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#urbanmobility — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #urbanmobility, aggregated by home.social.

  1. Discover how IoT sensors are revolutionizing smart cities by tackling real-time urban traffic congestion. Learn how connected devices optimize traffic flow, reduce delays, and enhance commuter experiences.
    #IoTSolutions #SmartCities #TrafficManagement #UrbanMobility
    scitechsociety.com/how-iot-sen

  2. Urban Friction: The Split Between Planned Paths and Street Reality

    Some NYC cyclists are choosing busy streets over safe bike lanes, a trend seen in recent photos. Find out why and who is affected.

    #NYCBikes, #CyclingCulture, #UrbanMobility, #StreetArt, #BrianFinke

    newsletter.tf/nyc-cyclists-ign

  3. A new photo series shows cyclists in NYC deliberately riding on busy streets and highways instead of using the city's 1,000+ miles of bike lanes. This is a change from the DOT's plan for safe cycling.

    #NYCBikes, #CyclingCulture, #UrbanMobility, #StreetArt, #BrianFinke
    newsletter.tf/nyc-cyclists-ign

  4. DATE: May 15, 2026 at 08:00AM
    SOURCE: PSYPOST.ORG

    ** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
    -------------------------------------------------

    TITLE: Scientists just revealed a strange quirk in how we exit train stations

    URL: psypost.org/scientists-just-re

    An analysis of data collected by a pedestrian tracking system at the Eindhoven Centraal Railway Station in the Netherlands found that, after exiting a train, individuals tend to follow the same walking path as the person directly in front of them. This happens even when they do not know that person and even when such a choice leads to a longer travel time. The research was published in the *Proceedings of the National Academy of Sciences*.

    When walking in crowded spaces such as busy streets, train or bus stations, airports, or mass gatherings, people generally try to reach their destination while avoiding obstacles, delays, collisions, and discomfort. Their route is shaped by physical features such as walls, doors, stairs, kiosks, corridors, signs, and bottlenecks. They also respond to crowd density, often avoiding areas that look too congested or slow.

    Walking paths are likely influenced by perceived travel time, not only by actual distance, because a shorter route may feel worse if it is crowded. Also, being in a crowd forces people to continuously adjust their speed and direction in response to others moving around them. In such situations, they often follow visible flows of pedestrians because other people’s movement gives information about where a usable path may be. Social groups, such as friends or family members, also shape walking paths because members tend to stay together and follow the same route.

    Study author Ziqi Wang and his colleagues used a large-scale, high-resolution dataset of pedestrian paths collected at tracks 3 and 4 of Eindhoven Centraal Railway Station using an advanced overhead pedestrian tracking system based on 3D stereoscopic imaging.

    These sensors covered about 1400 m2 of the station, capturing data at 10 frames per second using overhead depth sensing without recording identifiable images of pedestrians. The system also provided very high spatial resolution, being able to detect changes of around 1 millimeter. In total, between March 2021 and March 2024, the system captured over 30 million pedestrian movement trajectories. This included people disembarking from the trains and the people already present on the platform.

    In this analysis, the study authors focused on a subset of pedestrian trajectories where individuals, after getting off a train, had to choose between taking a direct, shorter path to the exit and a longer path that involved circumventing a kiosk in the middle of the platform. The authors analyzed the paths of passengers who exited the train from three specific door zones, including approximately 100,000 passengers.

    To ensure they were studying the interactions between strangers rather than people traveling together, the researchers developed a mathematical algorithm to detect social groups. This system analyzed how close people were to each other, how much they matched each other’s speed, and if they moved in the same direction. Once these groups were identified and filtered out, the researchers could focus solely on independent pedestrians.

    For each passenger included in the analysis, the study authors recorded their choice of route after exiting the train and the relative order in which they exited. This allowed them to study how individuals and crowds decide what path to take in the presence of congestion, differences in how the space is organized, and how local social dynamics—especially among strangers—affect those choices.

    The results showed that, after exiting the train, passengers demonstrated a strong tendency to follow the same path as the person directly in front of them. This “stranger-following effect” happened even in the absence of any social ties, and even when following the stranger led to a longer travel time.

    The study authors note that this tendency creates “avalanches” of choices, where sequences of people make identical decisions about their walking paths in succession, leading to strong patterns in collective movement.

