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Disaggregation of nation-wide dynamic population exposure estimates in The Netherlands: Applications of activity-based transport models

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Title: Disaggregation of nation-wide dynamic population exposure estimates in The Netherlands: Applications of activity-based transport models
Authors: Beckx, Carolien1 carolien.beckx@vito.be, Int Panis, Luc1,2, Uljee, Inge1, Arentze, Theo3, Janssens, Davy2, Wets, Geert2
Source: Atmospheric Environment. Nov2009, Vol. 43 Issue 34, p5454-5462. 9p.
Subjects: Environmental exposure, Population density, Social status, Population transfers, Gender, Activity coefficients, Case studies, Location analysis
Geographic Terms: Netherlands
Abstract: Abstract: Traditional exposure studies that link concentrations with population data do not always take into account the temporal and spatial variations in both concentrations and population density. In this paper we present an integrated model chain for the determination of nation-wide exposure estimates that incorporates temporally and spatially resolved information about people''s location and activities (obtained from an activity-based transport model) and about ambient pollutant concentrations (obtained from a dispersion model). To the best of our knowledge, it is the first time that such an integrated exercise was successfully carried out in a fully operational modus for all models under consideration. The evaluation of population level exposure in The Netherlands to NO2 at different time-periods, locations, for different subpopulations (gender, socio-economic status) and during different activities (residential, work, transport, shopping) is chosen as a case-study to point out the new features of this methodology. Results demonstrate that, by neglecting people''s travel behaviour, total average exposure to NO2 will be underestimated by 4% and hourly exposure results can be underestimated by more than 30%. A more detailed exposure analysis reveals the intra-day variations in exposure estimates and the presence of large exposure differences between different activities (traffic > work > shopping > home) and between subpopulations (men > women, low socio-economic class > high socio-economic class). This kind of exposure analysis, disaggregated by activities or by subpopulations, per time of day, provides useful insight and information for scientific and policy purposes. It demonstrates that policy measures, aimed at reducing the overall (average) exposure concentration of the population may impact in a different way depending on the time of day or the subgroup considered. From a scientific point of view, this new approach can be used to reduce exposure misclassification. [Copyright &y& Elsevier]
Copyright of Atmospheric Environment is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 44630649
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Disaggregation of nation-wide dynamic population exposure estimates in The Netherlands: Applications of activity-based transport models
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  Data: <searchLink fieldCode="AR" term="%22Beckx%2C+Carolien%22">Beckx, Carolien</searchLink><relatesTo>1</relatesTo><i> carolien.beckx@vito.be</i><br /><searchLink fieldCode="AR" term="%22Int+Panis%2C+Luc%22">Int Panis, Luc</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Uljee%2C+Inge%22">Uljee, Inge</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Arentze%2C+Theo%22">Arentze, Theo</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Janssens%2C+Davy%22">Janssens, Davy</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Wets%2C+Geert%22">Wets, Geert</searchLink><relatesTo>2</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Atmospheric+Environment%22">Atmospheric Environment</searchLink>. Nov2009, Vol. 43 Issue 34, p5454-5462. 9p.
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  Data: <searchLink fieldCode="DE" term="%22Netherlands%22">Netherlands</searchLink>
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  Label: Abstract
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  Data: Abstract: Traditional exposure studies that link concentrations with population data do not always take into account the temporal and spatial variations in both concentrations and population density. In this paper we present an integrated model chain for the determination of nation-wide exposure estimates that incorporates temporally and spatially resolved information about people''s location and activities (obtained from an activity-based transport model) and about ambient pollutant concentrations (obtained from a dispersion model). To the best of our knowledge, it is the first time that such an integrated exercise was successfully carried out in a fully operational modus for all models under consideration. The evaluation of population level exposure in The Netherlands to NO2 at different time-periods, locations, for different subpopulations (gender, socio-economic status) and during different activities (residential, work, transport, shopping) is chosen as a case-study to point out the new features of this methodology. Results demonstrate that, by neglecting people''s travel behaviour, total average exposure to NO2 will be underestimated by 4% and hourly exposure results can be underestimated by more than 30%. A more detailed exposure analysis reveals the intra-day variations in exposure estimates and the presence of large exposure differences between different activities (traffic > work > shopping > home) and between subpopulations (men > women, low socio-economic class > high socio-economic class). This kind of exposure analysis, disaggregated by activities or by subpopulations, per time of day, provides useful insight and information for scientific and policy purposes. It demonstrates that policy measures, aimed at reducing the overall (average) exposure concentration of the population may impact in a different way depending on the time of day or the subgroup considered. From a scientific point of view, this new approach can be used to reduce exposure misclassification. [Copyright &y& Elsevier]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Atmospheric Environment is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.atmosenv.2009.07.035
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 9
        StartPage: 5454
    Subjects:
      – SubjectFull: Environmental exposure
        Type: general
      – SubjectFull: Population density
        Type: general
      – SubjectFull: Social status
        Type: general
      – SubjectFull: Population transfers
        Type: general
      – SubjectFull: Gender
        Type: general
      – SubjectFull: Activity coefficients
        Type: general
      – SubjectFull: Case studies
        Type: general
      – SubjectFull: Location analysis
        Type: general
      – SubjectFull: Netherlands
        Type: general
    Titles:
      – TitleFull: Disaggregation of nation-wide dynamic population exposure estimates in The Netherlands: Applications of activity-based transport models
        Type: main
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            NameFull: Beckx, Carolien
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            NameFull: Int Panis, Luc
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            NameFull: Uljee, Inge
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            NameFull: Arentze, Theo
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            NameFull: Janssens, Davy
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            – D: 01
              M: 11
              Text: Nov2009
              Type: published
              Y: 2009
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              Value: 43
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              Value: 34
          Titles:
            – TitleFull: Atmospheric Environment
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