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Evaluating Cycling Routes in a Bicycle Simulator

Although cycling becomes more and more popular, many people are still deterred from cycling by various aspects including a lack of perceived safety [1 ]. To o:ffer preferable infrastructure and, hence, to better promote cycling. it is therefore crucial to examine how cyclists evahmte their routes, and to figure out what makes an infrastructure seem unsafe or unattractive.
Some studies have already identified i.mportant route criteria 1ike safety or comfort, and have connected them to certain route attributes. High traffic volumes and cycling on no or poor cycling facilities are experienced as stressful by cyclists [2], [3], and they try to avoid these routes in order to reduce possible interactions with motor vehicles [4]. In contrast, a separated cycling facility, low speed, and low traflic volumes are evaluated as safe and stress-ftee [2], [5]. Furthennore, cyclists prefer oomfortable routes, that is, routes with low gradient and few stops and traffic lights as weil as attractive routes with a green and pleasant su:rrounding [6], [7]. Most ofthe studies investigated those criteria deductively, that is, the researchers analyzed the results theorydriven and in terms of predetermined criteria. In a previous study, we examined them in an inductive and qualitative approach that allowed us to collect criteria with the participants' individual wording and content [8]. We found that cyclists evaluate their route attributes in terms of Mental Comfort, possible interactions with other road users, Physical Comfort, the Base of Use of the infrastructure, and the pleasanlness of the surrounding. Safety and stress were found to be sub-aspects of Mental Comfort, whereas Interaction was associated with attention and concentration due to other road users. The term comfort, however, was mentioned
by participants only in terms of physical comfort. The aim of the present study is to validate these evaluation criteria found in our previous study, and to connect
them to certain route attributes using the experimental approach of a bicycle simulator in combination with qualitative surveys.

Identiferoai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:82519
Date02 January 2023
CreatorsBerghoefer, Frauke L., Vollrath, Mark
PublisherTechnische Universität Dresden
Source SetsHochschulschriftenserver (HSSS) der SLUB Dresden
LanguageEnglish
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/publishedVersion, doc-type:conferenceObject, info:eu-repo/semantics/conferenceObject, doc-type:Text
Rightsinfo:eu-repo/semantics/openAccess
Relationurn:nbn:de:bsz:14-qucosa2-813602, qucosa:81360

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