Siddharth Bhandari

About

Siddharth Bhandari is an assistant research professor in the Department of Civil, Environmental and Architectural Engineering at the University of Colorado Boulder. He is also the associate director of research at the Construction Safety Research Alliance. He earned his BS, MS, and PhD in civil engineering from the University of Colorado Boulder. His research interests include construction safety, experimental psychology, human factors engineering, and workplace mental well-being.

Research topics

• Computer Science
• Artificial Intelligence
• Computer Security
• Engineering
• Psychology
• Political Science
• Business
• Machine Learning
• Risk analysis (engineering)
• Data science

Selected publications

• Identifying and Controlling Biases in Expert-Opinion Research: Guidelines for Variations of Delphi, Nominal Group Technique, and Focus Groups

  Journal of Management in Engineering · 2021 · 61 citations

  1st authorCorresponding

  In construction engineering and management (CEM) research, conducting field studies often is infeasible because of resource constraints, limited access to sites, practicality, confounding factors, and ethical limitations. Thus, researchers rely on the collection and analysis of expert opinions as an alternative method. Delphi, the nominal group technique, and focus groups often are used to solicit opinions through different processes and controls. Controls implemented during data collection and…

  DOI

• Influence of safety climate on risk tolerance and risk-taking behavior: A cross-cultural examination

  Safety Science · 2021 · 48 citations

  1st authorCorresponding
  DOI

• Practical Assessment of Potential Predictors of Serious Injuries and Fatalities in Construction

  Journal of Construction Engineering and Management · 2021 · 33 citations

  Senior authorCorresponding

  Serious injuries and fatalities (SIF) continue to be an enigmatic problem in the construction industry. Researchers have begun to explore new ways of preventing these incidents by developing and testing leading indicators, precursor analysis, and risk assessment supported by data analytics. These recent themes suggest a new paradigm in safety prediction. Aligned with this trajectory, the objectives of this study were to (1) identify a comprehensive list of potential predictors of SIFs in constru…

  DOI

• Formal evaluation of construction safety performance metrics and a case for a balanced approach

  Journal of Safety Research · 2023-04-27 · 20 citations

  articleSenior authorCorresponding
  PublisherDOI

• Predicting Serious Injury and Fatality Exposure Using Machine Learning in Construction Projects

  Journal of Construction Engineering and Management · 2023-12-26 · 11 citations

  articleOpen accessSenior author

  Safety academics and practitioners in construction typically use safety prediction models that employ information associated with past incidents to predict the likelihood of future injury or fatality on site. However, most prevailing models utilize only information related to failure (i.e., incident), so they cannot distinguish effectively between success and failure without well-informed comparison. Furthermore, recordable incidents on construction sites are extremely rare, which results in dat…

  PublisherOA PDFDOI

Frequent coauthors

• Paolo Madeddu

  NIHR Bristol Cardiovascular Biomedical Research Unit

  168 shared

• Costanza Emanueli

  Imperial College London

  140 shared

• Rajesh Katare

  University of Otago

  112 shared

• M. Meloni

  University of Sassari

  96 shared

• Claude Delcayre

  Hôpital Lariboisière

  84 shared

• Lucie Carrier

  Universität Hamburg

  84 shared

• David M. Poitz

  TU Dresden

  84 shared

• Jolanda van der Velden

  Vrije Universiteit Amsterdam

  72 shared

Education

• Ph.D., Civil Engineering

  University of Colorado Boulder

• M.S., Civil Engineering

  University of Colorado Boulder

• B.S., Civil Engineering

  University of Colorado Boulder

Awards & honors

• National Safety Council’s Rising Stars of Safety Award 2021
• ELECTRI International’s Early Career Award 2019
• Best Paper Award at the 2015 5th International/11th Construc…

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