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Original Articles

Knowledge-based decision-making model for the management of transit system alternative fuel infrastructures

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Pages 184-194 | Received 28 Mar 2017, Accepted 15 May 2017, Published online: 31 May 2017

References

  • Alam A, Hatzopoulou M. 2014. Reducing transit bus emissions: alternative fuels or traffic operations? Atmos Environ. 89:129–139.
  • American Public Transportation Association. 2008. Changing the way America moves: creating a more robust economy, a smaller carbon footprint, and energy independence. Washington, DC.
  • Arimah B, Ebohon O. 2000. Energy transition and its implications for environmentally sustainable development in Africa. Int J Sustainable Dev World Ecol. 7:201–216.
  • Bastani P, Heywood J, Hope C. 2012. Fuel use and CO2 emissions under uncertainty from light-duty vehicles in the US to 2050. J Energy. 134:042202.
  • Cervero R, Sullivan C. 2011. Green TODs: marrying transit-oriented development and green urbanism. Int J Sustainable Dev World Ecol. 18:210–218.
  • Cui S, Niu H, Wang W, Zhang G, Gao L, Lin J. 2010. Carbon footprint analysis of the Bus Rapid Transit (BRT) system: a case study of Xiamen City. Int J Sustainable Dev World Ecol. 17:329–337.
  • El-Korany A, Rafea A, Baraka H, Eid S. 2000. A structured testing methodology for knowledge-based systems. International Conference on Database and Expert Systems Applications; London: Springer Berlin Heidelberg; p. 427–436.
  • Ercan T, Zhao Y, Tatari O, Pazour J. 2015. Optimization of transit bus fleet’s life cycle assessment impacts with alternative fuel options. Energy. 93:323–334.
  • Exsys Inc. 2010. Exsys Corvid knowledge automation expert systems software developer’s guide. Albuquerque, NM: Exsys Inc.
  • Faghri A. 1989. Computerization of heuristic-based decision-making problems in transportation engineering [ Doctoral Dissertation]. Charlottesville, VA: University of Virginia.
  • Fan R, Zhu B, Huang C, Sheng Z, Mao L, Li M. 2015. Different modes of synergistic toxicities between metam/copper (II) and metam/zinc (II) in HepG2 cells: apoptosis vs. necrosis. Environ Toxicol. 31:12.
  • Frey R, Faghri A, Li M. 2014. Development of an expert system for effective countermeasure identification at rural unsignalized intersections. Transportation Research Board 93rd Annual Meeting; Washington, DC; TRB.
  • Hackbarth A, Madlener R. 2013. Consumer preferences for alternative fuel vehicles: a discrete choice analysis. Transp Res Part D Transp Environ. 25:5–17.
  • Hamad K, Faghri A, Li M. 2015. Forecasting model for vehicular demand: an alternative methodology in the context of developing countries. J Developing Areas. 49:125–143.
  • Horne R, Grant T, Verghese K. 2009. Life cycle assessment: principles, practice, and prospects. Clayton South (VIC): Csiro Publishing.
  • Ibbotson S, Kara S. 2013. LCA case study. Part 1: cradle-to-grave environmental footprint analysis of composites and stainless steel I-beams. Int J Life Cycle Assess. 18:208–217.
  • Laghaei J, Faghri A, Li M. 2015. Impacts of home shopping on vehicle operations and greenhouse gas emissions: multi-year regional study. Int J Sustainable Dev World Ecol. 23:381–391.
  • Li M, Faghri A. 2014. Cost-benefit analysis of added cycling facilities. Transp Res Rec. 2468:55–63.
  • Li M, Faghri A. 2016. Applying problem-oriented and project-based learning in a transportation engineering course. J Prof Issues Eng Educ Pract. 142:04016002.
  • Li M, Faghri A, Ozden A, Yue Y. 2017a. Economic feasibility study for pavement monitoring using synthetic aperture radar-based satellite remote sensing: cost–benefit analysis. Transp Res Rec. 1–11.
