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http://hdl.handle.net/1942/28086
Title: | Air Quality Based Informational Intervention Framework To Promote Healthy And Active School Travel | Authors: | AHMED, Shiraz ADNAN, Muhammad JANSSENS, Davy YASAR, Ansar WETS, Geert |
Issue Date: | 2018 | Publisher: | Elsevier | Source: | The 9th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN-2018) / The 8th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2018) / Affiliated Workshops, Elsevier,p. 382-389 | Series/Report: | Procedia Computer Science | Series/Report no.: | 141 | Abstract: | This paper presents a comprehensive framework that guides in setting up an effective intervention design to promote active school travel keeping in view the air quality. As lack of physical activities are observed in school going children all over the world so various programs have been launched to encourage active commuting among school going kids using different intervention strategies. So far no effort was found in which the pollutant exposure aspect is taken into account. The primary objective of this study is to develop a computational model that helps in detecting walking/cycling school routes at an individual level that enhance physical activity alongside lesser exposure to air pollutants. The computations involved in this process is dependent on a variety of data sets such as individual’s school travel dairy, street level pollutant concentration data, public and active transport network data. The output generated gives exposure and physical activity involved in the current and suggested school routes. It is taken into consideration that the changes identified are healthy (having low exposure to pollutants) and encourage active school travel. These changes can be considered as alternatives/suggestions to develop the customized information package that can be used as a behavioural intervention tool. | Keywords: | Active school travel; air pollutant exposure; informational intervention framework; computational algorithm | Document URI: | http://hdl.handle.net/1942/28086 | DOI: | 10.1016/j.procs.2018.10.186 | ISI #: | 000471261700048 | Rights: | 2018 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/) Selection and peer-review under responsibility of the scientific committee of ICTH 2018. | Category: | C1 | Type: | Proceedings Paper | Validations: | ecoom 2020 |
Appears in Collections: | Research publications |
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Ahmed et al 2018.pdf | Published version | 967.34 kB | Adobe PDF | View/Open |
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