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How many wheels will it be today? An exploratory research into variables useful for modeling bicycle mode choice with a discrete choice model

Vliet, Jord van der (2014) How many wheels will it be today? An exploratory research into variables useful for modeling bicycle mode choice with a discrete choice model.

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Abstract:To contribute to the modeling of bicycle use in The Netherlands, this research investigates the influences on bicycle mode choice for short-distance commuting. A conceptual model of these influences is defined using available literature. From this, variables are selected for further analysis using a stated preference sample. The sample is collected using a stated choice experiment, in which respondents are asked to choose from presented alternatives in several hypothetical situations. The following variables are included in this research: Attributes Covariates Additional variables Travel time Age Job accessibility Delay Gender Bicycle infrastructure quality Cost Income Route impression Ethnicity Habit Attitude Workplace policy Workplace facilities Tabel 0-1: Variables analyzed The variables are divided into three types: attributes, covariates and additional variables. The attributes are properties of the mode and trip. Covariates are properties of the respondent and his/her workplace. The additional variables are properties of the built environment in the respondent’s area of residence. The conclusions drawn from the analysis are: - For bike, the covariates attitude towards cycling, income and especially habit play a very important role in the modeling of bicycle mode choice for short-distance commuting - Travel time is the most important variable for all modes, together with cost for car and public transport - For public transport, in contrast to other modes, job accessibility is important. This reflects the higher service quality of public transport in dense urban areas in The Netherlands - Route-related factors for the bicycle appear to play a very minor role - Delay is of very minor importance for all modes - Age and gender are insignificant - Workplace factors and ethnicity could not be included in the analysis due to sample limitations The weight of these conclusions is significantly limited by the sample size of only 200 respondents. For further research, a larger sample is needed to improve the reliability of the conclusions. In addition, a revealed preference sample will allow calibration of the model used in the analysis, as well as more reliable results.
Item Type:Essay (Master)
Faculty:ET: Engineering Technology
Subject:55 traffic technology, transport technology
Programme:Civil Engineering and Management MSc (60026)
Link to this item:http://purl.utwente.nl/essays/65179
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