#streets — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #streets, aggregated by home.social.
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A map that combines `name:etymology:wikidata` tags from OpenStreetMap with Elo ratings from EloEverything to paint streets based on people's ratings #streets
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@crazyeddie @aworkinglibrary
It is probably about car dependency, car-centered areas. Like in the US where in many towns without a car one would struggle to do anything: getting to the grocery store, getting back from the store, reaching the other river bank as many bridges are motor vehicles only.People can’t live without cars in such places. Even food banks have huge lines of cars, four "lanes". Some homeless people drive cars as well. Imagine the closest grocery store being 1 hour walking distance away, and the weather may be extremely hot/cold.
Many such areas don’t even have sidewalks or anything for walking at all. At the same time so called "jay-walking" is prohibited by law. The term "jaywalking" actually was invented by the cars lobby in the early 20th century. https://en.wikipedia.org/wiki/Jaywalking
Moving around by walking is extremely inconvenient, dangerous, taking ridiculous amounts of time, basically incompatible with everyday activities.Also the parking lots, roads, intersections take up huge chunks of the city. Consider how much longer it takes to walk somewhere compared to what it could be without all these. Urban areas could look very different if they were human-centered and Points Of Interest were packed tightly.
And the bigger the city, the more space car infrastructure takes up. More lanes, wider intersections, parking lots can have up to many thousands spots, highways, freeways, interchanges of ridiculous sizes and shapes.
The topic is huge, what I mentioned is just the tip. Think of what you see around every day. Also all the noise. And danger it brings to everyone, not just drivers. The number of so called "accidents", another convenient term for the horrible things that happen everyday.
The areas which are pedestrian-friendly, bicycle friendly, have public transportation tend to have happier residents, more attraction points, more small businesses, more street life, way better air quality, less noise among other benefits.
Also social connections and interaction happen there and not on a 4-lane highway.#Cars #Car #City #Urban #Streets
#Cities #CarFree #Roads #CarDependancy #StreetLife #Safety #Bycicles #Walking #UrbanSprawl #OneMoreLane #InducedTraffic #PublicTransport #PublicTransit #Access #PublicTransportation #Accessibility #Accessible #PublicSpaces #Socialization #Capitalism #Subsidies #Lobbying #WordsMatter #History #CarsAreDangerous #FuckCars -
by Ondřej Trojan
https://tmblr.co/Z7VXvxjmleJ4iy00
#ondrej #documentary #ondřej #trojan #document #leica #abstraction #camera #monochrom #czech #bohemia #monochrome #street #black #shadow #people #leicam11 #artphoto #streets #light #urban #mono #bnw #dark #white #leicam #50 #mm #flickr #thingsdavidlikes
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Coupled Hydrological And Public Health Risks From Urban Flooding - Integrated Remote Sensing, Machine Learning, And Hydrodynamic–Ecological Modelling
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https://doi.org/10.1016/j.jhydrol.2026.135999 <-- shared paper
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https://youtu.be/VHzYLvSYR7k?si=5oGGPeH6T0dFusfY <-- recent overview video created about the research
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https://doi.org/10.1016/j.wroa.2025.100396 <-- share (earlier) paper
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H/T @RAHUL DEOPA | Research Scholar (IIT Roorkee)
“… [U]rban floods are not merely hydraulic events; they also transport sewage, pathogens, and other contaminants across streets and communities, leading to significant public health risks…
How do we quantify microbial contamination in near real time during a flood event, when emergency conditions make field sampling unsafe, sparse, or even impossible?...
[The authors] explored whether Earth observation data, combined with machine learning, could bridge this critical monitoring gap. By combining Landsat-derived water surface temperature, machine learning, a coupled MIKE+ Flood–ECO Lab hydrodynamic–ecological model, and Quantitative Microbial Risk Assessment (QMRA), [they] estimated microbial concentrations (𝘌. 𝘤𝘰𝘭𝘪), simulated their fate and transport during floods, and quantified the associated human health risks.
The takeaway: predicting flood risk isn't just about where the water goes; it's about what it's carrying and who it puts in harm's way. Earth observation and machine learning can help close that gap when it matters most, during the emergency, not weeks after…”
#publichealth #risk #hazard #watersecurity #Floodrisk #Humanhealthrisk #Urbanflooding #Hydrodynamicmodelling #waterquality #model #modeling #SupportVectorRegression #flood #flooding #urban #city #sewage #pathogens #contaminant #disease #streets #community #quantification #remotesensing #GIS #spatial #mapping #earthobservation #spatialanalysis #water #hydrology #climatechange #extremeweather #spatiotemporal #AI #machineleraning #fateandtransport #hydrodynamic #microbial #rainfall #drainage #streamflow #topography #hydrogeomorphology #Delhi #India #floodplain -
@shuro Моё наблюдение по теме: на доме могут быть таблички с названием улицы и номером дома, но это не обязательно означает, что та улица, по которой вы идёте, называется именно так. Дом может быть пронумерован по другой улице (перпендикулярной или с обратной стороны), а табличка повешена здесь. #navigation #streets #urbanism
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THE #latestnews AT THIS HOUR:
THIRD DAY OF #protests IN #ukraine : On #july 16 and 17, #ukrainians took to the #streets in #Kyiv and other cities following #president Zelenskyy’s decision to dismiss #defense #minister Mykhailo #Fedorov .
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Rue Franklin (Franklin Street)
Hyères, French Riviera#cityscape #hyeres #oldtown #frenchriviera #france #street #streets #oldbuildings #decoration #lane
#photography #colorphotography #photo #photos #streetphotography #cityscapephotography
#jlbouzou
