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

Kim, Hyungkyoo

doi:10.3390/ijerph17113999

Cited by 20 publications

(11 citation statements)

References 87 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this study, adjusting outdoor activity based on air quality was found to be associated with frequent bike share trips for dual or triple-purpose. Regarding the impact of particulate matter (PM) levels on bike share, one study conducted in Seoul, South Korea, revealed that PM 10 and PM 2.5 levels had negative impact on bike share use, particularly in winter and spring [ 42 ]. Another study reviewed seven studies on air quality and physical activity and concluded that poor air quality was related to lower odds of physical activity [ 43 ].…”

Section: Discussionmentioning

confidence: 99%

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

Chen

Hsu

2020

IJERPH

View full text Add to dashboard Cite

Using bike share could increase physical activity and improve health. This study used the social-ecological model to identify predictors of frequent bike share trips for different purposes. Participants residing in the U.S. were recruited via Amazon Mechanical Turk (MTurk). Self-report trip purposes were used to group participants into using bike share for commuting only (n = 260), social/entertainment only (n = 313), exercise only (n = 358), dual or triple-purpose (n = 501), and purposes other than commuting, social/entertainment, and exercise (n = 279). Results showed that at the intrapersonal level, perceived use of bike share to be helpful for increasing physical activity was a significant predictor for all groups, except for the other purpose group. Adjusting outdoor activity based on air quality was a significant predictor for the dual or triple-purpose group. At the interpersonal level, having four or more friends/family using bike share was a significant predictor for the other purpose group. At the community level, distance to the nearest bike share within acceptable range was a significant predictor for social/entertainment and dual or triple-purpose groups. The findings suggest that it is important to consider factors at multiple levels for predicting bike share usage. Moreover, health educators and policy makers should adopt different strategies for promoting bike share usage based on trip purposes.

show abstract

Section: Discussionmentioning

confidence: 99%

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

Chen

Hsu

2020

IJERPH

View full text Add to dashboard Cite

show abstract

“…We conducted a goodness-of-fit analysis, and subsequently, determined that a negative binomial regression analysis is most suitable for this data. A negative binomial regression is a statistical model used in various fields and has been proven to be highly effective in many existing studies in similar fields [24]. As mentioned previously, we used PV as the dependent variable and the microclimatic factors (temperature, precipitation, and PM10) as independent variables.…”

Section: Analysis Methodsmentioning

confidence: 99%

“…Changes in daily life due to PM mainly appear in the form of a decrease in various urban activities, such as walking, leisure, labor, and consumption [40,41]. In Korea, studies have also reported that PM affects PV [42], bicycle use [24], and outdoor leisure activities [43].…”

Section: Previous Perspectives On Microclimatic Conditions and Enviromentioning

confidence: 99%

“…In addition, many studies on the effect of climate on outdoor activities, including walking, have been conducted in the public health field [20][21][22]. In recent years, as climate-adaptive cities have become an issue, interest in the impact of microclimate factors on walking in urban spaces is also increasing in the urban planning field [16,23,24]. However, research on the interaction of the urban physical environment and the influence of microclimate on PV is insufficient.…”

Section: Introduction 1background and Purposementioning

confidence: 99%

See 1 more Smart Citation

Differences in the Influence of Microclimate on Pedestrian Volume According to Land-Use

Kim

Hong

2021

Land

View full text Add to dashboard Cite

Identifying how the urban environment affects pedestrian volume is a traditional urban planning topic. Recently, because of climate change and air pollution, interest in the effects of urban microclimates has been increasing. However, it is unclear whether the effects of microclimate on pedestrian volume can vary depending on the urban environment. This study determines whether microclimate’s influence on pedestrian volume differs according to land-use in the urban environment in Seoul, Korea. We constructed eight models with microclimate factors (temperature, precipitation, and PM10) as independent variables, using pedestrian volume as the dependent variable. We classified the models according to season and land-use and conducted a negative binomial regression analysis. The results confirmed that the effect of microclimate on pedestrian volume varies by land-use. A summary of the results is as follows. First, residential areas had more microclimate factors that significantly affected pedestrian volume compared to commercial areas. Second, for microclimate variables that had significant influences in commercial areas, the size of their influence was greater in commercial than in residential areas. Third, the influence of microclimatic factors on pedestrian volume in mixed-use areas has intermediate characteristics between residential and commercial areas.

show abstract

“…Usage initially continued to increase during the summer (June to August), but declined in August. In autumn (September-November), bike sharing was the most used, with up to 60,000 trips per day, but it dwindled towards November [49].…”

Section: Kim H (2020)mentioning

confidence: 99%

Tripartite Dynamic Game among Government, Bike-Sharing Enterprises, and Consumers under the Influence of Seasons and Quota

Cui

Xiao

2021

Sustainability

View full text Add to dashboard Cite

After the cast ban on bike-sharing was lifted, bike-sharing entered the quota period. This notion means that the management of bike-sharing began to change from the unified to the diversified government governance, including all sectors of society. This work creates a dynamic game model based on the tripartite interest relationship among the government, bike-sharing enterprises, and consumers, and introduces the government quota policy and seasonal characteristics of bike-sharing into the game model. This model explores the multi-stage dynamic game process among the government, bike-sharing enterprises, and consumers. We draw the following conclusions. The government’s quota policy was effective during peak demand for bike-sharing, but not before the off-peak season. Through the case studies, we verify the feasibility of the government to relax the regulation appropriately in the peak season. We also changed the punishment and reward intensity of bike-sharing enterprises to consumers in the case studies and analyzed the influence of regulation intensity of bike-sharing enterprises on consumer behaviors. The final suggestion is that the government should appropriately relax regulation during peak demand season to reduce costs and strengthen regulation before the off-season of bike-sharing demand. Bike-sharing enterprises should maintain a high level of regulation on consumers, and a low level of regulation has no constraint on consumer behaviors.

show abstract

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

Cited by 20 publications

References 87 publications

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

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

Differences in the Influence of Microclimate on Pedestrian Volume According to Land-Use

Tripartite Dynamic Game among Government, Bike-Sharing Enterprises, and Consumers under the Influence of Seasons and Quota

Contact Info

Product

Resources

About