Abstract

Highway agencies strive to carry out maintenance of traffic during road project implementation in a bid to reduce the safety and mobility adversities that typically accompany work zones. In certain cases, the agency resorts to a full road closure strategy, where the project location is blocked from traffic use and traffic is detoured to an alternate route, thus bypassing the project location. Often, there exist a number of alternative paths that could be used for the detour. Few specific guidelines exist for defining a detour path, resulting in technical, financial, and operational constraints dominating the detour planning process. The challenge, therefore, is how to identify the best candidate detour path based on several factors including, but not limited to technical, financial, and operational considerations. This paper proposes a methodology to address this question. The methodology is based on a multicriteria decision-making technique and is demonstrated using two case studies. The case study results are discussed in the context of the relative weight specifications of the key performance indicators (KPIs). The results highlight the impact of the KPIs and their weights on detour route choices. The methodology can be used as a basis for developing a decision-support tool to assist practitioners in selecting the best detours based on a comprehensive range of KPIs. This research contributes managerial aspects that can reduce the subjectivity in maintenance of traffic (MOT) strategy selection and lower the inconsistencies of prescribed detours for similar project conditions.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

This work was supported by the Joint Transportation Research Program administered by the Indiana Department of Transportation and Purdue University. The authors would like to acknowledge the valuable assistance and guidance of the members of the study advisory committee from INDOT. 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 sponsoring organizations. These contents do not constitute a standard, specification, or regulation.

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Go to Journal of Management in Engineering
Journal of Management in Engineering
Volume 39Issue 2March 2023

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Received: Mar 25, 2022
Accepted: Oct 11, 2022
Published online: Dec 10, 2022
Published in print: Mar 1, 2023
Discussion open until: May 10, 2023

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Graduate Research Assistant, Lyles School of Civil Engineering, Purdue Univ., West Lafayette, IN 47907-2051. ORCID: https://orcid.org/0000-0002-7860-9276. Email: [email protected]
Suyash Padhye [email protected]
Graduate Research Assistant, Lyles School of Civil Engineering, Purdue Univ., West Lafayette, IN 47907-2051. Email: [email protected]
Graduate Research Assistant, Lyles School of Civil Engineering, Purdue Univ., West Lafayette, IN 47907-2051. ORCID: https://orcid.org/0000-0002-3841-292X. Email: [email protected]
Assistant Professor, School of Construction Management Technology, Purdue Univ., West Lafayette, IN 47907-2051 (corresponding author). ORCID: https://orcid.org/0000-0001-7293-2171. Email: [email protected]
Samuel Labi, A.M.ASCE [email protected]
Professor, Lyles School of Civil Engineering, Purdue Univ., West Lafayette, IN 47907-2051. Email: [email protected]
Professor, Lyles School of Civil Engineering, Purdue Univ., West Lafayette, IN 47907-2051. ORCID: https://orcid.org/0000-0002-5546-7797. Email: [email protected]

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