Speaker
Description
This study proposes an innovative approach to urban morphology analysis by combining resilience detection with parametric design tools for small towns. The focus is on developing a computational tool that evaluates and optimizes the urban form and resilience of small-town road networks and built environments. The approach begins with the extraction of key spatial data, including road networks and building layouts, using multi-source datasets such as OpenStreetMap (OSM) (Zhao & Li, 2020). Python and Jupyter Notebook serve as the computational framework for data processing and geospatial analysis, while the Folium library is employed for interactive visualization of geographic information (Porta, Crucitti, & Latora, 2006). Incorporating resilience assessment methods, the study employs statistical techniques to analyze the vulnerability and robustness of urban infrastructure, such as road networks and pedestrian pathways. Key parameters for resilience, such as connectivity, accessibility, and redundancy, are evaluated to identify potential risks and opportunities for urban improvement (Batty, 2005). The processed data is then exported to CAD format and imported into Grasshopper, a parametric design platform. Using Grasshopper’s capabilities, the study explores optimization algorithms to enhance the resilience of the urban layout and propose alternative design solutions (Zhang & Li, 2018). By simulating different urban scenarios, the study provides insights into how small towns can adapt to changing environmental and social conditions while maintaining functional urban networks. This integrated methodology combines the flexibility of Python programming with the power of spatial data analysis and the precision of parametric design tools, offering a comprehensive framework for the evaluation and improvement of urban resilience.
References:
Batty, M. (2005) Cities and Complexity: Understanding Cities with Cellular Automata, Agent-Based Models, and Fractals. MIT Press.
Porta, S., Crucitti, P., and Latora, V. (2006) ‘The Network Analysis of Urban Streets: A Primal Approach’. Environment and Planning B: Planning and Design 33 (5), 705-725.
Zhang, X., & Li, H. (2018) ‘Urban Resilience and Urban Sustainability: What We Know and What We Do Not Know?’. Cities 72, 141-148.
Zhao, P., and Li, X. (2020) ‘Parametric Urban Design for Resilience: Integrating Environmental and Social Factors’. Sustainable Cities and Society 56, 101926.
References
Batty, M. (2005) Cities and Complexity: Understanding Cities with Cellular Automata, Agent-Based Models, and Fractals. MIT Press.
Porta, S., Crucitti, P., and Latora, V. (2006) ‘The Network Analysis of Urban Streets: A Primal Approach’. Environment and Planning B: Planning and Design 33 (5), 705-725.
Zhang, X., & Li, H. (2018) ‘Urban Resilience and Urban Sustainability: What We Know and What We Do Not Know?’. Cities 72, 141-148.
Zhao, P., and Li, X. (2020) ‘Parametric Urban Design for Resilience: Integrating Environmental and Social Factors’. Sustainable Cities and Society 56, 101926.
| Keywords | resilience detection; parametric design; urban morphology; small towns; spatial analysis |
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