Abstract

The Oregon Department of Transportation (ODOT) has been using survey-grade mobile Light Detection and Ranging (LiDAR) technology to scan and create three-dimensional (3D) representations of its more than 12,880 km of roadways and gradually replacing traditional surveying when possible since 2015. The application of such technology to create a repository of images of all roadways within a state is in the early adoption phase; the direct impact of such an endeavor on the public is minimal, as it mainly affects the state agency. This article presents a method to quantify the benefits and cost savings of this endeavor using a case study approach, a present value index, and a breakeven analysis. The present value index showed over a $2 saving for every $1 invested over the technology’s 5-year useful life. The breakeven analysis showed that ODOT will breakeven with its annualized cost when mobile mapping is used to survey 79.2 km of roadways and 14 projects annually, regardless of the amount of funding received.

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Data Availability Statement

Some or all data, models, or code generated or used during the study are available from the corresponding author by request. All data used in this study are available in Sillars et al (2017) or by request. The detail calculation for all the costs and savings is included in Appendices D through F in Sillars et al (2017).

Acknowledgments

The work was supported by the Oregon Department of Transportation, under Project 30530-16-14. The authors acknowledge the contribution of Siqi Wang and Rime Elatlassi in a portion of the data collection tasks for this project.

Disclaimer

The content was written at the discretion of the authors and does not necessarily reflect the official views of the Oregon Department of Transportation. The State of Oregon assumes no liability of its contents or use thereof.

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Go to Journal of Transportation Engineering, Part A: Systems
Journal of Transportation Engineering, Part A: Systems
Volume 146Issue 7July 2020

History

Received: Aug 19, 2019
Accepted: Jan 13, 2020
Published online: Apr 25, 2020
Published in print: Jul 1, 2020
Discussion open until: Sep 25, 2020

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Authors

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Molly A. Martin [email protected]
Graduate Student, School of Mechanical, Industrial and Manufacturing Engineering, Oregon State Univ., (c/o: Ean Ng), 204 Rogers Hall, Corvallis, OR 97331. Email: [email protected]
Qais K. Jahanger, S.M.ASCE [email protected]
Ph.D. Candidate and Lecturer, Dept. of Civil Engineering, Al-Mustansiriya Univ., Baghdad 10047, Iraq; Ph.D. Candidate, School of Civil and Construction Engineering, Oregon State Univ., 345 Owen Hall, Corvallis, OR 97331. Email: [email protected]
Grant Zimmerman [email protected]
Research Associate, WestWater Research, 320 E Vine Dr., Suite 223, Fort Collins, CO 80524. Email: [email protected]
Ph.D. Student, Dept. of Applied Economics, Oregon State Univ., 203 Ballard Extension Hall, Corvallis OR 97331. ORCID: https://orcid.org/0000-0003-2076-318X. Email: [email protected]
David N. Sillars, Ph.D., M.ASCE [email protected]
P.E.
Associate Professor Emeritus, R.C. Wilson Chair, School of Civil and Construction Engineering, Oregon State Univ., 101 Kearney Hall, Corvallis, OR 97331. Email: [email protected]
Assistant Professor, School of Mechanical, Industrial and Manufacturing Engineering, Oregon State Univ., 204 Rogers Hall, Corvallis, OR 97331, (corresponding author). ORCID: https://orcid.org/0000-0001-9016-3097. Email: [email protected]
Associate Professor, School of Mechanical, Industrial and Manufacturing Engineering, Oregon State Univ., 204 Rogers Hall, Corvallis, OR 97331. ORCID: https://orcid.org/0000-0002-0332-8752. Email: [email protected]

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