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Rui Xin, Linfang Ding, Bo Ai, Min Yang, Ruoxin Zhu, Bin Cao and Liqiu Meng
Bike-sharing data are an important data source to study urban mobility in the context of the coronavirus disease 2019 (COVID-19). However, studies that focus on different bike-sharing activities including both riding and rebalancing are sparse. This limi...
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Sun Chao and Lu Jian
This paper aims to investigate the internal mechanisms of bottlenecks in bike-sharing travel. We perform kernel density analysis to obtain analysis points and areas designated by buffer areas. Additionally, we improve the spatial lag model through Tobit ...
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Carlos Carrion and David Levinson
The underlying structure of road networks (e.g., circuity, relative discontinuity) contributes to the travel time perception of travelers. This study considers additional factors (e.g., arrival flexibility, access to traffic information) and tests nonlin...
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Peter Horbachov, Stanislav Svichynskyi
Modern approaches to the modeling of transport demand imply the use of calibration procedures during the origin-destination (O-D) matrix estimation or transit assignment. These procedures lead to misrepresenting generated and attracted trips or changing ...
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João de Abreu e Silva, Patricia C. Melo
This work analyzes the effects of home-based teleworking on the number of trips and weekly miles travelled by mode and purpose for one-worker households in Great Britain using data from the National Travel Survey for the period between 2005 and 2012. Two...
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Brett Williams, Elliot Martin, Timothy Lipman and Daniel Kammen
We report on the real-world use over the course of one year of a nickel-metal-hydride plug-in hybrid?the Toyota Plug-In HV?by a set of 12 northern California households able to charge at home and work. From vehicle use data, energy and greenhouse-emissio...
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