01473285

Component

Bicycle-sharing system is considered as a green option to provide a better connection between scenic spots and nearby metro/bus stations. This paper focuses on allocating and optimizing the layout of bicycle-sharing system inside the scenic spot and around its influencing area. It is found that the terrain, land use, nearby transport network and scenery point distribution have significant impact on the allocation of bicycle-sharing system. While the candidate bicycle-sharing stations installed at the inner scenic points, entrances/exits and metro stations are fixed, unmovable, the ones installed at bus-stations and other passenger concentration buildings are adjustable. Aiming at minimizing the total cycling distance and overlapping rate, an optimization model is proposed and solved based on the idea of cluster concept and greedy heuristic. A revealed preference/stated preference combined survey was conducted at Xuanwu Lake in Nanjing, China to get an insight into the touring trip characteristics and bicycle-sharing tendency. The results revealed that 39.81% visitors accept a cycling distance of 1~3 km and 62.50% respondents think that the bicycle-sharing system should charge an appropriate fee. The survey indicates there is high possibility to carryout bicycle-sharing system at Xuanwu Lake. Optimizing the allocation problem cluster by cluster rather than using exhaustive search method significantly reduces the computing amount. The 500m-radius-coverage rate for the alternative optimized by 500m-radius-cluster and 800m-radius-cluster is 89.2% and 68.5%, respectively. The final layout scheme will provide decision makers engineering guidelines and theoretical support.

This paper was sponsored by TRB committee ANF20 Bicycle Transportation.

01470560

13-3792

English

16p

2013

Transportation Research Board 92nd Annual Meeting

Digital/other

Figures; References; Tables

Bicycle facilities; Bicycle travel; Optimization; Recreational trips; Scenic easements; Surveys; Vehicle sharing

Nanjing (China)

Pedestrians and Bicyclists; Planning and Forecasting; I72: Traffic and Transport Planning

Transportation Research Board Annual Meeting 2013 Paper #13-3792

TRIS, TRB, ATRI

Feb 5 2013 12:44PM