Next Article in Journal
Quantitative Evaluation of the Sustainable Development Capacity of Hydropower in China Based on Information Entropy
Previous Article in Journal
Can More Environmental Information Disclosure Lead to Higher Eco-Efficiency? Evidence from China
Article Menu
Issue 2 (February) cover image

Export Article

Open AccessArticle
Sustainability 2018, 10(2), 520; https://doi.org/10.3390/su10020520

Development of a Liveable City Index (LCI) Using Multi Criteria Geospatial Modelling for Medium Class Cities in Developing Countries

1
Remote Sensing and GIS Field of Study, School of Engineering and Technology, Asian Institute of Technology, P.O. Box 4, Klong Luang, Pathumthani 12120, Thailand
2
Urban Environmental Management, School of Environment, Resources and Development, Asian Institute of Technology, P.O. Box 4, Klong Luang, Pathumthani 12120, Thailand
*
Author to whom correspondence should be addressed.
Received: 8 November 2017 / Revised: 5 February 2018 / Accepted: 5 February 2018 / Published: 15 February 2018
Full-Text   |   PDF [5843 KB, uploaded 15 February 2018]   |  

Abstract

In recent years, research and development on liveable cities has gained much attention due to the complexity and diversity of liveability standards. Due to the already-existing grand-scale developments commonly found in most capitals, research on liveability is often conducted in smaller semi-urban cities. Using Khon Kaen District in Thailand as a case study, we have developed a Liveable City Index (LCI) based on residents’ opinions and experts’ recommendations with the integration of Geographic Information System (GIS) techniques. The first stage of the survey (out of three), identifies marked variations in attitudes towards the liveability of a city. The survey evaluates nine significant factors (Safety, Economy, Environment, Education, Health, Transportation, Recreation, Population Density, and Public Utility) through the Analytical Hierarchy Process (AHP) for LCI development. The LCI map reveals that only 3.49% of the Khon Kaen area corresponds to the highest and high liveable city levels. This contradicts the earlier ranking of the city as the most liveable city in 2010, which was only based on economic factors. Moreover, the proposed method was applied to another area—the Muang district of Suphanburi in western Thailand—in order to test its reliability, and the results were found to be similar. This clearly supports the integration of residents’ participation in assessing the liveability of a city, and it is evident that this proposed approach can be adopted in other areas for LCI development. View Full-Text
Keywords: liveable city index (LCI); analytical hierarchy process (AHP); geographic information systems (GIS); spatial statistics; Khon Kaen district; Suphanburi district liveable city index (LCI); analytical hierarchy process (AHP); geographic information systems (GIS); spatial statistics; Khon Kaen district; Suphanburi district
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

Onnom, W.; Tripathi, N.; Nitivattananon, V.; Ninsawat, S. Development of a Liveable City Index (LCI) Using Multi Criteria Geospatial Modelling for Medium Class Cities in Developing Countries. Sustainability 2018, 10, 520.

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