From Flood Risk To Indirect Flood Impact:
Evaluation Of Street Network Performance For
Effective Management, Response And Repair
Author(s)
J. Gil & P. Steinbach
Abstract
Current flood risk assessment and decision support tools, the UK Planning
Policy Statement 25 and the UK Environment Agency (EA) flood maps, focus
on the areas directly affected by flooding; however they do not address the
indirect consequences of flooding on the existing street network. Research has
been done in transport network reliability and resilience to disasters but little
application exists to the floods scenario. In this paper we introduce a
methodology developed at Space Syntax Limited to analyse and visualise the
wider impact of flooding on the urban street network, measuring its performance
in order to respond to the situation more effectively. Starting from a hypothetical
scenario of floods in London affecting the areas within the highest risk flood
Zone 3 as defined by the EA, we use a spatial model of London up to the M25
circular motorway and run network analysis algorithms before and after the
flooding. Using a GIS we quantify the extent to which flooding affects the global
structure of the city and the spatial accessibility of town centres. The analysis
also provides indicators of traffic level distributions to evaluate the performance
of the strategic transport network revealing a dependency on the M25 in the
flooded scenario for longer trips across London, suggesting congestion levels
beyond its capacity. With this work we demonstrate that space syntax network
analysis provides objective indicators to demonstrate the indirect impacts of
flooding on urban street networks which can be used by relevant authorities to
support a future vision and their investment decisions concerning preventative
strategies, disaster management and repair.
Keywords: climate change, flooding, urban street networks, spatial analysis,
space syntax, GIS, mapping, impact assessment, scenario testing, adaptation
strategy.
Keywords
climate change, flooding, urban street networks, spatial analysis,
space syntax, GIS, mapping, impact assessment, scenario testing, adaptation
strategy.
Related Book
Other papers in this volume
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