NIMBY or NIABY: a Logit Model of Opposition to Solid-waste-disposal Facility Siting

Lober, Douglas J.; Green, Donald Philip

doi:10.1006/jema.1994.1003

Cited by 99 publications

(64 citation statements)

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“…Based on the study developed by Lober and Green (1994) and Lober (1995), it was considered that public opposition decays exponentially with increasing distances. Suitability, in turn, increases with decreasing public opposition.…”

Section: Distance From Residential Areasmentioning

confidence: 99%

Siting MSW landfills with a weighted linear combination methodology in a GIS environment

Mahini

Gholamalifard

2006

Int. J. Environ. Sci. Technol.

136

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ABSTRACT:Landfill has been taken to the bottom of the hierarchy of options for waste disposal but has been the most used method for urban solid waste disposal. However, landfill has become more difficult to implement because of its increasing cost, community opposition, and more restrictive regulations regarding the siting and operation of landfills. Land is a finite and scarce resource that needs to be used wisely. Appropriate allocation of landfills involves the selection of areas that are suitable for waste disposal. The present work describes a type of multi-criteria evaluation (MCE) method called weighted linear combination (WLC) in a GIS environment to evaluate the suitability of the study region for landfill. The WLC procedure is characterized by full tradeoff among all factors, average risk and offers much flexibility than the Boolean approaches in the decision making process. The relative importance weights of factors are estimated using the analytical hierarchy process (AHP). In the final aggregated suitability image, zones smaller than 20 hectares are eliminated from the allocation process. Afterwards, the land suitability of a zone is determined by calculating the average of the suitability of the cells belonging to that zone, a process called zonal land suitability. The application of the presented method to the Gorgan city (Iran) indicated that there are 18 zones for landfill with their zonal land suitability varying from 155.426117 to 64.149024. The zones were ranked in descending order by the value of their zonal land suitability. The results showed the use of GIS as a decision support system (DSS) available to policy makers and decision makers in municipal solid waste (MSW) management issues.

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Section: Distance From Residential Areasmentioning

confidence: 99%

Siting MSW landfills with a weighted linear combination methodology in a GIS environment

Mahini

Gholamalifard

2006

Int. J. Environ. Sci. Technol.

136

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“…As argued by Frey et al [12], recent studies have shown that citizens, moved by a sense of "public spirit," may well agree to hosting waste treatment and other NIMBY projects in their communities. Residents have been shown to be willing to vote in favor of hosting a NIMBY project if there is a "need" for such a facility [27], if their own site is safer than sites in other available communities [10,25], and if the site selection process allocates the burden "fairly" [11]. There is no doubt that actual siting of NIMBYs is a complex problem.…”

Section: Resultsmentioning

confidence: 99%

“…27 In a different environment, that of double auctions, Rustichini et al [35] identify the rate of convergence of buyers' and sellers' bids to valuations. 28 We assume that the agents' different beliefs already incorporate all the available information.…”

Section: The Axiomatic Approachmentioning

confidence: 99%

Effective Siting of Waste Treatment Facilities

Minehart

Neeman

2002

Journal of Environmental Economics and Management

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A waste treatment plant or another essential but potentially unpleasant facility has to be built in one of n communities. We present a simple auction-like procedure that identifies the best location and determines a system of transfers that provide the host community with adequate compensation. The siting procedure is simple and effective and can be readily applied in real world situations. In addition, it is ex post budget balanced, ex post individually rational, and robust, and it induces bidding the true disutility (or close to it) as a focal strategy in many different environments.  2001 Elsevier Science (USA)

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“…Kuhn (1998) for instance verifies a positive relationship between facility acceptability, risk perception, and distance from the place of residence among the supporters of a nuclear-fuel waste disposal plant in Canada. Lober and Green (1994) and Lober (1995) measure the aversion towards siting waste disposal plants. They discover that proximity to a proposed facility will affect support or opposition to it depending upon the type of facilities at issue and the perceived benefits and costs associated with them.…”

Section: Introductionmentioning

confidence: 99%

One More in My Backyard? Insights from the 2011 Italian Nuclear Referendum

Pignataro

Prarolo

2012

SSRN Journal

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This paper investigates the 2011 Italian referendum on nuclear power as a clean laboratory for recovering information on the spatial pattern of votes about the construction (or restoration) of nuclear facilities. Our results show that voting preferences on building nuclear facilities are sensible to proximity determined by a strong local component. Voters' opposition to nuclear installments tends to be even higher when the effect of both existing and proposed plants is taken into account. The study tracks the changes of risk perception and voting preferences finding a positive correlation between the distance-related perceived nuclear risk and the share of participation against nuclear power. The perceived risk and the consequent voting pattern are even higher in communities close to proposed nuclear plants compared to the existing ones. This holds even after taking into account local, regional and political features and several municipality characteristics which may influence preferences over nuclear power.

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NIMBY or NIABY: a Logit Model of Opposition to Solid-waste-disposal Facility Siting

Cited by 99 publications

References 0 publications

Siting MSW landfills with a weighted linear combination methodology in a GIS environment

Siting MSW landfills with a weighted linear combination methodology in a GIS environment

Effective Siting of Waste Treatment Facilities

One More in My Backyard? Insights from the 2011 Italian Nuclear Referendum

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