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

A. Yair Grinberger; Michal Lichter; Daniel Felsenstein

doi:10.1007/978-3-319-18368-8_6

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

A. Yair Grinberger^*, Michal Lichter, Daniel Felsenstein

^*Corresponding author for this work

Department of Geography

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

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 language	English
Title of host publication	Planning Support Systems and Smart Cities
Editors	Robert Goodspeed, Joseph Ferreira, John Stillwell, Stan Geertman
Publisher	Kluwer Academic Publishers
Pages	99-119
Number of pages	21
ISBN (Electronic)	9783319183671
DOIs	https://doi.org/10.1007/978-3-319-18368-8_6
State	Published - 2015
Event	Computers in Urban Planning and Urban Management Conference, CUPUM 2015 - Boston, United States Duration: 7 Jul 2015 → 10 Jul 2015

Publication series

Name	Lecture Notes in Geoinformation and Cartography
Volume	213
ISSN (Print)	1863-2351

Conference

Conference	Computers in Urban Planning and Urban Management Conference, CUPUM 2015
Country/Territory	United States
City	Boston
Period	7/07/15 → 10/07/15

Bibliographical note

Publisher Copyright:
© Springer International Publishing Switzerland 2015.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-319-18368-8_6

Cite this

Grinberger, A. Y., Lichter, M., & Felsenstein, D. (2015). Simulating urban resilience: Disasters, dynamics and (synthetic) data. In R. Goodspeed, J. Ferreira, J. Stillwell, & S. Geertman (Eds.), Planning Support Systems and Smart Cities (pp. 99-119). (Lecture Notes in Geoinformation and Cartography; Vol. 213). Kluwer Academic Publishers. https://doi.org/10.1007/978-3-319-18368-8_6

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Grinberger, AY, Lichter, M & Felsenstein, D 2015, Simulating urban resilience: Disasters, dynamics and (synthetic) data. in R Goodspeed, J Ferreira, J Stillwell & S Geertman (eds), Planning Support Systems and Smart Cities. Lecture Notes in Geoinformation and Cartography, vol. 213, Kluwer Academic Publishers, pp. 99-119, Computers in Urban Planning and Urban Management Conference, CUPUM 2015, Boston, United States, 7/07/15. https://doi.org/10.1007/978-3-319-18368-8_6

Simulating urban resilience: Disasters, dynamics and (synthetic) data. / Grinberger, A. Yair; Lichter, Michal; Felsenstein, Daniel.
Planning Support Systems and Smart Cities. ed. / Robert Goodspeed; Joseph Ferreira; John Stillwell; Stan Geertman. Kluwer Academic Publishers, 2015. p. 99-119 (Lecture Notes in Geoinformation and Cartography; Vol. 213).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Access to Document

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Cite this