Wensheng Zhou

An urban-rural spatial development planning platform using GIS

Over the past ten years, the development of urban planning support systems has made remarkable progress, yet most of urban planning support systems based on GIS do not readily fit the changing professional requirements of the urban-rural spatial development planning because they are far too generic, complex, inflexible and incompatible with most spatial development planning tasks. Accordingly, how to effectively build up a platform orienting towards planning tasks and planners rather than technology itself by using GIS is still a challenge. The research in this paper analyzes the status quo of urban-rural spatial planning technological system and methodology and proposes the idea of design, development and application of urban-rural spatial development planning platform (URSDPP) based on the GIS technology. The methodology and key technologies needed for building URSDPP are discussed. The logical framework and software modules are illustrated which clearly manifest how GIS work together with other technologies. Three case studies are introduced which proves the advancement, reliability and suitability of URSDPP.

Agent-based simulation for urban emergency response planning

The complexity inherent in urban emergency response brings lots of challenge for decision making. An effective test bed for analyzing the dynamics of emergency response for different scenarios and evaluating the strength of rescue strategies is crucial for improving disaster planning, preparedness and mitigation. Computer Simulation is becoming an increasingly important tool which provides an effective and low-cost approach to address this problem. The agent based approach has been accepted in various areas and multi agent systems have constituted one of the key technologies in disaster rescue simulations, since interactions with human activities should be implemented within them. In this paper agent-based disaster simulation system and its components are discussed, is s u es t h at simulation system will have when it is applied for practical usages are also discussed. These discussions will delve into future research topics in developing practical disaster simulation systems.

Simulation of city development using cellular automata and agent based integrated model — A case study of Qingdao city

This paper first developed an integrated model of urban land use changing using cellular automata (CA) and agent technique. In this model, every cell not only has the current state information of the cell, but also has the land use changing related information such as policy and natural condition information; the agents with different roles are used to process the information contained in the cell and then decide the state of the next time step of the cell. For instance, the natural condition information analysis agent is in charge of processing natural condition information; the policy information analysis agent is in charge of processing policy information; surrounding sensor agent is in charge of sensing the state of the cells in the neighborhood; and the logical decision agent makes the logical decision basing on the analytical results processed by the agents mentioned above, and decides whether the cell change its state in the next time step. This model can be extended according to the increasing understanding of the development mechanism of city which is known as the complex giant system. Thanks to the addition of multi-role agents, the model has a global vision of the focused area and thereby the model has complexity and flexibility in processing which can effectively simulate urban city development. Qingdao city has changed to an important seaport, tourist, information technology and ocean science city in China from a small fishery village in the past over 100 years. The city has experienced three main phases of development, and the driving forces behind each development are different. In this paper, the model is used to simulate the three development scenes in the Qingdao city history. In the simulation, the driving forces in each phase are quantified and implemented, and the agents with different roles are assigned specific algorithms correspondingly. The simulated results are compared with the maps or remote sensing. Although the quality of the fine comparison of the simulated results and the real data is affected by the poor real data quality because the real data of Qingdao City before 1949 is hard to obtain, the results show that the model has a good capability to simulate the citys development with the selected parameters of Qingdao city. The model has a good potential to analyze the driving forces related to city development and predict the city development under different scenes.

Simulation of urban land use change using Cellular Automata and Agent integrated model

An integrated model of Cellular Automata (CA) and Agent is proposed based on the research on the recent study of CA model and Agent model on simulation of urban land use change. This model makes a fusion of CA models self-organization and Agent models flexible computing. And a system of urban land use simulation is developed based on the model. The system makes three simulations under different scenes using data of Qingdao city. The result shows that the system can well process information of land development status, nature condition and land use policy, and can well simulation the land use change in the past 30 years of Qingdao city.

