Bicycle-metro integration in a growing city: The determinants of cycling as a transfer mode in metro station areas in Beijing

Zhao, Pengfei; Li, Shengxiao

doi:10.1016/j.tra.2017.03.003

Cited by 140 publications

(155 citation statements)

References 54 publications

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“…More than 60% of trips by shared bicycles are for commuting. Research also suggests that individual and sociodemographic attributes and the built environment directly influence travel choices among bicycles, automobiles, and public transit [24]. The significant factors include trip distance, gender, automobile ownership, monthly income, and the length of exclusive bicycle lanes.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Moreover, the denser the urban environment (density of population and public transit network) is, the greater the number of travelers replacing public transit for shared bicycles is [32]. In summary, bicycleintegration strategies, including bicycle-railway [33], bicyclebus stations [34], and bicycle-metro stations [24,34], have been surveyed and demonstrated as significant ways to improve urban mobility and facilitate sustainable transportation. Travelers' choice behaviors have also been influenced by bicycle-sharing systems.…”

Section: Literature Reviewmentioning

confidence: 99%

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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: 99%

Section: Literature Reviewmentioning

confidence: 99%

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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“…Zhao and Li [11], Chen et al [38] and Mohanty and Blanchard [39] found that travel distance is one of the most important influential factors which determines the rates of cycling as a feeder mode to rail transit. The attributes of the cycling service at transit stations can heavily influence a cyclist's decision to choose a bicycle as a feeder mode as suggested by Pan et al [25].…”

Section: Determinants Of Bicycle-transit Integrationmentioning

confidence: 99%

“…The growth of bicycle-sharing systems has increased rapidly in recent years, and likely, has exceeded the growth of any other urban transportation mode [10]. After several decades of decline, a worldwide renaissance of cycling has occurred, and many experts have viewed this trend as an effective method of mitigating a variety of transportation problems caused by car dependence, including air pollution and traffic congestion [11]. Today, an estimated 1328 bicycle-sharing systems have been implemented, and approximately 405 bike-sharing schemes are in the planning phase or under construction worldwide; they account for approximately 12,970,100 bicycles according to the Bike-sharing World spatial regression models in the transportation field are also summarized in terms of their data type, model selection, dependent and independent variables, and model verification methods (including goodness-of-fit, and the spatial autocorrelation test).…”

Section: Introductionmentioning

confidence: 99%

Exploring Spatially Varying Influences on Metro-Bikeshare Transfer: A Geographically Weighted Poisson Regression Approach

Yang

et al. 2018

Sustainability

104

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Abstract:The primary objective of this study was to explore the factors that influence metro-bikeshare ridership from a spatial perspective. First, a reproducible method of identifying metro-bikeshare transfer trips was derived using two types of smart-card data (metro and bikeshare). Next, a geographically weighted Poisson regression (GWPR) model was established to explore the relationships between metro-bikeshare transfer volume and several types of independent variables, including sociodemographic, travel-related, and built-environment variables. Moran's I statistic was applied to examine the spatial autocorrelation of each explanatory variable. The modeling and spatial visualization results show that riding distance is negatively correlated with metro-bikeshare transfer demand, and the coefficient values are generally lower at the edge of the city, especially in underdeveloped areas. Moreover, the density of bus, bikeshare, and other metro stations within 2 km of a metro station has different impacts on metro-bikeshare transfer volume. Travelers whose origin or destination is entertainment related tend to choose bikeshare as a feeder mode to metro if this trip mode is available to them. These results improve our understanding of metro-bikeshare transfer spatial patterns, and several suggestions are provided for improving the integration between metro and bikeshare.

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“…The author assessed the attitude toward bicycle use and the perception of obstacles for using bicycle for different age groups of Jeddah city residents [2]. Another research was studied in Beijing, where the increasing city size and urban expansion were great challenges to cycling systems [3]. The sustainable awareness from various mass media sources and the general public was studied in Italy and found that some respondents overlap in perceiving of using bike in the city [4].…”

Section: Introductionmentioning

confidence: 99%

Design and analysis of sustainable paper bicycle

Sahroni

Nasution

2017

IOP Conf. Ser.: Earth Environ. Sci.

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Abstract. This paper presents the design of sustainable paper bicycle which describes the stage by stage in the production of paper bicycle. The objective of this project is to design a sustainable paper bicycles to be used for children under five years old. The design analysis emphasizes in screening method to ensure the design fulfil the safety purposes. The evaluation concept is presented in designing a sustainable paper bicycle to determine highest rating. Project methodology is proposed for developing a sustainable paper bicycle. Design analysis of pedal, front and rear wheel, seat, and handle were presented using AutoCAD software. The design optimization was performed to fulfil the safety factors by modifying the material size and dimension. Based on the design analysis results, it is found that the optimization results met the factor safety. As a result, a sustainable paper bicycle was proposed for children under five years old.

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Bicycle-metro integration in a growing city: The determinants of cycling as a transfer mode in metro station areas in Beijing

Cited by 140 publications

References 54 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

Exploring Spatially Varying Influences on Metro-Bikeshare Transfer: A Geographically Weighted Poisson Regression Approach

Design and analysis of sustainable paper bicycle

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