Related papers: Insights into the Impact of COVID-19 on Bicycle Usage in Colorado Counties

Insights into the Impact of COVID-19 on Bicycle Usage in Colorado Counties

URL: http://arxiv.org/abs/2101.10130v1
Date: Wed, 20 Jan 2021 04:55:03 GMT
Title: Insights into the Impact of COVID-19 on Bicycle Usage in Colorado Counties
Authors: Abdullah Kurkcu, Ilgin Gokasar, Onur Kalan, Alperen Timurogullari, Burak Altin
Abstract summary: Coronavirus emerged in China towards the end of 2019 and subsequently influenced the whole world. In many parts of the world, in both cities and rural areas, people have been forced to stay home weeks. In this study, we attempt to analyze how the use of bicycling has changed -- pre- and post-pandemic.
Score: 0.0
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Abstract: Coronavirus, which emerged in China towards the end of 2019 and subsequently influenced the whole world, has changed the daily lives of people to a great extent. In many parts of the world, in both cities and rural areas, people have been forced to stay home weeks. They have only been allowed to leave home for fundamental needs such as food and health needs, and most started to work from home. In this period, very few people, including essential workers, had to leave their homes. Avoiding social contact is proven to be the best method to reduce the spread of the novel Coronavirus. Because of the COVID-19 pandemic, people are adapting their behavior to this new reality, and it may change the type of public events people perform and how people go to these activities. Consumer behaviors have been altered during the pandemic. While people try to avoid gatherings, they also stayed away from mass transport modes and turned to private modes of transportation more -- private cars, private taxis and bike-sharing systems; even walking became more popular. In this study, we attempt to analyze how the use of bicycling has changed -- pre- and post-pandemic -- using open data sources and investigating how socio-economics characteristics affect this change. The results showed that average income, average education level, and total population are the most crucial variables for the Pandemic to Transition period and the Transition to the Normalization period.

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