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dc.contributor.authorDaziano, Ricardo A
dc.contributor.authorYoon, So-Yeon
dc.contributor.authorWang, Cacho
dc.date.accessioned2021-12-02T21:40:44Z
dc.date.available2021-12-02T21:40:44Z
dc.date.issued2021-09-30
dc.identifier.urihttps://hdl.handle.net/1813/110361
dc.descriptionFinal Reporten_US
dc.description.abstractIn recent years, the continuous growth of private cars, the tight supply of land resources and the continuous poor air conditions have led policy makers to advocate sustainable public transportation. Bike sharing system has been introduced by many cities and developed worldwide rapidly, due to its advantages in reducing environmental pollution and alleviating traffic congestion (Fishman, Washington et al. 2015). It is recognized as a strategic tool to integrate public transportation and promote sustainable urban transportation (Martin and Shaheen 2014). Cities around the world seek to reshape urban transportation to a greener and healthier way with the help of bike sharing system. Since bike sharing systems were put into use, the service has gone through several generations. From the initial free bike system (DeMaio 2009) in the 1960s, to the coin- deposit system (Shaheen, Guzman et al. 2010), and then to the information technology-based system (Wang, Zhang et al. 2010), it has now developed into the multimodal system (Mátrai and Tóth 2016). However, with the development of´ bike sharing system, many challenges related to its operation have not been well solved, including modeling the demand and encouraging users to purchase memberships. This report focuses on modeling the demand of bike sharing system and exploring the factors that affect users’ subscription membership, in the context of the Citi Bike initiative in New York City. It is organized as follows. Chapter 1 is the literature review of related topics. Chapter 2 describes the data as well as the context of the survey. Chapter 3 develops different discrete choice models and discusses estimates of these models, with focuses on both attributes of a bike sharing system pass and socio-demographics of users. Conclusions found through these models are also discussed in this part.en_US
dc.description.sponsorshipU.S. Department of Transportation 69A3551747119en_US
dc.language.isoen_USen_US
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectDiscrete choice modelen_US
dc.subjectCyclingen_US
dc.subjectSubscriptionen_US
dc.subjectvirtual realityen_US
dc.titleImproving immersive, highly realistic in-lab, cycling experiences for analyzing active travelen_US
dc.typereporten_US
schema.accessibilityFeaturereadingOrderen_US
schema.accessibilityFeaturestructuralNavigationen_US
schema.accessibilityFeaturetaggedPDFen_US
schema.accessibilityHazardunknownen_US


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