𝗛𝗼𝘄 𝘄𝗲𝗹𝗹 𝗶𝘀 𝗮 𝗽𝗹𝗮𝗰𝗲 𝗰𝗼𝗻𝗻𝗲𝗰𝘁𝗲𝗱 𝘁𝗼 𝗽𝗵𝗮𝗿𝗺𝗮𝗰𝗶𝗲𝘀? 💊 Would you walk? 🚶♂️ Take public transport? 🚌 Let’s explore accessibility in 𝗙𝗮𝘀𝗮𝗻𝗲𝗿𝗶𝗲, 𝗠𝘂𝗻𝗶𝗰𝗵, by analyzing differences within a 20-minute radius using 𝗚𝗢𝗔𝗧’𝘀 𝗖𝗮𝘁𝗰𝗵𝗺𝗲𝗻𝘁 𝗔𝗿𝗲𝗮 𝗜𝗻𝗱𝗶𝗰𝗮𝘁𝗼𝗿. 😎 🎥 𝗪𝗮𝘁𝗰𝗵 𝗼𝘂𝗿 𝘃𝗶𝗱𝗲𝗼 to see how easy it is to visualize accessibility: ➔ Choose your mode of transport. ➔ Select your location. ➔ Instantly visualize how far you can travel—all in just a few clicks! 🔍 𝗖𝗵𝗼𝗼𝘀𝗲 𝗬𝗼𝘂𝗿 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗦𝘁𝘆𝗹𝗲: Polygons, networks, or hexagons—tailor your insights to match your analysis needs. 𝗪𝗵𝘆 𝗚𝗢𝗔𝗧? Our 𝗿𝗼𝘂𝘁𝗶𝗻𝗴 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻 makes use of high-quality datasets from #OpenStreetMap, #Overture, #GTFS, and Digital Elevation Models to provide reliable, real-world insights for urban planning and accessibility analysis. 𝗪𝗵𝗮𝘁 𝗔𝗿𝗲 𝗖𝗮𝘁𝗰𝗵𝗺𝗲𝗻𝘁 𝗔𝗿𝗲𝗮𝘀? Catchment areas define how far people can travel within a specific time or distance using various modes of transport. 𝗨𝘀𝗲 𝗰𝗮𝘀𝗲𝘀 𝗶𝗻𝗰𝗹𝘂𝗱𝗲: ✔️ Identifying which amenities are reachable in X-minutes. ✔️ Calculating the population with access to pharmacies, schools, or workplaces. ✔️ Comparing transport efficiency across walking, cycling, cars, or public transit. 📖 Dive deeper into Catchment Areas in GOAT Documentation: https://lnkd.in/dYPikvKf #UrbanPlanning #GIS #Accessibility #DataAnalysis #CatchmentAreas #GOATAnalysis
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NEW PAPER ALERT! 📢 🚶♂️ I'm happy to share our new paper "𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗻𝗴 𝘁𝗵𝗲 𝗿𝗲𝗹𝗮𝘁𝗶𝗼𝗻𝘀𝗵𝗶𝗽 𝗯𝗲𝘁𝘄𝗲𝗲𝗻 𝘄𝗮𝗹𝗸𝗶𝗻𝗴 𝗮𝗻𝗱 𝘀𝘁𝗿𝗲𝗲𝘁 𝗰𝗵𝗮𝗿𝗮𝗰𝘁𝗲𝗿𝗶𝘀𝘁𝗶𝗰𝘀 𝗯𝗮𝘀𝗲𝗱 𝗼𝗻 𝗯𝗶𝗴 𝗱𝗮𝘁𝗮 𝗮𝗻𝗱 𝗺𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀", published in "Cities". In short: We used Moovit app data to evaluate the relationship between #walking in the built environment and #street_characteristics using #machine_learning techniques. In more detail: This study utilizes machine learning techniques to scrutinize mobile-app data on pedestrian traffic alongside street characteristics. Tree-based algorithms are deployed to identify the association between walking volume and built environment features at the street-level, spanning distinct time periods. The pedestrian traffic data was gathered in Tel Aviv, Israel, while accounting for seasonal variations, weekdays, and time of day. Examining 20 street-level characteristics across 8000 segments furnishes new insights into the relative significance of various characteristics for walking, as well as street profiles linked to greater vs. lesser pedestrian activity. Notably, time variables emerge as crucial, with street features varying in importance across different time definitions. The study offers implications for decision-makers and urban planners by informing them of pedestrians’ behaviors and preferences at the street-level, facilitating more efficient infrastructure investments and supporting planning decisions. 𝗙𝗲𝗲𝗹 𝗳𝗿𝗲𝗲 𝘁𝗼 𝗮𝗰𝗰𝗲𝘀𝘀 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗽𝗮𝗽𝗲𝗿 𝗵𝗲𝗿𝗲: https://lnkd.in/diZqBwee Achituv Cohen, Trisalyn Nelson, Pnina Plaut
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Have you ever wondered how technology is transforming our understanding of urban landscapes? Discover the game-changing tool that's making waves: City Roads! 🌆✨ Key Insights: - **Visualization Redefined:** City Roads allows anyone to visualize the entire road network of any city at once. - **Data Accessibility:** It's a powerful example of how open data can be used to create meaningful insights and applications. - **Urban Planning Revolution:** This tool can aid urban planners, geographers, and enthusiasts in understanding city layouts more intuitively. Why This Matters: In an era where data visualization is becoming increasingly important, tools like City Roads are pushing the boundaries of how we perceive and interact with urban data. Imagine the implications for smart city projects and transportation planning! Your Thoughts: How could such a tool impact your industry or city planning initiatives? Share your thoughts or experiences in the comments below. Let's discuss the future of urban visualization! Feel inspired? Share this post with your network and let's spread the innovation! 🚀 #UrbanPlanning #DataVisualization #SmartCities #Innovation #TechForGood
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Starting from this month, with a monthly LinkedIn post, we introduce UrbView approach in Urban safety! Our 1st post is about #PartitioningBasedClustering. Ever wondered how we dissect urban landscapes to uncover hidden gems and trends? It's all thanks to Partitioning-Based Clustering! 🏙️✨ Partitioning-Based Clustering is a sophisticated data analysis technique that allows us to segment vast urban environments into meaningful clusters. But what does this mean for UrbView and our mission? Well, it means we can hierarchically characterize communities within cities, revealing intricate layers of activity and connectivity. 🧩💼 This powerful tool enables us to dive deep into the urban fabric, uncovering sub-regions based on critical factors like pedestrian flow, luminosity, and accessibility. 🚶♂️💡🛣️ At UrbView, we're leveraging Partitioning-Based Clustering to revolutionize urban analysis, providing invaluable insights for city planners, businesses, and communities alike. 🌆💡 Join us as we continue to decode the language of cities and unlock their hidden potential! 🔓✨ #UrbanAnalytics #DataScience #UrbViewInsights 🏙️📊
