BeschreibungMobility surveys beyond stated preference: introducing MyTrips, an SP-off-RP survey tool and the estimation of Latent Class Mode Choice Models When introducing new mobility offers or measures to influence traffic, stated preference (SP) surveys are often used to assess their impact. In SP surveys, respondents do not answer questions about their actual behaviour, but about hypothetical settings. Therefore, answers are often biased. To minimise this hypothetical bias, so-called stated preference-off-revealed preference (SP-off-RP) surveys were developed. They base SP questions on respondents revealed behaviour and place unknown scenarios in a familiar context. Until now, this method was applied mostly to scenarios investigating the willingness to pay. In MyTrips, SP-off-RP is applied to more complex mode or route choice problems, which require the calculation of routes. The MyTrips survey tool was developed to collect SP-off-RP data based on respondents actual mobility behaviour. SP questions are based on alternatives to typical routes of respondents, which are calculated on the fly with an intermodal router. MyTrips includes a larger survey and collects mobility diaries for one day representing respondents daily routine, calculates alternative routes and creates SP questions based on a Bayesian optimal design. In addition, the SP-off-RP data is used to estimate Latent Class models to investigate to model mode-choice behaviour of the respondents. Results of two case studies show a difference in response behaviour between SP and RP settings and suggest a reduction of hypothetical bias.
|11 Jan. 2022
|Kolloquium des Zentrums für Statistik
- Integrated Digital Urban Planning