  • Li M, Rouphail N, Mahmoudi M, Liu J, Zhou X. 2017b. Multi-scenario optimization approach for assessing the impacts of advanced traffic information under realistic stochastic capacity distributions. Transp Res Part C Emerging Technol. 77:113–133.
  • Li M, Zhou X, Rouphail N. 2017c. Quantifying travel time variability at a single bottleneck based on stochastic capacity and demand distributions. J Intell Transp Syst Technol Plann Oper. 21:79–93.
  • Malça J, Freire F. 2006. Renewability and life-cycle energy efficiency of bioethanol and bio-ethyl tertiary butyl ether (bioETBE): assessing the implications of allocation. Energy. 31:3362–3380.
  • McGraw J, Shull S, Miknaitis G. 2010. The Route to Carbon and Energy Savings: Transit Efficiency in 2030 and 2050. Chicago, IL and San Francisco, CA: Center for Neighborhood Technology.
  • McKenzie E, Durango-Cohen P. 2012. Environmental life-cycle assessment of transit buses with alternative fuel technology. Transp Res Part D. 17:39–47.
  • Ozden A, Faghri A, Li M. 2016a. Using knowledge-automation expert systems to enhance the use and understanding of traffic monitoring data in state DOTs. Procedia Eng. 145:980–986.
  • Ozden A, Faghri A, Li M, Tabrizi K. 2016b. Evaluation of synthetic aperture radar satellite remote sensing for pavement and infrastructure monitoring. Procedia Eng. 145:752–759.
  • Patil A, Herder P, Brown K. 2010. Investment decision making for alternative fuel public transport buses: the case of Brisbane transport. J Publ Transp. 13:115–133.
  • Roche M, Mourato S, Fischedick M, Pietzner K, Viebahn P. 2010. Public attitudes towards and demand for hydrogen and fuel cell vehicles: a review of the evidence and methodological implications. Energy Policy. 38:5301–5310.
  • Ryan F, Caulfield B. 2010. Examining the benefits of using bio-CNG in urban bus operations. Transp Res Part D Transp Environ. 15:362–365.
  • Salling K, Pryn M. 2015. Sustainable transport project evaluation and decision support: indicators and planning criteria for sustainable development. Int J Sustainable Dev World Ecol. 22:346–357.
  • Schipper L. 1976. Raising the productivity of energy utilization. Annu Rev Energy. 1:455–517.
  • Scott M, Kelly C, Collins E, Lewis J, Faghri A, Li M. 2017. Research of viable attributes and potential to integrate curbside intercity buses. Transportation Research Board 96th Annual Meeting. No. 17-06609; Washington, DC; TRB.
  • Taromi R, DuRoss M, Chen B, Faghri A, Li M, DeLiberty T. 2015. A multi-objective land development optimization model: the case of New Castle County, Delaware. Transportation Plann Technol. 38:277–304.
  • Vaughan M, Faghri A, Li M. 2017. An interactive expert system based decision making model for the management of transit system alternate fuel vehicle assets. Intell Inf Manag. 9:1–20.
  • Wahed M, Faghri A, Li M. 2017. An innovative simulation model for the operations of a multipurpose seaport: a case study from port of Wilmington, USA. Int J Simulation Modelling. 12:151.
  • Xu Y, Gbologah F, Lee D, Liu H, Rodgers M, Guensler R. 2015. Assessment of alternative fuel and powertrain transit bus options using real-world operations data: life-cycle fuel and emissions modeling. Appl Energy. 154:143–159.
  • Yu C, Kim J. 2010. Building pathology, investigation of sick buildings—VOC emissions. Indoor Built Environ. 19:30–39.
  • Zhang L, Xu W, Li M. 2009. Co-evolution of transportation and land use: modeling historical dependencies in land use and transportation decision-making. No. OTREC-RR-09-08. Portland, OR.

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