Abstract
This paper presents a mode choice model for bike-and-ride using the data combined with RP and SP surveys from the neighborhoods within the distance of 500 meters away from the public bike spots in Xi’an Economic and Technological Development Zone. Compared with the previous researches, this model adds the factors of the owning of vehicles or not and trip purpose besides of the socio-economic characters, trip features and the service and facility level. The significant factors which can influence the mode choice behaviors of the bike-and-ride are identified and the results show that the age, owning of bikes, trip distance and the convenience of the service and facility of bike-and-ride have large impacts on the mode choice of bike-and- ride. Besides, car available and the income per year can also influence the mode choice of bike-and-ride and trip purpose has a small effect on the mode choice of bike-and-ride. Finally, this paper provides the policy suggestions for well implementation of the public bike projects in Xi’an Economic and Technological Development Zone according to the model analysis results to encourage more people choosing this mode pattern, which includes: (1) simplifying the transfer procedures, shorten the distance between bus stops/rail stations and public bike spots, and generalize the using of the transport card (containing both of the transit service and public bike service); (2) increasing the number of the public bike sports in the large commercial, residential, office areas and bus stops/rail stations where is densely populated; (3) planning and designing bike lanes in the road reconstructions.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.