Visualizing aviation impacts: Modeling current and future flight trajectories with publicly available flight data

Li, Max Z.; Suh, Daniel; Ryerson, Megan S.

doi:10.1016/j.trd.2018.07.009

Cited by 11 publications

(5 citation statements)

References 32 publications

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“…As for the negative impacts, circles could thus be replaced with corridors based on actual three-dimensional pathways followed by airplanes on takeoffs and landings. Both commercial and publicly available flight traces have already been used (Li, Suh, and Ryerson 2018;Dobruszkes and Peeters 2019). Coverage in developing countries is currently partial, however.…”

Section: Discussionmentioning

confidence: 99%

You’re Surrounded! Measuring the Enclosure of Airports in Urban Areas

Grippa

Dobruszkes

2022

The Professional Geographer

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Section: Discussionmentioning

confidence: 99%

You’re Surrounded! Measuring the Enclosure of Airports in Urban Areas

Grippa

Dobruszkes

2022

The Professional Geographer

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“…For example, there is no single peer-reviewed publication on the topic of visualizations of employees' CO 2 emissions from business air travel. Instead, we found some works that were related but not very relevant, for example many publications aiming at visualizing flight trajectories and patterns of throughput and congestion, e.g., [55,56]. In the work reported in this paper, we are not focused on this body of work concerning various physical phenomena regarding commercial flights, such as noise and emission levels at departure and arrival at airports.…”

Section: Scoping Reviewmentioning

confidence: 93%

Exploring the Problem Space of CO2 Emission Reductions from Academic Flying

et al. 2021

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CO2 emissions from aviation have been predicted to increase over the coming decades. Within the academic world, flying is often perceived to be a necessary prerequisite to being a successful researcher. Many Swedish universities have ambitious climate goals, but are simultaneously among the top emitters in the public sector. Reaching stated climate goals could feasibly be met through a combination of measures, including decreased flying. One way to address the challenge is to support behavioural interventions with the help of interactive visualizations of CO2 emissions from flying. Those few examples that exist in the research literature are generally directed towards management and are less applicable to universities, given the large autonomy researchers enjoy and their discretionary control of research project funds. This paper uses a design-oriented research approach to present an analysis of the problem space at the intersection of interactive visualizations using air travel data to reduce CO2 emissions from business air travel at our own university, KTH Royal Institute of Technology. Through a number of design experiments, evaluations and investigations, we have unearthed needs, challenges and opportunities for the creation of visualization tools to support more sustainable travel practices at universities and in other knowledge-intensive organisations.

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“…Rainy weather, as well as relative humidity, reduces daily trips for both genders and for all ages ( Rabassa et al, 2020 ; An et al, 2019 ), while various user communities have different responses when they hear alerts ( Rabassa et al, 2020 ). Li et al (2018a) explored the relationship between air pollution and bike sharing choice using nested logit and mixed nested logit modes, which revealed significant negative impact of air pollution. The effects of local disturbances or special events were found to be non-negligible, which can cause an imbalance of bikes between supply and demand, such as during festivals and parades ( Younes et al, 2020 ).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Visualization is a powerful technique to capture characteristics of various things intuitively ( Huang and Sun, 2019 ; Li et al, 2018 ). This section explores bike sharing usage regularity across different spatial and temporal scales.…”

Section: Analysis Of Bike Sharing Patterns During the Covid-19 Pandemicmentioning

confidence: 99%