Results 31 to 40 of about 1,856 (116)

Exploring the Role of Transit Ridership as a Proxy for Regional Centrality in Moderating the Relationship between the 3Ds and Street-Level Pedestrian Volume: Evidence from Seoul, Korea

open access: yesLand, 2022
The preference for walking and the resulting pedestrian activities have been considered key success factors for streets, neighborhoods, and cities alike.
Seung-Nam Kim, Juwon Chung, Junseung Lee
doaj   +1 more source

Investigating the Factors That Influence the Ridership of Light Rail Transit Systems Using Thematic Analysis of Academic Literature

open access: yesFuture Transportation
Among urban public transport systems, light rail, mass transit, and tram systems offer sustainable travel options. However, many of these systems, particularly in developed countries, fail to meet user needs and the expectations of transport authorities.
Huseyin Ayan   +2 more
doaj   +1 more source

Studying the Impact of the COVID-19 Pandemic on Bikeshares as a Mode of Shared Micromobility in Major Cities: A Case Study of Houston

open access: yesFuture Transportation
A bikeshare system offers a convenient and cost-effective transportation service, providing shared bicycles for short-term use by individuals. It promotes affordability for users while fostering a healthier environment.
Mehdi Azimi   +2 more
doaj   +1 more source

Forecasting of Short-Term Metro Ridership with Support Vector Machine Online Model

open access: yesJournal of Advanced Transportation, 2018
Forecasting for short-term ridership is the foundation of metro operation and management. A prediction model is necessary to seize the weekly periodicity and nonlinearity characteristics of short-term ridership in real-time. First, this research captures
Xuemei Wang   +3 more
doaj   +1 more source

How do crime and neighborhood environment affect transit ridership? Evidence from five metropolitan cities in the Texas Triangle

open access: yesTransportation Research Interdisciplinary Perspectives
Transit ridership is an important factor in evaluating transit service performance and an essential source of revenue for transit authorities in the United States. Alongside internal service characteristics such as average headways and service frequency,
Qian He, Jianling Li
doaj   +1 more source

Public Transit Ridership and Car-Oriented Cities: The Case of the Dallas Region

open access: yesEconomies, 2019
U.S. cities have invested large amounts of sums on public transit and urban rail in the last few decades, but the transit usage in most of these car-oriented cities is very low, and previous efforts to increase ridership have been mostly fruitless.
Ahmed Daqrouq, Ardeshir Anjomani
doaj   +1 more source

Does improving stop amenities help increase Bus Rapid Transit ridership? Findings based on a quasi-experiment

open access: yesTransportation Research Interdisciplinary Perspectives, 2021
Amenities at bus stops are thought to affect transit ridership, yet this relationship is rarely quantified. We assembled data on ridership and stop amenities, including Real-Time Information System (RTIS), shelters, lighting, litter receptacles, benches,
Xiao Shi   +5 more
doaj   +1 more source

Assessing subway ridership resilience under extreme weather with vine copula modeling

open access: yesnpj Sustainable Mobility and Transport
Extreme weather poses increasing challenges to urban transit systems, yet the resilience of subway ridership under such conditions remains insufficiently understood.
Yan Guo   +4 more
doaj   +1 more source

Spatiotemporal Influence of Urban Environment on Taxi Ridership Using Geographically and Temporally Weighted Regression

open access: yesISPRS International Journal of Geo-Information, 2019
Taxicabs play an important role in urban transit systems, and their ridership is significantly influenced by the urban built environment. The intricate relationship between taxi ridership and the urban environment has been explored using either ...
Xinxin Zhang, Bo Huang, Shunzhi Zhu
doaj   +1 more source

Trip Purpose Prediction with Minimal Sequential Context: A Parsimonious Machine Learning Approach

open access: yesIET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
Trips labelled ’Home’ and ’School’ were predicted with the highest accuracy, correctly identifying about 92% of those trips. ’Shopping’ and ’Dining Out’ trips were moderately well classified (∼55% each), whereas ’Leisure’ trips were more often confused with other purposes (∼29% correct), likely because leisure activities are diverse and occur under ...
Jiho Kim, Jiwoo Kim, Kyusang Kwon
wiley   +1 more source

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