Integrated environmental index for application in land-use zoning

Sol, Veronica M.; Lammers, P.E.M.; Aiking, H.; Boer, J. de; Feenstra, J.F.

doi:10.1007/bf02471986

Cited by 15 publications

(16 citation statements)

References 5 publications

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“…Where possible, the datasets were averaged over the study period (air pollutants, climate, UV index) although for green space and industrial facilities the use of 'snapshot' data was unavoidable. It is also advisable that these kinds of measures should use datasets that are readily available and routinely updated (Sol et al, 1995). As far as possible, we used readily available UKwide datasets that are downloadable free-of-charge from the internet.…”

Section: Discussionmentioning

confidence: 99%

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Developing Summary Measures of Health-Related Multiple Physical Environmental Deprivation for Epidemiological Research

Richardson

Mitchell

Shortt³

et al. 2010

Environ Plan A

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Socioeconomic deprivation accounts for much of the spatial inequality in health in the UK, but a significant proportion remains unexplained. It is highly likely that the physical environment is a key factor in this unexplained variation. The role of the socioeconomic environment in health inequalities has been studied using small-area measures of multiple socioeconomic deprivation that capture the burden of socioeconomic adversity. Although similar composite measures of the physical environment would greatly assist investigations of environmental determinants of health no such measures are available. In this study we developed two small-area measures of health-related multiple physical environmental deprivation for the UK. A thorough review and evidence appraisal process was used to identify health-relevant dimensions of physical environmental deprivation. As a result we selected both health-detrimental (air pollution, cold climate, industrial facilities) and healthbeneficial (ultraviolet radiation and green space) dimensions. Data sets describing each of the selected dimensions were acquired, and rendered to UK Census Area Statistics wards (n = 10,654, average population = 5,518). We developed two summary measures: an index (MEDIx) and a classification (MEDClass). MEDIx, on an ordinal scale, can be used to distinguish areas exposed to greater or lesser environmental deprivation. MEDClass groups areas with similar environmental characteristics and will be useful for exploring health effects of specific types of environment. Mapping these measures demonstrated a wide variation in physical environmental deprivation across the UK. MEDIx revealed greater environmental deprivation in urban and industrial areas, and at more northerly latitudes. Although

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Section: Discussionmentioning

confidence: 99%

“…Elsewhere, environmental indices have been produced for applications other than health research, such as land-use planning (Pruppers et al, 1998;Sol et al, 1995). Although summary measures, or 'composite indicators', are proving increasingly popular with policy-makers, their development and use has been criticised.…”

Section: Introductionmentioning

confidence: 99%

Developing Summary Measures of Health-Related Multiple Physical Environmental Deprivation for Epidemiological Research

Richardson

Mitchell

Shortt³

et al. 2010

Environ Plan A

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“…This can be accomplished in a straightforward manner through the use of CIS to conduct a proximity analysis that considers the number and types of hazardous facilities within a given distance of a population or potential facility site (McMaster 1988; Glickman and Hersh 1995; Bowen et al 1995; Sol et al 1995).…”

Section: Locating Undesirable Facilitiesmentioning

confidence: 99%

An Equity Model for Locating Environmentally Hazardous Facilities

Falit-Baiamonte¹,

Osleeb²

2000

Geographical Analysis

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This paper develops a multiobjective muthematical location model to identqy possible locations for environmentally hazardous facilities. Risk and equity are recognized as the most important criteria in determining site selection. In contrast to earlier models, the equity objective explicitly considers the existing distribution of environmental burdens when siting new hazardous facilities. Proposed environmentally hazardous facilities are located so that the burdens associated with new and existing hazards are shared as equally as possible among all areas. The application of the model, in a case study of the Greenpoint/Williamburg neighborhood in Brooklyn, New York, illustrates the trade-offs associated with various risk and equity scenarios. Sensitivity analyses demonstrate how the existing distribution of environmental burdens m y act as a constraint and limit the degree of equity that may be obtained when locating new facilities.During the past decade, conflicts involving the location of noxious facilities have proliferated due to the increased recognition that they have the potential to cause injury or harm to the population in proximate areas (Erkut and Neuman 1989). Various location models have been developed to address the problem of locating such facilities. These models generally incorporate both risk and equity objectives (Ratick and White 1988;List and Mirchandani 1991;Wyman and Kuby 1996). Risk objectives seek a locational pattern that will minimize the population that is exposed to hazards in question, while equity criteria are concerned with obtaining a spatial distribution that will share these hazards equally among all populations. Multiobjective modeling techniques offer compromise solutions to these often conflicting goals.Previous research has enhanced our understanding of the complexity associated with undesirable facility location problems. However, it has focused exclusively on The authors thank the man peo le who offered he1 ful comments on this and revious drafts of the pa r, especially, Mike Kub 6avid%odge, Sara Mc&e Dick MomU, Nick drisman, Sam Ratick, a$Erika Falit-Baiamonte. ?he three anonymous referees 2 0 provided very constructive criticisms.Anthony Falit-Baiamonte is a doctoral candidate in the . ] g r e y P. Osleeb is professor of geography at Hunter College-CM.

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“…Zoning plans, which consist of textual documents, alphanumerical tables, and graphical maps have been employed in the management of appropriate land uses in both urban and rural areas for quite some time (Keeble, 1969;Chapin and Kaiser, 1979;Last, 1995;van der Vlist, 1998). Zone planning, a process to produce zoning plans, involves many fields, including design art, engineering, and the sciences (Blunden, 1971;Catanese, 1972;Sol et al, 1995;Alexander, 1998). Land use planning is required to best utilize the limited land resources based on inherent qualities.…”

Section: Introductionmentioning

confidence: 99%

Preparation of Land Use Zoning Maps of Chaumala VDC, Kailali

Chalise

Joshi

Twanabasu

et al. 2017

Int J Appl Sci Biotechnol

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To characterize soils of different land uses and to prepare land use zoning maps, a field survey was conducted in August, 2014 in Chaumala VDC, Kailali. Main objective was to prepare scientific land resource inventory at VDC level to delineate land use based on land types, associated soils and land capability classes to formulate sustainable land use planning. The maximum area is allocated in forest zone (66.62%) followed by agriculture zone (20.83%). Area allocated as public use is 9.48%, for residential is 2.91%, and for commercial is 0.15% whereas industrial area covers the minimum (0.01%). Detailed land resource inventory is utmost for better land use planning and formulating best land use policies.

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Integrated environmental index for application in land-use zoning

Cited by 15 publications

References 5 publications

Developing Summary Measures of Health-Related Multiple Physical Environmental Deprivation for Epidemiological Research

Developing Summary Measures of Health-Related Multiple Physical Environmental Deprivation for Epidemiological Research

An Equity Model for Locating Environmentally Hazardous Facilities

Preparation of Land Use Zoning Maps of Chaumala VDC, Kailali

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