    To confirm these findings, the researchers built a theoretical routing model to simulate pedestrian behavior. They tested various factors, such as the natural randomness of walking speeds and the tendency of people to follow the majority (herding). However, they found that only by including the “stranger-following effect” could the model accurately reproduce the real-world patterns observed at the station. This indicates that local imitation behavior is the dominant driver of collective route choices in this scenario.

    “These findings highlight how brief, low-level interactions between strangers can scale up to influence large-scale pedestrian movement, with strong implications for crowd management, urban design, and the broader understanding of social behavior in public spaces,” the study authors concluded.

    The study contributes to the scientific understanding of how people choose their paths in crowded areas. However, it should be noted that the study was based on data concerning the movements of passengers exiting trains at three relatively fixed positions and moving towards the station exit. This situation greatly simplified and constrained the routing choices people could make. Results in environments with wider routing and end-goal options might differ.

    The paper, “Avalanches of choice: how stranger-to-stranger interactions shape crowd dynamics,” was authored by Ziqi Wang, Alessandro Gabbana, and Federico Toschi.

    URL: psypost.org/scientists-just-re

    -------------------------------------------------

    DAILY EMAIL DIGEST: Email [email protected] -- no subject or message needed.

    Private, vetted email list for mental health professionals: clinicians-exchange.org

    Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot

    NYU Information for Practice puts out 400-500 good quality health-related research posts per week but its too much for many people, so that bot is limited to just subscribers. You can read it or subscribe at @PsychResearchBot

    Since 1991 The National Psychologist has focused on keeping practicing psychologists current with news, information and items of interest. Check them out for more free articles, resources, and subscription information: nationalpsychologist.com

    EMAIL DAILY DIGEST OF RSS FEEDS -- SUBSCRIBE: subscribe-article-digests.clin

    READ ONLINE: read-the-rss-mega-archive.clin

    It's primitive... but it works... mostly...

    -------------------------------------------------

    #psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #StrangerFollowing #PedestrianDynamics #CrowdBehavior #UrbanMobility #CrowdManagement #PedestrianTraffic #AvalanchesOfChoice #SocialImitation #InstituteOfScience #PublicSpaceDesign

  5. DATE: May 15, 2026 at 08:00AM
    SOURCE: PSYPOST.ORG

    ** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
    -------------------------------------------------

    TITLE: Scientists just revealed a strange quirk in how we exit train stations

    URL: psypost.org/scientists-just-re

    An analysis of data collected by a pedestrian tracking system at the Eindhoven Centraal Railway Station in the Netherlands found that, after exiting a train, individuals tend to follow the same walking path as the person directly in front of them. This happens even when they do not know that person and even when such a choice leads to a longer travel time. The research was published in the *Proceedings of the National Academy of Sciences*.

    When walking in crowded spaces such as busy streets, train or bus stations, airports, or mass gatherings, people generally try to reach their destination while avoiding obstacles, delays, collisions, and discomfort. Their route is shaped by physical features such as walls, doors, stairs, kiosks, corridors, signs, and bottlenecks. They also respond to crowd density, often avoiding areas that look too congested or slow.

    Walking paths are likely influenced by perceived travel time, not only by actual distance, because a shorter route may feel worse if it is crowded. Also, being in a crowd forces people to continuously adjust their speed and direction in response to others moving around them. In such situations, they often follow visible flows of pedestrians because other people’s movement gives information about where a usable path may be. Social groups, such as friends or family members, also shape walking paths because members tend to stay together and follow the same route.

    Study author Ziqi Wang and his colleagues used a large-scale, high-resolution dataset of pedestrian paths collected at tracks 3 and 4 of Eindhoven Centraal Railway Station using an advanced overhead pedestrian tracking system based on 3D stereoscopic imaging.

    These sensors covered about 1400 m2 of the station, capturing data at 10 frames per second using overhead depth sensing without recording identifiable images of pedestrians. The system also provided very high spatial resolution, being able to detect changes of around 1 millimeter. In total, between March 2021 and March 2024, the system captured over 30 million pedestrian movement trajectories. This included people disembarking from the trains and the people already present on the platform.

    In this analysis, the study authors focused on a subset of pedestrian trajectories where individuals, after getting off a train, had to choose between taking a direct, shorter path to the exit and a longer path that involved circumventing a kiosk in the middle of the platform. The authors analyzed the paths of passengers who exited the train from three specific door zones, including approximately 100,000 passengers.

