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Simulating Urban and Regional Scenarios in Europe: Study Cases in Algarve Province, Portugal and Dresden-Prague Transport Corridor, Germany-Czech Republic
Among other causes the analysis of urban areas and their development has particular relevance because of their growing exposure to natural hazards, particularly floods and forest fires. Inappropriate regional and urban planning can exacerbate the negative effects of natural hazards. On the other hand, good land management and planning practices, including appropriate land use and development control in natural hazard-prone areas, represent suitable non-structural solutions to minimise exposure and damage. This paper aims to provide a coherent basis for the spatial planning and management of landscapes in Europe. The MOLAND Model for urban and regional scenario simulation (Barredo et al., 2004; White et al., 1999) is used to evaluate spatial planning for sustainable urban and regional development and measures for natural risks reduction. We describe the application of the MOLAND Model on the two case studies, the Algarve Province in Portugal and the Dresden – Prague transport corridor in Germany and in the Czech Republic. Urban simulations offer a useful approach to understanding the consequences of current spatial planning policies. The scenarios are considered to generate data of meaningful representations of the region’s characteristics whilst still allowing the model to process data in response to the wide variety of possible policy packages specified by the user. The new tool will enhance support to European policies of sustainable development and the derivation of current strategies regarding the adaptation to extreme weather events. ; JRC.H.7-Land management and natural hazards
Simulating Urban and Regional Scenarios in Europe: Study Cases in Algarve Province, Portugal and Dresden-Prague Transport Corridor, Germany-Czech Republic
Among other causes the analysis of urban areas and their development has particular relevance because of their growing exposure to natural hazards, particularly floods and forest fires. Inappropriate regional and urban planning can exacerbate the negative effects of natural hazards. On the other hand, good land management and planning practices, including appropriate land use and development control in natural hazard-prone areas, represent suitable non-structural solutions to minimise exposure and damage. This paper aims to provide a coherent basis for the spatial planning and management of landscapes in Europe. The MOLAND Model for urban and regional scenario simulation (Barredo et al., 2004; White et al., 1999) is used to evaluate spatial planning for sustainable urban and regional development and measures for natural risks reduction. We describe the application of the MOLAND Model on the two case studies, the Algarve Province in Portugal and the Dresden – Prague transport corridor in Germany and in the Czech Republic. Urban simulations offer a useful approach to understanding the consequences of current spatial planning policies. The scenarios are considered to generate data of meaningful representations of the region’s characteristics whilst still allowing the model to process data in response to the wide variety of possible policy packages specified by the user. The new tool will enhance support to European policies of sustainable development and the derivation of current strategies regarding the adaptation to extreme weather events. ; JRC.H.7-Land management and natural hazards
Simulating Urban and Regional Scenarios in Europe: Study Cases in Algarve Province, Portugal and Dresden-Prague Transport Corridor, Germany-Czech Republic
PETROV LAURA (author) / BARREDO CANO JOSE' (author) / LAVALLE CARLO (author) / SAGRIS VALENTINA (author) / GENOVESE ELISABETTA (author)
2007-02-23
Miscellaneous
Electronic Resource
English
DDC:
710
British Library Online Contents | 2003
|British Library Online Contents | 2003
|Conversion, Prague, Czech Republic
British Library Online Contents | 1999
|Villa Muller, Prague, Czech Republic
British Library Online Contents | 2000
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