Urban permeation of landscapes and sprawl per capita: New measures of urban sprawl
Urban sprawl (dispersed urban development) has increased at alarming rates in Europe and North America over the last 50 years. Quantitative data are urgently needed in monitoring systems for sustainable development. However, there is a lack of reliable measures of urban sprawl that take into account...
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Veröffentlicht in: | Ecological indicators 2010-03, Vol.10 (2), p.427-441 |
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creator | Jaeger, Jochen A.G. Bertiller, René Schwick, Christian Cavens, Duncan Kienast, Felix |
description | Urban sprawl (dispersed urban development) has increased at alarming rates in Europe and North America over the last 50 years. Quantitative data are urgently needed in monitoring systems for sustainable development. However, there is a lack of reliable measures of urban sprawl that take into account the spatial configuration of the urban areas (not just total amount). This paper introduces four new measures of urban sprawl: degree of urban dispersion (
DIS), total sprawl (
TS), degree of urban permeation of the landscape (
UP), and sprawl per capita (
SPC). They characterize urban sprawl from a geometric point of view. The measures are related through
TS
=
DIS
×
urban area,
UP
=
TS/size of the landscape studied, and
SPC
=
TS/number of inhabitants.
The paper investigates the properties of the new measures systematically using 13 suitability criteria which were derived from a clear definition of urban sprawl as discussed in a previous paper. The scale of analysis is specified by the so-called horizon of perception. Second, the new measures are applied to three examples from Switzerland. Subsequently, the measures are briefly compared to other measures of urban sprawl from the literature. We demonstrate that
UP is an intensive and area-proportionately additive measure and is suitable for comparing urban sprawl among regions of differing size, while
SPC is most appropriate when comparing sprawl in relation to human population density. The paper also provides practical advice for calculating the new measures. We conclude that the new method is more suitable than previous methods to quantify the indicator “urban sprawl” in monitoring systems as this method distinguishes the phenomenon of urban sprawl from its various causes and consequences. This article is part II of a set of two papers. |
doi_str_mv | 10.1016/j.ecolind.2009.07.010 |
format | Article |
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DIS), total sprawl (
TS), degree of urban permeation of the landscape (
UP), and sprawl per capita (
SPC). They characterize urban sprawl from a geometric point of view. The measures are related through
TS
=
DIS
×
urban area,
UP
=
TS/size of the landscape studied, and
SPC
=
TS/number of inhabitants.
The paper investigates the properties of the new measures systematically using 13 suitability criteria which were derived from a clear definition of urban sprawl as discussed in a previous paper. The scale of analysis is specified by the so-called horizon of perception. Second, the new measures are applied to three examples from Switzerland. Subsequently, the measures are briefly compared to other measures of urban sprawl from the literature. We demonstrate that
UP is an intensive and area-proportionately additive measure and is suitable for comparing urban sprawl among regions of differing size, while
SPC is most appropriate when comparing sprawl in relation to human population density. The paper also provides practical advice for calculating the new measures. We conclude that the new method is more suitable than previous methods to quantify the indicator “urban sprawl” in monitoring systems as this method distinguishes the phenomenon of urban sprawl from its various causes and consequences. This article is part II of a set of two papers.</description><identifier>ISSN: 1470-160X</identifier><identifier>EISSN: 1872-7034</identifier><identifier>DOI: 10.1016/j.ecolind.2009.07.010</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>Clumping ; Dispersion ; Indicators ; Landscape indices ; Landscape structure ; Landscapes ; Monitoring ; Penetration ; Perception ; Permeation ; Scale ; Spatial heterogeneity ; Statistical process control ; Suitability criteria ; Switzerland ; Urban areas</subject><ispartof>Ecological indicators, 2010-03, Vol.10 (2), p.427-441</ispartof><rights>2009 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c404t-1a3bfaaf41e101f354581717bed10e4caaeaff3b9e40bf84d51fffd160815b5e3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S1470160X09001307$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Jaeger, Jochen A.G.</creatorcontrib><creatorcontrib>Bertiller, René</creatorcontrib><creatorcontrib>Schwick, Christian</creatorcontrib><creatorcontrib>Cavens, Duncan</creatorcontrib><creatorcontrib>Kienast, Felix</creatorcontrib><title>Urban permeation of landscapes and sprawl per capita: New measures of urban sprawl</title><title>Ecological indicators</title><description>Urban sprawl (dispersed urban development) has increased at alarming rates in Europe and North America over the last 50 years. Quantitative data are urgently needed in monitoring systems for sustainable development. However, there is a lack of reliable measures of urban sprawl that take into account the spatial configuration of the urban areas (not just total amount). This paper introduces four new measures of urban sprawl: degree of urban dispersion (
DIS), total sprawl (
TS), degree of urban permeation of the landscape (
UP), and sprawl per capita (
SPC). They characterize urban sprawl from a geometric point of view. The measures are related through
TS
=
DIS
×
urban area,
UP
=
TS/size of the landscape studied, and
SPC
=
TS/number of inhabitants.
