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A sustainability-based socio-technical-environmental project selection algorithm

Abstract

Including environmental and health impacts in project option selection is important to serve humanity and reduce the adverse effects of development. An algorithm is introduced here that includes lifecycle costs, avoided losses, users’ willingness to pay and value per statistical life (VSL), and both environmental and health impacts. The algorithm is entitled the Socio-Technical-Environmental Project Selection (STEPS) algorithm and incorporates social and health aspects through the willingness to pay, technical aspects through the engineering design, and economic aspects through the lifecycle costs. The algorithm consists of estimating the various quantities needed, such as lifecycle costs, benefits (avoided mortality and infrastructure losses), willingness to pay, and the Environmental Protection Agency’s Maximum Contaminant Level (EPA-MCL). These values are plotted with the environmental and health impacts on the horizontal axis and the Net Cost (equal to the lifecycle cost minus the benefits) on the vertical axis. The most balanced option is the one that plots closest to the origin of the plot. The new algorithm is demonstrated on project selection for the elimination of riverbank erosion using recycled concrete aggregate (RCA) as riprap. RCA uses previously used crushed concrete from demolition as aggregate for any beneficial purpose such as aggregate for new concrete or riprap, as in this case. The disadvantage of RCA, however, is that harmful chemicals leach out when exposed to water. Four options were considered, namely (1) do nothing, (2) use RCA as a riverbank erosion countermeasure, (3) use RCA with a leachate treatment system, and (4) use rock riprap instead of RCA. It was found that the proposed STEPS algorithm leads to the selection of Option 3 with RCA riprap and leachate treatment. Selecting by cost alone would have led to Option 2, which also happens to result in a violation of the EPA-MCL for the arsenic leachate. In addition, Option 4 would have been selected without considering RCA or the problem with landfills reaching capacity with the addition of crushed concrete. The STEPS algorithm, therefore, resulted in the most sustainable solution considering both the lifecycle cost and health and environmental impacts.

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References

  • Aldy JE, Viscusi WK (2007) Age differences in the value of statistical life: revealed preference evidence. Rev Environ Econ Policy 1:241–260

    Article  Google Scholar 

  • Anderson AG, Paintal AS, Davenport JT (1970) Tentative design procedure for riprap lined channels. In: NCHRP report 108. National Cooperative Highway Research Program, Highway Research Board, National Research Council, Washington, DC

  • Arrow KJ, Solow RS, Learner E, Portney P, Rodner R, Schuman H (1993) Report of the NOAA-panel on contingent valuation. Fed Regist 58(10):4601–4614

    Google Scholar 

  • Baldwin, M. and Lammers, J. (2016) "Past-focused environmental comparisons promote proenvironmental outcomes for conservatives." Proceedings of the National Academy of Sciences of the United States of America. http://www.pnas.org/content/113/52/14953.full. Accessed 14 June 2017

  • Bar P, Becker N, Segev M (2016) Sand dunes management: a comparative analysis of ecological versus economic valuations applied to the coastal region in Israel. Reg Environ Change 16:941. doi:10.1007/s10113-015-0808-z

    Article  Google Scholar 

  • Bazrkar MH, Tavakoli-Nabavi E, Zamani N, Eslamian S (2013) System dynamic approach to hydro-politics in Hirmand transboundary river basin from sustainability perspective. Int J Hydrol Sci Technol 3(4):378–398

    Article  Google Scholar 

  • Bhattu B (2016) A sustainability-based project selection algorithm: socio-technical-economic project selection (STEPS) algorithm. M.S. thesis, Michigan Technological University, Houghton. http://digitalcommons.mtu.edu/do/search/?q=author_lname%3A%22Bhattu%22%20author_fname%3A%22Bharathi%22&start=0&context=3585549. Accessed 14 June 2017

  • Braen S (2016) RCA—recycled concrete aggregate. http://www.braenstone.com/recycled-concrete-aggregate-rca/. Accessed 2 Dec 2016

  • Cameron TA, DeShazo JR, Johnson EH (2010a) Willingness to pay for health risk reductions: differences by type of illness. In: Presented at the third biennial conference of the American Society of Health Economists, Ithaca, 20–23 June 2010

  • Cameron TA, DeShazo JR, Johnson EH (2010b) The effect of children on adult demands for health-risk reductions. J Health Econ 29(3):364–376

    Article  Google Scholar 

  • Cameron TA, DeShazo JR, Ryan B (2014) Willingness to pay for public health policies to treat illnesses. J Health Econ 39:74–88

