Results 21 to 30 of about 24,589 (207)

Bus Ridership Prediction Based on Fixed-effects Model [PDF]

open access: yesE3S Web of Conferences
In order to predict the urban bus ridership more accurately, this study focuses on the impact of social and economic factors and the supply service level of buses on urban bus ridership.
Shao Chenyang
doaj   +1 more source

On Ridership and Frequency

open access: yes, 2020
Even before the start of the COVID-19 pandemic, bus ridership in the United States had attained its lowest level since 1973. If transit agencies hope to reverse this trend, they must understand how their service allocation policies affect ridership. This paper is among the first to model ridership trends on a hyper-local level over time.
Berrebi, Simon   +2 more
openaire   +2 more sources

STR-GODEs: Spatial-Temporal-Ridership Graph ODEs for Metro Ridership Prediction

open access: yes, 2021
The metro ridership prediction has always received extensive attention from governments and researchers. Recent works focus on designing complicated graph convolutional recurrent network architectures to capture spatial and temporal patterns. These works extract the information of spatial dimension well, but the limitation of temporal dimension still ...
openaire   +2 more sources

Understanding the Spatiotemporal Impacts of the Built Environment on Different Types of Metro Ridership: A Case Study in Wuhan, China

open access: yesSmart Cities, 2023
As the backbone of passenger transportation in many large cities around the world, it is particularly important to explore the association between the built environment and metro ridership to promote the construction of smart cities.
Hong Yang   +4 more
doaj   +1 more source

Chapter 3 - Mobility on demand (MOD) and mobility as a service (MaaS): early understanding of shared mobility impacts and public transit partnerships [PDF]

open access: yes, 2019
Technology is changing the way we move and reshaping cities and society. Shared and on-demand mobility represent notable transportation shifts in the 21st century.
6t   +53 more
core   +1 more source

Effects of Coverage Area Treatment, Spatial Analysis Unit, and Regression Model on the Results of Station-Level Demand Modeling of Urban Rail Transit

open access: yesJournal of Advanced Transportation, 2021
Direct ridership models can predict station-level urban rail transit ridership. Previous research indicates that the direct modeling of urban rail transit ridership uses different coverage overlapping area processing methods (such as naive method or ...
Hongtai Yang   +6 more
doaj   +1 more source

IMPACT OF PARK-AND-RIDE ON PUBLIC TRANSIT RIDERSHIP [PDF]

open access: yesTransport Problems, 2021
We examine the relative impact of increased housing vs. increased parking availability on ridership of public transit. The approach sheds light on the trade-off in alternative land uses near transit stops:park-and-ride(PnR)vs.
JosephM. POGODZINSKI, John S. NILES
doaj   +1 more source

How change of public transportation usage reveals fear of the SARS virus in a city. [PDF]

open access: yesPLoS ONE, 2014
The outbreaks of the severe acute respiratory syndrome (SARS) epidemic in 2003 resulted in unprecedented impacts on people's daily life. One of the most significant impacts to people is the fear of contacting the SARS virus while engaging daily routine ...
Kuo-Ying Wang
doaj   +1 more source

Mixed Data and Classification of Transit Stops

open access: yes, 2016
An analysis of the characteristics and behavior of individual bus stops can reveal clusters of similar stops, which can be of use in making routing and scheduling decisions, as well as determining what facilities to provide at each stop.
Handley, John C.   +2 more
core   +1 more source

Prediction of "L" Train’s Daily Ridership in Downtown Chicago During the COVID-19 Pandemic

open access: yesFindings, 2021
In this study, we utilized a random forest model to predict the "L" train’s daily ridership in the Chicago downtown area during the pandemic based on environmental, transportation, and COVID-19-related factors.
Amin Azimian, Junfeng Jiao
doaj   +1 more source

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