
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Resilient by design: Simulating street network disruptions across every urban area in the world

Street networks allow people and goods to move through cities, but they are vulnerable to disasters like floods, earthquakes, and terrorist attacks. Well-planned network design can make a city more resilient and robust to such disruptions, but we still know little about worldwide patterns of vulnerability, or worldwide empirical relationships between specific design characteristics and resilience. This study quantifies and measures the vulnerability of the street networks of every urban area in the world then models the relationships between vulnerability and street network design characteristics. To do so, we simulate over 2.4 billion trips across more than 8,000 urban areas in 178 countries, while also simulating network disruption events representing floods, earthquakes, and targeted attacks. We find that disrupting high-centrality nodes severely impacts network function. All else equal, networks with higher connectivity, fewer chokepoints, or less circuity are less vulnerable to disruption's impacts. This study thus contributes a new global understanding of network design and vulnerability to the literature. We argue that these design characteristics offer high leverage points for street network resilience and robustness that planners should emphasize when designing or retrofitting urban networks.
- University of California System United States
- University of Southern California United States
- Southern California Earthquake Center United States
- Southern California Earthquake Center United States
FOS: Computer and information sciences, Physics - Physics and Society, General Economics (econ.GN), network design, FOS: Physical sciences, robustness, Physics and Society (physics.soc-ph), Systems and Control (eess.SY), transportation engineering, global warming, urban design, Electrical Engineering and Systems Science - Systems and Control, Statistics - Applications, disasters, urban planning, transport geography, street networks, FOS: Economics and business, flooding, urban resilience, urban geography, network science, cities, FOS: Electrical engineering, electronic engineering, information engineering, Applications (stat.AP), earthquakes, resilience, Economics - General Economics, terrorism, simulation, sustainability, disaster planning, transportation planning, climate change, connectivity, sea level rise, warfare, civil engineering
FOS: Computer and information sciences, Physics - Physics and Society, General Economics (econ.GN), network design, FOS: Physical sciences, robustness, Physics and Society (physics.soc-ph), Systems and Control (eess.SY), transportation engineering, global warming, urban design, Electrical Engineering and Systems Science - Systems and Control, Statistics - Applications, disasters, urban planning, transport geography, street networks, FOS: Economics and business, flooding, urban resilience, urban geography, network science, cities, FOS: Electrical engineering, electronic engineering, information engineering, Applications (stat.AP), earthquakes, resilience, Economics - General Economics, terrorism, simulation, sustainability, disaster planning, transportation planning, climate change, connectivity, sea level rise, warfare, civil engineering
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).6 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
