Does technical efficiency play a mediating role between bus facility scale and ridership attraction? Evidence from bus practices in China

Yao, Di; Xu, Liqun; Li, Jinpei

doi:10.1016/j.tra.2019.11.002

Cited by 17 publications

(13 citation statements)

References 59 publications

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“…This is because the use of passenger kilometers would be associated with two shortcomings, one theoretical and one practical. First, passenger kilometers would be very much correlated with one of our model's inputs, i.e., vehicle kilometers, and thus our results would be biased in favor of the comparatively large bus PT operators [52]. Secondly, passenger kilometers is a variable that is less often reported by bus PT operators [53], and thus we would not be able to compile a critical sample of observations for our analysis.…”

Section: Production Modelmentioning

confidence: 99%

How Does Operational Environment Influence Public Transport Effectiveness? Evidence from European Urban Bus Operators

2020

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Public transport systems’ effectiveness is a well-recognized pillar of their sustainability. In this study, we employed order-m efficiency estimators to investigate the effectiveness of 57 bus public transport operators that provide services in both large and medium sized European cities. Their effectiveness was simulated through a tailored production model and was evaluated against critical exogenous variables, which were mostly extracted from Eurostat database. Results showed that the effectiveness of the examined operators is generally satisfactory. Our research suggests that certain exogenous factors significantly affect operators’ effectiveness and thus create either advantageous or disadvantageous operational environments for maintaining public transport sustainability. Among these factors, household size, unemployment and car ownership rates were found to be unfavorable to bus public transport operations. Contrary to them, the presence of university students and metro systems in cities create a favorable operational environment for bus public transport effectiveness. These findings assist in the identification of sustainable development policies that would both contribute to public transport sustainability and to the fulfillment of wider community goals. Our findings also rationalize benchmarking exercises in the public transport industry, since they enable fair performance comparisons between systems that seek to incorporate successful management practices to improve their sustainability.

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Section: Production Modelmentioning

confidence: 99%

How Does Operational Environment Influence Public Transport Effectiveness? Evidence from European Urban Bus Operators

2020

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“…On a macro level, analyzing the various factors in uencing transportation ridership is a signi cant challenge for transportation scientists and policymakers (Liu, 2019;Kim et al, 2023). Existing research has found that subway ridership levels in different contexts are associated with a variety of factors such as socio-economic and demographic characteristics, land use features, functional area attributes, and the impact of major emergencies (Yao, 2020). Taylor et al (2003) identi ed that these factors could be categorized into internal and external variables.…”

Section: Factors Affecting Transportation Ridershipmentioning

confidence: 99%

Urban Transport Dynamics During COVID-19: Examining Subway Ridership and Road Congestion Trends in Beijing Amidst Varied Built Environments

Cui,

Xue

2024

Preprint

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This study delves into the profound impact of the COVID-19 pandemic on subway ridership and road congestion in Beijing, with a specific focus on the moderating role of the built environment. Utilizing panel data regression models, our analysis encompasses the daily average subway ridership at 157 stations over 366 days, alongside corresponding average congestion indices. The study integrates a comprehensive set of variables including COVID-19 case numbers, public search trends, various emergency response levels, and control variables such as the density of work, residence, and entertainment tourism areas. Our findings reveal a significant downturn in subway ridership and a decrease in road congestion during the pandemic, with these effects being more pronounced in high-density residential and commercial areas. The study indicates that the built environment plays a crucial role in shaping travel patterns during such a public health crisis. Specifically, areas with high work and residential density experienced a substantial reduction in subway usage, while regions with elevated entertainment and tourism density witnessed an increase in private vehicle usage. The temporal analysis of the data presents further insights. The initial stages of the pandemic saw a steep decline in subway ridership, suggesting an immediate reaction to the outbreak and associated restrictions. As the pandemic progressed, there was evidence of gradual adaptation in travel behavior, with a slow recovery in subway ridership and changes in road congestion patterns. Moreover, the study highlights the varying impact of COVID-19 across different stages of the pandemic. In the early phase, stringent lockdown measures and high public fear significantly influenced mobility patterns. However, in the later stages, as the public adapted to the ‘new normal,’ there was a notable shift in travel preferences, with a gradual return to public transit and changes in congestion levels. Overall, this research provides comprehensive insights into how a global health crisis can reshape urban transportation dynamics. It underscores the necessity for adaptive urban planning and policy-making that can effectively respond to such unprecedented challenges, taking into consideration the diverse needs of different urban areas and stages of public health emergencies.

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“…Ideally, public transit ridership should increase if we aim towards sustainable cities [2]. Although bus services have been greatly improved by various measures, the number of passengers has not increased significantly [3], it has even declined in some places [4] [5].…”

Section: Introductionmentioning

confidence: 99%

“…Raising bus ridership in local bus services by improving attributes such as travel cost, comfort, and flexibility is not cost effective [14]. Bus ridership has not increased, on the contrary, it has decreased with the continuous growth of the scale of the bus in recent years in China [3]. It seems that traditional improvements may not be appropriate for the emerging challenges.…”

Section: Introductionmentioning

confidence: 99%

Shaping a New Level of Bus Service under a Novel Concept of Bus Interaction: A Meta-Review

Van-Huy¹,

Kikuchi²,

Hisashi³

2023

JTTs

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Public transport services, particularly bus services, play an important role in a sustainable transportation system. However, despite various efforts, bus ridership has decreased. The appearance of shared and on-demand vehicle services is one of the main reasons for this issue. In addition, bus tourism services have been successfully developed to meet the exigent needs of tourists. Therefore, a new level of daily bus service is necessary to adapt to the changing demands of customers. Bus interaction (BI) plays an important role in bus services. Nevertheless, the conventional concept of BI mainly refers to users, physical interaction, and safety, but it does not address non-users, non-physical interactions, service quality, and other aspects. This study aims to elaborate on a new concept of bus services. Based on this, we developed a theoretical framework for BI. A meta-analysis was then conducted to identify the achievements and untouched aspects. The results of this study provide three main contributions. First, an unprecedented novel concept of BI is defined, including 13 types of interactions. Second, a comprehensive theoretical framework of BI is established based on the relationships between eight sustainable bus system sub-aspects and 13 BI types. Third, based on the theoretical framework and findings of the reviewed studies, a common finding comprehensive framework of BI is completed, which is accompanied by 1) key findings of the 13 BI types, 2) conclusions of traffic conditions affecting BI research, 3) BI research gaps, and 4) 16 main suggestions for future BI research.

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Does technical efficiency play a mediating role between bus facility scale and ridership attraction? Evidence from bus practices in China

Cited by 17 publications

References 59 publications

How Does Operational Environment Influence Public Transport Effectiveness? Evidence from European Urban Bus Operators

How Does Operational Environment Influence Public Transport Effectiveness? Evidence from European Urban Bus Operators

Urban Transport Dynamics During COVID-19: Examining Subway Ridership and Road Congestion Trends in Beijing Amidst Varied Built Environments

Shaping a New Level of Bus Service under a Novel Concept of Bus Interaction: A Meta-Review

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