    To ensure they were studying the interactions between strangers rather than people traveling together, the researchers developed a mathematical algorithm to detect social groups. This system analyzed how close people were to each other, how much they matched each other’s speed, and if they moved in the same direction. Once these groups were identified and filtered out, the researchers could focus solely on independent pedestrians.

    For each passenger included in the analysis, the study authors recorded their choice of route after exiting the train and the relative order in which they exited. This allowed them to study how individuals and crowds decide what path to take in the presence of congestion, differences in how the space is organized, and how local social dynamics—especially among strangers—affect those choices.

    The results showed that, after exiting the train, passengers demonstrated a strong tendency to follow the same path as the person directly in front of them. This “stranger-following effect” happened even in the absence of any social ties, and even when following the stranger led to a longer travel time.

    The study authors note that this tendency creates “avalanches” of choices, where sequences of people make identical decisions about their walking paths in succession, leading to strong patterns in collective movement.

    To confirm these findings, the researchers built a theoretical routing model to simulate pedestrian behavior. They tested various factors, such as the natural randomness of walking speeds and the tendency of people to follow the majority (herding). However, they found that only by including the “stranger-following effect” could the model accurately reproduce the real-world patterns observed at the station. This indicates that local imitation behavior is the dominant driver of collective route choices in this scenario.

    “These findings highlight how brief, low-level interactions between strangers can scale up to influence large-scale pedestrian movement, with strong implications for crowd management, urban design, and the broader understanding of social behavior in public spaces,” the study authors concluded.

    The study contributes to the scientific understanding of how people choose their paths in crowded areas. However, it should be noted that the study was based on data concerning the movements of passengers exiting trains at three relatively fixed positions and moving towards the station exit. This situation greatly simplified and constrained the routing choices people could make. Results in environments with wider routing and end-goal options might differ.

    The paper, “Avalanches of choice: how stranger-to-stranger interactions shape crowd dynamics,” was authored by Ziqi Wang, Alessandro Gabbana, and Federico Toschi.

    URL: psypost.org/scientists-just-re

    -------------------------------------------------

    DAILY EMAIL DIGEST: Email [email protected] -- no subject or message needed.

    Private, vetted email list for mental health professionals: clinicians-exchange.org

    Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot

    NYU Information for Practice puts out 400-500 good quality health-related research posts per week but its too much for many people, so that bot is limited to just subscribers. You can read it or subscribe at @PsychResearchBot

    Since 1991 The National Psychologist has focused on keeping practicing psychologists current with news, information and items of interest. Check them out for more free articles, resources, and subscription information: nationalpsychologist.com

    EMAIL DAILY DIGEST OF RSS FEEDS -- SUBSCRIBE: subscribe-article-digests.clin

    READ ONLINE: read-the-rss-mega-archive.clin

    It's primitive... but it works... mostly...

    -------------------------------------------------

    #psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #StrangerFollowing #PedestrianDynamics #CrowdBehavior #UrbanMobility #CrowdManagement #PedestrianTraffic #AvalanchesOfChoice #SocialImitation #InstituteOfScience #PublicSpaceDesign

  6. DATE: May 15, 2026 at 08:00AM
    SOURCE: PSYPOST.ORG

    ** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
    -------------------------------------------------

    TITLE: Scientists just revealed a strange quirk in how we exit train stations

    URL: psypost.org/scientists-just-re

    An analysis of data collected by a pedestrian tracking system at the Eindhoven Centraal Railway Station in the Netherlands found that, after exiting a train, individuals tend to follow the same walking path as the person directly in front of them. This happens even when they do not know that person and even when such a choice leads to a longer travel time. The research was published in the *Proceedings of the National Academy of Sciences*.

    When walking in crowded spaces such as busy streets, train or bus stations, airports, or mass gatherings, people generally try to reach their destination while avoiding obstacles, delays, collisions, and discomfort. Their route is shaped by physical features such as walls, doors, stairs, kiosks, corridors, signs, and bottlenecks. They also respond to crowd density, often avoiding areas that look too congested or slow.

    Walking paths are likely influenced by perceived travel time, not only by actual distance, because a shorter route may feel worse if it is crowded. Also, being in a crowd forces people to continuously adjust their speed and direction in response to others moving around them. In such situations, they often follow visible flows of pedestrians because other people’s movement gives information about where a usable path may be. Social groups, such as friends or family members, also shape walking paths because members tend to stay together and follow the same route.

    Study author Ziqi Wang and his colleagues used a large-scale, high-resolution dataset of pedestrian paths collected at tracks 3 and 4 of Eindhoven Centraal Railway Station using an advanced overhead pedestrian tracking system based on 3D stereoscopic imaging.

