Problems of Land Use and Management in Development Zones and Enlightenment to Implementation of "Construction up to the Mountains" Strategy in Yunnan

ln the research, problems of land use and management in development zone were concluded, and analysis was made on the causes in order to draw lessons from land use and management in development zones. Furthermore, enlight-enment to implementation of ＂construction up to the mountains＂ strategy in the ar-eas similar to Yunnan was explored, which provides references for developing of＂construction up to the mountains＂ strategy and protecting of highly-qualified cultivat-ed lands in dam regions.

Multi-scenario Simulation and Spatial-temporal Analysis of LUCC in China's Coastal Zone Based on Coupled SD-FLUS Model

Increased human activities in China's coastal zone have resulted in the depletion of ecological land resources.Thus,conducting current and future multi-scenario simulation research on land use and land cover change(LUCC)is crucial for guiding the healthy and sustainable development of coastal zones.System dynamic(SD)-future land use simulation(FLUS)model,a coupled simulation model,was developed to analyze land use dynamics in China's coastal zone.This model encompasses five scenarios,namely,SSP1-RCP2.6(A),SSP2-RCP4.5(B),SSP3-RCP4.5(C),SSP4-RCP4.5(D),and SSP5-RCP8.5(E).The SD model simulates land use demand on an annual basis up to the year 2100.Subsequently,the FLUS model determines the spatial distribution of land use for the near term(2035),medium term(2050),and long term(2100).Results reveal a slowing trend in land use changes in China's coastal zone from 2000–2020.Among these changes,the expansion rate of construction land was the highest and exhibited an annual decrease.By 2100,land use predictions exhibit high accuracy,and notable differences are observed in trends across scenarios.In summary,the expansion of production,living,and ecological spaces toward the sea remains prominent.Scenario A emphasizes reduced land resource dependence,benefiting ecological land protection.Scenario B witnesses an intensified expansion of artificial wetlands.Scenario C sees substantial land needs for living and production,while Scenario D shows coastal forest and grassland shrinkage.Lastly,in Scenario E,the conflict between humans and land intensifies.This study presents pertinent recommendations for the future development,utilization,and management of coastal areas in China.The research contributes valuable scientific support for informed,long-term strategic decision making within coastal regions.

Coordinative Development Between Land Use Change and Regional Population-Resources-Environment-Development System—A Case Study of Jiangsu Province

Land use change has significant influence on the operation of the PopulationResources-Environment-De-velopment (PRED) System. Moderate land use is the key factor to ensure the coordinative and sustainable development between land use and PRED system. Based on the internal relationship between land use and PRED system, a PRED evaluation index system and a Press-Status-Response (PSR) model were established in this study. According to the expounding on the mechanism of the PSR model, we investigated the coordinative development between the changes of regional land use and PRED system taking Jiangsu Province as an example. The results showed that the orders of the Synthetic Index of Land Use (SILU) and the Variation of PRED Index (VPI) in Jiangsu are both the southern Jiangsu>the central Jiangsu>the northern Jiangsu. A cubic curve model was used to fit the relationship between the VPI and SILU. The inflection point of VPI was situated in 5.0 of SILU. When SILU was below 5.0, VPI increased with SILU, which will be helpful to the coordinative development between land use and PRED system. Based on those results, it is suggested that the land use degree of the southern Jiangsu, especially that of Nanjing City, should be moderately controlled at present, while land resources of the central Jiangsu and the northern Jiangsu should be further exploited.

Research on changes of coastal land use intensity in bay area during past 30 years——A case study of Xiangshan Bay

Taking the coastal zone of Xiangshan Bay as a study area,based on the information of four TM images of1985,1995,2005,and2015,this study divided the land use types into8categories.Then,through calculating4kinds of index models:land-use dynamic index,conversion matrix,land use structure information entropy,and comprehensive index of land development and utilization intensity,the speed,structure,degree,and the spatial-temporal changes in the land development and utilization of Xiangshan Bay coastal zone from1985to2015are researched and analyzed.Results showed that:from1985to2015,the expansion speed of aquaculture land and salt pan of Xiangshan Bay coastal zone was the fastest,the highest dynamic degree could up to11.97%,construction land expansion rate of the second,with significant increase in the area.Intertidal zone reduced by a maximum speed,and the area of farmland decreased obviously.In that30years,the main land type change direction of Xiangshan Bay coastal zone was the farmland turn into construction land,followed by forest turn into farmland.Information entropy increased by period,the land use structure homogeneity constantly strengthened and regional development became gradually mature.The change rate of land use intensity in each period was greater than zero,and the intensity of land development and utilization in Xiangshan Bay coastal zone was enhanced continuously.

