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Multiscale urban analysis and modeling: Trends in the Ruhr Area, Germany
As it has been frequently stated, it is becoming increasingly hard to grasp and understand the urban structures of today through the lens of conventional spatial and temporal scales. Due to dynamic interactions and complex interdependencies in between each of their spatial, social, infrastructural and economic dimensions, cities are expanding way beyond traditional - such as municipal, regional or even national – barriers and boundaries. Nevertheless, comprehensive methods and innovative tools that are able to tackle and manage the complex nature of contemporary urban challenges are still relatively few. Amongst others, these must provide assistance in setting priorities for urban design and planning actions and in optimizing and foreseeing their possible effects on an extensive timescale. Against this background, the author proposes a comprehensive seven-step methodology for multiscale urban analysis and modeling, with a special focus on their effective integration: she believes that for accuracy, credibility and real-world-applicability purposes, spatial models must rest on a thorough investigation of existing space-time patterns and processes. The analysis part first identifies the most important regional trends and their shaping factors for the case study, the Ruhr area in Germany. Secondly, it investigates the region’s prevailing demographic, socioeconomic and economic profiles and derives their characteristic scales. Moving forward, the thesis demonstrates how - with a machine-learning mechanism called self-organizing maps - one may be able to tremendously reduce the complexity of latter empirical observations and therefore effectively infiltrate them into modeling attempts. Subsequently, the work presents the first prototype of a multiscale urban model, which simultaneously unfolds the subsystems of popula- tion, residential migration, employment migration, land price, land use and accessibility. In more detail, the residential and economic dynamics are captured by the well-known master equation approach ...
Multiscale urban analysis and modeling: Trends in the Ruhr Area, Germany
As it has been frequently stated, it is becoming increasingly hard to grasp and understand the urban structures of today through the lens of conventional spatial and temporal scales. Due to dynamic interactions and complex interdependencies in between each of their spatial, social, infrastructural and economic dimensions, cities are expanding way beyond traditional - such as municipal, regional or even national – barriers and boundaries. Nevertheless, comprehensive methods and innovative tools that are able to tackle and manage the complex nature of contemporary urban challenges are still relatively few. Amongst others, these must provide assistance in setting priorities for urban design and planning actions and in optimizing and foreseeing their possible effects on an extensive timescale. Against this background, the author proposes a comprehensive seven-step methodology for multiscale urban analysis and modeling, with a special focus on their effective integration: she believes that for accuracy, credibility and real-world-applicability purposes, spatial models must rest on a thorough investigation of existing space-time patterns and processes. The analysis part first identifies the most important regional trends and their shaping factors for the case study, the Ruhr area in Germany. Secondly, it investigates the region’s prevailing demographic, socioeconomic and economic profiles and derives their characteristic scales. Moving forward, the thesis demonstrates how - with a machine-learning mechanism called self-organizing maps - one may be able to tremendously reduce the complexity of latter empirical observations and therefore effectively infiltrate them into modeling attempts. Subsequently, the work presents the first prototype of a multiscale urban model, which simultaneously unfolds the subsystems of popula- tion, residential migration, employment migration, land price, land use and accessibility. In more detail, the residential and economic dynamics are captured by the well-known master equation approach ...
Multiscale urban analysis and modeling: Trends in the Ruhr Area, Germany
Lengyel, Janka (author) / Schmidt, J. Alexander
2021-03-22
Theses
Electronic Resource
English
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