| Literature DB >> 29257121 |
Rodrigo Scotini1, Ian Skinner2, Francesca Racioppi3, Virginia Fusé4, Jonas de Oliveira Bertucci5, Rie Tsutsumi6.
Abstract
This article is a summary of the main findings of the study "Riding towards the green economy: cycling and green jobs", which was developed in the context of the Transport, Health and Environment pan-European Programme (THE PEP). It builds on previous work under THE PEP, which demonstrated the job creation potential of cycling and of green and healthy transport more generally. The report summarized in this article collected data on jobs associated with cycling directly from city authorities and analysed these to re-assess previous estimates of the job creation potential of cycling. It concluded that the number of cycling-related jobs in the pan-European Region could increase by 435,000 in selected major cities if they increased their cycling share to that of the Danish capital Copenhagen. The implications and potential role of municipal and sub-national authorities in facilitating cycling while supporting economic development are then discussed. These findings indicate that investment in policies that promote cycling could deliver not only important benefits for health, the environment and the quality of urban life, but could also contribute to a sizable creation of job opportunities. Authorities need to be proactive in promoting cycling in order to deliver these benefits.Entities:
Keywords: THE PEP; active mobility; cycling; green jobs; job creation; sustainable mobility
Mesh:
Year: 2017 PMID: 29257121 PMCID: PMC5751020 DOI: 10.3390/ijerph14121603
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Summary of the relationship between physical activity and health.
| Health Topic | Evidence of the Effect of Physical Activity | Strength of Evidence |
|---|---|---|
| Overall death rate | Approximately 30% risk reduction for the most active compared with the least active | Strong |
| Cardiovascular health | 20% to 35% lower risk of cardiovascular disease, coronary heart disease and stroke | Strong |
| Metabolic health | 30% to 40% lower risk of type 2 diabetes in at least moderately active people compared with those who are sedentary | Strong |
| Musculo-skeletal health | 36% to 68% risk reduction of hip fracture at the highest level of physical activity | Moderate |
| Falls | Older adults who participate in regular physical activity have an approximately 30% lower risk of falls | Strong |
| Cancer | Approximately 30% lower risk of colon cancer and 20% lower risk of breast cancer for adults participating in daily physical activity | Strong |
| Mental health | Approximately 20% to 30% lower risk for depression and dementia for adults participating in daily physical activity. | Strong |
Source: Department of Health, 2011 Start Active, Stay Active: A report on physical activity from the four home countries’. London: DH [10].
Figure 1Cities and regions that supplied data for the report. Source: WHO Regional Office for Europe, United Nations Economic Commission for Europe, Riding towards the green economy: cycling and green jobs; 2016. Copenhagen: WHO EURO [11].
Selected major cities, including population, cycling modal shares, estimated current cycling-related jobs and potential [additional] cycling-related jobs [11].
| Country | City | Population (Millions) | Cycling Modal Share | Estimated Existing Cycling-Related Jobs | Estimated Potential [Additional] Cycling-Related Jobs |
|---|---|---|---|---|---|
| Albania | Tirana | 0.80 | 3% a | 150 | 1150 |
| Andorra | Andorra-La-Vella | 0.022 | 3% a | 17 | 133 |
| Armenia | Yerevan | 1.12 | 3% a | 875 | 6709 |
| Austria | Vienna | 1.77 | 7% | 1058 | 2872 |
| Azerbaijan | Baku | 2.12 | 3% a | 1655 | 12,691 |
| Belarus | Minsk | 1.89 | 0% | 98 | 12,645 |
| Belgium | Brussels | 1.08 | 4% | 230 | 1479 |
| Bosnia and Herzegovina | Sarajevo | 0.31 | 3% a | 238 | 1825 |
| Bulgaria | Sofia | 1.17 | 1% | 304 | 7605 |
| Canada | Ottawa | 1.24 | 2% | 644 | 7732 |
