Auflistung nach Autor:in "Vogel, Rico"
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- KonferenzbeitragApplication of the Analytic Hierarchy Process in the Multiple Criteria Decision Analysis of Retention Areas for Flood Risk Management(Environmental Informatics and Systems Research, 2007) Thinh, Nguyen Xuan; Vogel, RicoProblems of flood risk management are inherently complex, multifaceted, and involving many decision makers with conflicting priorities. Multiple criteria decision analysis (MCDA) can help to manage this complexity and decision support by combining human judgments and information in a structured decision framework. Our paper gives first a brief description of the method “Analytic Hierarchy Process” (AHP) and highlights some advantages of the AHP in the land suitability analysis and then reports about the development of a methodology by linking of Compromise Programming (CP), AHP, and GIS for the multiple criteria decision analysis of retention areas in the German part of the Elbe River flood plain. The authors describe also the development of indicators and the implementation of the methodology as an ArcGIS Extension and the AHP as a PHP web program. Keywords: Analytic Hierarchy Process, Compromise Programming, GIS, ArcGIS Extension, PHP Web Program, Land Suitability Analysis, Retention Areas, Flood Risk Management, Elbe River.
- KonferenzbeitragFurther Development of a Methodology for the Ecological Evaluation of Land-Use Options and Application to the Dresden Elbe-Region(Managing Environmental Knowledge, 2006) Thinh, Nguyen Xuan; Vogel, RicoAssessments are immanent components of spatial planning and one of the central tasks in environmental management particularly with regard to flood risk management. Mitigation of flood risks can be achieved through various structural and non-structural measures. Comparison of different measures and evaluation of their impacts is based on the multiple criteria evaluation. In this paper we report about the further development of a methodology for the ecological evaluation of land-use options and the application to the Dresden Elbe-Region in the context of flood risk management. We describe enhancements of indicators, apply the method “Compromise Programming” and conduct multiple criteria evaluation of the sites in the study area for residential settlement. Thereby a few of methodological and information technical problems are discussed. As the investigation area the circular area with the centre in the city centre of Dresden and a radius of 20 km was selected. In this study we describe the data transformations of different datasets such as the German “Amtliches Topographisch-Kartographisches Informationssystem” (ATKIS) or a Digital Elevation Model (DEM) of the Dresden Elbe-Region. Furthermore results of “Compromise Programming” are explained and discussed.
- KonferenzbeitragSimulation of Land Use Dynamics through a Cellular Automata Model Based on GIS, Neighbourhood Analysis, and Compromise Programming(Informatics for Environmental Protection - Networking Environmental Information, 2005) Thinh, Nguyen Xuan; Vogel, RicoThis paper describes the development of a cellular automata (CA) model as a reliable procedure for the urban simulation. The definition of transition rules of a CA model is the most essential part to obtain realistic simulation of urban land use. Land use change is the result of a complicated decision-making process, however, methods to drive the transition rules are lacking. In the context of urban land use dynamics, neighbourhood interactions are often addressed both in theories for urban development and in dynamic models of land use change. Based on Geographical Information System (GIS), we analyse the neighbourhood characteristics of the land use change of the Dresden City Region for the years 1780, 1880, 1900, 1940, 1953, 1968, 1986, and 1998. This neighbourhood characterization is helpful in the definition of transition rules for cellular automata. In second part, we present the CA model and the integration of the knowledge extracting from the neighbourhood analysis and the Compromise Programming (CP), a multiple criteria optimization method, in the CA model. Using the CP we carry out an ecological evaluation of land use options and built the result into transition rules of the CA. Finally, we report about programming the model in Arc Macro Language (AML) and about simulation results.