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Assessing Suitability of Rural Settlements Using an Improved Technique for Order Preference by Similarity to Ideal Solution

LIU Yanfang CUI Jiaxing KONG Xuesong ZENG Chen

LIU Yanfang, CUI Jiaxing, KONG Xuesong, ZENG Chen. Assessing Suitability of Rural Settlements Using an Improved Technique for Order Preference by Similarity to Ideal Solution[J]. 中国地理科学, 2016, 26(5): 638-655. doi: 10.1007/s11769-016-0821-2
引用本文: LIU Yanfang, CUI Jiaxing, KONG Xuesong, ZENG Chen. Assessing Suitability of Rural Settlements Using an Improved Technique for Order Preference by Similarity to Ideal Solution[J]. 中国地理科学, 2016, 26(5): 638-655. doi: 10.1007/s11769-016-0821-2
LIU Yanfang, CUI Jiaxing, KONG Xuesong, ZENG Chen. Assessing Suitability of Rural Settlements Using an Improved Technique for Order Preference by Similarity to Ideal Solution[J]. Chinese Geographical Science, 2016, 26(5): 638-655. doi: 10.1007/s11769-016-0821-2
Citation: LIU Yanfang, CUI Jiaxing, KONG Xuesong, ZENG Chen. Assessing Suitability of Rural Settlements Using an Improved Technique for Order Preference by Similarity to Ideal Solution[J]. Chinese Geographical Science, 2016, 26(5): 638-655. doi: 10.1007/s11769-016-0821-2

Assessing Suitability of Rural Settlements Using an Improved Technique for Order Preference by Similarity to Ideal Solution

doi: 10.1007/s11769-016-0821-2
基金项目: Under the auspices of National Natural Science Foundation of China (No. 41371429, 41401196)
详细信息
    通讯作者:

    CUI Jiaxing.E-mail:cuijiaxing@whu.edu.cn

Assessing Suitability of Rural Settlements Using an Improved Technique for Order Preference by Similarity to Ideal Solution

Funds: Under the auspices of National Natural Science Foundation of China (No. 41371429, 41401196)
More Information
    Corresponding author: CUI Jiaxing.E-mail:cuijiaxing@whu.edu.cn
  • 摘要: Land suitability assessment is a prerequisite phase in land use planning; it guides toward optimal land use by providing information on the opportunities and constraints involved in the use of a given land area. A geographic information system-based procedure, known as rural settlement suitability evaluation (RSSE) using an improved technique for order preference by similarity to ideal solution (TOPSIS), was adopted to determine the most suitable area for constructing rural settlements in different geographical locations. Given the distribution and independence of rural settlements, a distinctive evaluation criteria system that differed from that of urban suitability was established by considering the level of rural infrastructure services as well as living and working conditions. The unpredictable mutual interference among evaluation factors has been found in practical works. An improved TOPSIS using Mahalanobis distance was applied to solve the unpredictable correlation among the criteria in a suitability evaluation. Uncertainty and sensitivity analyses obtained via Monte Carlo simulation were performed to examine the robustness of the model. Daye, a resource-based city with rapid economic development, unsatisfied rural development, and geological environmental problems caused by mining, was used as a case study. Results indicate the following findings: 1) The RSSE model using the improved TOPSIS can assess the suitability of rural settlements, and the suitability maps generated using the improved TOPSIS have higher information density than those generated using traditional TOPSIS. The robustness of the model is improved, and the uncertainty is reduced in the suitability results. 2) Highly suitable land is mainly distributed in the northeast of the study area, and the majority of which is cultivated land, thereby leading to tremendous pressure on the loss of cultivated land. 3) Lastly, 12.54% of the constructive expansion permitted zone and 8.36% of the constructive expansion conditionally permitted zone are situated in an unsuitable area, which indicates that the general planning of Daye lacks the necessary verification of suitability evaluation. Guidance is provided on the development strategy of rural settlement patches to support decision making in general land use planning.
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  • 收稿日期:  2015-06-29
  • 修回日期:  2015-10-16
  • 刊出日期:  2016-10-27

Assessing Suitability of Rural Settlements Using an Improved Technique for Order Preference by Similarity to Ideal Solution

doi: 10.1007/s11769-016-0821-2
    基金项目:  Under the auspices of National Natural Science Foundation of China (No. 41371429, 41401196)
    通讯作者: CUI Jiaxing.E-mail:cuijiaxing@whu.edu.cn

摘要: Land suitability assessment is a prerequisite phase in land use planning; it guides toward optimal land use by providing information on the opportunities and constraints involved in the use of a given land area. A geographic information system-based procedure, known as rural settlement suitability evaluation (RSSE) using an improved technique for order preference by similarity to ideal solution (TOPSIS), was adopted to determine the most suitable area for constructing rural settlements in different geographical locations. Given the distribution and independence of rural settlements, a distinctive evaluation criteria system that differed from that of urban suitability was established by considering the level of rural infrastructure services as well as living and working conditions. The unpredictable mutual interference among evaluation factors has been found in practical works. An improved TOPSIS using Mahalanobis distance was applied to solve the unpredictable correlation among the criteria in a suitability evaluation. Uncertainty and sensitivity analyses obtained via Monte Carlo simulation were performed to examine the robustness of the model. Daye, a resource-based city with rapid economic development, unsatisfied rural development, and geological environmental problems caused by mining, was used as a case study. Results indicate the following findings: 1) The RSSE model using the improved TOPSIS can assess the suitability of rural settlements, and the suitability maps generated using the improved TOPSIS have higher information density than those generated using traditional TOPSIS. The robustness of the model is improved, and the uncertainty is reduced in the suitability results. 2) Highly suitable land is mainly distributed in the northeast of the study area, and the majority of which is cultivated land, thereby leading to tremendous pressure on the loss of cultivated land. 3) Lastly, 12.54% of the constructive expansion permitted zone and 8.36% of the constructive expansion conditionally permitted zone are situated in an unsuitable area, which indicates that the general planning of Daye lacks the necessary verification of suitability evaluation. Guidance is provided on the development strategy of rural settlement patches to support decision making in general land use planning.

English Abstract

LIU Yanfang, CUI Jiaxing, KONG Xuesong, ZENG Chen. Assessing Suitability of Rural Settlements Using an Improved Technique for Order Preference by Similarity to Ideal Solution[J]. 中国地理科学, 2016, 26(5): 638-655. doi: 10.1007/s11769-016-0821-2
引用本文: LIU Yanfang, CUI Jiaxing, KONG Xuesong, ZENG Chen. Assessing Suitability of Rural Settlements Using an Improved Technique for Order Preference by Similarity to Ideal Solution[J]. 中国地理科学, 2016, 26(5): 638-655. doi: 10.1007/s11769-016-0821-2
LIU Yanfang, CUI Jiaxing, KONG Xuesong, ZENG Chen. Assessing Suitability of Rural Settlements Using an Improved Technique for Order Preference by Similarity to Ideal Solution[J]. Chinese Geographical Science, 2016, 26(5): 638-655. doi: 10.1007/s11769-016-0821-2
Citation: LIU Yanfang, CUI Jiaxing, KONG Xuesong, ZENG Chen. Assessing Suitability of Rural Settlements Using an Improved Technique for Order Preference by Similarity to Ideal Solution[J]. Chinese Geographical Science, 2016, 26(5): 638-655. doi: 10.1007/s11769-016-0821-2
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