Perceived versus Actual Waiting Time: A Case Study Among Cyclists in Enschede, the Netherlands

Tiago  Fioreze; Benjamin Groenewolt; Johan Koolwaaij; Karst Geurs

doi:10.32866/9636

Perceived versus Actual Waiting Time: A Case Study Among Cyclists in Enschede, the Netherlands

Tiago Fioreze^*, Benjamin Groenewolt, Johan Koolwaaij, Karst Geurs

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

3 Citations (Scopus)

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Abstract

This article compares the perceived waiting time of cyclists at signalized intersections with their actual waiting time. We also examine the relationship between demographics (age and gender) and perceived waiting time. Data was collected from May 13 to May 19, 2019 (N = 238). Our analysis shows that cyclists considerably overestimate waiting time by a factor of five. Equally relevant, we observe that neither age nor gender influences perceived waiting time since no significant differences were found.

Original language	English
Number of pages	7
Journal	Transport Findings
DOIs	https://doi.org/10.32866/9636
Publication status	Published - 9 Jul 2019

Keywords

Smartphone application
Signalised intersection
Behavioral research
Gender
Age
Actual waiting time
Perceived waiting time

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.32866/9636Licence: CC BY-NC

9636-perceived-versus-actual-waiting-time-a-case-study-among-cyclists-in-enschede-the-netherlandsFinal published version, 241 KBLicence: CC BY-NC

https://transportfindings.org/article/9636-perceived-waiting-time-versus-actual-waiting-time-a-case-study-among-cyclists-in-enschede-the-netherlandsLicence: CC BY-NC

Cite this

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title = "Perceived versus Actual Waiting Time: A Case Study Among Cyclists in Enschede, the Netherlands",

abstract = "This article compares the perceived waiting time of cyclists at signalized intersections with their actual waiting time. We also examine the relationship between demographics (age and gender) and perceived waiting time. Data was collected from May 13 to May 19, 2019 (N = 238). Our analysis shows that cyclists considerably overestimate waiting time by a factor of five. Equally relevant, we observe that neither age nor gender influences perceived waiting time since no significant differences were found.",

keywords = "Smartphone application, Signalised intersection, Behavioral research, Gender, Age, Actual waiting time, Perceived waiting time",

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AU - Geurs, Karst

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N2 - This article compares the perceived waiting time of cyclists at signalized intersections with their actual waiting time. We also examine the relationship between demographics (age and gender) and perceived waiting time. Data was collected from May 13 to May 19, 2019 (N = 238). Our analysis shows that cyclists considerably overestimate waiting time by a factor of five. Equally relevant, we observe that neither age nor gender influences perceived waiting time since no significant differences were found.

AB - This article compares the perceived waiting time of cyclists at signalized intersections with their actual waiting time. We also examine the relationship between demographics (age and gender) and perceived waiting time. Data was collected from May 13 to May 19, 2019 (N = 238). Our analysis shows that cyclists considerably overestimate waiting time by a factor of five. Equally relevant, we observe that neither age nor gender influences perceived waiting time since no significant differences were found.

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KW - Signalised intersection

KW - Behavioral research

KW - Gender

KW - Age

KW - Actual waiting time

KW - Perceived waiting time

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Perceived versus Actual Waiting Time: A Case Study Among Cyclists in Enschede, the Netherlands

Abstract

Keywords

UN SDGs

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