Abstract
Diverse sociocultural influences in rapidly growing dense urban areas may induce strain on civil services and reduce the resilience of those areas to exogenous and endogenous shocks. We present a novel approach with foundations in computer and social sciences, to estimate the resilience of dense urban areas at finer spatiotemporal scales compared to the state-ofthe-art. We fuse multi-modal data sources to estimate resilience indicators from social science theory and leverage a structured ontology for factor combinations to enhance explainability. Estimates of destabilizing areas can improve the decision-making capabilities of civil governments by identifying critical areas needing increased social services.
Original language | English (US) |
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Title of host publication | Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII |
Editors | Ivan Kadar, Erik P. Blasch, Lynne L. Grewe |
Publisher | SPIE |
ISBN (Electronic) | 9781510627017 |
DOIs | |
State | Published - Jan 1 2019 |
Event | Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII 2019 - Baltimore, United States Duration: Apr 15 2019 → Apr 17 2019 |
Publication series
Name | Proceedings of SPIE - The International Society for Optical Engineering |
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Volume | 11018 |
ISSN (Print) | 0277-786X |
ISSN (Electronic) | 1996-756X |
Conference
Conference | Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII 2019 |
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Country | United States |
City | Baltimore |
Period | 4/15/19 → 4/17/19 |
Fingerprint
Keywords
- Behavior modeling
- Dense urban areas
- Situation/threat assessment
- Social capital
- Social/cultural modeling
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering
Cite this
Information fusion to estimate resilience of dense urban neighborhoods. / Palladino, Anthony; Bienenstock, Elisa J.; West, Bradley M.; Nelson, Jake R.; Grubesic, Tony H.
Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII. ed. / Ivan Kadar; Erik P. Blasch; Lynne L. Grewe. SPIE, 2019. 110180K (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11018).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Information fusion to estimate resilience of dense urban neighborhoods
AU - Palladino, Anthony
AU - Bienenstock, Elisa J.
AU - West, Bradley M.
AU - Nelson, Jake R.
AU - Grubesic, Tony H.
PY - 2019/1/1
Y1 - 2019/1/1
N2 - Diverse sociocultural influences in rapidly growing dense urban areas may induce strain on civil services and reduce the resilience of those areas to exogenous and endogenous shocks. We present a novel approach with foundations in computer and social sciences, to estimate the resilience of dense urban areas at finer spatiotemporal scales compared to the state-ofthe-art. We fuse multi-modal data sources to estimate resilience indicators from social science theory and leverage a structured ontology for factor combinations to enhance explainability. Estimates of destabilizing areas can improve the decision-making capabilities of civil governments by identifying critical areas needing increased social services.
AB - Diverse sociocultural influences in rapidly growing dense urban areas may induce strain on civil services and reduce the resilience of those areas to exogenous and endogenous shocks. We present a novel approach with foundations in computer and social sciences, to estimate the resilience of dense urban areas at finer spatiotemporal scales compared to the state-ofthe-art. We fuse multi-modal data sources to estimate resilience indicators from social science theory and leverage a structured ontology for factor combinations to enhance explainability. Estimates of destabilizing areas can improve the decision-making capabilities of civil governments by identifying critical areas needing increased social services.
KW - Behavior modeling
KW - Dense urban areas
KW - Situation/threat assessment
KW - Social capital
KW - Social/cultural modeling
UR - http://www.scopus.com/inward/record.url?scp=85072701490&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85072701490&partnerID=8YFLogxK
U2 - 10.1117/12.2519304
DO - 10.1117/12.2519304
M3 - Conference contribution
AN - SCOPUS:85072701490
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII
A2 - Kadar, Ivan
A2 - Blasch, Erik P.
A2 - Grewe, Lynne L.
PB - SPIE
ER -