Analysis of Stated Preferences for Intermodal Bicycle-Transit Interfaces

Taylor, D. L.; Mahmassani, Hani S.

doi:10.1177/0361198196155600111

Cited by 62 publications

(44 citation statements)

References 1 publication

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“…(The benefit of the presence of bike lanes is valued 1.6 times higher by less experienced cyclists.) This bike-lane appreciation is consistent with the hypothesis that experienced cyclists care less about the availability of bike lanes because they have higher skills than non-cyclists (e.g., Taylor and Mahmassani, 1996;Hunt and Abraham, 2007).…”

Section: Empirical Results: Inferencesupporting

confidence: 86%

A hybrid-choice latent-class model for the analysis of the effects of weather on cycling demand

Motoaki

Daziano

2015

Transportation Research Part A: Policy and Practice

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In this paper we analyze demand for cycling using a discrete choice model with latent variables and a discrete heterogeneity distribution for the taste parameters. More specifically, we use a hybrid choice model where latent variables not only enter into utility but also inform assignment to latent classes. Using a discrete choice experiment we analyze the effects of weather (temperature, rain, and snow), cycling time, slope, cycling facilities (bike lanes), and traffic on cycling decisions by members of Cornell University (in an area with cold and snowy winters and hilly topography). We show that cyclists can be separated into two segments based on a latent factor that summarizes cycling skills and experience. Specifically, cyclists with more skills and experience are less affected by adverse weather conditions. By deriving the median of the ratio of the marginal rate of substitution for the two classes, we show that rain deters cyclists with lower skills from bicycling 2.5 times more strongly than those with better cycling skills. The median effects also show that snow is almost 4 times more deterrent to the class of less experienced cyclists. We also model the effect of external restrictions (accidents, crime, mechanical problems) and physical condition as latent factors affecting cycling choices.

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Section: Empirical Results: Inferencesupporting

confidence: 86%

A hybrid-choice latent-class model for the analysis of the effects of weather on cycling demand

Motoaki

Daziano

2015

Transportation Research Part A: Policy and Practice

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“…These measures include, for example, bike parking, bike racks on buses, bike sharing programs, cycling training courses, media campaigns, and educational events (APBP 2002;Brons et al 2009;Fietsberaad 2010;Givoni and Rietveld 2007;Hegger 2007;Hunt and Abraham 2007;Martens 2007;Netherlands Ministry of Transport 2009;Noland and Kunreuther 1995;Taylor and Mahmassani 1996;TRB 2005;Wardman et al 2007). Comparable data for these programs are not available for most of the 90 cities.…”

Section: Control Variablesmentioning

confidence: 99%

Cycling to work in 90 large American cities: new evidence on the role of bike paths and lanes

2011

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This article analyzes the variation in bike commuting in large American cities, with a focus on assessing the influence of bike paths and lanes, which have been the main approach to increasing cycling in the USA. To examine the role of cycling facilities, we used a newly assembled dataset on the length of bike lanes and paths in 2008 collected directly from 90 of the 100 largest U.S. cities. Pearson's correlation, bivariate quartile analysis, and two different types of regressions were used to measure the relationship between cycling levels and bikeways, as well as other explanatory and control variables. Ordinary Least Squares and Binary Logit Proportions regressions confirm that cities with a greater supply of bike paths and lanes have significantly higher bike commute rates-even when controlling for land use, climate, socioeconomic factors, gasoline prices, public transport supply, and cycling safety. Standard tests indicate that the models are a good fit, with R 2 ranging between 0.60 and 0.65. Computed coefficients have the expected signs for all variables in the various regression models, but not all are statistically significant. Estimated elasticities indicate that both off-street paths and on-street lanes have a similar positive association with bike commute rates in U.S. cities. Our results are consistent with previous research on the importance of separate cycling facilities and provide additional information about the potentially different role of paths vs. lanes. Our analysis also revealed that cities with safer cycling, lower auto ownership, more students, less sprawl, and higher gasoline prices had more cycling to work. By comparison, annual precipitation, the number of cold and hot days, and public transport supply were not statistically significant predictors of bike commuting in large cities.

