Abstract
This research effort introduces the idea of capturing the varying impacts of a disaster on an urban area by analyzing the nature of the public's changing requests for municipal services. By examining the relative number and timing of such requests, across a variety of different services, we can get an indication of how resilient the infrastructures are that are supported by those services, as well as how resilient the population is that relies upon them. In particular, we adopt a method for calculating resilience that characterizes both the observed impacts of a disaster and the time needed to recover from it by using such service request data. In order to explore the potential for characterizing multiple dimensions of urban disaster resilience in this way, we specifically leverage an empirical data set of non-emergency 311 service calls made in New York City between 2010 and 2012. This allows us to compare the relative performance of several types of service requests with respect to a set of different disaster events that impacted the New York metropolitan area during that time period and thus to characterize the different ways in which resilience was exhibited in response to those events.
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Acknowledgements
This research was supported by grants from the National Science Foundation (NSF-CRISP #1541155), the Global Forum on Urban and Regional Resilience, and the Institute for Critical Technology and Applied Science at Virginia Tech.
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Zobel, C.W., Baghersad, M., Zhang, Y. (2018). An Approach for Quantifying the Multidimensional Nature of Disaster Resilience in the Context of Municipal Service Provision. In: Fekete, A., Fiedrich, F. (eds) Urban Disaster Resilience and Security. The Urban Book Series. Springer, Cham. https://doi.org/10.1007/978-3-319-68606-6_15
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