Research and application of planning support system based on 3S technique for post-disaster reconstruction after Wenchuan Earthquake in China

This paper first discusses the technical route for applying 3S technique in post-disaster reconstruction planning, and gives the general framework of the post-disaster reconstruction planning supporting system (PRPSS). Furthermore the database model and the function model of PRPSS is analyzed. At last the paper gives the technical methods to achieve the system and the application cases of the system in the post-disaster reconstruction planning. The practice indicates that PRPSS developed with 3S technique can be used to many aspects of the post-disaster reconstruction planning, such as the information extraction of geological disasters, disaster situation assessment, site selection analysis, thematic mapping and so on. The post-disaster reconstruction planning results can be made more scientific and rational by using PRPSS.

Extracting Wetland Information Form SPOT5 Imagery in Nansihu Area of Shandong Province

Wetland is a kind of natural resource with fast dynamic changing. The study of wetland information extracting way which is fast and measurable is front of wetland remote sensing. SPOT5 imagery has high spatial resolution and multi-spectral resolution, which provided a rich, reliable and accurate source data for wetland resources investigation. This paper took the Nansihu wetlands as the study area and combining with the characteristics of SPOT5 imagery discussed wetland resources investigation methods. In the study, SWIR band threshold method was used to extract information of water bodies, Spectral Relations method was used to get rid of shadows from extraction of water bodies and Visual Interpretation method based on GIS information was used for the extraction of other type wetlands. Using above method, Nansihu area 12 categories wetlands information were extracted. Practice proved that this method was simple and practical.

Research of National Historic City Dynamic Monitoring by Remote Sensing: A Case Study of Kashgar Historic Urban Area

Historic Cities in China are facing dual pressures both city construction and tourism development. Monitoring the human factor using RS monitoring technology, the changes can be found and the cause of changes can be analyzed. Taking the Kashgar Historic Urban Area for example, using the 2002, 2005 and 2009 three high-resolution remote sensing images, the information of the Kashgar Historic Urban Area changes has been extracted; the reasons for these changes have been analyzed. The result shows that the original historic features of the Kashgar Historic Urban Area have been maintained. Urban infrastructure construction and public space has made great progress. Human settlements have been greatly improved.

The Study of Emergency Response Dynamic Geographical Process Simulation Based On the Multi-Agent

Combining the Multi-Agent system (MAS) and GIS to simulate the human activity’s dynamic geography process is a hotspot in currently research. High frequency of disasters has made the public safety emergency become the focus of attention. Modeling and simulation of emergency response can help people understand the dynamic complex process of it, and effectiveness and feasibility of emergency planning. But emergency response process involves many factors, so the model design and simulation system development face many difficulties. In this paper, through an experimental model we carried out the simulation to the large-scale emergency response. Based on the Repast and ArcGIS the simulation system prototype platform was established and more than 5,000 agents’ interactions were analyzed. Experimental results show that multi-agent-based simulation is an effective way to assist emergency management, emergency planning and emergency response decision-making.

Settlement information management system of Beijing-Shanghai High-Speed Railway based on Google Map Service

The Beijing-Shanghai High-speed Railway is a national major project which has higher standard and stricter requirement. It is necessary to monitor subsidence information dynamically during construction to ensure safety in operation. Internet and Geographic Information System (GIS) have a powerful advantage in spatial information management, analysis, statistics and sharing. This paper discussed the construction procedure and method of Subsidence Information Management System of Beijing-Shanghai High-speed Railway Based on Google Map Service, developed and implemented Subsidence Information Management System. The result indicates that Internet Information Technology can be put into use in construction for management and monitoring.

Assessing Land Cover Performance in the Grand Canal of China using Spot Data - A Case Study of Qingkou Region

Traditional land cover performance from remote sensing imagery using the statistical characteristics of the pixel have encountered a lot of difficulties in dealing with the issue of classification of high-resolution images. Object-oriented classification techniques based on image segmentation are a good solution to this problem. Qingkou region, the Beijing-Hangzhou Grand Canal and other eight natural rivers junctions, has take break dramatic changes in the last 50 years, therefore, research on land cover performance in this region have great significance. In this paper, object-oriented classification method was used to extract land cover information from SPOT5 imagery in Qingkou region. The imagery was segmented in two scale parameters to create homogeneous objects for different classes. And the overall classification stability is up to more than 87%. It is available to provide research data for land cover performance evaluation in Beijing-Hangzhou Grand Canal and development research on cities along the canal.