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
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
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
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
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
Cameron TA, DeShazo JR, Ryan B (2014) Willingness to pay for public health policies to treat illnesses. J Health Econ 39:74–88
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
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
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
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
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
Chow VT (1959) Open channel hydraulics. McGraw Hill, New York
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
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
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
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
Kanninen BJ (2007) Valuing environmental amenities using stated choice studies. Springer, Dordrecht
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
O’Connor JT (2002) Arsenic in drinking water. Water Eng Manag 149:45–47
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
Robinson LA (2007) Policy monitor: how US government agencies value mortality risk reductions. Rev Environ Econ Policy 1(2):283–299
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
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
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
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
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
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
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
Tsuge T, Kishimoto A, Takeuchi K (2005) A choice experiment approach to the valuation of mortality. J Risk Uncertain 31(1):73–95
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
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
Zalewski M, McClain M, Eslamian S (2016a) New challenges and dimensions of ecohydrology-enhancement of catchments sustainability potential. Ecohydrol Hydrobiol 16:1–3
Zalewski M, McClain M, Eslamian S (2016b) Ecohydrology-the background for the integrative sustainability science. Ecohydrol Hydrobiol 16(71–73):150
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
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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