H
Hannah Younes
Researcher at University of Maryland, College Park
Publications - 21
Citations - 426
Hannah Younes is an academic researcher from University of Maryland, College Park. The author has contributed to research in topics: Medicine & Population. The author has an hindex of 8, co-authored 15 publications receiving 179 citations.
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Journal ArticleDOI
Comparing the Temporal Determinants of Dockless Scooter-share and Station-based Bike-share in Washington, D.C.
TL;DR: In this article, the determinants of dockless scooters-share and of station-based bike-share rides in D.C. were analyzed using API data from dockless vendors and historical trip data from Capital Bikeshare from December 2018 to June 2019.
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A big-data driven approach to analyzing and modeling human mobility trend under non-pharmaceutical interventions during COVID-19 pandemic.
TL;DR: In this article, the authors present a big-data-driven analytical framework that ingests terabytes of data on a daily basis and quantitatively assesses the human mobility trend during COVID-19.
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Exploratory Analysis of Real-Time E-Scooter Trip Data in Washington, D.C.:
TL;DR: This study takes advantage of publicly available but not readily accessible e-scooter share data in Washington, D.C. for an initial view of the travel patterns and behaviors related to this new mode, and adopts an innovative approach to scrape and process general bikeshare feed specification data in real time for e- scooter share.
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Mobile device location data reveal human mobility response to state-level stay-at-home orders during the COVID-19 pandemic in the USA.
Chenfeng Xiong,Chenfeng Xiong,Songhua Hu,Mofeng Yang,Hannah Younes,Weiyu Luo,Sepehr Ghader,Lei Zhang +7 more
TL;DR: The data analytics and longitudinal models reveal a spontaneous mobility reduction that occurred regardless of government actions and a ‘floor’ phenomenon, where human mobility reached a lower bound and stopped decreasing soon after each state announced the stay-at-home order.
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How transit service closures influence bikesharing demand; lessons learned from SafeTrack project in Washington, D.C. metropolitan area
TL;DR: In this paper, the authors examined changes in bikeshare ridership due to rail transit closures in the Washington, D.C. area and investigated how promoting bikshare systems in large metropolitan areas could be beneficial in cases of transit disruptions regardless of the type, cause, and duration.