Latest revision as of 04:41, 23 March 2021

Abstract

Providing a sufficiently appropriate route environment is crucial to ensuring fair and safe biking, thus encouraging cycling as a sustainable mode of transport. At the same time, better understanding of cyclists&rsquo

preferences regarding the features of their routes and their infrastructure requirements is fundamental to evaluating improvement of the current infrastructure or the development of new infrastructure. The present study has two objectives. The first is to investigate cyclists&rsquo

route preferences by means of a choice experiment based on a stated preference survey. Subsequently, the second objective is to compare cyclist preferences in two countries with different cycling characteristics (both in infrastructure as well as cyclists&rsquo

behavior). For this purpose, a graphical online stated preferences survey was conducted in Greece and Germany. Within the framework of statistical analyses, multinomial mixed logit discrete choice models were developed that allow us to quantify the trade-offs of interest, while distinguishing between the preferences of different user groups. In addition, user requirements in Greece, as a country with a low cycling share and very little dedicated bike infrastructure, were compared to the requirements in Germany, where cycling is popular and the infrastructure is well developed. The results over the whole sample indicate that subgroups value infrastructure differently according to their specific needs. When looking at country specifics, users from Greece are significantly more willing to accept longer travel times in return for higher-quality facilities. The utility of low speed limits in mixed traffic is also different. In Germany, low speed limits offset the disturbance caused by motorized traffic, but in Greece they do not. Consequently, the results help to asses which types of infrastructure are most sustainable from a user perspective and help to set priorities when the aim is to adapt the road infrastructure efficiently in a stable strategy.

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The different versions of the original document can be found in:

• http://dx.doi.org/10.3390/su12083375 under the license https://creativecommons.org/licenses/by

• https://elib.dlr.de/135599 under the license http://creativecommons.org/licenses/by/3.0/

• https://www.mdpi.com/2071-1050/12/8/3375/pdf

• https://www.mdpi.com/2071-1050/12/8/3375,

https://doaj.org/toc/2071-1050 under the license cc-by

• https://www.mdpi.com/2071-1050/12/8/3375,

https://www.mdpi.com/2071-1050/12/8/3375/pdf,

https://ideas.repec.org/a/gam/jsusta/v12y2020i8p3375-d348584.html,

https://econpapers.repec.org/RePEc:gam:jsusta:v:12:y:2020:i:8:p:3375-:d:348584,

https://academic.microsoft.com/#/detail/3019608303

• https://www.mdpi.com/2071-1050/12/8/3375/pdf,

http://dx.doi.org/10.3390/su12083375

under the license https://creativecommons.org/licenses/by/4.0/