A Proposed Framework for the Incorporation of Economic Resilience into Transportation Decision Making
Publication: Journal of Management in Engineering
Volume 36, Issue 6
Abstract
The profound effects of the Great Recession sparked not only research in terms of the definition and characterization of resilience to economic shocks, but also policy-making discussions about building more resilient economies. Nonetheless, whereas regional economic resilience is frequently discussed in the political and research agenda for civil infrastructure, project-level analysis integrating resilience into decision making is still scarce even though the built environment, and in particular transportation systems, are recognized as crucial elements affecting regional economic resilience. Consequently, the assessment of the role of transportation infrastructure in economic resilience is limited. This paper discusses literature on the intersection between transportation and economic resilience planning, describes the findings from an expert opinion survey about economic resilience and transportation, and proposes a theoretical framework to incorporate resilience indicators into the decision-making process for transportation projects at the sketch-planning level (i.e., the initial level of decision making). A case study for State Road 3 (SR-03) in Indiana is presented to demonstrate an application of the conceptual framework. The survey revealed that experts are aware of the concept of economic resilience, but the concept is not necessarily applied in transportation planning. In addition, the reviewed studies and survey results showed that planning for economic resilience requires the consideration of regional characteristics, including industrial diversity and human capital, in addition to transportation accessibility.
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Data Availability Statement
Some or all data, models, or code generated or used during the study are proprietary or confidential in nature and may only be provided with restrictions (e.g., anonymized data). Survey results are based on no identifiable data.
Acknowledgments
This work was partly supported by the Joint Transportation Research Program administered by INDOT and Purdue University. The authors would like to thank the Study Advisory Committee and, in particular, Indraneel Kumar, Roy Nunnally, Samy Noureldin, Frank Baukert, and Korey Chu. This work was also supported in part through NSF Award for the Grand Challenges in Resilience Workshop at Purdue March 19–21, 2019 through award number 1845192. The contents of this paper reflect the views of the authors, who are responsible for the facts and the accuracy of the data presented herein and do not necessarily reflect the official views or policies of the Joint Transportation Research Program or the National Science Foundation. These contents do not constitute a standard, specification, or regulation.
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Published In
Journal of Management in Engineering
Volume 36 • Issue 6 • November 2020
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© 2020 American Society of Civil Engineers.
History
Received: Sep 7, 2019
Accepted: May 1, 2020
Published online: Aug 31, 2020
Published in print: Nov 1, 2020
Discussion open until: Jan 31, 2021
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