Simulating urban resilience: Disasters, dynamics and (synthetic) data

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

An agent based (AB) simulation model of urban dynamics following a disaster is presented. Data disaggregation is used to generate ‘synthetic’ data with accurate socio-economic profiling. Entire synthetic populations are extrapolated at the building scale from survey data. This data is coupled with the AB model. The disaggregated baseline population allows for the bottom-up formulation of the behavior of an entire urban system. Agent interactions with each other and with the environment lead to change in residence and workplace, land use and house prices. The case of a hypothetical earthquake in the Jerusalem CBD is presented as an illustrative example. Dynamics are simulated for a period up to 3 years, post-disaster. Outcomes are measured in terms of global resilience measures, effects on residential and non-residential capital stock and population dynamics. The visualization of the complex outputs is illustrated using dynamic web-mapping.

Original languageAmerican English
Title of host publicationPlanning Support Systems and Smart Cities
EditorsRobert Goodspeed, Joseph Ferreira, John Stillwell, Stan Geertman
PublisherKluwer Academic Publishers
Pages99-119
Number of pages21
ISBN (Electronic)9783319183671
DOIs
StatePublished - 2015
EventComputers in Urban Planning and Urban Management Conference, CUPUM 2015 - Boston, United States
Duration: 7 Jul 201510 Jul 2015

Publication series

NameLecture Notes in Geoinformation and Cartography
Volume213

Conference

ConferenceComputers in Urban Planning and Urban Management Conference, CUPUM 2015
Country/TerritoryUnited States
CityBoston
Period7/07/1510/07/15

All Science Journal Classification (ASJC) codes

  • Computers in Earth Sciences
  • Geography, Planning and Development
  • Earth-Surface Processes
  • Civil and Structural Engineering

Fingerprint

Dive into the research topics of 'Simulating urban resilience: Disasters, dynamics and (synthetic) data'. Together they form a unique fingerprint.

Cite this