[HTML][HTML] Will transit recover? A retrospective study of nationwide ridership in the United States during the COVID-19 pandemic

A Ziedan, C Brakewood, K Watkins - Journal of public transportation, 2023 - Elsevier
Although the COVID-19 pandemic highly impacted transit ridership as people reduced or
stopped travel, these changes occurred at different rates in different regions across the …

Requiem for transit ridership? An examination of who abandoned, who will return, and who will ride more with mobility as a service

J Soria, D Edward, A Stathopoulos - Transport Policy, 2023 - Elsevier
To adhere to health regulations and reduce the risks associated with the COVID-19
pandemic, employers, mobility operators, and travelers alike adopted new strategies such …

[HTML][HTML] Measuring students' satisfaction levels for transit services: An application of latent class analysis

R Etminani-Ghasrodashti, M Khan, RK Patel… - International Journal of …, 2023 - Elsevier
Past studies have identified the general public's level of satisfaction with the service
attributes of conventional fixed-route transit and ridesharing services, but few have limited …

Modeling car dependency and policies towards sustainable mobility: a system dynamics approach

R Pokharel, EJ Miller, K Chapple - Transportation research part D: transport …, 2023 - Elsevier
Despite decades of research on urban transportation, few researchers apply a holistic
understanding of the urban transport mechanism. To address this gap, in this paper we …

Exploring Regional Reduction Pathways for Human Exposure to Fine Particulate Matter (PM2.5) Using a Traffic Assignment Model

A Bin Thaneya, A Horvath - Environmental Science & Technology, 2023 - ACS Publications
An exposure-based traffic assignment (TA) model is used to quantify primary and secondary
fine particulate matter (PM2. 5) exposure from on-road vehicle flow on the Chicago …

A data-driven framework for natural feature profile of public transport ridership: Insights from Suzhou and Lianyungang, China

T Tang, Z Gu, Y Yang, H Sun, S Chen… - … research part A: policy and …, 2024 - Elsevier
Urban public transport systems, characterised by their complexity, generate vast data sets
that pose challenges to traditional analytical methods. To address this issue, our research …

Examining the socio-spatial patterns of bus shelters with deep learning analysis of street-view images: A case study of 20 cities in the US

J Kim, J Park, J Lee, KM Jang - Cities, 2024 - Elsevier
Previous studies on public transit in cities found the positive role of bus shelters in promoting
bus ridership. However, a large-scale and comparative investigation of bus shelter status …

Urban rail transit network topology evolutionary stage has influence on rail ridership: Insights from linear mixed-effects models with heterogeneity in variances

M Xin, S Feng - Transportation Research Part A: Policy and Practice, 2024 - Elsevier
Determining the impact of the evolutionary stage (ES) of urban rail transit (URT) network
topology on daily ridership (DR) can be beneficial for policymakers when analyzing recent …

Scale effects in ridesplitting: A case study of the City of Chicago

H Liu, S Devunuri, L Lehe, VV Gayah - … Research Part A: Policy and Practice, 2023 - Elsevier
Ridesplitting–a type of ride-hailing in which riders share vehicles with other riders–has
become a common travel mode in some major cities. This type of shared ride option is …

The app or the cap? Which fare innovation affects bus ridership?

A Ziedan, A Hightower, L Lima, C Brakewood - Transport Policy, 2024 - Elsevier
Technology advancements in the last two decades have changed several aspects of public
transit service, particularly related to fares. Transit agencies seek to benefit from new …