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Was the Automotive Era a Terrible Mistake? | The New Yorker - 0 views

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    Combustion engines have helped create a climate crisis. The quest for oil has led our soldiers into war. And the road has become a setting for violent, systemic racism. Are cars worth it?
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The Green Book: The Black Travelers' Guide to Jim Crow America - History in the Headlines - 0 views

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    "During the height of segregation and Jim Crow, many African Americans owned copies of the "Negro Motorist Green Book," a guide that informed travelers of the safest places to eat, sleep or get a haircut when on the open road. The book was first published in 1936 by a Harlem postal worker, and it continued to be released in updated and expanded editions until the mid-1960s and the passage of the Civil Rights Act."
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#JeMarcheAvecToi | Altérité, Solidarité, Fraternité - 0 views

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    "JeMarcheAvecToi est une initiative citoyenne, spontanée et indépendante née dans l'élan de la marche du 11 janvier. Elle vise à soutenir tous ceux qui seraient victimes de stigmatisation et d'amalgames à cause de leur couleur, leur religion, leur langue ou leur look. Porter un badge / un autocollant #JeMarcheAvecToi, c'est inviter l'autre avant même qu'il le demande. C'est lui dire : « Si tu ne te sens pas de marcher seul, viens me voir, et je marche avec toi ». C'est affirmer l'existence d'une France solidaire, généreuse, fraternelle, où chacun, quel qu'il soit, a droit à une place au soleil."
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Stop Designing Bike-Friendly Cities Only for Wealthy White Cyclists - CityLab - 0 views

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    "But urban cycling investments tend to focus on the needs of wealthy riders and neglect lower-income residents and people of color. This happens even though the single biggest group of Americans who bike to work live in households that earn less than $10,000 yearly, and studies in lower-income neighborhoods in Brooklyn and Boston have found that the majority of bicyclists were non-white."
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Self-Driving Cars May Hit People With Darker Skin More Often - 0 views

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    "According to the researchers' paper, the models exhibited "uniformly poorer performance" when confronted with pedestrians with the three darkest shades on the scale. On average, the models' accuracy decreased by 5 percent when examining the group containing images of pedestrians with darker skin tones, even when the researchers accounted for variables such as whether the photo was taken during the day or at night."
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