@article{hollar_rasdorf_liu_hummer_arocho_hsiang_2013, title={Preliminary Engineering Cost Estimation Model for Bridge Projects}, volume={139}, ISSN={0733-9364 1943-7862}, url={http://dx.doi.org/10.1061/(asce)co.1943-7862.0000668}, DOI={10.1061/(asce)co.1943-7862.0000668}, abstractNote={AbstractThis paper addresses one of the costs of new bridges, i.e., the cost of doing the preliminary engineering (PE). This particular aspect of cost has largely been neglected because of the difficulty in obtaining appropriate data. Typically, PE costs are determined as a percentage of construction costs, disregarding other project-specific parameters. Bridge projects let by the North Carolina (NC) DOT between 2001 and 2009 were reviewed. From an analysis of these 461 projects, the writers developed statistical models linking variation in PE costs with distinctive project parameters. The primary contribution this paper makes to the body of knowledge is the finding that PE cost estimates for bridge projects are commonly and significantly underestimated. The writers found that bridge projects exhibited a mean PE cost ratio of 28%. This result is significantly greater than the percentage used in practice. An investigation of data sources related to bridge projects, a description of regression techniques ap...}, number={9}, journal={Journal of Construction Engineering and Management}, publisher={American Society of Civil Engineers (ASCE)}, author={Hollar, Donna A. and Rasdorf, William and Liu, Min and Hummer, Joseph E. and Arocho, Ingrid and Hsiang, Simon M.}, year={2013}, month={Sep}, pages={1259–1267} }
 @article{rasdorf_lewis_marshall_arocho_frey_2012, title={Evaluation of On-Site Fuel Use and Emissions over the Duration of a Commercial Building Project}, volume={18}, ISSN={["1943-555X"]}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-84861877818&partnerID=MN8TOARS}, DOI={10.1061/(asce)is.1943-555x.0000071}, abstractNote={AbstractCommercial construction operations are heavy users of nonroad equipment and diesel engines. These engines are large contributors of carbon dioxide (CO2) and other engine-based pollutants and consume large quantities of diesel fuel. This paper presents a case study to identify construction activities that cause the most emissions and fuel use on a construction project and to determine when and where these occur. The paper links emissions and fuel use of construction activities with a project schedule to establish a temporal relationship. RSMeans was used to obtain equipment productivity. Equipment emission rates and fuel use rates were obtained from the EPA’s NONROAD Model. A sensitivity analysis was conducted to investigate the effect of changes in scheduling, equipment size, and EPA engine tier on emissions and fuel use. Site construction activities proved to be the heaviest polluters and caused a significant spike in emissions early in the project. Further study is recommended to validate the tr...}, number={2}, journal={JOURNAL OF INFRASTRUCTURE SYSTEMS}, author={Rasdorf, William and Lewis, Phil and Marshall, Steven Kelly and Arocho, Ingrid and Frey, H. Christopher}, year={2012}, month={Jun}, pages={119–129} }
 @inproceedings{hollar_arocho_hummer_liu_rasdorf_2010, title={Development of a regression model to predict preliminary engineering costs}, ISBN={9781933452517}, booktitle={ITE 2010 Technical Conference and Exhibit compendium of technical papers}, publisher={Washington, D.C. : Institute of Transportation Engineers}, author={Hollar, D. and Arocho, I. and Hummer, J. and Liu, M. and Rasdorf, W.}, year={2010} }