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 geo...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.展开更多
基于迈克尔·波特的价值链理论模型构建中国城市创意指数,包括7个1级指标和18个2级指标.采用变异系数加权法和TOPSIS(technique for order preference by similarity to ideal solution)分析法对中国20个城市的数据进行实证研究,分...基于迈克尔·波特的价值链理论模型构建中国城市创意指数,包括7个1级指标和18个2级指标.采用变异系数加权法和TOPSIS(technique for order preference by similarity to ideal solution)分析法对中国20个城市的数据进行实证研究,分析影响城市创意水平发展的驱动因素.结果表明,评价指标体系中,经济资本、人力资本、文化资本、技术资本、产业资本、环境资本和制度资本7个影响因素与创意城市的发展呈正相关,其中文化资本和产业资本是最重要的影响因素.根据各指标影响程度的差异化,指出创意城市发展所面临的挑战,提出加强文化建设、发展创意产业、重视创意人才的培养、营造创意氛围和改善制度环境等建议,以提升城市创意竞争力.展开更多
基金Under the auspices of National Natural Science Foundation of China(No.41371429,41401196)
文摘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.
文摘基于迈克尔·波特的价值链理论模型构建中国城市创意指数,包括7个1级指标和18个2级指标.采用变异系数加权法和TOPSIS(technique for order preference by similarity to ideal solution)分析法对中国20个城市的数据进行实证研究,分析影响城市创意水平发展的驱动因素.结果表明,评价指标体系中,经济资本、人力资本、文化资本、技术资本、产业资本、环境资本和制度资本7个影响因素与创意城市的发展呈正相关,其中文化资本和产业资本是最重要的影响因素.根据各指标影响程度的差异化,指出创意城市发展所面临的挑战,提出加强文化建设、发展创意产业、重视创意人才的培养、营造创意氛围和改善制度环境等建议,以提升城市创意竞争力.
