The impact of real-time information on bus ridership in New York City

Brakewood, Candace; Macfarlane, Gregory S.; Watkins, Kari

doi:10.1016/j.trc.2015.01.021

Cited by 111 publications

(70 citation statements)

References 18 publications

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“…Additionally, access to real-time information can be influential on an individual's decision to use the transit system. Indeed, prior research has shown that it can increase ridership by approximately 2% (Tang and Thakuriah 2012;Brakewood, Macfarlane, and Watkins 2015). Considering the constrained budgets of many transit agencies, providing real-time information can be a cost-effective way to increase ridership.…”

Section: Introductionmentioning

confidence: 99%

Trends in Mobile Transit Information Utilization: An Exploratory Analysis of Transit App in New York City

Ghahramani¹,

Brakewood²

2016

JPT

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Section: Introductionmentioning

confidence: 99%

Trends in Mobile Transit Information Utilization: An Exploratory Analysis of Transit App in New York City

Ghahramani¹,

Brakewood²

2016

JPT

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“…Similar studies have been conducted in the city of Chicago [11] and New York City [12]. Several important benefits that real-time transit information can bring to bus riders can be extracted from the previous studies.…”

Section: Previous Studies On Real-time Information Of Public Transitsmentioning

confidence: 78%

A preliminary survey analysis of school shuttle bus system towards smart mobility solutions

Yue¹,

Hoy²,

Chye³

2017

AIP Conference Proceedings

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Abstract. Mobility and accessibility are crucial indicators of urban development. Public transport in the urban areas came into existence to fulfil transportation needs as well as mobility and accessibility demands. Ridership can be affected by the quality and quantity of transit service. However, technical improvements are needed for such as real-time bus information, controlling run time and headway delay. Thus, this paper is aimed to carry out a preliminary survey to determine the problems of school shuttle bus that faced by the students in a selected educational institution, their perceptions of using shuttle bus tracking and information mobile application and impacts of real-time information of public transits on bus ridership and towards smart mobility solutions. Efficient public transportation system needs further investigation about the role of mobile application for the bus tracking system in supporting smart mobility actions and real-time information. The proposed application also provides a smart solution for the management of public infrastructures and urban facilities in Malaysia in future. Eventually, this study opens an opportunity to improve Malaysian quality of life on the public value that created for the city as a whole.

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“…That makes passenger less comfortable. In the literature, social sciences tried to reduce perceived or actual waiting time, or emotional and psychological costs, whereas operations research investigated waiting time reduction strategies [8][9][10][11][12], as waiting time could be considered scarce, economic resource and unavoidable [13,14]. In order to maximize time utility, some passengers allocate waiting time to activities/preoccupations.…”

Section: Introductionmentioning

confidence: 99%

On Individual Repositioning Distance along Platform during Train Waiting

Leurent

Xie

2018

Journal of Advanced Transportation

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Out of waiting times spent in rail stations on boarding platforms, some part can be reinvested by the trip-makers to optimize their positions of boarding and save on travel time for the rest of their trips. This paper provides a stochastic model, in which user's journey is decomposed into phases of, successively, walking in the access station, platform positioning, waiting for boarding, train riding, and walking in the egress station. Walking speed and target position are modeled as individual factors, and in-station distances as random variables. Service timetable is exogenous. This makes egress times and exit instants random variables that are characterized by distribution and mass probability functions under closed-forms, for both single and distributed walking speeds. Specific statistical distributions are shown to ease computation. The resulting PDF formulae make likelihood functions of the model parameters. Maximum likelihood estimation is proposed and applied to a case study of commuter rail line in Paris: journeys between stations Vincennes and La Défense along line A of the Regional Express Railways. Based on data from Automated Fare Collection and Automatic Vehicle Location systems and pertaining to an individual user, satisfactory results were obtained.

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The impact of real-time information on bus ridership in New York City

Cited by 111 publications

References 18 publications

Trends in Mobile Transit Information Utilization: An Exploratory Analysis of Transit App in New York City

Trends in Mobile Transit Information Utilization: An Exploratory Analysis of Transit App in New York City

A preliminary survey analysis of school shuttle bus system towards smart mobility solutions

On Individual Repositioning Distance along Platform during Train Waiting

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