Time filter

Source Type

Zhang H.,Central South University | Zhang H.,Changsha Planning Information Service Center | Zeng Y.,Central South University | Tan R.,Zhejiang University | Liu H.,Central South University
Acta Geographica Sinica | Year: 2011

Land use optimization allocation is one of the important aspects of sustainable regional land use. However, the current prevalent land use optimization allocation model, which is used for directing a sustainable land use system, needs to be improved, because the current models ignore the collaborative optimization of land uses in terms of quantitative structure, spatial pattern, and benefit. The objective of this paper is to establish a new model to solve the shortcomings, i.e., the RLUOA (Regional Land Use Optimization Allocation) model, which aims to achieve regional sustainable land use. The model is established through a multi-agent system, which defines respectively the decision making rules of the related agents including the central government of the region, the branches of the government that implements the downstream orders, and the land users practically using the land. The RLUOA model was applied to the simulation of land use optimization allocation in Changsha, a typical city located in central China. The simulation result shows that the model can reasonably allocate the land into different spatial units under the constraint of multi-objective, and achieve the collaborative optimization of land use in terms of quantitative structure, spatial pattern, and benefit. The resulted optimal land allocation meets the requirements of building economically feasible, socially acceptable, and environment-friendly land use pattern, and improves obviously the overall economic, ecological and social benefits of the land use in the region. Consequently, the model can provide auxiliary support and scientific references for the decision making associated with sustainable regional land use and for the general land use planning design. Source

Zhang H.,Central South University | Zhang H.,Changsha Planning Information Service Center | Zeng Y.,Central South University | Tan R.,Zheijang University
Acta Geodaetica et Cartographica Sinica | Year: 2011

Following the principles of maximal spatial and temporal planning efficiency as well as sustainable development, a spatio-temporal simulation and planning model for farmland conversion is developed with integration of multi-agent system and resource economics theory. The proposed model, which consists of some related components, i.e. , external environment, multi-agent system, decision-making framework, can explicitly represent agents' spatio-temporal decision-making behaviors and rules during the process of farmland conversion, simulate the developmental tendency of farmland conversion under different planning guidelines and provide auxiliary decision-making support for farmland resources planning. The proposed model is applied to the simulation and planning of farmland conversion in the core areas of Changsha, Zhuzhou, Xiangtan city cluster in 2006-2020, which is the national comprehensive reforms test areas of building resource-saving and environment-friendliness society in China. The simulation results and the analysis of ecosystem service loss under different planning guidelines show that the model is able to provide a spatial exploratory tool for spatio-temporal planning of farmland conversion. Source

Zhang H.,Central South University | Zhang H.,Changsha Planning Information Service Center | Zeng Y.,Central South University | Yin C.,Changsha Planning Information Service Center | Yu D.,Changsha Planning Information Service Center
Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University | Year: 2011

Under the constraint of multi-objective, multi-agent system and particle swarm optimization algorithm, for urban land use allocation with spatial optimization, was developed. The integration algorithm was applied to the simulation of spatial optimization allocation of urban land use in the core areas of Changsha. The allocation results show that the optimization level of each proposed objective is improved to a large extent compared with standard genetic algorithm and particle swarm optimization algorithm, and the model has the advantage of faster convergence rate and higher accuracy. Source

Liu X.,Central South University | Liu S.,Central South University | Chen Z.,Changsha Planning Information Service Center | Tang M.,Changsha Planning Information Service Center
Proceedings - 2012 International Conference on Computer Science and Service System, CSSS 2012 | Year: 2012

Floating cars equipped with GPS terminal distribute in road network as mobile detectors that can be used as an effective means of detecting the traffic conditions of road network, and taxi shall be an excellent detector for road network condition for its wide traffic coverage and broad time coverage. This paper carries on a quantitative analysis and evaluation on the condition of road network in the main urban area of Changsha city from three layers of 'point-line-area', that is based on the data of urban geographical information of Changsha and the GPS data from about 6000 taxies in urban as the source of data, and taking SQL Server 2005 as the data management platform, and using Trans CAD for the secondary development. This research result shows that it can provide a quantitative reference for making traffic management plan and the evaluation of performance on the traffic control facility from intuitive and quick judgment on the urban traffic condition by floating car GPS data. © 2012 IEEE. Source

Discover hidden collaborations