Information fusion to estimate resilience of dense urban neighborhoods

Anthony Palladino; Elisa J. Bienenstock; Bradley M. West; Jake R. Nelson; Tony H. Grubesic

doi:10.1117/12.2519304

Information fusion to estimate resilience of dense urban neighborhoods

Anthony Palladino, Elisa J. Bienenstock, Bradley M. West, Jake R. Nelson, Tony H. Grubesic

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

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)
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	https://doi.org/10.1117/12.2519304
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
Volume	11018
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII 2019
Country	United States
City	Baltimore
Period	4/15/19 → 4/17/19

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

Access to Document

10.1117/12.2519304

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Cite this

Palladino, A., Bienenstock, E. J., West, B. M., Nelson, J. R., & Grubesic, T. H. (2019). Information fusion to estimate resilience of dense urban neighborhoods. In I. Kadar, E. P. Blasch, & L. L. Grewe (Eds.), Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII [110180K] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11018). SPIE. https://doi.org/10.1117/12.2519304

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

Palladino, A, Bienenstock, EJ, West, BM, Nelson, JR & Grubesic, TH 2019, Information fusion to estimate resilience of dense urban neighborhoods. in I Kadar, EP Blasch & LL Grewe (eds), Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII., 110180K, Proceedings of SPIE - The International Society for Optical Engineering, vol. 11018, SPIE, Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII 2019, Baltimore, United States, 4/15/19. https://doi.org/10.1117/12.2519304

Palladino A, Bienenstock EJ, West BM, Nelson JR, Grubesic TH. Information fusion to estimate resilience of dense urban neighborhoods. In Kadar I, Blasch EP, Grewe LL, editors, Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII. SPIE. 2019. 110180K. (Proceedings of SPIE - The International Society for Optical Engineering). https://doi.org/10.1117/12.2519304

Palladino, Anthony ; Bienenstock, Elisa J. ; West, Bradley M. ; Nelson, Jake R. ; Grubesic, Tony H. / Information fusion to estimate resilience of dense urban neighborhoods. Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII. editor / Ivan Kadar ; Erik P. Blasch ; Lynne L. Grewe. SPIE, 2019. (Proceedings of SPIE - The International Society for Optical Engineering).

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