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Shangjia Dong

Biographic Data

ID4602409
NAMEShangjia Dong
GIVEN NAMESShangjia
FAMILY NAMEDong
SIGNATUREDONG S
AFFILIATIONSUniversity of Delaware
ORCID0000-0003-4280-0500
VERIFIEDYes
TOTAL WORKS12
TOTAL CITATIONS1
AUTHOR COUNT12
EDITOR COUNT0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2026
H-INDEX1
  • A joint synthetic housing–household inventory

    Open Access•Xiao Qian, Shangjia Dong et al.•ARTICLE•Cities•2026

  • Lights out, decisions on: How households adapt to power outages across regions and events

    Open Access•Utkarsh Gangwal, Rithika Dulam et al.•ARTICLE•Energy Research & Social Science•2025•References: 3

  • Deep contrastive learning for feature alignment: Insights from housing-household relationship inference

    Open Access•Qian Xiao, Xiao Qian et al.•ARTICLE•Computers Environment and Urban…•2025•References: 23

  • Anatomy of perturbed traffic networks during urban flooding

    Open Access•Akhil Anil Rajput, Sanjay Nayak et al.•ARTICLE•Sustainable Cities and Society•2023

  • Predictive multi-watershed flood monitoring using deep learning on integrated physical and social sensors data

    Open Access•Shangjia Dong, Tianbo Yu et al.•ARTICLE•Environment and Planning B Urban…•2022

    This paper presents a deep learning model based on the integration of physical and social sensors data for predictive watershed flood monitoring. The data from flood sensors and 3-1-1 reports data are mapped and fused through a multivariate time series approach. This data format is able to increase the data availability (partially due to sparsely installed physical sensors and fewer reported flood incidents in less urbanized areas) and capture bo…

  • Network analysis and characterization of vulnerability in flood control infrastructure for system-level risk reduction

    Open Access•Hamed Farahmand, Shangjia Dong et al.•ARTICLE•Computers Environment and Urban…•2021

  • Susceptibility curves for humans: Empirical survival models for determining household-level disturbances from hazards-induced infrastructure service disruptions

    Open Access•Amir Esmalian, Shangjia Dong et al.•ARTICLE•Sustainable Cities and Society•2021

  • Integrated infrastructure-plan analysis for resilience enhancement of post-hazards access to critical facilities

    Open Access•Shangjia Dong, Matthew Malecha et al.•ARTICLE•Cities•2021•Cited by: 1•References: 68

  • Institutional congruence for resilience management in interdependent infrastructure systems

    Open Access•Hamed Farahmand, Shangjia Dong et al.•ARTICLE•International Journal of Disaster…•2020

  • Metanetwork Framework for Analysis of Actor-Plan-Task-Infrastructure Networks in Resilience Planning and Management

    Qingchun Li, Shangjia Dong et al.•ARTICLE•Natural Hazards Review•2020

    This paper proposes a metanetwork framework for modeling dependent Actor-Plan-Task-Infrastructure networks. The proposed framework is able to quantitatively evaluate the extent to which coordination among actors and integration among plans reflect infrastructure dependencies in resilience planning. Because resilience planning involves multiple actors and various plans, it is critical that actor coordination and plan integration are consistent wit…

  • An integrated physical-social analysis of disrupted access to critical facilities and community service-loss tolerance in urban flooding

    Open Access•Shangjia Dong, Amir Esmalian et al.•ARTICLE•Computers Environment and Urban…•2020

  • Probabilistic modeling of cascading failure risk in interdependent channel and road networks in urban flooding

    Open Access•Shangjia Dong, Tianbo Yu et al.•ARTICLE•Sustainable Cities and Society•2020

  • Integrated infrastructure-plan analysis for resilience enhancement of post-hazards access to critical facilities

    Open Access•Shangjia Dong, Matthew Malecha et al.•ARTICLE•Cities•2021•Cited by: 1•References: 68

  • Institutional congruence for resilience management in interdependent infrastructure systems

    Open Access•Hamed Farahmand, Shangjia Dong et al.•ARTICLE•International Journal of Disaster…•2020

  • Metanetwork Framework for Analysis of Actor-Plan-Task-Infrastructure Networks in Resilience Planning and Management

    Qingchun Li, Shangjia Dong et al.•ARTICLE•Natural Hazards Review•2020

    This paper proposes a metanetwork framework for modeling dependent Actor-Plan-Task-Infrastructure networks. The proposed framework is able to quantitatively evaluate the extent to which coordination among actors and integration among plans reflect infrastructure dependencies in resilience planning. Because resilience planning involves multiple actors and various plans, it is critical that actor coordination and plan integration are consistent wit…

  • An integrated physical-social analysis of disrupted access to critical facilities and community service-loss tolerance in urban flooding

    Open Access•Shangjia Dong, Amir Esmalian et al.•ARTICLE•Computers Environment and Urban…•2020

  • Probabilistic modeling of cascading failure risk in interdependent channel and road networks in urban flooding

    Open Access•Shangjia Dong, Tianbo Yu et al.•ARTICLE•Sustainable Cities and Society•2020

  • Network analysis and characterization of vulnerability in flood control infrastructure for system-level risk reduction

    Open Access•Hamed Farahmand, Shangjia Dong et al.•ARTICLE•Computers Environment and Urban…•2021

  • Susceptibility curves for humans: Empirical survival models for determining household-level disturbances from hazards-induced infrastructure service disruptions

    Open Access•Amir Esmalian, Shangjia Dong et al.•ARTICLE•Sustainable Cities and Society•2021

  • Integrated infrastructure-plan analysis for resilience enhancement of post-hazards access to critical facilities

    Open Access•Shangjia Dong, Matthew Malecha et al.•ARTICLE•Cities•2021•Cited by: 1•References: 68

  • Predictive multi-watershed flood monitoring using deep learning on integrated physical and social sensors data

    Open Access•Shangjia Dong, Tianbo Yu et al.•ARTICLE•Environment and Planning B Urban…•2022

    This paper presents a deep learning model based on the integration of physical and social sensors data for predictive watershed flood monitoring. The data from flood sensors and 3-1-1 reports data are mapped and fused through a multivariate time series approach. This data format is able to increase the data availability (partially due to sparsely installed physical sensors and fewer reported flood incidents in less urbanized areas) and capture bo…

  • Anatomy of perturbed traffic networks during urban flooding

    Open Access•Akhil Anil Rajput, Sanjay Nayak et al.•ARTICLE•Sustainable Cities and Society•2023

  • Lights out, decisions on: How households adapt to power outages across regions and events

    Open Access•Utkarsh Gangwal, Rithika Dulam et al.•ARTICLE•Energy Research & Social Science•2025•References: 3

  • Deep contrastive learning for feature alignment: Insights from housing-household relationship inference

    Open Access•Qian Xiao, Xiao Qian et al.•ARTICLE•Computers Environment and Urban…•2025•References: 23

  • A joint synthetic housing–household inventory

    Open Access•Xiao Qian, Shangjia Dong et al.•ARTICLE•Cities•2026

Computer Science (10 works) · Geography (9 works) · Disaster Management and Resilience (7 works) · Flood Risk Assessment and Management (7 works) · Infrastructure Resilience and Vulnerability Analysis (7 works) · Business (5 works) · Computer security (5 works) · Environmental Science (5 works) · Flood myth (5 works) · Artificial Intelligence (3 works)

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