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Louviere, J., Henly, D.H., Woodworth, G., Meyer, R.J., Levin, I.P., Stones, J.W., Curry, D. and Anderson, D.A. (1981) Laboratory-Simulation versus Revealed Preference Methods for Estimating Travel Demand Models. In: Transportation Research Record 794, TRB, National Research Council, Washington DC, 42-51.

has been cited by the following article:

• TITLE: Determination of the Size of a Proposed Bike-Sharing Program in Las Vegas, Nevada

  AUTHORS: Boniphace Kutela, Nesley Orochena, Yang Jiao, Hualiang (Harry) Teng

  KEYWORDS: Bike-Share System, Simulation Model, Cost and Benefit Analysis

  JOURNAL NAME: Journal of Transportation Technologies, Vol.12 No.2, April 12, 2022

  ABSTRACT: Bike-share systems have been installed in cities worldwide as a way to attract travelers to use transit rather than the automobile. This has been proved to be an effective way of mitigating congestion on the road. The objective of this study is to develop a method to determine the size of the bike-share program in terms of the number of bicycles, the number and location of the stations, the number of docks at each station. To achieve the objectives of this study, a literature review was conducted on university bike-sharing systems in the U.S. and abroad. Various cases of bike-share programs were analyzed, in which each case consisted of a different number and location of bike-share stations. The demand corresponding to these stations was used as the input to a simulation model developed in this study to determine the number of docks in stations and bicycles in the system on and around campus at UNLV. These sizing parameters of the bike-share system then were used in a cost and benefit analysis to determine which cases could achieve maximum benefit, given a limitation of the initial costs. It was found that provision of one peripheral station and three internal stations at strategic locations provide relatively higher benefit cost ratio at lower initial cost.