Go Back Research Article December, 2021

CITI BIKE PRE AND POST PANDEMIC ANALYSIS UNDERSTANDING THE IMPACT OF COVID-19 ON URBAN MOBILITY

Author Lakshmi Namratha

Abstract

This study presents a comprehensive analysis of Citi Bike usage patterns and ridership trends before and after the COVID-19 pandemic in major metropolitan areas. Using data collected from Citi Bike systems, we examine the shifts in urban mobility behaviors, the effect of lockdown measures, and the long-term implications on bike-sharing services. Our findings reveal significant changes in ridership, trip durations, and station utilization during the pandemic period. We also explore how Citi Bike adapted to the new normal and discuss potential strategies for sustainable urban transportation in a post-pandemic world. This research provides valuable insights for policymakers, urban planners, and bike-sharing operators aiming to enhance urban mobility resilience and sustainability.

Keywords

citi bike bike-sharing urban mobility ridership trends weather data predictive modeling data preprocessing feature selection model evaluation outlier detection data imputation model selection r2 score linear regression random forest xgboost missing data data cleaning seasonal variations data continuity continuity issues weather data gaps hyperparameter tuning winsorization data quality weather data challenges model performance evaluation urban mobility analysis data integrity missing data handling ensemble learning
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Volume 12
Issue 1
Pages 99-109
ISSN 0976-6332