Optimization and Regulation Policy for Land Use Changes Based on Low-carbon Emission in Developed Regions of China

Land use and cover change(LUCC) is one of the important causes of the Earth’s carbon cycle imbalances resulting from failure in optimizing land use. The solution to this problem has been the hotspot of research in land and environmental science. We took 'low carbon', 'energy saving' and 'high-efficiency' as the goals of land use optimization,and integrated Markov-CA(Cellular Automaton),the Grid-Fractal model and GIS,in order to study carbon emission objective function,to establish a simulation method for land use spatial allocation optimization,to evaluate the effect of the method on carbon emissions. Regulation policy on three types of land use spatial allocation was proposed,including 'low-carbon type', 'low-carbon-economic type' and 'economic type'. We applied the method to analyze the land use spatial allocation in Taixing City of the 'Yangtze River Delta' regions in China,and obtained the following results:(i) The three optimization types would improve carbon emissions by 3. 21%,1. 80% and 0. 36% respectively in 2020,compared with 2010;(ii) The actual planning for 2020 was close to the 'low-carbon-economic type';(iii) The optimization method and regulation policy,combining local optimization and global control,could meet the sustainable multi-objective requirements for low-carbon constraints of land use spatial allocation. The result of this research could also serve as a reference for exploration into patterns of regional low-carbon land use and measures for energy saving and emission reduction.

Spatial Allocation of Land Use in Luodeli Village,Luquan County,Yunnan Province from the Perspective of Rural Complex

Conceptually,rural complex is actually a comprehensive sustainable development model for new agricultural and rural areas across industries and functions.From the perspective of rural complex,combined with the actual case of Idyllic Orient in Yangshan,Wuxi,the first rural complex in China,this paper analyzes the current benefits of relevant projects.Considering the basic situation of Luodeli Village in Luquan County,Yunnan Province,the direction,development model and spatial allocation of land use are initially determined.Finally,the overall development path is proposed for Luodeli Village in Luquan County,in order to provide some ideas for its next development.

Integrated Approach to the Vital Mechanism Theory and Ant Colony Algorithm for Optimized Land Use Allocation: A Case Study of the Liangjiang New Area in Chongqing

Optimal allocation of land use is essential to promote regional economic and social development.However,research on such allocations in development zones is limited.This paper proposes a new land use allocation method for development zones and tests its feasibility.Based on prior research,this study predicts the developmental stage of a development zone and sets the objective functions and constraint conditions accordingly.This paper then measures the conversion relationship between the land use types in an unit according to the land use suitability results and the vital mechanism theory and uses the ant colony algorithm to construct a land use optimization model on the basis of this conversion relatonship.The model is then applied successfully to a case study of the Liangjiang New Area,Chongqing,China.The results show that the vital mechanism theory better reflects the relationship between land use types.The economic benefits increase 3.5 times and compactness improves by 46.5%between the initial year(2009)and the optimized year(2020),after the proposed model is applied.

The Evolution of the Use of Space:Lessons from Beijing

Specific changes in land use can,and often do,occur when any social economic system moves from one form to another.When traditional societies transit from traditional land uses to philosophically determined land uses,as in the case ofthe introduction of socialism or the transition from system ofplanned economy to a market system,suchchanges seem concentrated and perhaps exacerbated.Certainly,such circumstances provide the opportunity to see the process of social philosophy and its impact upon land use in a telescoped fashion.The discovery and explanation of these elements might provide some insight into basic human behavior, and its relationship to social control and how people organize space both with and without control. This paper presents the results of observations of changes in land useas they have occurred during the course of transitional economic development in Beijing, China for the past decade.It suggests three new generic categories that can be applied to any culture or society.

