Results 31 to 40 of about 236 (160)
Exploring Dockless Bikeshare Usage: A Case Study of Beijing, China [PDF]
The rapid emergence of dockless bikeshare systems has had a considerable influence on individuals’ daily mobility patterns. However, information is still limited regarding the role that sociodemographics, social environments, travel attitudes and the built environment play on the adoption and usage of dockless bikeshare systems.
Zheyan Chen, Dea van Lierop, Dick Ettema
openaire +3 more sources
Bikesharing may have numerous urban health, sustainability, and mobility benefits. Bikesharing systems that do not require stations (i.e., “dockless,” or “free-floating” bikeshare) launched in North America in 2017.
Jana A. Hirsch +4 more
doaj +1 more source
Life cycle assessment to quantify the impact of technology improvements in bike‐sharing systems
Abstract The reduced environmental footprint of bicycle sharing systems (BSS) is one of the reasons for their rapid growth in popularity. BSS have evolved technologically, transitioning from smart dock systems to smart bicycle systems, and it is not clear if the increased use of electronics in BSS results in a net environmental benefit.
Ricardo Javier Bonilla‐Alicea +4 more
wiley +1 more source
The conditional permutation test for independence while controlling for confounders
Summary We propose a general new method, the conditional permutation test, for testing the conditional independence of variables X and Y given a potentially high dimensional random vector Z that may contain confounding factors. The test permutes entries of X non‐uniformly, to respect the existing dependence between X and Z and thus to account for the ...
Thomas B. Berrett +3 more
wiley +1 more source
Since the number of bicycles is critical to the sustainable development of dockless PBS, this research practiced the introduction of a machine learning approach to quantity management using OFO bike operation data in Shenzhen. First, two clustering algorithms were used to identify the bicycle gathering area, and the available bike number and ...
Qingfeng Zhou +3 more
wiley +1 more source
Impacts of COVID-19 on bike-share usage: The case of Daejeon, Korea
After COVID-19 began spreading through fecal-oral routes, crowded cities introduced social distancing policies. Mobility patterns in urban also changed because of the pandemic and the policies to reduce the infection of it.
Jisoo Sim
doaj +1 more source
Metro⁻bikeshare integration is considered a green and efficient travel model. To better develop such integration, it is necessary to monitor and analyze metro⁻bikeshare transfer characteristics.
Xinwei Ma, Yuchuan Jin, Mingjia He
doaj +1 more source
Pricing is one of the major factors that affects ridership and revenue of the bikeshare systems. This paper examines bikeshare users' sensitivity to changes in price and preferences on service by conducting an intercept survey at Capital Bikeshare (CaBi)
Shruthi Kaviti, Mohan M. Venigalla
doaj +1 more source
Optimal locations for bikeshare stations: A new GIS based spatial approach
This study identifies three new bike station locations for Baltimore City's bikeshare program using a location allocation spatial analysis tool. Over 1.6 million Global Positioning System (GPS) coordinates of bikeshare trips over a period of four months ...
Snehanshu Banerjee +3 more
doaj +1 more source
Use Frequency of Metro–Bikeshare Integration: Evidence from Nanjing, China [PDF]
Promoting a transition in individuals’ travel mode from car to an integrated metro and bikeshare systems is expected to effectively reduce the traffic congestion that results mainly from commute trips performed by individual automobiles. This paper focuses on the use frequency of an integrated metro–bikeshare by individuals, and presents empirical ...
Yang Liu +3 more
openaire +1 more source

