than the actual land use data for at least one objective, with five plans that explain the trade-offs between meeting the first and second objectives. The results can be used by decision makers for better urban planning and for climate change-related spatial adaptation. View Full-Text
Keywords: risk matrix; landslide hazard; non-dominated sorting algorithm II (NSGAII); land-use change; compactness; adaptation option risk matrix; landslide hazard; non-dominated sorting algorithm II (NSGAII); land-use change; compactness; adaptation option
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

Share & Cite This Article

MDPI and ACS Style

Yoon, E.J.; Lee, D.K.; Kim, H.G.; Kim, H.R.; Jung, E.; Yoon, H. Multi-Objective Land-Use Allocation Considering Landslide Risk under Climate Change: Case Study in Pyeongchang-gun, Korea. Sustainability 2017, 9, 2306.

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