Evaluation System and Method of Industrial Park Renewal:A Case Study of the Starting Area of Handan City

With the rapid development of urbanization,the industrial parks originally located in the suburbs are gradually incorporated into the urban center.Industries that fail to follow the transformation of urban economic development and are forced to close,or enterprises that move out without conforming to the environment,become a gray area within the city.Most of the existing assessments are conducting single assessment of some indicators,but than their actual benefits.Through the field investigation on the starting area of Handan Economic Development Zone,and the evaluation on the nature of land use,development intensity,investment and output,and idle land,inefficient land use in the park is identified.According to different evaluation results,different update and promotion methods are put forward.The research could provide a new evaluation method and idea for subsequent renewal and development of urban industrial parks.

宁夏开发区土地集约利用时空分布特征与驱动因素分析

开发区土地集约利用是新时代区域高质量发展的重要支撑,二者的关系成为当前的研究热点。以宁夏开发区为例,评价分析2018—2021年土地集约利用的时空分布特征,从经济质量、创新驱动、开放环境、绿色转型和结构优化5个维度选取影响因素,应用时空地理加权回归(GTWR)模型探究其对集约用地的驱动机理。结果表明:(1)宁夏开发区土地集约水平呈现北部引黄灌区>中部干旱区>南部山区的分布格局,研究时段内差异缩小。(2)GTWR模型可以有效捕捉驱动机制的时空差异,绿色转型、结构优化是土地集约利用的主导驱动因素,创新驱动、经济质量是次要因素。(3)各因子对集约用地的驱动作用呈现显著的时空分异性,固定资产投资增长率等对北部引黄灌区开发区的驱动作用更显著,工业企业总收入增长率等则是中南部开发区的主要影响因素;单位工业收入地耗对集约水平的影响小幅下降,其他因子逐渐增强。研究揭示了高质量发展目标下各开发区集约用地的动力机制,有助于为宁夏开发区土地利用的分区管控提供政策参考,也为西部黄河流域高质量园区建设贡献一份力量。

Evolution Characteristics of Urban Land Use Efficiency under Environmental Constraints in China

In the context of high-quality economic development and coordinated regional development,this paper measures the urban land use efficiency of 275 prefecture-level cities in China from 2003 to 2016,taking into account the unexpected output(environmental pollution),and explores the temporal and spatial evolution of urban land use efficiency through kernel density estimation and spatial autocorrelation analysis.The results show that:(1)From 2003 to 2016,China’s urban land use efficiency showed an overall fluctuating growth,but it remained at a low level.The mean value of urban land use efficiency has been gradually decreasing in east,west and central regions.(2)In the whole country and the eastern,central and western regions,the regional differences have been increasing,and the efficiency values of the whole country and the east have become polarized.(3)Urban land use efficiency shows a weak spatial positive correlation,but the degree of spatial agglomeration is increasing.High-high agglomeration areas are mostly distributed in the southeastern coastal areas,and extend into the central region,while most of the high-low polarized areas are the capital cities of the central and western regions.The low-high depressed areas are scattered around the high-value accumulation areas,some of which have turned into high-high agglomeration areas during the study period,while the low-low homogeneous areas are mainly distributed in the central,western and northeastern regions.Therefore,it is proposed that strengthening the utilization of urban stock land,strengthening the regional cooperation mechanism,and formulating policies which improve the efficiency of land use are effective ways to promote the intensive and economical use of urban land,as well as regional coordinated development.

The Evolution Pattern and Simulation of Land Use in the Beijing Municipal Administrative Center(Tongzhou District)