    Google Scholar 

  • Cano O, Barkdoll B (2016) Multiobjective, socioeconomic, boundary-emanating, nearest distance algorithm for stormwater low-impact BMP selection and placement. J Water Resour Plan Manag. doi:10.1061/(ASCE)WR.1943-5452.0000726

    Google Scholar 

  • Chen J, Brown B (2012) Leaching characteristics of recycled aggregate used as road base. University of Wisconsin. https://www.wisconsin.edu/waste-research/download/2012_student_reports/12%20MSN%20Chen%20&%20Brown%20RCA%20leaching%20study.pdf. Accessed 2 Dec 2016

  • Chen J, Tinjum JM, Edil TB (2013) Leaching of alkaline substances and heavy metals from recycled concrete aggregate used as unbound base course. J Transp Res Rec 2349:81–90

    Article  Google Scholar 

  • Chestnut LG, Rowe RD, Breffle WS (2012) Economic valuation of mortality-risk reduction: stated preference estimates from the United States and Canada. Contemp Econ Policy 30(3):399–416

    Article  Google Scholar 

  • Chi IC, Blackwell RQ (1968) A controlled retrospective study of blackfoot disease, an endemic peripheral gangrene disease in Taiwan. Am J Epidemiol 88:7–24

    Article  Google Scholar 

  • Cho Y, Easter KW, Konishi Y (2010) Economic evaluation of the new U.S. arsenic standard for drinking water: a disaggregate approach. Water Resour Res 46:W10527. doi:10.1029/2009WR008269

    Article  Google Scholar 

  • Chow VT (1959) Open channel hydraulics. McGraw Hill, New York

    Google Scholar 

  • Engel RR, Smith AH (1994) Arsenic in drinking water and mortality from vascular disease: an ecologic analysis in 30 counties in the United States. Arch Environ Health 49:418–427

    Article  Google Scholar 

  • Eslamian S, Motevallian SS (2014) Sustainability in urban water system. In: Eslamian S (ed) Handbook of engineering hydrology, chap 27, vol 1. Fundamentals and applications. Francis and Taylor/CRC Group, New York, pp 549–562.105

  • FHWA (2004). Transportation applications of recycled concrete aggregate. Federal Highway Administration, U.S. Department of Transportation. http://www.cdrecycling.org/assets/concrete-recycling/applications.pdf. Accessed 2 Dec 2016

  • Hammitt JK (2007) Valuing changes in mortality risk: lives saved versus life years saved. Rev Environ Econ Policy 1(2):228–240

    Article  Google Scholar 

  • Hammitt JK, Robinson LA (2011) The income elasticity of the value per statistical life: transferring estimates between high and low income populations. J Benefit Cost Anal 2. doi:10.2202/2152-2812.1009

  • Hanemann WM (1994) Valuing the environment through contingent valuation. J Econ Perspect 8:19–43

    Article  Google Scholar 

  • Hopenhayn-Rich C, Biggs ML, Fuchs A, Bergoglio R, Tello EE, Nicolli H, Smith AH (1996) Bladder cancer mortality associated with arsenic in drinking water in Argentina. Epidemiology 7:117–124

    Article  Google Scholar 

  • Kanninen BJ (2007) Valuing environmental amenities using stated choice studies. Springer, Dordrecht

    Book  Google Scholar 

  • Nazari R, Eslamian S, Khanbilvardi R (2012) Water reuse and sustainability, chap 11. In: Voudouris K, Vousta D (eds) Ecological water quality-water treatment and reuse, pp 241–254 (intech.112)

  • Noor Islam S, Reinstädtler S, Eslamian S (2015) Water reuse sustainability in cold climate regions. In: Eslamian S (ed) Urban water reuse handbook, chap 68. Taylor and Francis/CRC Group, New York, pp 875–886

    Google Scholar 

  • O’Connor JT (2002) Arsenic in drinking water. Water Eng Manag 149:45–47

    Google Scholar 

  • OCTEP (2016) Outrageous construction and test equipment prices. http://wirelessestimator.com/content/industryinfo/702. Accessed 16 Aug 2016

  • Park S-Y, Lim S-Y, Yoo S-H (2016) The economic value of the national meteorological service in the Korean household sector: a contingent valuation study. Sustainability 8:834

    Article  Google Scholar 

  • Robinson LA (2007) Policy monitor: how US government agencies value mortality risk reductions. Rev Environ Econ Policy 1(2):283–299