| Croatia | Zagreb | 0.79 | 5% | 1031 | 4329 |
| Cyprus | Nicosia | 0.055 | 3% a | 43 | 329 |
| Czechia | Prague | 1.24 | 1% | 323 | 8071 |
| Denmark | Copenhagen | 0.55 | 26% | 3712 | 0 |
| Estonia | Tallinn | 0.40 | 4% | 417 | 2294 |
| Finland | Helsinki | 0.60 | 7% | 1084 | 2941 |
| France | Paris | 2.23 | 3% | 1743 | 13,360 |
| Georgia | Tbilisi | 1.17 | 3% a | 911 | 6982 |
| Germany | Berlin | 3.50 | 13% | 11,836 | 11,836 |
| Greece | Athens | 2.48 | 2% | 905 | 10,860 |
| Hungary | Budapest | 1.74 | 2% | 1049 | 10,809 |
| Iceland | Reykjavik | 0.12 | 3% a | 92 | 706 |
| Ireland | Dublin | 0.53 | 3% | 412 | 3155 |
| Israel | Tel Aviv | 0.40 | 9% | 947 | 1788 |
| Italy | Rome | 2.76 | 0% | 287 | 18,380 |
| Kazakhstan | Astana | 0.66 | 1% | 172 | 4301 |
| Kyrgyzstan | Bishkek | 0.89 | 3% a | 694 | 5320 |
| Latvia | Riga | 0.65 | 3% a | 507 | 3890 |
| Liechtenstein | Vaduz | 0.0052 | 3% a | 4 | 31 |
| Lithuania | Vilnius | 0.55 | 1% | 144 | 3588 |
| Luxembourg | Luxembourg-Ville | 0.01 | 3% a | 78 | 597 |
| Malta | Valletta | 0.0062 | 3% a | 5 | 37 |
| Monaco | Monaco City | 0.036 | 3% a | 28 | 217 |
| Montenegro | Podgorica | 0.18 | 3% a | 141 | 1081 |
| Netherlands | Amsterdam | 1.07 | 33% | 9170 | 0 b |
| Norway | Oslo | 0.60 | 5% | 779 | 3272 |
| Poland | Warsaw | 1.71 | 5% | 2134 | 9426 |
| Portugal | Lisbon | 0.47 | 1% | 123 | 3086 |
| Republic of Moldova | Chisinau | 0.79 | 3% a | 616 | 4721 |
| Romania | Bucharest | 1.94 | 1% | 504 | 12,593 |
| Russian Federation | Moscow | 11.54 | 3% a | 9002 | 69,015 |
| San Marino | San Marino | 0.0045 | 3% a | 3 | 27 |
| Serbia | Belgrade | 1.64 | 1% | 426 | 10,657 |
| Slovakia | Bratislava | 0.41 | 3% a | 321 | 2463 |
| Slovenia | Ljubljana | 0.28 | 10% | 110 | 176 |
| Spain | Madrid | 3.27 | 1% | 849 | 21,223 |
| Sweden | Stockholm | 0.86 | 1% | 225 | 5618 |
| Switzerland | Berne | 0.12 | 11% | 356 | 485 |
| Tajikistan | Dushanbe | 0.70 | 1% a | 183 | 4576 |
| The former Yugoslav Republic of Macedonia | Skopje | 0.32 | 3% a | 247 | 1895 |
| Turkey | Ankara | 4.89 | 3% a | 3815 | 29,248 |
| Turkmenistan | Ashgabat | 0.64 | 3% a | 497 | 3809 |
| Ukraine | Kyiv | 2.77 | 1% a | 721 | 18,023 |
| United Kingdom | London | 7.83 | 3% | 6104 | 46,799 |
| United States of America | Washington, DC | 0.62 | 3% | 482 | 3696 |
| Uzbekistan | Tashkent | 2.30 | 1% a | 597 | 14,927 |
| Total | 435,480 |
aThe actual modal share for cycling for the marked cities could not be identified. In those cases, low cycling modal shares of 3% or 1% were presumed; b In the case of Amsterdam no supplementary cycling-related jobs are projected, since the level of cycling is higher than Copenhagen’s Source: WHO Regional Office for Europe; United Nations Economic Commission for Europe. “Riding towards the green economy: cycling and green jobs”; WHO Regional Office for Europe: Copenhagen, Denmark, 2016. Available online: http://www.euro.who.int/__data/assets/pdf_file/0017/311471/Cycling-and-green-jobs.pdf (accessed on 3 November 2017) [11].
Figure 2Cycling jobs identified by category in 34 cities. Source: WHO Regional Office for Europe; United Nations Economic Commission for Europe. Riding towards the green economy: cycling and green jobs; WHO Regional Office for Europe: Copenhagen, Denmark, 2016. Available online: http://www.euro.who.int/__data/assets/pdf_file/0017/311471/Cycling-and-green-jobs.pdf (accessed on 3 November 2017) [11]. Notes: Data on jobs in Copenhagen, Vienna, and Münster are not included in this figure because the study could not access detailed information from these cities. Data was obtained primarily from the submitted estimates for this report; except in the case of Brussels, in which data was taken from TML and Pro Vélo [17].
Figure 3Locations with some of the highest number of direct cycling-related jobs per 1000 residents [11]. Source: WHO Regional Office for Europe, United Nations Economic Commission for Europe, “Riding towards the green economy: cycling and green jobs”, 2017. Copenhagen: WHO EURO [11].