Hui Bi1,2,3, Zhirui Ye1,2,3, Yuhan Zhang1,2,3, He Zhu4. 1. Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing, Jiangsu, 210096, China. 2. Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, Nanjing, Jiangsu, 210096, China. 3. School of Transportation, Southeast University, Nanjing, Jiangsu, 210096, China. 4. Khoury College of Computer Sciences, Northeastern University, Boston, MA, 02115, United States.
Abstract
Introduction: The sudden COVID-19 pandemic poses a fresh and tough challenge to bike sharing systems (BSS). With this epidemic as a shock event, this paper aspires to shed light on the phenomenon of changing demand and usage regularity in New York City's BSS under the epidemic environment, spanning a period of 18 months. Methods: Technically, BSS's normal performance and the timely responses to the outbreak could be conceptualized as having four different stages. One provides a comparative analysis of bike sharing spatial-temporal mobility patterns and connectivity of the bike sharing usage network, before and during the public health crisis with a macroscopic perspective. Also, a multivariate investigation of user and trip characteristics on BSS is conducted to uncover the difference in the frequency of outdoor and sojourn time between various user communities. Results: Due to the impact of the outbreak, BSS registered severe ridership drops, yet it quickly recovered to the pre-pandemic levels within months. The decline of bike sharing usage was felt throughout all the areas during the outbreak. However, there were places where BSS ridership actually increased, particularly in the areas near supermarkets, parks and hospitals. The less densely connected network of the bike sharing usage has also resulted in a reduction in users' destination heterogeneity. This study also finds evidence of the significant gender, age and cycling pattern gaps in response to potential risk. Conclusions: Investigating the dynamics of bike sharing usage will help to comprehend how the serious pandemic caused by COVID-19 impacts people's daily mobility. Practically, this work hopes to provide insights into adapting this unprecedented pandemic so as to respond to similar events in the future.
Introduction: The sudden COVID-19 pandemic poses a fresh and tough challenge to bike sharing systems (BSS). With this epidemic as a shock event, this paper aspires to shed light on the phenomenon of changing demand and usage regularity in New York City's BSS under the epidemic environment, spanning a period of 18 months. Methods: Technically, BSS's normal performance and the timely responses to the outbreak could be conceptualized as having four different stages. One provides a comparative analysis of bike sharing spatial-temporal mobility patterns and connectivity of the bike sharing usage network, before and during the public health crisis with a macroscopic perspective. Also, a multivariate investigation of user and trip characteristics on BSS is conducted to uncover the difference in the frequency of outdoor and sojourn time between various user communities. Results: Due to the impact of the outbreak, BSS registered severe ridership drops, yet it quickly recovered to the pre-pandemic levels within months. The decline of bike sharing usage was felt throughout all the areas during the outbreak. However, there were places where BSS ridership actually increased, particularly in the areas near supermarkets, parks and hospitals. The less densely connected network of the bike sharing usage has also resulted in a reduction in users' destination heterogeneity. This study also finds evidence of the significant gender, age and cycling pattern gaps in response to potential risk. Conclusions: Investigating the dynamics of bike sharing usage will help to comprehend how the serious pandemic caused by COVID-19 impacts people's daily mobility. Practically, this work hopes to provide insights into adapting this unprecedented pandemic so as to respond to similar events in the future.
Authors: Ji Yun Noh; Joon Young Song; Jin Gu Yoon; Hye Seong; Hee Jin Cheong; Woo Joo Kim Journal: Int J Infect Dis Date: 2020-06-30 Impact factor: 3.623
Authors: Ari Shechter; Franchesca Diaz; Nathalie Moise; D Edmund Anstey; Siqin Ye; Sachin Agarwal; Jeffrey L Birk; Daniel Brodie; Diane E Cannone; Bernard Chang; Jan Claassen; Talea Cornelius; Lilly Derby; Melissa Dong; Raymond C Givens; Beth Hochman; Shunichi Homma; Ian M Kronish; Sung A J Lee; Wilhelmina Manzano; Laurel E S Mayer; Cara L McMurry; Vivek Moitra; Patrick Pham; LeRoy Rabbani; Reynaldo R Rivera; Allan Schwartz; Joseph E Schwartz; Peter A Shapiro; Kaitlin Shaw; Alexandra M Sullivan; Courtney Vose; Lauren Wasson; Donald Edmondson; Marwah Abdalla Journal: Gen Hosp Psychiatry Date: 2020-06-16 Impact factor: 7.587