    These sensors covered about 1400 m2 of the station, capturing data at 10 frames per second using overhead depth sensing without recording identifiable images of pedestrians. The system also provided very high spatial resolution, being able to detect changes of around 1 millimeter. In total, between March 2021 and March 2024, the system captured over 30 million pedestrian movement trajectories. This included people disembarking from the trains and the people already present on the platform.

    In this analysis, the study authors focused on a subset of pedestrian trajectories where individuals, after getting off a train, had to choose between taking a direct, shorter path to the exit and a longer path that involved circumventing a kiosk in the middle of the platform. The authors analyzed the paths of passengers who exited the train from three specific door zones, including approximately 100,000 passengers.

    To ensure they were studying the interactions between strangers rather than people traveling together, the researchers developed a mathematical algorithm to detect social groups. This system analyzed how close people were to each other, how much they matched each other’s speed, and if they moved in the same direction. Once these groups were identified and filtered out, the researchers could focus solely on independent pedestrians.

    For each passenger included in the analysis, the study authors recorded their choice of route after exiting the train and the relative order in which they exited. This allowed them to study how individuals and crowds decide what path to take in the presence of congestion, differences in how the space is organized, and how local social dynamics—especially among strangers—affect those choices.

    The results showed that, after exiting the train, passengers demonstrated a strong tendency to follow the same path as the person directly in front of them. This “stranger-following effect” happened even in the absence of any social ties, and even when following the stranger led to a longer travel time.

    The study authors note that this tendency creates “avalanches” of choices, where sequences of people make identical decisions about their walking paths in succession, leading to strong patterns in collective movement.

    To confirm these findings, the researchers built a theoretical routing model to simulate pedestrian behavior. They tested various factors, such as the natural randomness of walking speeds and the tendency of people to follow the majority (herding). However, they found that only by including the “stranger-following effect” could the model accurately reproduce the real-world patterns observed at the station. This indicates that local imitation behavior is the dominant driver of collective route choices in this scenario.

    “These findings highlight how brief, low-level interactions between strangers can scale up to influence large-scale pedestrian movement, with strong implications for crowd management, urban design, and the broader understanding of social behavior in public spaces,” the study authors concluded.

    The study contributes to the scientific understanding of how people choose their paths in crowded areas. However, it should be noted that the study was based on data concerning the movements of passengers exiting trains at three relatively fixed positions and moving towards the station exit. This situation greatly simplified and constrained the routing choices people could make. Results in environments with wider routing and end-goal options might differ.

    The paper, “Avalanches of choice: how stranger-to-stranger interactions shape crowd dynamics,” was authored by Ziqi Wang, Alessandro Gabbana, and Federico Toschi.

    URL: psypost.org/scientists-just-re

    -------------------------------------------------

    DAILY EMAIL DIGEST: Email [email protected] -- no subject or message needed.

    Private, vetted email list for mental health professionals: clinicians-exchange.org

    Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot

    NYU Information for Practice puts out 400-500 good quality health-related research posts per week but its too much for many people, so that bot is limited to just subscribers. You can read it or subscribe at @PsychResearchBot

    Since 1991 The National Psychologist has focused on keeping practicing psychologists current with news, information and items of interest. Check them out for more free articles, resources, and subscription information: nationalpsychologist.com

    EMAIL DAILY DIGEST OF RSS FEEDS -- SUBSCRIBE: subscribe-article-digests.clin

    READ ONLINE: read-the-rss-mega-archive.clin

    It's primitive... but it works... mostly...

    -------------------------------------------------

    #psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #StrangerFollowing #PedestrianDynamics #CrowdBehavior #UrbanMobility #CrowdManagement #PedestrianTraffic #AvalanchesOfChoice #SocialImitation #InstituteOfScience #PublicSpaceDesign

  7. Electric air taxis taking off from Manhattan for airport trips feels like one of those stories that instantly sounds futuristic and strangely inevitable at the same time.
    The bigger question is not whether it is possible anymore it is who it will really be for.
    #ElectricAirTaxi #NewYork #UrbanMobility

  8. Traffic jams are a problem in large urban areas. How can they be solved without expanding the road network? This is a challenge that researchers are attempting to address.

    🚗 actu.epfl.ch/news/drones-and-a

    #EPFL #UrbanMobility

  9. Traffic jams are a problem in large urban areas. How can they be solved without expanding the road network? This is a challenge that researchers are attempting to address.

