Social media can be a significant tool for transportation and transit agencies providing passengers with real-time information on traffic events. Moreover, COVID-19 and other limitations have compelled the agencies to engage with travelers online to promote public knowledge about COVID-related issues. It is, therefore, important to understand the agencies’ communication patterns. In this original study, the Twitter communication patterns of different transportation actors—types of message, communication sufficiency, consistency, and coordination—were examined using a social media data-driven approach applying text mining techniques and dynamic network analysis. A total of 850,000 tweets from 395 different transportation and transit agencies, starting in 2018 and the periods before, during and after the pandemic, were studied. Transportation agencies (federal, state, and city) were found to be less active on Twitter and mostly discussed safety measures, project management, and so forth. By contrast, the transit agencies (local bus and light, heavy, and commuter rail) were more active on Twitter and shared information about crashes, schedule information, passenger services, and so forth. Moreover, transportation agencies shared minimal pandemic safety information than transit agencies. Dynamic network analysis reveals interaction patterns among different transportation actors that are poorly connected and coordinated among themselves and with different health agencies (e.g., Centers for Disease Control and Prevention [CDC] and the Federal Emergency Management Agency [FEMA]). The outcome of this study provides understanding to improve existing communication plans, critical information dissemination efficacy, and the coordination of different transportation actors in general and during unprecedented health crises.
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Crisis management of interdependent systems, communication and coordination: A perspective on medium‐scale events
This research investigates medium‐scale disruptive events to understand how these events influence communication and coordination between two interdependent systems (i.e., the water system and the public health system). Medium‐scale events are events that are often overlooked as routine as they occur with more frequency than large‐scale events, yet they have the potential to provide important information about the state and vulnerability of systems, and, if not managed appropriately, can cascade into larger‐scale crises. A survey of US public drinking water systems (N= 471) shows that medium‐scale events promote coordination, especially when those events have a public dimension. Findings also reveal that several features of water systems including surface water sources, system size, and ownership types are associated with higher levels of interaction with the public health systems. Additionally, a network analysis identifies three distinct subnetworks that engage in emergency response activities. The strength of the working relationship was strongly associated with coordinated emergency responses, coordinated public responses, planning, and technical assistance. Findings have implications for both theory and crisis management.
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- Award ID(s):
- 1832692
- PAR ID:
- 10479429
- Publisher / Repository:
- Wiley
- Date Published:
- Journal Name:
- Journal of Contingencies and Crisis Management
- Volume:
- 31
- Issue:
- 4
- ISSN:
- 0966-0879
- Page Range / eLocation ID:
- 767 to 779
- Subject(s) / Keyword(s):
- interdependent systems medium‐scale crisis system interface water public health
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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