Understanding the impacts of a public transit disruption on bicycle sharing mobility patterns: A case of Tube strike in London

Saberi, Meead; Ghamami, Mehrnaz; Gu, Yi; Shojaei, Mohammad Hossein; Fishman, Elliot K.

doi:10.1016/j.jtrangeo.2017.11.018

Cited by 127 publications

(69 citation statements)

References 38 publications

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“…In London, such disruption has caused total bicycle-sharing trips and their durations to increase by 85% and 88%, respectively. This finding suggests that bicycle-sharing systems can improve the resilience of public transportation systems effectively when disruption occurs [30]. Campbell and Brakewood find evidence that bicycle sharing in New York decreased bus ridership [31].…”

Section: Literature Reviewmentioning

confidence: 98%

How Have Travelers Changed Mode Choices for First/Last Mile Trips after the Introduction of Bicycle-Sharing Systems: An Empirical Study in Beijing, China

Fan

Chen

Wan

2019

Journal of Advanced Transportation

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In recent years, there has been rapid development in bicycle-sharing systems (BSS) in China. Moreover, such schemes are considered promising solutions to the first/last mile problem. This study investigates the mode choice behaviors of travelers for first/last mile trips before and after the introduction of bicycle-sharing systems. Travel choice models for first/last mile trips are determined using a multinomial logit model. It also analyzes the differences in choice behavior between the young and other age groups. The findings show that shared bicycles become the preferred mode, while travelers preferred walking before bicycle-sharing systems were implemented. Gender, bicycle availability, and travel frequency were the most significant factors before the implementation of bicycle-sharing systems. However, after implementation, access distance dramatically affects mode choices for first/last mile trips. When shared bicycles are available, the mode choices of middle-aged group depend mainly on gender and access distance. All factors are not significant for the young and aged groups. More than 80% of public transport travelers take walking and shared bicycles as feeder modes. The proposed models and findings contribute to a better understanding of travelers' choice behaviors and to the development of solutions for the first/last mile problem.

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Section: Literature Reviewmentioning

confidence: 98%

How Have Travelers Changed Mode Choices for First/Last Mile Trips after the Introduction of Bicycle-Sharing Systems: An Empirical Study in Beijing, China

Fan

Chen

Wan

2019

Journal of Advanced Transportation

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“…With respect to the study methods, comparison methods are usually made between bicycle usages in different conditions [24]. Saberi et al (2018) conducted a study on the impact of public transit disruption on bicycle-sharing mobility patterns using bicycling data from a tube strike that occurred in London, and they adopted a combined geo-statistical approach to explore the mobility patterns of bicycle-sharing interactions with public transit [18]. Zhao et al (2018) surveyed 307 bicycle users to probe how the cyclists would shift to transit in Beijing where air pollution was thought to be a problem [25].…”

Section: Data and Methods In Existing Studiesmentioning

confidence: 99%

“…Gordon-Koven et al (2014) suggested that dense bicycle-sharing networks influenced citizens to substitute bicycling for public transit [16], and Campbell et al (2017) found that every bicycle-sharing dock along New York bus routes was associated with a reduction in bus trips [17]. With respect to the relationship between bicycles and public transit systems, a disruption in London's tube service increased bicycle sharing trips by 85% and increased trip durations by 88% [18].…”

Section: Controversies Over Impacts Of Shared Bicycles On Public Transitmentioning

confidence: 99%

Competition and Cooperation between Shared Bicycles and Public Transit: A Case Study of Beijing

Jin

Wang

et al. 2019

Sustainability

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As an eco-friendly transportation mode, shared bicycles provide a new option for public transit users in urban areas. China’s bicycle-sharing market began flourishing in July 2016 and reached a plateau in 2017. How shared bicycles influenced public transit systems during this period is an interesting topic. A case study of Beijing is conducted. This study aims to identify the competitive and cooperative influences of shared bicycles on public transit by exploring the changes in public transit trip distances before and after the upsurge in bicycle-sharing. A histogram shifting method is introduced to examine the influences of shared bicycles on public transit services from a travel distance perspective. A spatial correlation of bicycling usage and public transit changes is calculated using units of gridded cell spaces. The results show: (1) overall transit usage continued growing after the shared bicycles market reached a plateau; (2) short public transits within 2 km decreased while transfers within 2 km increased; and (3) the decrease of short transits and increase of transfers within 3 km were spatially highly correlated to the usage of shared bicycles. Hence, the role of bicycle-sharing systems is competitive for existing public transit systems during short trips and cooperative for connecting transits.

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“…Previous studies in the literature found that, in general, bikesharing is associated with public transit ridership [23][24][25]. However, the interdependencies between public transit usage and bikesharing behaviors have been mixed and have not been fully understood.…”

Section: Introductionmentioning

confidence: 99%

“…However, it remains unclear how bikesharing is associated with public transit usage. Previous studies used the data from particular cities or systems [23][24][25] to understand the associations between bikesharing and public transit usage, and did not consider the characteristics of those who rarely or never used the bikesharing service. The objective of this research is to examine the associations between the frequency of public transit usage (FPTU, the number of times of respondent's public transit usage in the last 30 days) and probability of bikesharing usage (PBSU, whether the respondent has used at least once or never used bikesharing in the last 30 days) and frequency of bikesharing usage (FBSU, the number of times of respondent's bikesharing usage in the last 30 days) in the US using the 2017 National Household Travel Survey (NHTS) data, in which the respondents were asked how many times they had used public transit and bikesharing in the last 30 days.…”

Section: Introductionmentioning

confidence: 99%

Associations between Public Transit Usage and Bikesharing Behaviors in The United States

Zhang

2018

Sustainability

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Public bikesharing systems have rapidly expanded across many cities in the United States (US). Previous studies in the literature found that, in general, bikesharing is associated with public transit ridership. However, the interdependencies between public transit usage and bikesharing behaviors have been mixed and have not been fully understood. Therefore, the objective of this research is to examine the associations between the frequency of public transit usage and the probability and frequency of bikesharing usage in the US using data from the 2017 National Household Travel Survey. The respondents were asked how many times they had used public transit and bikesharing in the last 30 days. Zero-inflated negative binomial regression models were conducted to assess the associations between the frequency of public transit usage and the probability and frequency of bikesharing usage. The results show that, in general, a one-unit increase in the frequency of public transit usage is significantly associated with a 4.0% increase in the probability of bikesharing usage and a 1.4% increase in the frequency of bikesharing usage. The significantly positive relationship between the frequency of public transit usage and the frequency of bikesharing usage is more pronounced among those living in areas with higher population density or with rail service. The empirical results demonstrate that public transit usage is significantly positively associated with bikesharing usage, and suggest policy implications that improving public transit usage tends to increase the usage of bikesharing. This study also provides significant empirical evidence for the formulation of interventions and policies targeting to promote integrated transportation systems that support multimodal transportation and mutually sustainable transport networks.

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Understanding the impacts of a public transit disruption on bicycle sharing mobility patterns: A case of Tube strike in London

Cited by 127 publications

References 38 publications

How Have Travelers Changed Mode Choices for First/Last Mile Trips after the Introduction of Bicycle-Sharing Systems: An Empirical Study in Beijing, China

How Have Travelers Changed Mode Choices for First/Last Mile Trips after the Introduction of Bicycle-Sharing Systems: An Empirical Study in Beijing, China

Competition and Cooperation between Shared Bicycles and Public Transit: A Case Study of Beijing

Associations between Public Transit Usage and Bikesharing Behaviors in The United States

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