Urban Mobility in Modern China

Zuev, Dennis

doi:10.1007/978-3-319-76590-7

Cited by 20 publications

(10 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The e-bike flourishes when it can take advantage of existing cycling infrastructures, such as cycle paths and bicycle parking facilities. According to road regulations in China and European coun- tries, e-bikes are categorized as non-motorized vehicles and are permitted on infrastructures designed for conventional bicycles (Jones et al, 2016;Zuev, 2018). Many Chinese, Dutch, Danish and German cities enjoy an extensive bicycle infrastructure system that provides favourable conditions for using e-bikes (Pucher and Buehler, 2017;Weiss et al, 2015).…”

Section: The Success or Failure Of E-bike From The Transitions Perspe...mentioning

confidence: 99%

“…In 2015 an estimated 40 million e-bikes were sold worldwide (Fishman and Cherry, 2016). China makes up approximately 90 per cent of the global market (Zuev, 2018), with annual sales exceeding 35 million units (Lin et al, 2017). In 2019 the Chinese e-bike fleet reached nearly 300 million (GOV.cn, 2019).…”

Section: Introductionmentioning

confidence: 99%

“…At the policy level, the electric car has received widespread governmental support across the world, which is in stark contrast to the few favourable policy interventions, or even disadvantageous regulations, for the e-bike. For example, in some Chinese cities e-bikes were banned due to road safety and traffic management considerations (Wells and Lin, 2015;Zuev, 2018). While electric cars do perform better than conventional cars when it comes to pollution and CO 2 emissions, they do not effectively tackle problems regarding congestion, excessive road and parking space, traffic safety, health risks related to inactive lifestyles, and so on.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Beyond market success: unpacking the societal implications of the e-bike

2022

Introduction to Innovations in Transport

View full text Add to dashboard Cite

Section: The Success or Failure Of E-bike From The Transitions Perspe...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Beyond market success: unpacking the societal implications of the e-bike

2022

Introduction to Innovations in Transport

View full text Add to dashboard Cite

“…Meanwhile, e-bike travel also combines the advantages of promoting personal physical fitness and well-being ( 8 ). Specifically, e-bike travel can benefit those who are unwilling to engage in physical activity (i.e., overweight, disabled, and elderly) by helping them achieve moderate vigorous of physical activity ( 9 , 10 ), which is known to support individual's social interaction ( 11 ) and mental health ( 8 ). Some studies have shown that e-bike travel improves metabolism ( 12 ), cardiovascular health ( 13 ) and allows riders to have lower level of perceived exercise and higher level of enjoyment ( 14 ).…”

Section: Introductionmentioning

confidence: 99%

Exploring built environment factors on e-bike travel behavior in urban China: A case study of Jinan

Jiang

Qiu

et al. 2022

Front. Public Health

View full text Add to dashboard Cite

E-bike, characterized as a low-carbon and health-beneficial active travel mode, is gradually becoming popular in China. Although built environment factors are considered to be key parameters that can facilitate or hinder active transportation, such as cycling or walking, few studies have explored the impact of built environment on e-bikes. To fill this gap, this study was the first to explore the relationship between e-bike usage and built environment factors based on population level travel survey in central Jinan, China. Both macro and micro levels of built environment were measured using multi-source data. We employed ordinary least squares (OLS) and geographically weighted regression (GWR) models to explore the aggregation patterns of e-bike trips. Besides, the local Moran's I was employed to classify the aggregation patterns of e-bike trips into four types. The results from OLS model showed that eye-level greenery, building floor area, road density and public service POI were positive significantly related to e-bike trips, while open sky index and NDVI had negative association with e-bike trips. The usage of GWR model provided more subtle results, which revealed significant spatial heterogeneity on the impacts of different built environment parameters. Road density and public service POI posed positive effects on e-bike travel while NDVI and open sky index were found mainly pose negative impacts on e-bike travel. Moreover, we found similar coefficient distribution patterns of eye-level greenery, building floor area and distance to bus stop. Therefore, tailored planning interventions and policies can be developed to facilitate e-bike travel and promote individual's health level.

show abstract

“…China is also the largest market for electric two-and three-wheelers, with a global market share of about 99% and a stock of 250 and 50 million respectively (IEA 2019). For a detailed assessment of two-wheelers in China, seeWells and Lin (2015) orZuev (2018).…”

mentioning

confidence: 99%

Determinants of Electric Vehicle Diffusion in China

Kalthaus

Sun

2021

Environ Resource Econ

View full text Add to dashboard Cite

We analyze the effect of four determinants of electric vehicle diffusion in China for a panel of 31 regions for the period 2010–2016. We analyze diffusion of four different electric vehicle types, namely battery electric cars and buses as well as plug-in hybrid electric cars and buses. System GMM panel estimation results show that total monetary subsidies have a positive effect only on the diffusion of battery electric cars. A closer look reveals that subsidies provided by regional governments are decisive for all types of vehicles but the subsidy provided by the central government and its degression over time dilute the overall effect of subsidies and is partly detrimental. Non-monetary ownership policies, such as license-plate lotteries, show a positive effect only for battery electric cars. Availability of public charging infrastructure increases diffusion of all vehicle types. Charging points are relevant for cars, while charging stations are especially decisive for the diffusion of electric buses. Using local environmental conditions as a novel determinant for the diffusion of electric vehicles reveals that the local air pollution influences the diffusion of buses, but not of cars.

show abstract

Urban Mobility in Modern China

Cited by 20 publications

References 0 publications

Beyond market success: unpacking the societal implications of the e-bike

Beyond market success: unpacking the societal implications of the e-bike

Exploring built environment factors on e-bike travel behavior in urban China: A case study of Jinan

Determinants of Electric Vehicle Diffusion in China

Contact Info

Product

Resources

About