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This paper proposed and tested a multilayer framework for modeling network dynamics of inter-organizational coordination in resilience planning among interdependent infrastructure sectors. Each layer in the network represents one infrastructure sector such as flood control, transportation, and emergency response. Coordination probability was introduced to approximate the inconsistent coordination between organizations, based on which the intra-layer or inter-layer link removal was conducted and inter-organizational coordination efficiency within and across infrastructure sectors was hereby unveiled. To test the proposed framework, a multilayer collaboration network of 35 organizations from five infrastructure sectors in Harris County, Texas, was mapped based on a survey of Hurricane Harvey. The analysis results showed that before Hurricane Harvey, coordination among flood control, transportation, and infrastructure development sectors lacked essential integration to foster robust resilience plans. The proposed framework enables an assessment of coordination efficiency among organizations involving in resilience planning and provides an indicator for urban resilience measurement.
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Local interactions and homophily effects in actor collaboration networks for urban resilience governance
Abstract Understanding actor collaboration networks and their evolution is essential to promoting collective action in resilience planning and management of interdependent infrastructure systems. Local interactions and choice homophily are two important network evolution mechanisms. Network motifs encode the information of network formation, configuration, and the local structure. Homophily effects, on the other hand, capture whether the network configurations have significant correlations with node properties. The objective of this paper is to explore the extent to which local interactions and homophily effects influence actor collaboration in resilience planning and management of interdependent infrastructure systems. We mapped bipartite actor collaboration network based on a post-Hurricane Harvey stakeholder survey that revealed actor collaborations for hazard mitigation. We examined seven bipartite network motifs for the mapped collaboration network and compared the mapped network to simulated random models with same degree distributions. Then we examined whether the network configurations had significant statistics for node properties using exponential random graph models. The results provide insights about the two mechanisms—local interactions and homophily effect—influencing the formation of actor collaboration in resilience planning and management of interdependent urban systems. The findings have implications for improving network cohesion and actor collaborations from diverse urban sectors.
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- Award ID(s):
- 1832662
- PAR ID:
- 10311647
- Date Published:
- Journal Name:
- Applied Network Science
- Volume:
- 6
- Issue:
- 1
- ISSN:
- 2364-8228
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1007/s41109-021-00433-z