The paper investigates the properties of the new measures systematically using 13 suitability criteria which were derived from a clear definition of urban sprawl as discussed in a previous paper. The scale of analysis is specified by the so-called horizon of perception. Second, the new measures are applied to three examples from Switzerland. Subsequently, the measures are briefly compared to other measures of urban sprawl from the literature. We demonstrate that
UP is an intensive and area-proportionately additive measure and is suitable for comparing urban sprawl among regions of differing size, while
SPC is most appropriate when comparing sprawl in relation to human population density. The paper also provides practical advice for calculating the new measures. We conclude that the new method is more suitable than previous methods to quantify the indicator “urban sprawl” in monitoring systems as this method distinguishes the phenomenon of urban sprawl from its various causes and consequences. This article is part II of a set of two papers.</description><subject>Clumping</subject><subject>Dispersion</subject><subject>Indicators</subject><subject>Landscape indices</subject><subject>Landscape structure</subject><subject>Landscapes</subject><subject>Monitoring</subject><subject>Penetration</subject><subject>Perception</subject><subject>Permeation</subject><subject>Scale</subject><subject>Spatial heterogeneity</subject><subject>Statistical process control</subject><subject>Suitability criteria</subject><subject>Switzerland</subject><subject>Urban areas</subject><issn>1470-160X</issn><issn>1872-7034</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNqFkV1LwzAUhoMoOKc_QciVeNOa06ZN643I8AuGgjjwLqTpCWR0bU1ah__ezO7aXeUQnuclJy8hl8BiYJDfrGPUXWPbOk4YK2MmYgbsiMygEEkkWMqPw8wFiyBnn6fkzPs1C15Z5jPyvnKVammPboNqsF1LO0Mb1dZeqx49DRP1vVPbZsfQcGkHdUtfcUuD4EcXmGCMfykTeE5OjGo8XuzPOVk9PnwsnqPl29PL4n4Zac74EIFKK6OU4YBhC5NmPCtAgKiwBoZcK4XKmLQqkbPKFLzOwBhThx0KyKoM0zm5mnJ7132N6Ae5sV5jE16P3ehlmoNIeJkcBBMASPOsDOD1vyAIISCBIuEBzSZUu857h0b2zm6U-5HA5K4VuZb7VuSuFcmEDK0E727yMPzMt0UnvbbYaqytQz3IurMHEn4BJ4GZCg</recordid><startdate>20100301</startdate><enddate>20100301</enddate><creator>Jaeger, Jochen A.G.</creator><creator>Bertiller, René</creator><creator>Schwick, Christian</creator><creator>Cavens, Duncan</creator><creator>Kienast, Felix</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SU</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>KR7</scope><scope>7SN</scope><scope>7ST</scope><scope>7U6</scope><scope>SOI</scope></search><sort><creationdate>20100301</creationdate><title>Urban permeation of landscapes and sprawl per capita: New measures of urban sprawl</title><author>Jaeger, Jochen A.G. ; Bertiller, René ; Schwick, Christian ; Cavens, Duncan ; Kienast, Felix</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c404t-1a3bfaaf41e101f354581717bed10e4caaeaff3b9e40bf84d51fffd160815b5e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Clumping</topic><topic>Dispersion</topic><topic>Indicators</topic><topic>Landscape indices</topic><topic>Landscape structure</topic><topic>Landscapes</topic><topic>Monitoring</topic><topic>Penetration</topic><topic>Perception</topic><topic>Permeation</topic><topic>Scale</topic><topic>Spatial heterogeneity</topic><topic>Statistical process control</topic><topic>Suitability criteria</topic><topic>Switzerland</topic><topic>Urban areas</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jaeger, Jochen A.G.</creatorcontrib><creatorcontrib>Bertiller, René</creatorcontrib><creatorcontrib>Schwick, Christian</creatorcontrib><creatorcontrib>Cavens, Duncan</creatorcontrib><creatorcontrib>Kienast, Felix</creatorcontrib><collection>CrossRef</collection><collection>Environmental Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>Environment Abstracts</collection><jtitle>Ecological indicators</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jaeger, Jochen A.G.</au><au>Bertiller, René</au><au>Schwick, Christian</au><au>Cavens, Duncan</au><au>Kienast, Felix</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Urban permeation of landscapes and sprawl per capita: New measures of urban sprawl</atitle><jtitle>Ecological indicators</jtitle><date>2010-03-01</date><risdate>2010</risdate><volume>10</volume><issue>2</issue><spage>427</spage><epage>441</epage><pages>427-441</pages><issn>1470-160X</issn><eissn>1872-7034</eissn><abstract>Urban sprawl (dispersed urban development) has increased at alarming rates in Europe and North America over the last 50 years. Quantitative data are urgently needed in monitoring systems for sustainable development. However, there is a lack of reliable measures of urban sprawl that take into account the spatial configuration of the urban areas (not just total amount). This paper introduces four new measures of urban sprawl: degree of urban dispersion (
DIS), total sprawl (
TS), degree of urban permeation of the landscape (
UP), and sprawl per capita (
SPC). They characterize urban sprawl from a geometric point of view. The measures are related through
TS
=
DIS
×
urban area,
UP
=
TS/size of the landscape studied, and
SPC
=
TS/number of inhabitants.
The paper investigates the properties of the new measures systematically using 13 suitability criteria which were derived from a clear definition of urban sprawl as discussed in a previous paper. The scale of analysis is specified by the so-called horizon of perception. Second, the new measures are applied to three examples from Switzerland. Subsequently, the measures are briefly compared to other measures of urban sprawl from the literature. We demonstrate that
UP is an intensive and area-proportionately additive measure and is suitable for comparing urban sprawl among regions of differing size, while
SPC is most appropriate when comparing sprawl in relation to human population density. The paper also provides practical advice for calculating the new measures. We conclude that the new method is more suitable than previous methods to quantify the indicator “urban sprawl” in monitoring systems as this method distinguishes the phenomenon of urban sprawl from its various causes and consequences. This article is part II of a set of two papers.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.ecolind.2009.07.010</doi><tpages>15</tpages></addata></record> |
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source | Elsevier ScienceDirect Journals |
subjects | Clumping Dispersion Indicators Landscape indices Landscape structure Landscapes Monitoring Penetration Perception Permeation Scale Spatial heterogeneity Statistical process control Suitability criteria Switzerland Urban areas |
title | Urban permeation of landscapes and sprawl per capita: New measures of urban sprawl |
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