Screenshot of the abstract.
Citizen science projects are open to anyone contributing #data. Using a sample of 265 users, @dataandcrowd.bsky.social et al. statistically analyze edits to the mapping platform #OpenStreetMap to examine the impact of gender and age on spatial and temporal contribution patterns. buff.ly/G0TcE26
Original network on the left, simplified one on the right.
Diagram of the neatnet's workflow.
Image of face artifacts.
Ever needed to simplify street networks? I did. And it is a pain. So we wrote an algorithm that does that for us. And can do for you, as it is available as a Python package called `neatnet`.
Here's a short blog about it - martinfleischmann.net/simplificati... and package - uscuni.org/neatnet
Chart headed: Domestic transport emissions as proportion of all UK territorial greenhouse gas emissions, 1990-2023 Shows steady growth in proportion of GHG emissions that come from domestic transport over time. Driven largely by growth in proportion coming from domestic cars.
UK greenhouse gas emissions statistics for 2023 out today: www.gov.uk/government/s...
Graph shows proportion of territorial emissions from domestic transport, 1990-2023
In 1990 = c.16% (3rd highest emitting sector)
2023 = c.29% (1st)
Passenger cars = 16% of all emissions in 2023
🚨Publication🚨
How can #agentbasedmodelling #ABM help generate dynamic air pollution fields from hourly fixed-site monitors and simulate population movement with OD matrices, including weekend activities?
Read our #SESMO paper to find out: doi.org/10.18174/ses...
The study, published in the American Journal of Epidemiology, showed a strong connection between place and activity by studying about 11,000 twins, which helps control for family influences and genetic factors.
research.wsu.edu/news/more-de...
NEW STUDY: Car and truck tires are responsible for *one quarter* of all the microplastics in the environment.
www.plasticstoday.com/medical/tire...
Very interesting-looking new paper on whether and how much rail can reduce aviation emissions doi.org/10.1016/j.tr...
Very interesting-looking new article on car dependence led by an early-career researcher at our faculty doi.org/10.1080/0144...
Illustration showing rows in a dataframe getting grouped, then adding a new column
Illustration showing rows in a dataframe getting grouped, summarized, and ungrouped
Illustration showing rows in a dataframe getting grouped, summarized, and ungrouped
Note from the blog post showing links to download all these videos
More helpful (at least for me) resources from the blog archive: Seven (7!) tidyexplain-esque animations (downloadable and CC-licensed) showing how {dplyr}'s mutate(), summarize(), group_by(), and ungroup() all work together #rstats #dataskyence www.andrewheiss.com/blog/2024/04...
Title of a new peer-reviewed paper; The city-wide effects of tolling downtown drivers: Evidence from London’s congestion charge, Ian Herzog, November 2024, Journal of Urban Economics
Abstract: This paper studies effects of London’s Congestion Charge on regional traffic, commuting, and economic activity’s spatial distribution. London began tolling drivers into its central business district in 2003 and I find that the policy reduced traffic on untolled roads leading downtown. I build this effect into a quantitative model with heterogeneous skills, endogenous mode choice, and traffic externalities to examine effects on commuters. Simulations suggest that London’s Congestion Charge incentivizes driving to untolled workplaces and gives the region’s commuters positive net benefits. I also find that benefits are progressive because the policy reduces traffic where low-skill commuters live and work.
Congestion charging is good! 👇
www.sciencedirect.com/science/arti...
New arrival!
Outside compsci or engineering, it becomes harder to teach students new programming languages - so we stick with NetLogo and try to do good science.