01697594

Component

Investing in cycling facilities is a common strategy to increase the level of cycling. As the demand for installation of bike facilities increases, it is becoming necessary to carefully examine installation costs and benefits by the type of bike facilities. In particular, we used the contingent valuation method to estimate the willingness-to-pay (WTP) by three types of bikeways: bike lanes, bike paths shared with pedestrians, and cycle tracks. Specifically, four kinds of modeling approaches such as the single-bounded model, the double-bounded model, the Spike model, and the one-and-one-half-bounded (OOHB) model were applied. The results confirms that it is more appropriate to use the estimation results from the double-bounded model or the OOHB model rather than the single-bounded model because these two models produced a higher significance level than the single-bounded model. The estimation results from the Spike model were more efficient than those from the double-bounded model. Finally, we analyzed the benefits for the bikeway in Goyang, South Korea using the WTPs from these models. The results show that users are willing to pay the highest price for cycle tracks followed by bike paths shared with pedestrians and bike lanes. This research can be a useful resource for analyzing users’ preferences concerning the type of bikeways and for estimating the benefits of the bikeway. This information will be useful to policy makers in their efforts to make a decision for new bike facilities and to increase the level of cycling.

This paper was sponsored by TRB committee ADB10 Standing Committee on Traveler Behavior and Values.

19-00727

English

4p

2019

Transportation Research Board 98th Annual Meeting

Digital/other

References; Tables

Benefits; Bicycle facilities; Bicycle lanes; Bicycling; Bikeways; Costs; Estimation theory; Mathematical models; Valuation

Contingent valuation method; Shared-use paths; Willingness to pay

Goyang (South Korea)

Finance; Pedestrians and Bicyclists; Planning and Forecasting; Terminals and Facilities

Transportation Research Board Annual Meeting 2019 Paper #19-00727

TRIS, TRB, ATRI

Dec 7 2018 9:32AM