Quantifying road network vulnerability by access to healthcare. Schuster, H., Polleres, A., & Wachs, J. In NETSCI 2023: INTERNATIONAL SCHOOL AND CONFERENCE ON NETWORK SCIENCE, 2023. conference abstract only, paper forthcoming
abstract   bibtex   
The resilience of transportation networks is highly variable. Some components are crucially important: their failure can cause problems throughout the system. One way to probe a system for weak points needing reinforcement is via simulated stress tests. Network scientists have applied node or edge removal simulations to many systems: interbank lending markets, power grids, software networks, etc. Reliable transit via roads is especially crucial in healthcare: delays in travel to hospitals have a significant negative effect on patient outcomes including mortality. Yet past studies of road network resilience focus on general mobility or specific kinds of events like floods. And it is unclear how classical resilience analysis applies to geographically embedded road networks with homogeneous degree distribution. We address this gap by using a coarse-grained representation of the Austrian road network in which nodes are municipalities and edges connect municipalities directly via roads. We stress this network, observing changes in accessibility when removing individual edges and groups of edges in geographic clusters using a population-weighted measure of hospital accessibility. Under specific scenarios, certain segments play a critical role in accessibility. We observe changes in burdens on individual hospitals as road closures change which hospitals are nearest. These results are valuable for scheduling road maintenance, extending the road network, or evaluating hospital capacity.
@inproceedings{schu-etal-2023NetSci,
 title={Quantifying road network vulnerability by access to healthcare},
 author = {Hannah Schuster and Axel Polleres and Johannes Wachs},
 year = 2023,
 booktitle = {NETSCI 2023: INTERNATIONAL SCHOOL AND CONFERENCE ON NETWORK SCIENCE},
 abstract = {The resilience of transportation networks is highly variable. Some components are crucially important: their failure can cause problems throughout the system. One way to probe a system for weak points needing reinforcement is via simulated stress tests. Network scientists have applied node or edge removal simulations to many systems: interbank lending markets, power grids, software networks, etc.

Reliable transit via roads is especially crucial in healthcare: delays in travel to hospitals have a significant negative effect on patient outcomes including mortality. Yet past studies of road network resilience focus on general mobility or specific kinds of events like floods. And it is unclear how classical resilience analysis applies to geographically embedded road networks with homogeneous degree distribution. We address this gap by using a coarse-grained representation of the Austrian road network in which nodes are municipalities and edges connect municipalities directly via roads. We stress this network, observing changes in accessibility when removing individual edges and groups of edges in geographic clusters using a population-weighted measure of hospital accessibility.
Under specific scenarios, certain segments play a critical role in accessibility. We observe changes in burdens on individual hospitals as road closures change which hospitals are nearest. These results are valuable for scheduling road maintenance, extending the road network, or evaluating hospital capacity.},
 Note = {conference abstract only, paper forthcoming},
}

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