Literature DB >> 32512892

Seasonal Impacts of Particulate Matter Levels on Bike Sharing in Seoul, South Korea.

Hyungkyoo Kim1.   

Abstract

Bike sharing is increasingly attracting more riders in cities around the world for its benefits regarding the urban environment and public health. The public bike sharing program of Seoul, South Korea, first launched in October 2015, is now widely spread around the city and serves more than 27,000 riders daily. However, concerns are being raised as rising air pollution levels in Seoul, represented by particulate matter (PM) levels, in recent years may negatively discourage citizens from using bike sharing. This study investigates the impact of PM10 and PM2.5 levels on bike sharing use in Seoul and seeks to identify any seasonal differences. A series of negative binomial regression models, which take into account control variables like weather conditions and calendar events, are adopted to empirically measure the impacts. Results show that the PM levels yield statistically significant negative impacts (p < 0.01) on bike sharing use throughout the year. The impacts are particularly stronger in winter and spring, when the PM levels are higher. Findings suggest that PM levels may operate as driving factors for bike sharing use in addition to meteorological conditions like temperature, humidity, and precipitation.

Entities:  

Keywords:  Seoul; bike sharing; negative binomial regression; particulate matter; seasonal impacts

Year:  2020        PMID: 32512892     DOI: 10.3390/ijerph17113999

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  2 in total

1.  Impacts of COVID-19 on bike-sharing usages in Seoul, South Korea.

Authors:  Junfeng Jiao; Hye Kyung Lee; Seung Jun Choi
Journal:  Cities       Date:  2022-07-04

2.  Socio-Ecological Predictors of Frequent Bike Share Trips: Do Purposes Matter?

Authors:  Li-Ting Chen; Ya-Wen Hsu
Journal:  Int J Environ Res Public Health       Date:  2020-10-20       Impact factor: 3.390

  2 in total

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