    🚗 actu.epfl.ch/news/drones-and-a

    #EPFL #UrbanMobility

  10. Traffic jams are a problem in large urban areas. How can they be solved without expanding the road network? This is a challenge that researchers are attempting to address.

    🚗 actu.epfl.ch/news/drones-and-a

    #EPFL #UrbanMobility

  11. Traffic jams are a problem in large urban areas. How can they be solved without expanding the road network? This is a challenge that researchers are attempting to address.

    🚗 actu.epfl.ch/news/drones-and-a

    #EPFL #UrbanMobility

  12. Traffic jams are a problem in large urban areas. How can they be solved without expanding the road network? This is a challenge that researchers are attempting to address.

    🚗 actu.epfl.ch/news/drones-and-a

    #EPFL #UrbanMobility

  13. 🗺️𝗠𝗮𝗽 𝗼𝗳 𝘁𝗵𝗲 𝗠𝗼𝗻𝘁𝗵 – 𝗦𝗹𝗼𝗽𝗲 𝗼𝗳 𝗕𝗶𝗸𝗲𝗮𝗯𝗹𝗲 𝗣𝗮𝘁𝗵𝘀 𝗶𝗻 𝗭𝘂𝗿𝗶𝗰𝗵, 𝗦𝘄𝗶𝘁𝘇𝗲𝗿𝗹𝗮𝗻𝗱

    Urban cycling depends also on the terrain. This map shows the slope of bike paths in Zurich, using #OpenStreetMap and elevation data. This shows where action might be needed to make urban mobility more inclusive and accessible.

    More bikeability assessments on the Climate Action Navigator: climate-action.heigit.org/

    #opendata #cycling #urbanmobility #climateaction

  14. 🗺️𝗠𝗮𝗽 𝗼𝗳 𝘁𝗵𝗲 𝗠𝗼𝗻𝘁𝗵 – 𝗦𝗹𝗼𝗽𝗲 𝗼𝗳 𝗕𝗶𝗸𝗲𝗮𝗯𝗹𝗲 𝗣𝗮𝘁𝗵𝘀 𝗶𝗻 𝗭𝘂𝗿𝗶𝗰𝗵, 𝗦𝘄𝗶𝘁𝘇𝗲𝗿𝗹𝗮𝗻𝗱

    Urban cycling depends also on the terrain. This map shows the slope of bike paths in Zurich, using #OpenStreetMap and elevation data. This shows where action might be needed to make urban mobility more inclusive and accessible.

    More bikeability assessments on the Climate Action Navigator: climate-action.heigit.org/

    #opendata #cycling #urbanmobility #climateaction

  15. 🗺️𝗠𝗮𝗽 𝗼𝗳 𝘁𝗵𝗲 𝗠𝗼𝗻𝘁𝗵 – 𝗦𝗹𝗼𝗽𝗲 𝗼𝗳 𝗕𝗶𝗸𝗲𝗮𝗯𝗹𝗲 𝗣𝗮𝘁𝗵𝘀 𝗶𝗻 𝗭𝘂𝗿𝗶𝗰𝗵, 𝗦𝘄𝗶𝘁𝘇𝗲𝗿𝗹𝗮𝗻𝗱

    Urban cycling depends also on the terrain. This map shows the slope of bike paths in Zurich, using #OpenStreetMap and elevation data. This shows where action might be needed to make urban mobility more inclusive and accessible.

    More bikeability assessments on the Climate Action Navigator: climate-action.heigit.org/

    #opendata #cycling #urbanmobility #climateaction

  16. 🗺️𝗠𝗮𝗽 𝗼𝗳 𝘁𝗵𝗲 𝗠𝗼𝗻𝘁𝗵 – 𝗦𝗹𝗼𝗽𝗲 𝗼𝗳 𝗕𝗶𝗸𝗲𝗮𝗯𝗹𝗲 𝗣𝗮𝘁𝗵𝘀 𝗶𝗻 𝗭𝘂𝗿𝗶𝗰𝗵, 𝗦𝘄𝗶𝘁𝘇𝗲𝗿𝗹𝗮𝗻𝗱

    Urban cycling depends also on the terrain. This map shows the slope of bike paths in Zurich, using #OpenStreetMap and elevation data. This shows where action might be needed to make urban mobility more inclusive and accessible.

