John W. van de Lindt

Prof. Dr. John W. van de Lindt


Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2017 in Coastal Engineering
Verified
Journal Article
Closed access
HPHyoungsu Park
Hyoungsu Park
TTTori Tomiczek
Tori Tomiczek
DCDaniel Cox
Daniel Cox
JLJohn W. van de Lindt
John W. van de Lindt
Pedro LomonacoPedro Lomonaco
Pedro Lomonaco

23 February 2024 in Risk Analysis
Verified
Journal Article
Open access
BJBlythe Johnston
Blythe Johnston
JLJohn W. van de Lindt
John W. van de Lindt
Geographically large climatic hazard events are occurring more frequently, and with this increase, more research emphasis is being placed on their impact. However, a metrology for selecting which communities to survey following an event is not frequently discussed and as a result does not effectively incorporate all relevant disciplines in disaster research. This article provides a method for selecting communities for inclusion in field studies not only based on anticipated damage but also community-level social factors that show predictive power in long-term analyses. Due to the perishable nature of disaster data, this social metric and the field study decision tool were developed with the intent of being as rapidly implementable as possible while still providing insight regarding long-term post-event community trends. The community-level social metric was developed using a hindcasting technique for hazard events in the years 2011, 2012, and 2013. Thresholds for stability and decline were established for both the predicted and the actual community outcomes. Of the communities that the model predicted would recover, 73% recovered using the definition provided. Meanwhile 74% of the communities predicted to decline did indeed decline, again using the definition provided. To enhance operability of this social metric, a decision-making tool for community selection was also formalized and implemented in a field study conducted following the December 2021 quad-state tornado outbreak in the United States. The lessons learned from this first implementation were used to inform a refined version of the decision-making tool that is presented herein.

12 August 2025
Verified
Book Chapter
Open access
PDF file
JLJohn W. van de Lindt
John W. van de Lindt
GYGuirong Yan
Guirong Yan
WJWilma James
Wilma James
The year 2020 was a mere a prelude to a looming climate crisis. In 2020, tropical storms in the Atlantic Ocean outnumbered the number of letters in the Latin Alphabet and we moved to the use of the Greek Alphabet, Alpha, Beta, …, all the way through Iota, with 30 named storms in total, 13 of which progressed into hurricanes; Wildfires in California burned more than 4 million acres, and the two largest wildfires in Colorado’s history occurred simultaneously. What we face will be more frequent and powerful hurricanes and flooding, more intense wildfires and more prolonged heat waves, along with long-term climate change projections (e.g., sea-level rise and coastal morphology). More coordinated, comprehensive climate actions and adaptation are needed to enhance community resilience.

26 July 2023 in ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B. Mechanical Engineering
Verified
Journal Article
Open access
PDF file
Cao WangCao Wang
Cao Wang
MFMatthias G. R. Faes
Matthias G. R. Faes
MBMichael Beer
Michael Beer
Enrico ZioEnrico Zio
Enrico Zio
JLJohn W. van de Lindt
John W. van de Lindt