    Article  Google Scholar 

  • Schelling T (1968) The life you save may be your own. In: Chase SB Jr (ed) Problems in public expenditure analysis. Brookings Institution, Washington, DC

    Google Scholar 

  • Smith AH, Hopenhayn-Rich C, Goeden HM, Hertz-Picciotto I, Duggan HM, Wood R, Kosnett MJ, Smith MT (1992) Cancer risks from arsenic in drinking water. Environ Health Perspect 97:259–267. doi:10.1289/ehp.9297259

    Article  Google Scholar 

  • Smith AH, Goycolea M, Haque R, Biggs ML (1998) Marked increase in bladder and lung cancer mortality in a region of Northern Chile due to arsenic in drinking water. Am J Epidemiol 147:660–669

    Article  Google Scholar 

  • Smith AH, Lingas EO, Rahman M (2000) Contamination of drinking-water by arsenic in Bangladesh: a public health emergency. Bull World Health Organ 78(9):1093–1103

    Google Scholar 

  • Sohel N, Persson LA, Rahman M, Streatfield PK, Yunus M, Ekstrom EC, Vahter M (2009) Arsenic in drinking water and adult mortality: a population-based cohort study in rural Bangladesh. Epidemiology 20:824–830

    Article  Google Scholar 

  • Steinmaus C, Moore L, Hopenhayn-Rich C, Biggs ML, Smith AH (2000) Arsenic in drinking water and bladder cancer. Cancer Invest 2000(18):174–182

    Article  Google Scholar 

  • Sustainable environment (2016) Principle > future generations. http://www.sustainable-environment.org.uk/Principles/Future_Generations.php. Accessed 2 Dec 2016

  • Tsai S-M, Wang T-N, Ko Y-C (1999) Mortality for certain diseases in areas with high levels of arsenic in drinking water. Arch Environ Health 54:186–193

    Article  Google Scholar 

  • Tsuge T, Kishimoto A, Takeuchi K (2005) A choice experiment approach to the valuation of mortality. J Risk Uncertain 31(1):73–95

    Article  Google Scholar 

  • US SWDA (1986) United States. Public law 99-359; 100 Stat. 642. Safe drinking water act amendments of 1986, 1986-06-19

  • USEPA (2000) Guidelines for preparing economic analyses. U.S. Environmental Protection Agency Office of the Administrator, EPA 240-R-00-003

  • USEPA (2002) Arsenic in drinking water rule economic analysis. 815-R-00-026

  • USEPA (2003) Arsenic treatment technology evaluation handbook for small systems. In: Report USEPA 816-R-03-014, U.S. Environmental Protection Agency, Office of Water, Washington, D.C.

  • USEPA (2016) Valuing mortality risk reductions for policy: a meta-analytic approach. In: Prepared by the U.S. Environmental Protection Agency’s Office of Policy, National Center for Environmental Economics for review by the EPA’s Science Advisory Board, Environmental Economics Advisory Committee

  • Viscusi WK (1992) Fatal tradeoffs public and private responsibilities for risk. Oxford University Press, New York

    Google Scholar 

  • Viscusi WK, Joseph EA (2003) The value of a statistical life: a critical review of market estimates throughout the world. J Risk Uncertain 27(1):5–76

    Article  Google Scholar 

  • Zalewski M, McClain M, Eslamian S (2016a) New challenges and dimensions of ecohydrology-enhancement of catchments sustainability potential. Ecohydrol Hydrobiol 16:1–3

    Article  Google Scholar 

  • Zalewski M, McClain M, Eslamian S (2016b) Ecohydrology-the background for the integrative sustainability science. Ecohydrol Hydrobiol 16(71–73):150

    Google Scholar 

  • Zareian MJ, Eslamian SS, Safavi HR (2016) Investigating the effects of sustainability of climate change on the agriculture water consumption in the Zayandeh-Rud river basin. Water Soil Sci 20(75):113–128

    Article  Google Scholar 

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Correspondence to Brian D. Barkdoll.

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Bhattu, B., Barkdoll, B.D. & Breffle, W.S. A sustainability-based socio-technical-environmental project selection algorithm. Sustain. Water Resour. Manag. 4, 117–128 (2018). https://doi.org/10.1007/s40899-017-0149-9

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  • DOI: https://doi.org/10.1007/s40899-017-0149-9

Keywords

  • Sustainability
  • Erosion
  • Environmental impact
  • Value per statistical life
  • Riprap
  • Health economics
  • Non-market valuation
  • Willingness to pay