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Health Related Benefits of Non-motorised Transport: An Application of the Health Economic Assessment Tool of the World Health Organisation to the Case of Trikala, Greece

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Data Analytics: Paving the Way to Sustainable Urban Mobility (CSUM 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 879))

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Abstract

It has been several years now that research coming from various disciplines such as sports science, medicine, urban planning and transport planning has provided strong evidence that sustainable urban mobility (SUM) is not only beneficial to the function of the city but to the human body too. As SUM includes not merely public transport but physical activity (walking, cycling, etc.) and as these can be further combined with exercise, an active urban environment can be created that can contribute to human health. The World Health Organization (WHO) has developed the Health Economic Assessment Tool (HEAT), a software which includes an algorithm designed to estimate the long–term health and economic benefit of a given population’s cycling or walking. This paper shows how the HEAT has been applied to the case of the city of Trikala, Greece. It is based on bicycle traffic measurements recorded on September 2016, in Trikala, in the context of the SPACE Erasmus+ EU Programme. The result shows how and how much the increase of bicycle traffic (distance, hours, frequency of use) in the future can increase life expectancy and reduce health care costs, thus being a beneficial investment. The paper, also includes several ‘what if scenarios’ related to walking, so as to provide a broader picture of a possible urban active environment in the city.

The preparation of this paper was co-financed by the Erasmus+ Programme of the European Union.

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Notes

  1. 1.

    The ‘burden of disease’ is the impact of a health problem on a given area, and can be measured using a variety of indicators such as mortality, morbidity or financial cost.

  2. 2.

    See http://www.heatwalkingcycling.org.

  3. 3.

    Population Attributable Fractions (PAFs) can measure the fraction of each disease that is attributable to physical activity.

  4. 4.

    Int$: An international dollar has the same purchasing power as the U.S. dollar has in the United States. Costs in local currency units are converted to international dollars using purchasing power parity (PPP) exchange rates. …. An international dollar is, therefore, a hypothetical currency http://www.who.int/choice/costs/ppp/en/ [12].

  5. 5.

    For more information on this project and on Trikala, see www.activeenvironments.eu [13].

  6. 6.

    A later (2012) survey by “Public Issue” showed increased cycling usage up to 15% [11].

  7. 7.

    For the full set of specifications used in this case study see: http://activeenvironments.eu/media/SPAcE-Output-3-Measuring-the-Value-of-an-Urban-Active-Environment-using-HEAT.pdf [13].

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Correspondence to Pantoleon Skayannis .

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Skayannis, P., Goudas, M., Crone, D., Cavill, N., Kahlmeier, S., Mitsiadi, V. (2019). Health Related Benefits of Non-motorised Transport: An Application of the Health Economic Assessment Tool of the World Health Organisation to the Case of Trikala, Greece. In: Nathanail, E., Karakikes, I. (eds) Data Analytics: Paving the Way to Sustainable Urban Mobility. CSUM 2018. Advances in Intelligent Systems and Computing, vol 879. Springer, Cham. https://doi.org/10.1007/978-3-030-02305-8_95

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