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Shaping urbanization to achieve communities resilient to floods

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This article is published in Environmental Research Letters.The article was published on 2021-08-31 and is currently open access. It has received 12 citations till now. The article focuses on the topics: Resilience (network) & Urbanization.

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Unraveling the complexity of human behavior and urbanization on community vulnerability to floods.

TL;DR: In this paper, a new agent-based model is presented to investigate the complex interaction between human behavior and urbanization and its role in creating future communities vulnerable to flood events, showing that when people are informed about the flood risk and proper incentives are provided, the demand for housing within 500-year floodplain may be reduced as much as 15% by 2040 for the case study considered.
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Urban-Rural Disparity in Community Resilience: A Multilevel Analysis of the Relief Progress after the 2015 Nepal Earthquake

TL;DR: This paper explored community resilience in urban and rural areas by employing binary multilevel models against the monthly survey questionnaire data on relief progress at first; and then adopted cross-level interaction models to examine whether and how urbanization would modify the contributions of resilience factors to post-disaster performances of communities.
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Spatially non-stationary relationships between urbanization and the characteristics and storage-regulation capacities of river systems in the Tai Lake Plain, China.

TL;DR: Wang et al. as mentioned in this paper investigated the relationship between comprehensive urbanization (CUB) and river network characteristics (RNC, RSC, and regulation capacity) in the rapidly urbanized Tai Lake Plain (TLP), China.
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Coupled Urban Change and Natural Hazard Consequence Model for Community Resilience Planning

- 01 Dec 2022 - 
TL;DR: In this article , a coupled urban change and hazard consequence model that considers population growth, a changing built environment, natural hazard mitigation planning, and future acute hazards is presented, and applied to Seaside, Oregon, a coastal community in the North American Pacific Northwest subject to seismic-tsunami hazards emanating from the Cascadia Subduction Zone.
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Enhanced urban adaptation efforts needed to counter rising extreme rainfall risks

TL;DR: In this article , the authors developed climate services specific to extreme rainfall events and subsequent floods in urban environments and found that impacts on lives and livelihoods disproportionately occur in traditionally underserved communities, particularly in urban areas.
References
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Journal ArticleDOI

A Self-Modifying Cellular Automaton Model of Historical Urbanization in the San Francisco Bay Area

TL;DR: A cellular automaton simulation model developed to predict urban growth as part of a project for estimating the regional and broader impact of urbanization on the San Francisco Bay area's climate is described.
Journal ArticleDOI

Cellular Automata and Fractal Urban Form: A Cellular Modelling Approach to the Evolution of Urban Land-Use Patterns

TL;DR: A cellular automaton is developed to model the spatial structure of urban land use over time and to link the results directly to general theories of structural evolution.
Journal ArticleDOI

Loose-coupling a cellular automaton model and GIS: long-term urban growth prediction for San Francisco and Washington/Baltimore.

TL;DR: A cellular automaton model, that was calibrated by using historical digital maps of urban areas and can be used to predict the future extent of an urban area, is applied to two rapidly growing, but remarkably different urban areas.
Book

Geosimulation: Automata-based Modeling of Urban Phenomena

TL;DR: This book defines urban Geosimulation as a framework for modelling complex spatial systems, and describes MAS models as planning and assessment tools for complex human-driven systems.
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