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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2021. Practices for Construction-Ready Digital Terrain Models. Washington, DC: The National Academies Press. doi: 10.17226/26085.
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Page 43
Page 44
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2021. Practices for Construction-Ready Digital Terrain Models. Washington, DC: The National Academies Press. doi: 10.17226/26085.
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Page 44

Below is the uncorrected machine-read text of this chapter, intended to provide our own search engines and external engines with highly rich, chapter-representative searchable text of each book. Because it is UNCORRECTED material, please consider the following text as a useful but insufficient proxy for the authoritative book pages.

43 References 1. Landers, J. Accelerating Innovation. Civil Engineering, Vol. 85, No. 9, 2015, pp. 66–71. 2. FHWA. On-Ramp to Innovation: Every Day Counts. U.S. Department of Transportation, Washington, D.C., 2018. 3. Schneider, Christopher. 3D, 4D, and 5D Engineered Models for Construction. Techbrief FHWA-HIF-13-048, FHWA, U.S. Department of Transportation, 2013. 4. Schneider, Christopher. 3D Engineered Models: Schedule, Cost, and Post-Construction. FHWA-14-CAI-041, FHWA, U.S. Department of Transportation, 2014. 5. FHWA. EDC-3 Summit Summary and Baseline Report. Report FHWA-15-CAI-005, U.S. Department of Transportation, Washington, D.C., 2015. 6. Miller, C. L. The Theory and Application of the Digital Terrain Model. Doctoral dissertation. Massachusetts Institute of Technology, Cambridge, 1958. 7. Gant, R., and Y. Boivin. Using Point Clouds to Improve Infrastructure Design. Presented at SPAR Inter- national 2014 Conference, Colorado Springs, CO, 2014. 8. Torres, H. N., J. M. Ruiz, G. K. Chang, J. L. Anderson, and S. I. Garber. Automation in Highway Construc- tion Part I: Implementation Challenges at State Transportation Departments and Success Stories. Report FHWA-HRT-16-030, FHWA, U.S. Department of Transportation, 2018. 9. Miller, N. et al. A Comparison of Mobile Scanning to a Total Station Survey at the I-35 and IA 92 Interchange in Warren County, Iowa. Report RB22-011, Iowa Department of Transportation, Ames, IA, 2012. 10. Russell, J. D. Evaluating Mobile Scanning Data for Use Within a State DOT. Presented at Be Together: The Bentley User Conference, Philadelphia, PA, 2012. 11. Chang, J. C. et al. Considerations for Effective LiDAR Deployment by Transportation Agencies. Paper 14-0256. Presented at the Transportation Research Board Annual Meeting 2014, Transportation Research Board of the National Academies, Washington, D.C., 2014. 12. Searle, J., and R. Sridharan. Evaluate Use of the UDOT Mapping Grade, LiDAR Point Cloud for Design Grade Survey. Presented at SPAR International 2014 Conference, Colorado Springs, CO, 2014. 13. Hurwitz, D. et al. Transportation Applications for Mobile LiDAR: A State-of-the-Practice Questionnaire. Paper 13-1606, Transportation Research Board Annual Meeting 2013, Transportation Research Board of the National Academies, Washington, D.C., 2013. 14. Yen, K. S., T. A. Lasky, and B. Ravani. Cost-Benefit Analysis of Mobile Terrestrial Laser Scanning Applications for Highway Infrastructure. Journal of Infrastructure Systems, Vol. 20, No. 4, 2014, p. 04014022. 15. Olsen, M. J., J. D. Raugust, and G. V. Roe. NCHRP Synthesis 446: Use of Advanced Geospatial Data, Tools, Technologies, and Information in Department of Transportation Projects. Transportation Research Board of the National Academies, Washington, D.C., 2013. 16. Gilson, K. Integrated 3D Modeling and Visualization Programs for Large Transportation Projects. Presented at SPAR International 2014 Conference, Colorado Springs, CO, 2014. 17. Arena, D. 3D Design and the Digital Data Package. Design to Paver—Intelligent Construction Systems and Technologies Demonstration. Oregon Department of Transportation, Corvallis, OR, July 2014. 18. Maier, F., L. E. Chummers, S. Pulikanti, J. Q. Struthers, J. Mallela, and R. H. Morgan. Utilizing 3D Digital Design Data in Highway Construction-Case Studies. Report FHWA-HIF-17-027, FHWA Office of Infra- structure Research and Development, U.S. Department of Transportation, 2017. 19. Kong, S. W. R., L. T. Lau, S. Y. Wong, and D. T. Phan. A Study on Effectiveness of Building Information Modelling (BIM) on the Malaysian Construction Industry. In IOP Conference Series: Materials Science and Engineering, Vol. 713, No. 1, IOP Publishing, January 2020, p. 012035.

44 Practices for Construction-Ready Digital Terrain Models 20. McGraw-Hill Construction. The Business Value of BIM in North America Multi-Year Trend Analysis and User Ratings (2007–2012). 2012. https://images.autodesk.com/adsk/files/mhc_business_value_of_bim_in_ north_america_2007-2012_smr.pdf. 21. Olawumi, T. O., and D. W. Chan. An Empirical Survey of the Perceived Benefits of Executing BIM and Sustainability Practices in the Built Environment. Construction Innovation, Vol. 19, No. 3, 2019. 22. Samimpay, R., and E. Saghatforoush. Benefits of Implementing Building Information Modeling (BIM) in Infrastructure Projects. Journal of Engineering, Project, and Production Management, Vol. 10, No. 2, 2020, pp. 123–140. 23. Yew, Connie. BIM for Infrastructure. FHWA, U.S. Department of Transpor tation, n.d. https://www.fhwa. dot.gov/construction/bim/pdfs/integrated_digital_project_delivery_fhwa_hif_20_021.pdf. 24. Chipman, T. et al. Bridge Information Model Standardization, edited by Roger Grant. Report FHWA- HIF-16-011, FHWA Bridges & Structures, U.S. Department of Transportation, 2016. https://www.fhwa.dot. gov/bridge/pubs/hif16011/. 25. Randall, T. Construction Engineering Requirements for Integrating Laser Scanning Technology and Building Information Modeling. Journal of Construction Engineering and Management, Vol. 137, No. 10, 2011, pp. 797–805.

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Digital terrain models (DTMs) are three-dimensional (3D) models of the ground surface showing natural features such as ridges and breaklines.

The TRB National Cooperative Highway Research Program's NCHRP Synthesis 560: Practices for Construction-Ready Digital Terrain Models documents processes and strategies used by state departments of transportation (DOTs) for the use and transfer of DTMs from design into the construction phase of highway projects.

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