ABSTRACT
While in the meantime, the previous impact factors of the bicycle mode choice are various in kinds. Yang Chen divided bike driving factors into individual characteristics such as age, gender, job, income, education and family attributes, trip information such as purpose and covering distance, and subjective perception of mode service level such as time consumption, convenience, safety, comfort and economy (Yang Chen, et al, 2007). Shan Xiaofeng
1 INTRODUCTION
Cycling is widely recognized as an environmentally friendly and healthy mode of transport. During the past decades, cycling has once witnessed a long term decline in most countries for years (Mark Wardman, et al, 2007). However, at present, cycling infrastructure has grown dramatically in many cities, and more programs are now in place to encourage cycling (Elliot Fishman, et al, 2012), and Xi’an is not an exception. The local government introduced public bike service firstly inside the Economic and Technological Development Zone in the northern part of the city since the year of 2009. Meanwhile, similar to other fast developing metropolitan cities, Xi’an has introduced metro system to ease serious traffic congestions and has begun operation with one line in the year of 2011, with two lines till to the year of 2013. Since then, Bike and Rail (B+R) promoting has become the object of the urban transport development of the local government. Now there are 34 spots and 680 bicycles with the max 1597 person trips and 2.34 times per bicycle per weekday in this district. Compared with other cities (20.08 in Taiyuan, 12.48 in Kunshan, 6.22 in Zhongshan, 5.6 in Wenzhou and FoshanSanshui District, 5 in Suzhou, 3.72 in Hangzhou, and 3.1 in Guangzhou) in China, the public bike program has more spaces for its improvement and needs to be further promoted in Xi’an in order to largely reduce the motorized transport. Thus, this paper works on analyzing the factors that impact the use of B+R through the mode choice models established by using the data collected in the Economic and Technological Development Zone. Besides, the suggestions based on the model result analysis are proposed in this paper as well. The findings in this paper can be of reference values in the policy
considered individual characteristics, such as gender, age, time urban living time, education, job, income, family structure and whether having children, and travel information including distance and time consumption will impact people’s bicycle mode choice (Shan Xiaofeng, et al, 2006). Ma Pei took the factors of the bicycle facility into consideration of the bicycle mode choice (Ma Pei, et al, 2011). Although there are many factors that affect the use of the bicycle, they can be classified as follow: socio-economic characteristics of the individuals and households, trip characteristics and transport facility and its service.