Beijing Municipal Administrative Center(Beijing MC)in Tongzhou District has inherited the non-capital core functions of Beijing’s central urban area,and its rapid construction and development urgently require a scientific understanding of the pattern of land use evolution in the region.This paper analyzes the pattern of land use evolution in Tongzhou District over the past 40 years,from 1980 to 2020.According to the historical evolutionary characteristics of land use and urban development planning goals,combined with the driving factors of cultural tourism development,the Future Land-use Simulation(FLUS)model is used to simulate the spatial distribution of land use in Beijing MC(Tongzhou District)in 2035 under three scenarios of urbanization acceleration,deceleration and sustainable development.The results show three major trends.(1)Beijing MC(Tongzhou District)is dominated by urban development and construction.During the high-speed urbanization stage from 1980 to 2010,the urban expansion pattern of“along the Sixth Ring Road and along the Grand Canal”was formed.During the low-speed urbanization stage from 2010 to 2020,the land distribution was stable,and Tongzhou District formed a pattern of urban-rural differentiation and land intensification from northwest to southeast.As a typical area of Tongzhou District’s urbanization,Beijing MC has the same characteristics of the temporal and spatial evolution as Tongzhou as a whole.(2)By 2035,there are significant differences in land use among the three scenarios with respect to the magnitude of change and spatial distribution.The area and distribution of ecological land under the urban sustainable development scenario are optimal,which is conducive to the realization of sustainable urban development.In analyzing the degree of conformity with the three Beijing MC zoning plans,the prediction simulation under the sustainable development scenario is highly consistent with the land use of the“Beijing Municipal Administrative Center Regulatory Detailed Planning(Block Level)(2016–2035)”(hereinafter referred to as“Planning”)issued by the municipal government.However,there are certain deviations between the simulation predictions in the cultural tourism function area and the livable living scenery area and the corresponding“Planning”expectations.During the urban construction process,the internal ecological land area still needs to be increased.(3)Tongzhou District may lack a close connection between the urban and rural areas in the southeast.Potential risks such as the imbalance in the development of northern and southern townships require further attention in the development process.The prediction and simulation results of the model can provide certain data and methodological support for the construction of a harmonious and livable city in Beijing MC(Tongzhou District).

经济发达区耕地非粮化景观格局特征及分区整治研究——以宁波市鄞州区为例

研究目的:解析经济发达区非粮化耕地景观格局特征,科学确定非粮化耕地整治的优先次序及分区,以期为耕地非粮化空间治理提供参考。研究方法:形态学空间格局分析(MSPA)、综合评价法和四象限法。研究结果:(1)研究区耕地非粮化率为37.6%,非粮化类型以经济作物种植为主,其次为苗木种植和水产养殖,在空间分布上呈现由东南远郊向西北城区递减的分布格局;(2)研究区非粮化耕地以核心和边缘耕地类型为主,核心耕地和边缘耕地的非粮化利用分别以水产养殖和经济作物为主,穿孔和环岛耕地类型较少;(3)通过整治适宜性和紧迫性评价可明确非粮化整治的优先次序,研究区耕地非粮化优先整治区、重点整治区、储备整治区和一般整治区的占比分别为40.1%、15.1%、24.5%和20.3%,不同分区的类型组合与整治时序安排可为非粮化差异化整治策略提供依据。研究结论:应重视非粮化耕地景观格局特征,结合耕地耕作条件、利用状态、管控政策等组合差异,合理制定耕地非粮化分区整治策略以提升治理效率。

开发区土地集约利用研究——以江苏省为例

科学确定开发区土地集约利用水平对于区域可持续发展有着重要意义。在分析开发区土地集约利用内涵及其发展阶段的基础上,选取14个指标构建土地集约多元回归驱动力模型,对江苏省17个国家级和省级开发区进行实证分析。结果表明:(1)土地闲置是开发区土地集约利用首要限制性因素,依据产出指标影响程度高于土地、资金的投入指标可知,江苏省开发区土地集约利用处于土地利用转换期;(2)苏南地区开发区土地集约利用水平高于苏中和苏北地区。最后,提出了相应的政策建议。

利用云模型评价开发区的土地集约利用状况

针对当前开发区土地集约评价中权重确定方法受主观性影响较大的问题,该文提出基于云模型的权重确定方法。将云模型引入开发区土地集约利用评价,并以桂林国家级高新技术产业开发区为例,进行实证研究。研究结果表明桂林高新区土地利用集约度综合分值为0.889,用地供需基本平衡;从土地利用状况而言,其土地利用强度较高、工业用地水平较强;就用地效益而言,工业用地产出强度较好,高新技术产业用地产出强度较高;从管理绩效来看,截止评价时点,区内无闲置土地,监管成效显著。基于云模型确定权重值的方法具备结果更加客观,算法容易实现的优点,有助于促进土地集约利用的科学评价,为桂林高新区土地集约利用政策依据。

