Correlated environmental impacts of wastewater management in a spatial context

Abstract

We study the interplay between residential location choice, sprawl and water quality. We propose an urban economics model of a, first, monocentric, then, polycentric city with two different residential areas : sewer-serviced suburbia, with small residential lot size, and exurbia where wastewater management is individual and on-site and residential lots are larger to accomodate sanitary requirements. Sewer and septic are also characterized by different abatement efficiencies. Within this framework, where development is assumed contiguous, we analyse how wastewater management and commuting costs impact on residential location choice and consequently on sprawl and water quality. According to the abatement efficiency gap between sewer and septic technologies, improving water quality may be achieved at the expense of higher or lower sprawl. The extension to the polycentric setting allows introducing heterogeneities in wastewater and commuting costs that illustrate how independant policy makers may impact the sprawl and water quality of the entire metropolis.

Why housing and transport costs should always be considered together: A monocentric analysis of prudential measures in housing access

“…7 See Fujita (1989) for a thoroughgoing presentation and analysis of the monocentric model. 8 Several works lift this assumption (Brueckner, 1979;Legras, 2015;Ogawa and Fujita, 1980;White, 1988;Yinger, 1992), but at the cost of great analytical complexity. See Breteau and Leurent (2010) for a review.…”

Review of Latest Advances in Nature-Inspired Algorithms for Optimization of Activated Sludge Processes

“…The design and operation of wastewater treatment plants must consider quite a few uncertain factors, such as the physical and chemical composition of wastewater and the biological composition of organisms used to treat the wastewater. There are increasing concerns about the environmental impacts of wastewater, in terms of safe treatment, safe disposal, and safe reuse [1][2][3]. Over the years, this has led to Artificial Intelligence techniques, predominantly nature-inspired Artificial Intelligence techniques, being used for process control within treatment plants to maximize the efficiency of treatment and decrease energy consumption [4].…”

A Role for Regional Science in Analyzing Water Issues

“…In more recent years, regional scientists have broadened the methods of analysis for analyzing regional water issues as well as water supply, demand, and pricing, including hedonic models (Chamblee et al, 2009;Suparman et al, 2016), cost functions (Bottasso and Conti, 2009), price elasticities (Duke et al, 2002), constructing composite indeces (Nissan and Carter, 2002), demand functions (Bae, 2007), input-output analysis (Whited, 2010;Guerrero et al, 2017;Dudesing, 2017), social accounting matrices and regional computable general equilibrium models (Seung et al, 2000), sequential and bilateral trading algorithms (Smith et al, 2012), quasi-experimental control group analysis (Golden and Leatherman, 2019), surveys (Greenhalgh and Selman, 2012;Hartt, 2014;Thaler, 2016), and monocentric city and polycentric city models (Legras, 2015).…”