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http://hdl.handle.net/1942/24323
Title: | Extending Participatory Sensing to Personal Exposure Using Microscopic Land Use Regression Models | Authors: | Dekoninck, Luc Botteldooren, Dick INT PANIS, Luc |
Issue Date: | 2017 | Publisher: | MDPI AG | Source: | INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 14(6), p. 1-17 (Art N° 586) | Abstract: | Personal exposure is sensitive to the personal features and behavior of the individual, and including interpersonal variability will improve the health and quality of life evaluations. Participatory sensing assesses the spatial and temporal variability of environmental indicators and is used to quantify this interpersonal variability. Transferring the participatory sensing information to a specific study population is a basic requirement for epidemiological studies in the near future. We propose a methodology to reduce the void between participatory sensing and health research. Instantaneous microscopic land-use regression modeling (mu LUR) is an innovative approach. Data science techniques extract the activity-specific and route-sensitive spatiotemporal variability from the data. A data workflow to prepare and apply mu LUR models to any mobile population is presented. The mu LUR technique and data workflow are illustrated with models for exposure to traffic related Black Carbon. The example mu LURs are available for three micro-environments; bicycle, in-vehicle, and indoor. Instantaneous noise assessments supply instantaneous traffic information to the mu LURs. The activity specific models are combined into an instantaneous personal exposure model for Black Carbon. An independent external validation reached a correlation of 0.65. The mu LURs can be applied to simulated behavioral patterns of individuals in epidemiological cohorts for advanced health and policy research. | Notes: | [Dekoninck, Luc; Botteldooren, Dick] Univ Ghent, Informat Technol, Res Grp WAVES, B-9052 Ghent, Belgium. [Panis, Luc Int] VITO, Boeretang 200, B-2400 Mol, Belgium. [Panis, Luc Int] Hasselt Univ, Traff Res Inst, B-3500 Diepenbeek, Belgium. | Keywords: | personal exposure; health; policy; black carbon; noise; spatiotemporal models; air pollution; activity;personal exposure; health; policy; black carbon; noise; spatiotemporal models; air pollution; activity | Document URI: | http://hdl.handle.net/1942/24323 | ISSN: | 1661-7827 | e-ISSN: | 1660-4601 | DOI: | 10.3390/ijerph14060586 | ISI #: | 000404107600034 | Rights: | This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0). | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2018 |
Appears in Collections: | Research publications |
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dekoninck 1.pdf | Published version | 1.25 MB | Adobe PDF | View/Open |
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