An RP-MCE-SOP Framework for China’s County-Level “Three-Space” and “Three-Line” Planning—An Integration of Rational Planning, Multi-Criteria Evaluation, and Spatial Optimization

Mingjie Song, DongMei Chen, Katie Woodstock, Zuo Zhang and Yuling Wu
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Mingjie Song: College of Public Administration, Central China Normal University, Wuhan 430079, China
DongMei Chen: Department of Geography and Planning, Queen’s University, Kingston, ON K7L 3N6, Canada
Katie Woodstock: Department of Geography and Planning, Queen’s University, Kingston, ON K7L 3N6, Canada
Zuo Zhang: College of Public Administration, Central China Normal University, Wuhan 430079, China
Yuling Wu: College of Public Administration, Central China Normal University, Wuhan 430079, China

Sustainability, 2019, vol. 11, issue 11, 1-23

Abstract: “Three-space” (including agricultural space, urban and rural construction space, and ecological space) and “three-line” (including urban development boundary, prime farmland control line, basic ecological control line) planning has been regarded as an essential measure for China’s city and county level “multiple-plan integration”. It handles the multiple planning objectives of development management, agricultural land preservation, and ecological resource protection. This article proposes a rational planning with multi-criteria evaluation and spatial optimization (RP-MCE-SOP) framework for China’s county-level “three-space” and “three-line” planning by following the rational planning (RP) model and taking advantages of multi-criteria evaluation (MCE) and spatial optimization (SOP) techniques. The framework includes five steps of building the SOP model, land suitability evaluation with MCE, optimization problem solving, post-processing of land allocation solutions, and applying post-processed solutions to “three-space” and “three-line” planning. The framework was implemented in Dongxihu District of Wuhan City with the Boolean aggregation and analytical hierarchy analysis (AHP) MCE techniques and the patch-based Non-dominated Genetic Algorithm (NSGA-II) SOP algorithm. The case study shows: (1) The framework is feasible and useful for assisting decision making in “three-space” and “three-line” planning. (2) The planning solutions protect ecologically sensitive spaces and high-quality agricultural land and plan future construction in the urban peripheral area or transportation convenient areas. (3) The solutions are useful for planning the hard boundaries for ecological resource protection and prime farmland preservation and setting both hard and soft boundaries for urban growth.

Keywords: China; multiple-plan integration; “three-space” and “three-line” planning; spatial optimization; multi-criteria evaluation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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