    More bikeability assessments on the Climate Action Navigator: climate-action.heigit.org/

    #opendata #cycling #urbanmobility #climateaction

  17. 🗺️𝗠𝗮𝗽 𝗼𝗳 𝘁𝗵𝗲 𝗠𝗼𝗻𝘁𝗵 – 𝗦𝗹𝗼𝗽𝗲 𝗼𝗳 𝗕𝗶𝗸𝗲𝗮𝗯𝗹𝗲 𝗣𝗮𝘁𝗵𝘀 𝗶𝗻 𝗭𝘂𝗿𝗶𝗰𝗵, 𝗦𝘄𝗶𝘁𝘇𝗲𝗿𝗹𝗮𝗻𝗱

    Urban cycling depends also on the terrain. This map shows the slope of bike paths in Zurich, using #OpenStreetMap and elevation data. This shows where action might be needed to make urban mobility more inclusive and accessible.

    More bikeability assessments on the Climate Action Navigator: climate-action.heigit.org/

    #opendata #cycling #urbanmobility #climateaction

  18. ICYMI: JCDecaux acquires Tokyo taxi shelter operator VISTA COMMUNICATIONS: JCDecaux signed an agreement on March 30, 2026 to acquire VISTA COMMUNICATIONS Inc., adding 29 taxi shelters and 58 advertising faces in Tokyo to MCDecaux. ppc.land/jcdecaux-acquires-tok #JCDecaux #VISTAcommunications #Tokyo #Advertising #UrbanMobility

  19. ICYMI: JCDecaux acquires Tokyo taxi shelter operator VISTA COMMUNICATIONS: JCDecaux signed an agreement on March 30, 2026 to acquire VISTA COMMUNICATIONS Inc., adding 29 taxi shelters and 58 advertising faces in Tokyo to MCDecaux. ppc.land/jcdecaux-acquires-tok #JCDecaux #VISTAcommunications #Tokyo #Advertising #UrbanMobility

  20. ICYMI: JCDecaux acquires Tokyo taxi shelter operator VISTA COMMUNICATIONS: JCDecaux signed an agreement on March 30, 2026 to acquire VISTA COMMUNICATIONS Inc., adding 29 taxi shelters and 58 advertising faces in Tokyo to MCDecaux. ppc.land/jcdecaux-acquires-tok #JCDecaux #VISTAcommunications #Tokyo #Advertising #UrbanMobility

  21. RE: mastodonczech.cz/@mestemnakole

    Slogan "Magistrála, YES cyclist!" od @sergiowct se nedaří moc rychle naplňovat. Odvážná řešení zůstávají na papíře a realizovaný výsledek si pak žádá odvážnější účastníky provozu. Víme ale z jiných měst, že když je vůle, tak se dá přerozdělit hlavní dopravní prostor ze dne na den.

    #magistralayescyclists #prague #dopracenakole #praguelife #urbanmobility

  22. RE: mastodonczech.cz/@mestemnakole

    Slogan "Magistrála, YES cyclist!" od @sergiowct se nedaří moc rychle naplňovat. Odvážná řešení zůstávají na papíře a realizovaný výsledek si pak žádá odvážnější účastníky provozu. Víme ale z jiných měst, že když je vůle, tak se dá přerozdělit hlavní dopravní prostor ze dne na den.

  23. RE: mastodonczech.cz/@mestemnakole

    Slogan "Magistrála, YES cyclist!" od @sergiowct se nedaří moc rychle naplňovat. Odvážná řešení zůstávají na papíře a realizovaný výsledek si pak žádá odvážnější účastníky provozu. Víme ale z jiných měst, že když je vůle, tak se dá přerozdělit hlavní dopravní prostor ze dne na den.

    #magistralayescyclists #prague #dopracenakole #praguelife #urbanmobility

  24. Seems urban cable 🚡 cars are more popular than I thought 🤔. Pretty neat.
    #cablecar #UrbanMobility

  25. Seems urban cable 🚡 cars are more popular than I thought 🤔. Pretty neat.
    #cablecar #UrbanMobility

  26. Seems urban cable 🚡 cars are more popular than I thought 🤔. Pretty neat.
    #cablecar #UrbanMobility

  27. Seems urban cable 🚡 cars are more popular than I thought 🤔. Pretty neat.
    #cablecar #UrbanMobility

  28. Seems urban cable 🚡 cars are more popular than I thought 🤔. Pretty neat.
    #cablecar #UrbanMobility