In the context of sustainable transportation systems, previous studies have either focused only on the transportation system or have not used a methodology that enables the treatment of incomplete, vague, and qualitative information associated with the available data. This study proposes a system of systems (SOS) and a fuzzy logic modeling approach. The SOS includes the Transportation, Activity, and Environment systems. The fuzzy logic modeling approach enables the treatment of the vagueness associated with some of the relevant data. Performance Indices (PIs) are computed for each system using a number of performance measures. The PIs illustrate the aggregated performance of each system as well as the interactions among them. The proposed methodology also enables the estimation of a Composite Sustainability Index to summarize the aggregated performance of the overall SOS. Existing data was used to analyze sustainability in the entire United States. The results showed that the Transportation and Activity systems follow a positive trend, with similar periods of growth and contractions; in contrast, the environmental system follows a reverse pattern. The results are intuitive and are associated with a series of historic events, such as depressions in the economy as well as policy changes and regulations. 1. Introduction 1.1. Background With the rapid increase in economic development throughout the world, there is stress on the resources used to support global economy, including petroleum, coal, silver, and water. Currently, the world is consuming energy at an unprecedented rate never seen before. Based on data from 2005, about 30.6 billion barrels of petroleum are used annually worldwide . The estimates indicate that the availability of total world reserves is in the vicinity of 1.3 trillion barrels and will be depleted by 2047 . The finite nature of such nonrenewable natural resources as petroleum and coal puts pressure on the environmental system and ultimately reduces the availability of resources for future generations. Hence, it is critical to develop planning and operational strategies that seek to achieve a sustainable use of existing natural resources. The development of a sustainable system and its corresponding planning strategies requires an adequate definition of sustainability as well as mechanisms to quantify, qualify, and assess sustainability. The quantification of sustainability poses considerable challenges, ranging from data availability to adequate methods to process information. Numerous studies have established different
J. J. MacKenzie, “Alternative fuels to reduce petroleum consumption, global warming gases, and urban air pollution,” in Symposium on Challenges and Opportunities for Global Transportation in the 21st Century, John A. Volpe Transportation Systems Center, Cambridge, Mass, USA, 1995.
J. Zheng, C. Atkinson-Palombo, C. McCahill, R. O’Hara, and N. W. Garrick, “Quantifying the economic domain of transportation sustainability,” in Proceedings of the Annual Meeting of the Transportation Research Board—CDROM, Washington, DC, USA, 2011.
C. M. Jeon, A. A. Amekudzi, and R. L. Guensler, “Evaluating plan alternatives for transportation system sustainability: Atlanta metropolitan region,” International Journal of Sustainable Transportation, vol. 4, no. 4, pp. 227–247, 2010.
J. A. Paravantis and D. A. Georgakellos, “Trends in energy consumption and carbon dioxide emissions of passenger cars and buses,” Technological Forecasting and Social Change, vol. 74, no. 5, pp. 682–707, 2007.
S. Huzayyin and H. Salem, “Analysis of thirty years evolution of urban growth, transport demand and supply, energy consumption, greenhouse and pollutants emissions in Greater Cairo,” Research in Transportation Economics, vol. 40, no. 1, pp. 104–115, 2013.
IUCN (World Conservation Union), UNEP (United Nations Environment Programme), and WWF (World Wide Fund for Nature), Caring for the Earth: A Strategy for Sustainable Living, IUCN, Gland, Switzerland, 1991.
J. Zietsman, L. R. Rilett, and S. J. Kim, “Transportation corridor decision-making with multi-attribute utility theory,” International Journal of Management and Decision Making, vol. 7, no. 2-3, pp. 254–266, 2006.
R. Islam and T. L. Saaty, “The analytic hierarchy process in the transportation sector,” in Multiple Criteria Decision Making for Sustainable Energy and Transportation Systems, vol. 634 of Lecture Notes in Economics and Mathematical Systems, Springer, Physica, Berlin, Heidelberg, 2010.
G. A. Mendoza and R. Prabhu, “Multiple criteria decision making approaches to assessing forest sustainability using criteria and indicators: a case study,” Forest Ecology and Management, vol. 131, no. 1-3, pp. 107–126, 2000.
S. Yedla and R. M. Shrestha, “Multi-criteria approach for the selection of alternative options for environmentally sustainable transport system in Delhi,” Transportation Research A, vol. 37, no. 8, pp. 717–729, 2003.
A. Awasthi and H. Omrani, “A hybrid approach based on AHP and belief theory for evaluating sustainable transportation solutions,” International Journal of Global Environmental Issues, vol. 9, no. 3, pp. 212–226, 2009.
L. A. Marks, E. G. Dunn, J. M. Keller, and L. D. Godsey, “Multiple criteria decision making (MCDM) using fuzzy logic: an innovative approach to sustainable agriculture,” in Proceedings of the 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society (ISUMA-NAFIPS'95), pp. 503–508, IEEE Computer Society, Washington, DC, USA, September 1995.
ESI (Environmental Sustainability Index), Benchmarking National Environmental Stewardship, Yale Center for Environmental Law and Policy, Yale University, 2005, http://www.yale.edu/esi/ESI2005_Main_Report.pdf.
D. S. Kim, D. Porter, and R. Wurl, Technology Evaluation for Implementation of VMT Based Revenue Collection Systems, Oregon Department of Transportation, Road User Fee Task Force, Salem, Ore, USA, 2002.
K. Jordal, M. Anheden, J. Yan, and L. Str？mberg, “Oxy-fuel Combustion for coal-fired power generation with CO2 capture—opportunities and challenges,” in Proceedings of the 7th International Conference on Greenhouse Gas Control Technologies (GHGT-7), Vancouver, Canada, 2004.
M. P. Hekkert, F. H. J. F. Hendriks, A. P. C. Faaij, and M. L. Neelis, “Natural gas as an alternative to crude oil in automotive fuel chains well-to-wheel analysis and transition strategy development,” Energy Policy, vol. 33, no. 5, pp. 579–594, 2005.
M. Q. Wang and H. S. Huang, “A full fuel-cycle analysis of energy and emissions impacts of transportation fuels produced from natural gas,” Report No. ANL/ESD-40, Center for Transportation Research, Energy Systems Division, Argonne National Laboratory, IL, US Department of Energy, 2000.
S. G. Wirasingha, N. Schofield, and A. Emadi, “Plug-in hybrid electric vehicle developments in the US: trends, barriers, and economic feasibility,” in Proceedings of the IEEE Vehicle Power and Propulsion Conference (VPPC'08), Harbin, China, September 2008.