非高新开发区土地集约利用评价指标体系SEM分析

研究目的:依据全国国家级非高新开发区数据样本,对非高新开发区土地集约利用评价指标体系的合理性和科学性进行定量分析。研究方法:结构方程模型。研究结果:只有5个指标的因子荷载小于0.3,未能很好地解释其对应的潜变量;其他的因子荷载均在0.3和1之间,很好地解释了其对应的潜变量,指标选取较合理。土地利用状况和管理绩效之间的相关系数为0.98,偏高。研究结论:用地效益评价指标选取得较好,用地结构的评价指标次之,管理绩效评价指标的选取欠佳。整体来看,非高新开发区土地集约利用评价指标体系总体比较合理,只有个别指标的归类需要优化,该指标体系能够客观合理地评价开发区集约利用程度。

基于生态敏感性评价的城市土地利用模式研究——以长春净月经济开发区为例

生态敏感性高的城市地域的土地利用是城市规划、建设、管理过程中比较"棘手"的问题之一,经常因为环境保护与建设发展的矛盾而使之处于两难的境地。本文在总结和思辨一般性城市土地利用模式的基础上,借助GIS技术对长春市净月经济开发区的土地利用现状进行生态敏感性评价。结果显示,因特定的水域和人工林环境导致净月区总体上生态敏感性较高,按照划分的极高、高、中、低、非敏感5种生态敏感区,其中度及以上生态敏感区占全区50%左右。作者进一步以生态敏感性分区为前提,总结提出其土地利用的空间结构模式、类型结构模式和管理模式,并指出其中后二者尚在不断完善过程中。

基于模糊物元模型的开发区土地集约利用评价

为探求更合适的开发区土地集约利用评价方法,文章以南京市11个典型开发区为例,运用模糊物元分析法和灰色关联分析法对开发区土地集约利用水平进行评价,并与多因素综合评价法进行比较分析。研究结果表明:南京各开发区之间的集约用地水平呈现出明显的差异,只有南京高新技术产业开发区、南京经济技术开发区的土地集约利用级别为"高度集约级",其余的开发区土地集约利用级别为"中度集约级"和"轻度集约级";南京各开发区集约用地主要限制因子各不相同,但主要为综合容积率、工业用地综合容积率、工业用地固定资产投入强度、工业用地产出强度等;与多因素综合评价法相比,采用模糊物元模型不仅能反映评价对象的综合集约等级,也能反映评价对象单项指标的集约等级,还能反映评价对象或评价对象单项指标在所属集约等级的稳定状态和转化趋势,反映的信息更丰富,是一种更适应土地集约利用评价的方法。

开发区土地要素对经济增长的贡献--基于江苏省面板数据的估计与测算

通过构建含有土地要素的生产函数,并与面板数据模型相结合,分析了土地要素对江苏省开发区经济增长的作用。结果显示:(1)江苏省开发区整体正处于规模报酬递增阶段,苏南处于规模报酬不变阶段,苏中、苏北处于规模报酬递增阶段;(2)土地要素对开发区经济增长有正面的推动作用,但开发区经济增长对资本要素更为敏感;(3)土地要素容易被其他要素替代,尤其容易被资本替代;(4)固定资产投资仍是开发区经济增长的主要推动力。未来一段时间内,土地要素的作用将继续削弱,资本要素仍然起到主要作用,土地集约利用水平将不断提高。

太原市高新开发区土地利用优化配置研究

研究目的:提出山西省太原市高新区土地利用优化配置建议,探讨开发区土地资源利用的优化配置机制。研究方法:在分析土地利用结构的基础上,结合太原市高新技术产业及社会经济发展需求和规划控制指标,建立线性规划模型求解土地利用结构的优化值,并借助CA-Markov模型求出2015年高新区土地资源利用结构的空间优化结果。研究结果:太原市高新区南部地区的农用地和其他用地主要开发为工商金融用地和居住用地,绿地、道路用地和林地也有扩大。研究结论:线性规划结合CA-Markov模型的方法,能较好地解决土地资源的优化配置问题。