@article{bunds_kanters_venditti_rajagopalan_casper_carlton_2018, title={Organized youth sports and commuting behavior: The environmental impact of decentralized community sport facilities}, volume={65}, ISSN={1361-9209}, url={http://dx.doi.org/10.1016/j.trd.2018.08.017}, DOI={10.1016/j.trd.2018.08.017}, abstractNote={• Previous research has not quantified the extent of travel required for participation in organized sport. • Participants spent an average of 106 min/week in car transport accounting for 28% of the participant’s average driving time per week. • The environmental impact of this youth sport program annually is about 400 tonnes of CO2eq. • Assigning children to practice at the closest facility to their homes could reduce emissions from this travel by 12% whereas upgrading vehicle gas mileage efficiency could reduce emissions by 40%.}, journal={Transportation Research Part D: Transport and Environment}, publisher={Elsevier BV}, author={Bunds, Kyle S. and Kanters, Michael A. and Venditti, Richard A. and Rajagopalan, Neethi and Casper, Jonathan M. and Carlton, Troy A.}, year={2018}, month={Dec}, pages={387–395} }
 @article{zielinski_andreucci_rajagopalan_aktas_2018, title={Prospects for meeting the corporate average fuel economy standards in the US}, volume={136}, ISSN={["1879-0658"]}, DOI={10.1016/j.resconrec.2018.03.026}, journal={RESOURCES CONSERVATION AND RECYCLING}, author={Zielinski, Jessica and Andreucci, Rebecca and Rajagopalan, Neethi and Aktas, Can B.}, year={2018}, month={Sep}, pages={466–472} }
 @misc{rajagopalan_kelley_2017, title={Evaluating Sustainability of Buildings Using Multi-Attribute Decision Tools}, volume={67}, ISSN={["0015-7473"]}, DOI={10.13073/fpj-d-16-00028}, abstractNote={Abstract Developing tools and methodologies for the evaluation of sustainable buildings is essential to promote transparency in the building design community. Building sustainability includes attributes from the built, natural, and social systems and inherently requires a series of trade-offs. These complex and often competing priorities require consideration at each stage of a building's life cycle. A total of 24 environmental, social, and economic indicators were developed and applied to three alternative building systems: cross-laminated timber (CLT), steel and glass, and reinforced concrete. The goal of this study was to demonstrate the use of a multi-attribute decision support system (MADSS) that uses a series of indicators, assigns numerical values to these indicators, and then allows for systematic evaluation and ranking of alternatives. A case study approach was used to demonstrate the utility of the MADSS approach in identifying “hot spots” and trade-offs for the three building systems. Portland,...}, number={3-4}, journal={FOREST PRODUCTS JOURNAL}, author={Rajagopalan, Neethi and Kelley, Stephen S.}, year={2017}, pages={179–189} }
 @article{rajagopalan_venditti_kelley_daystar_2017, title={Multi-attribute uncertainty analysis of the life cycle of lignocellulosic feedstock for biofuel production}, volume={11}, ISSN={1932-104X 1932-1031}, url={http://dx.doi.org/10.1002/BBB.1737}, DOI={10.1002/bbb.1737}, abstractNote={AbstractLife cycle assessments (LCAs) have become a common tool for measuring the environmental performance of various products and processes. This study reviewed the life cycle of lignocellulosic biomass feedstock‐based (pine, eucalyptus, and switchgrass) ethanol biofuels and compared the results to gasoline. Uncertainty analysis of the cradle‐to‐wheel results was conducted using a pedigree matrix method to address uncertainty of life cycle inventory items. A tool called stochastic multi‐attribute analysis for life cycle impact assessment (SMAA‐LCIA) was used to interpret the results generated from the LCA. The normalized results showed that gasoline had high environmental impacts in categories such as carcinogenics and global warming, followed by switchgrass. But the use of a single‐score metric indicated that all bio‐based feedstocks had similar environmental performance, all significantly better than gasoline. The SMAA‐LCIA results showed that when all impacts were weighted equally, the preference from highest to lowest was for loblolly pine, eucalyptus, gasoline, and switchgrass. This rank order switched when differing weighting schemes of Producer, User, and LCA Expert were used. Overall, this method highlights the trade‐offs associated with the selection of different feedstocks and improves the comparison of overall results amongst fuel sources, which can then be more clearly presented to a decision‐maker. © 2016 Society of Chemical Industry and John Wiley & Sons, Ltd}, number={2}, journal={Biofuels, Bioproducts & Biorefining: BIOFPR}, publisher={Wiley}, author={Rajagopalan, N. and Venditti, R. and Kelley, S. and Daystar, J.}, year={2017}, month={Mar}, pages={269–280} }