High-resolution assessment of environmental benefits of dockless bike-sharing systems based on transaction data

Li, Aoyong; Gao, Kun; Zhao, Pengxiang; Qu, Xiaobo; Axhausen, Kay W.

doi:10.1016/j.jclepro.2021.126423

Cited by 55 publications

(13 citation statements)

References 30 publications

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“…In recent years, shared micro-mobility services have attracted considerable attention in academic and industrial fields, which have proved to be able to facilitate alleviating traffic congestion and transport-related emissions ( Li et al, 2021 , McKenzie, 2020 , Milakis et al, 2020 , Wang and Zhou, 2017 , Zhang and Mi, 2018 ). Especially, with the rapid development of mobile computing and payment, micro-mobility services have been realized as effective alternatives to short- and medium-distance trips by public and private car transportation.…”

Section: Introductionmentioning

confidence: 99%

How did micro-mobility change in response to COVID-19 pandemic? A case study based on spatial-temporal-semantic analytics

Zhao

et al. 2021

Computers, Environment and Urban Systems

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100

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Cities worldwide adopted lockdown policies in response to the outbreak of coronavirus disease 2019 (COVID-19), significantly influencing people's travel behavior. In particular, micro-mobility, an emerging mode of urban transport, is profoundly shaped by this crisis. However, there is limited research devoted to understanding the rapidly evolving trip patterns of micro-mobility in response to COVID-19. To fill this gap, we analyze the changes in micro-mobility usage before and during the lockdown period exploiting high-resolution micro-mobility trip data collected in Zurich, Switzerland. Specifically, docked bike, docked e-bike, and dockless e-bike are evaluated and compared from the perspective of space, time and semantics. First, the spatial and temporal analysis results uncover that the number of trips decreased remarkably during the lockdown period. The striking difference between the normal and lockdown period is the decline in the peak hours of workdays. Second, the origin-destination flows are used to construct spatially embedded networks. The results suggest that the origin-destination pairs remain similar during the lockdown period, while the numbers of trips between each origin-destination pair is reduced due to COVID-19 pandemic. Finally, the semantic analysis is conducted to uncover the changes in trip purpose. It is revealed that the proportions of Home, Park, and Grocery activities increase, while the proportions of Leisure and Shopping activities decrease during the lockdown period. The above results can help planners and policymakers better make evidence-based policies regarding micro-mobility in the post-pandemic society.

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Section: Introductionmentioning

confidence: 99%

How did micro-mobility change in response to COVID-19 pandemic? A case study based on spatial-temporal-semantic analytics

Zhao

et al. 2021

Computers, Environment and Urban Systems

Self Cite

100

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“…Aiming to stimulate the taxi industry, the government had provided certain subsidies to drivers, but the subsidy method was slightly overcorrected, causing the phenomenon of oversupply in the market. Li et al (2021a , 2021b) analyzed the changes of micro-mobility usage before and during the pandemic. The patterns of docked bike, docked e-bike, and dockeless e-bike were analyzed and compared with each other.…”

Section: Literature Reviewmentioning

confidence: 99%

Understanding travel behavior adjustment under COVID-19

Yao¹,

Yu²,

Yang³

et al. 2022

Communications in Transportation Research

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“…In the prediction of hourly rental bike demand, the hour of the day, and temperature are the most influential variables. A. Li et al [25] Shanghai, China…”

Section: Survey Datamentioning

confidence: 99%

External Environmental Analysis for Sustainable Bike-Sharing System Development

Macioszek

Cieśla

2022

Energies

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The paper introduces a discussion regarding the development of a public bike-sharing system, considering random factors, based on selected external environmental analysis methods. The global energy crisis is forcing scientists to continuously improve energy-efficient sustainable methods and scientific solutions. It is particularly important in transportation since transport activities and the constant increase in the number of vehicles have a large share in global energy consumption. The following study investigates the social, technological, economic, environmental, and political aspects of bike-sharing systems in cities. The research purpose of the article is to select the most important macro-environmental factors and their mutual interaction influencing the sustainable development of bike-sharing systems based on the Polish cities case study. The evaluation was carried out through expert methods with STEEP environmental analysis, evaluation of factors with the weighted score, and structural analysis method with MICMAC computer application. The classification of key factors influencing the development of a bike-sharing system has divided them into five groups. It can support public transport service providers and organizers. This can optimize the planning process with decision-making based on future environmental trends.

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High-resolution assessment of environmental benefits of dockless bike-sharing systems based on transaction data

Cited by 55 publications

References 30 publications

How did micro-mobility change in response to COVID-19 pandemic? A case study based on spatial-temporal-semantic analytics

How did micro-mobility change in response to COVID-19 pandemic? A case study based on spatial-temporal-semantic analytics

Understanding travel behavior adjustment under COVID-19

External Environmental Analysis for Sustainable Bike-Sharing System Development

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