Assessment of the relation between land use and carbon emission in Eindhoven, the Netherlands.
The impact of the urban morphology on greenhouse gas emission is one of the key issues on global climate change. Since the urban form is directly related to the spatial distribution of urban land use, it is necessary to investigate the relation between carbon emission and different land use categori...
| Publicado en: | Journal of Environmental Management Vol. 247; pp. 413 - 425 |
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| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
Academic Press Inc.
Oct2019
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=138099300&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 138099300 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 03014797 EMJ jtl: Journal of Environmental Management issn: 03014797 maglogo: N pubinfo: dt: Oct2019 vid: 247 pid: 735 pub: Academic Press Inc. artinfo: ui: 138099300 10.1016/j.jenvman.2019.06.064 ppf: 413 ppct: 12 formats: tig: atl: Assessment of the relation between land use and carbon emission in Eindhoven, the Netherlands. aug: au: Wang, Gengzhe Han, Qi de vries, Bauke affil: Department of Built Environment, Eindhoven University of Technology, the Netherlands su: Eindhoven (Netherlands) Netherlands Land use Zoning Urban land use Dwellings Random forest algorithms Land cover sug: subj: Land use Zoning Urban land use Dwellings Eindhoven (Netherlands) Netherlands Other Building Finishing Contractors Residential building construction Architectural Services Administration of Urban Planning and Community and Rural Development Random forest algorithms Land cover keyword: Carbon emission Eindhoven Features selection Hierarchical clustering on principal components Landscape metrics Carbon emission Eindhoven Features selection Hierarchical clustering on principal components Landscape metrics ab: The impact of the urban morphology on greenhouse gas emission is one of the key issues on global climate change. Since the urban form is directly related to the spatial distribution of urban land use, it is necessary to investigate the relation between carbon emission and different land use categories. In this paper, the city of Eindhoven (230,000 inhabitants) was used as a case study. According to the main road network, the entire city is divided into 6754 irregular patterns. Agglomerative cluster analysis was conducted to classify the patterns into 14 valid land use categories based on their land use function and land cover composition namely: agriculture, transport, retail trade, green space (with 3 sub-categories), residential (with 7 sub-categories), and others. The random forest algorithm was applied to select the significant features and to measure the relation between land use and carbon emission. The results have shown the importance of various landscape metrics on the carbon emission in each land use category. The most significant landscape metric is selected to describe the impact of spatial attributes on carbon emission. The outcomes show the carbon emission distribution of each land use category in the city. The retail trade and residential land use categories contribute a large proportion of carbon emission, terrace houses produce more carbon emission than other residential building categories. The combination of mid-rise buildings and low-rise buildings has a higher probability to produce more carbon emission. The assessment results can provide important support for the low carbon city spatial planning. • Statistics of landscape metrics shows high reliability on land use classification. • Random forest and hierarchical clustering improve classification performance. • CO 2 emission in the residential area is significantly influenced by building layout. • Knowledge of the relation of land use and CO 2 emission supports fine scale plan. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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