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“…Harris and Associates (1991); Kroll and Ramey (1977); Kroll and Sommer (1976); Landis and Vattikuti (1996); Lott et al (1978); Mars and Kyriakides (1986); Nelson and Allen (1997); Sacks (1994); Taylor and Mahmassani (1997) Nature of shared roadway, including road class, sight distances, turning radii, lane/median configurations Aultman-Hall (1996); Calgary (1993); Copley and Pelz (1995); Davis (1995); Denver (1993);Epperson (1994); Landis and Vattikuti (1996); Mars and Kyriakides (1986); Shepherd (1994); Sorton (1995); Sorton and Walsh (1994) Existence of on-street parking Davis (1995); Epperson (1994); Mars and Kyriakides (1986) Pavement surface type and/or quality Antonakos (1994); Axhausen and Smith (1986); Bradley and Bovy (1984); Davis (1995); Epperson (1994); ...…”

Section: Review Of Previous Work On Factors Influencing Bicycle Usementioning

confidence: 99%

“…Motor vehicle speeds and driver behaviour Antonakos (1994); Davis (1995); Epperson (1994); Landis and Vattikuti (1996); Mars and Kyriakides (1986); Sorton (1995); Sorton and Walsh (1994) Volume or mix of motor vehicle types, including proportion trucks Antonakos (1994); Axhausen and Smith (1986); Bradley and Bovy (1984); Calgary (1993); Davis (1995); Epperson (1994); Landis and Vattikuti (1996); Mars and Kyriakides (1986); Sorton and Walsh (1994) Pedestrian interaction Mars and Kyriakides (1986) Individual and trip characteristics Gender Antonakos (1994); Aultman-Hall (1996); Sacks (1994); Taylor and Mahmassani (1997) Transportation (2007) 34:453-470 455 Table 1 continued Factor References Age Antonakos (1994); Aultman-Hall (1996); Sacks (1994); Taylor and Mahmassani (1997); Treadgold (1996) Income …”

Section: Review Of Previous Work On Factors Influencing Bicycle Usementioning

confidence: 99%

Influences on bicycle use

2006

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A stated preference experiment was performed in Edmonton in Canada to both examine the nature of various influences on bicycle use and obtain ratios among parameter values to be used in the development of a larger simulation of household travel behaviour. A total of 1128 questionnaires were completed and returned by current cyclists. Each questionnaire presented a pair of possible bicycle use alternatives and asked which was preferred for travel to a hypothetical all-day meeting or gathering (business or social). Alternatives were described by specifying the amounts of time spent on three different types of cycling facility and whether or not showers and/or secure bicycle parking were available at the destination. Indications of socio-economic character and levels of experience and comfort regarding cycling were also collected. The observations thus obtained were used to estimate the parameter values for a range of different utility functions in logit models representing this choice behaviour. The results indicate, among other things, that time spent cycling in mixed traffic is more onerous than time spent cycling on bike lanes or bike paths; that secure parking is more important than showers at the destination; and that cycling times on roadways tend to become less onerous as level of experience increases. Some of these results are novel and others are consistent with findings regarding bicycle use in work done by others, which is seen to add credence to this work. A review of previous findings concerning influences on cycling behaviour is also included. Copyright Springer Science+Business Media, LLC 2007Cycling, Bicycle route choice, Stated preference, Logit choice modelling,

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Analysis of Stated Preferences for Intermodal Bicycle-Transit Interfaces

Cited by 62 publications

References 1 publication

A hybrid-choice latent-class model for the analysis of the effects of weather on cycling demand

A hybrid-choice latent-class model for the analysis of the effects of weather on cycling demand

Cycling to work in 90 large American cities: new evidence on the role of bike paths and lanes

Influences on bicycle use

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