Modeling driving license ownership in Switzerland

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Bundesamt für Raumentwicklung ARE Office fédéral du développement territorial ARE Ufficio federale dello sviluppo territoriale ARE Uffizi federal da svilup dal territori ARE Modeling driving license ownership in Switzerland Swiss Mobility Conference, 30.06.2017

Disclaimer The opinions expressed herein are those of the authors and do not necessarily reflect the views of the Federal Office for Spatial Development. 2

Content Mobility and Transport Microcensus Determinants of choice and previous works Our model Preliminary results Conclusion and next steps 3

Mobility and Transport Microcensus 4

Mobility and Transport Microcensus (MTMC) Conducted by the Federal Statistical Office and by ARE, together with some cantons 57 090 successfull interviews in 2015 Content: - socioeconomic characteristics, - mobility tools (number of vehicles,...), - trips and activities for a reference day, - occasional trips, - political opinions about transportation. Check www.mzmv.bfs.admin.ch / www.are.admin.ch/mzmv: Main report (DE, FR) Short version of the report (DE, FR, IT, EN) XLS-Tables with confidence interval Data are available for research! 5

Driving license by young adults: no decrease in 2015 100% Share of persons with driver s license 80% 60% 40% Total 18-24 years 25-64 years 65 years and more 20% 0% 1994 2000 2005 2010 2015 6

Determinants of choice and previous works 7

Reasons of the decrease [1,2] Increased accessibility of the household by public transport and increased urbanization Exam: more difficult and expensive Young adults are studying longer (lower income) On-demand mobility service: might postpone the acquisition Reasons for stability/increase? First observed in the MTMC 2015, published in 2017. 8

First model in 2006 [3] 9

2nd model in 2016 [4] Improved version of the model of 2006 Applied to data 2000 and 2010 10

Our model 11

Model specification Decision maker: respondent of the microcensus 2010/2015 Choice set: owning a driving license or not Parameters of the choice : similar to 2016 model Age Sex Income Employment status Spatial characteristics (urban/rural typology, region, nb of inhabitants) New: Uber availability New: Accessibility by public transport 12

Preliminary results 13

Results 2015: similar to 2010 (1/2) More licenses with age (linear) Less new licenses with age (quadratic) More licenses when being employed More licenses when being a man Even more licences when being an old man Compared to living in an isolated city, same number of licenses: in core centers of agglomerations in alpine touristic municipalities In rural municipalities 14

Results 2015: similar to 2010 (2/2) Compared to living in Tessin: Same number of licenses in Zurich region Lake Geneva region Eastern Switzerland region Central Switzerland region Less licenses in Espace Mittelland region Northern Switzerland region 15

Regions of Switzerland 16

Results 2015: different to 2010 Same general effects, lower impact: More driving licenses with higher income Positive impact on the decision to own a license in Inner suburbs Periurban rural areas Different structure of the effect: Less driving licenses with higher population in the commune (but marginal effect decreases) Less driving licenses with higher PT accessibility Less driving licenses in areas where Uber is available 17

Results 2015: effect of revenue, 2010 vs 2015 18

Uber in Switzerland Started its service in Zurich in Sommer 2013, in Geneva in September 2014, in Basel in December 2014, in Lausanne in January 2015 Binary variable in model based on agglomerations where Uber is available: Zurich area: Zurich, Winthertour, Lachen, Baden-Brugg, Wohlen (AG), Rapperswil-Jona - Rüti Geneva area: Geneva (Lausanne area: Lausanne, Vevey-Montreux) Basel area: Basel 19

20

Conclusion Between 2010 and 2015, factors influencing the ownership of a driving license Do not differ between regions No age difference in our model New factors for 2015: Accessibility by public transport less licences Uber-effect? Or unobserved underlying spatial effect? 21

Next steps Look for underlying reasons in the «Uber-effect» Add new variables in the model: Cost and difficulty of the exam Being a student (in particular an old one) Piecewise linear specification for age? Include data from 1994, 2000, 2005 22

References (1/2) 1. A. Delbosc and G. Currie, Causes of Youth Licensing Decline: A Synthesis of Evidence, Transp. Rev., vol. 33, no. 3, pp. 271 290, May 2013. 2. Å. Aretun and S. Nordbakke, Developments in driver s licence holding among young people: potential explanations, implications and trends, Statens väg- och transportforskningsinstitut, Linköping, 824A, 2014. 3. K. W. Axhausen, S. Beige, and M. Bernard, Prognose über Besitz und Nutzenintensität von Mobilitätswerkzeugen im Personenverkehr, Grundlagenbericht für die Perspektiven des Schweizerischen Personenverkehrs bis 2030, Bundesamt für Raumentwicklung, 2006. 23

References (2/2) 4. M. Kowald, B. Kieser, N. Mathys, and A. Justen, Determinants of mobility resource ownership in Switzerland: changes between 2000 and 2010, Transportation, Mar. 2016. 24