Social Media for Transportation Disaster, Preparation, Response, and Recovery
-
2017-10-01
Details:
-
Creators:
-
Corporate Creators:
-
Corporate Contributors:
-
Subject/TRT Terms:
-
Resource Type:
-
Geographical Coverage:
-
Corporate Publisher:
-
Abstract:The Northeast United States, particularly New York State has experienced an increase in extreme 24-hour precipitation during the past 50 years (Horton et al., 2011). Recent events such as Hurricane Irene and Superstorm Sandy have revealed vulnerability to
intense precipitation within the transportation sector. Stronger knowledge of extreme events and the resultant simultaneous regional network vulnerabilities can support emergency management division in creating more effective response systems. There is a
necessity to understand the underlying reasons that generate the spatial-temporal demand. There is also a necessity to understand and forecast, based on climate, individual level behavior and their nodal functions during a simultaneous extreme rainfall event.
This project combined cutting edge hydroclimatology science, space-time statistical modeling expertise and state of the art transportation sector’s modeling frameworks and decision support tools to address the following questions : (a) How best can spatial distribution of extreme rainfall intensity be estimated using high-resolution radar rainfall data? (b) How individuals, as intelligent agents with different demographics, react to different climate events and shift their ridership behavior? (c) How best can the spatial-temporal demand for ridership in New York City be modeled using climate and demographic/landuse characteristics? To answer these questions, the researchers conducted two investigations: 1) characterize the spatial variability of extreme rainfall events over Greater New York Area using radar rainfall data and 2) develop Bayesian multilevel models to estimate the impact of hourly and daily rainfall on subway ridership in Manhattan. The research is cast in a practical context using Greater New York Area as an example. The researchers anticipate that these results and our current on-going projects have the potential for revolutionizing how real time transportation planning is conducted in the future, through dynamic risk assessment and management procedure.
-
Format:
-
Funding:
-
Collection(s):
-
Main Document Checksum:
-
File Type:
Supporting Files
-
No Additional Files
More +