Weather and cycling: Mining big data to have an in-depth understanding of the association of weather variability with cycling on an off-road trail and an on-road bike lane

Zhao, Jingya; Wang, Jian; Xing, Zhaomin; Luan, Xiaojin; Yang, Jiaji

doi:10.1016/j.tra.2018.03.001

Cited by 38 publications

(29 citation statements)

References 22 publications

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“…While the National Oceanic and Atmospheric Administration (NOAA) is believed to provide more reliable weather information, available data sets contain information only on daily maximum temperature, minimum temperature, and precipitation. The Weather Underground network, used for this study, provides hourly accounts of temperature, precipitation, humidity and wind speed, and it has been extensively used by researchers for examining the impacts of weather on transit activities [53][54][55][56].…”

Section: Description Of Simulation Toolsmentioning

confidence: 99%

Nature-Based Designs to Mitigate Urban Heat: The Efficacy of Green Infrastructure Treatments in Portland, Oregon

2019

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Urban heat is a growing environmental concern in cities around the world. The urban heat island effect, combined with warming effects of climate change, is likely to cause an increase in the frequency and intensity of extreme heat events. Alterations to the physical, built environment are a viable option for mitigating urban heat, yet few studies provide systematic guidance to practitioners for adapting diverse land uses. In this study, we examine the use of green infrastructure treatments to evaluate changes in ambient temperatures across diverse land uses in the city of Portland, Oregon. We apply ENVI-met® microclimate modeling at the city-block scale specifically to determine what built environment characteristics are most associated with high temperatures, and the extent to which different physical designs reduce ambient temperature. The analysis included six green infrastructure interventions modeled across six different land-use types, and indicated the varying degrees to which approaches are effective. Results were inconsistent across landscapes, and showed that one mitigation solution alone would not significantly reduce extreme heat. These results can be used to develop targeted, climate- and landscape-specific cooling interventions for different land uses, which can help to inform and refine current guidance to achieve urban climate adaptation goals.

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Section: Description Of Simulation Toolsmentioning

confidence: 99%

Nature-Based Designs to Mitigate Urban Heat: The Efficacy of Green Infrastructure Treatments in Portland, Oregon

2019

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“…Big data from probe vehicles offers real-time speed data to manage traffic congestion and incident management (Brennan et al 2019). Research exploring how to mitigate biases, such as those related to various problems with spatial aggregation and self-dependency are needed (Abdel-Aty et al 2013;Zhao et al 2018).…”

Section: Literature Reviewmentioning

confidence: 99%

“…This response suggests that new methods for mitigating bias are still needed. Recent research shows that data fusion can leverage advantages of multiple data sources (Wagh et al 2013;Diao et al 2016), but few big data providers or practitioners currently use them-skill levels limit mitigation of bias (Zhao et al 2017).…”

Section: Interviewsmentioning

confidence: 99%

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Mitigating Bias in Big Data for Transportation

Griffin

Mulhall

Simek

et al. 2020

J. Big Data Anal. Transp.

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Emerging big data resources and practices provide opportunities to improve transportation safety planning and outcomes. However, researchers and practitioners recognise that big data from mobile phones, social media, and on-board vehicle systems include biases in representation and accuracy, related to transportation safety statistics. This study examines both the sources of bias and approaches to mitigate them through a review of published studies and interviews with experts. Coding of qualitative data enabled topical comparisons and reliability metrics. Results identify four categories of bias and mitigation approaches that concern transportation researchers and practitioners: sampling, measurement, demographics, and aggregation. This structure for understanding and working with bias in big data supports research with practical approaches for rapidly evolving transportation data sources.

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“…Weather is a pivotal factor in determining the system's functioning: due to a number of elements, e.g. rainfall (Zhao et al 2018) or uncomfortable air temperature, it may have an adverse impact on the number of bicycle rentals (Kim 2018). The popularity of public bicycles and the length of their use are also influenced by the number of available connections with other forms of urban transport (McBain, Caulfield 2017).…”

Section: The Bicycle-sharing System As An Innovation In the Urban Tramentioning

confidence: 99%

Urban Cycling as an Indicator of Socio-Economic Innovation and Sustainable Transport

Kwiatkowski

2018

Quaestiones Geographicae

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Environmental pollution in cities is an increasingly popular issue tackled in research. One of the elements with a significant impact on the state of urban ecosystems is transport with its pressure on individual components of the environment. Sustainable urban transport is gaining prominence as a postulate expressed in cities’ strategic documents, constituting an element alleviating the negative effects of anthropopressure. In the light of the need to introduce innovative solutions for clean forms of transport, numerous papers indicate the bicycle as an answer to some of those problems. The article presents a review of literature referring to the socio-economic aspects of using the bicycle in cities as a means of transport for daily commuting. The analysis is based on publications on cyclist safety in road traffic, the perception of the bicycle as a means of transport in cities, and the introduction of innovative solutions, such as bicycle-sharing systems.

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Weather and cycling: Mining big data to have an in-depth understanding of the association of weather variability with cycling on an off-road trail and an on-road bike lane

Cited by 38 publications

References 22 publications

Nature-Based Designs to Mitigate Urban Heat: The Efficacy of Green Infrastructure Treatments in Portland, Oregon

Nature-Based Designs to Mitigate Urban Heat: The Efficacy of Green Infrastructure Treatments in Portland, Oregon

Mitigating Bias in Big Data for Transportation

Urban Cycling as an Indicator of Socio-Economic Innovation and Sustainable Transport

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