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How accessible are your local green spaces? In this guide, we utilize MAPOG's powerful isochrone mapping tools to evaluate and improve access to green spaces in urban areas. By integrating park location data with residential land use information, we generate isochrones to visualize the reach of existing green spaces based on travel time. This approach helps identify underserved areas and propose new park locations to enhance community access. MAPOG's seamless data integration and advanced visualization capabilities empower urban planners to create more equitable, healthy, and livable environments for all residents. Join us as we explore how isochrones can transform urban planning and green space accessibility. 📧 Need assistance? Reach out to support@mapog.com for personalized guidance. 🌐 Visit our website to learn more about our mapping solutions: https://lnkd.in/ddZNxPKK #GeoVisualization #GreenSpace #MAPOG #UrbanPlanning #GISAnalysis #SpatialData #Isochrones #UrbanDevelopment #DataIntegration #Geospatial #SmartCities #EnvironmentalPlanning #MappingTools #UrbanVisualization #SpatialUnderstanding #DataVisualization #MapDesign #UrbanInsights #GISMapping #PublicHealth #CommunityEngagement
Map to Improve Green Space Access With Isochrone Analysis
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How accessible are your local green spaces? In this guide, we utilize MAPOG's powerful isochrone mapping tools to evaluate and improve access to green spaces in urban areas. By integrating park location data with residential land use information, we generate isochrones to visualize the reach of existing green spaces based on travel time. This approach helps identify underserved areas and propose new park locations to enhance community access. MAPOG's seamless data integration and advanced visualization capabilities empower urban planners to create more equitable, healthy, and livable environments for all residents. Join us as we explore how isochrones can transform urban planning and green space accessibility. 📧 Need assistance? Reach out to support@mapog.com for personalized guidance. 🌐 Visit our website to learn more about our mapping solutions: https://lnkd.in/dtGVY9uA #GeoVisualization #GreenSpace #MAPOG #UrbanPlanning #GISAnalysis #SpatialData #Isochrones #UrbanDevelopment #DataIntegration #Geospatial #SmartCities #EnvironmentalPlanning #MappingTools #UrbanVisualization #SpatialUnderstanding #DataVisualization #MapDesign #UrbanInsights #GISMapping #PublicHealth #CommunityEngagement
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Urbanicity measures where an area falls on the urban-rural continuum. Understanding urbanicity can provide valuable insights into people's behaviors, shopping habits, and more. Here are 12 essential things to know about Esri’s newly released urbanicity data offering. https://ow.ly/vBJh30sISOJ #Urbanicity #EsriDemographics
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🌟 Archistar Partners with Neighbourlytics for a Game-Changing Integration! 🌟 We're thrilled to announce our partnership with Neighbourlytics, starting with the integration of their Activity Hotspots dataset into the Archistar platform. This layer shows where people spend time across neighborhoods, offering a sophisticated understanding of local dwell patterns nationwide. Here's why this is a game-changer for property developers: 1. Rich Insights: Combine Neighbourlytics' Activity Hotspots data with Archistar's planning database for deeper insights into urban dynamics, walkability, amenities popularity, and more. 2. Targeted Development: Use Neighbourlytics' data to target development projects aligned with local preferences and lifestyles, ensuring your projects resonate with the community. 3. Data-Driven Decisions: Make informed decisions backed by real-time data on activity hotspots, community behavior, and lifestyle trends. 4. Competitive Advantage: Gain a competitive edge with access to a unique lifestyle dataset that complements Archistar's planning tools, helping you identify opportunities and optimize project outcomes. Experience the power of data-driven insights with Neighbourlytics now live in the Archistar platform! Sign up or log in today: https://buff.ly/4dBMpZY Join us in shaping the future of property development and urban planning with data-driven precision! #analytics #neighbourlytics #data #insights #neighbourhoods #development
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Urbanicity measures where an area falls on the urban-rural continuum. Understanding urbanicity can provide valuable insights into people's behaviors, shopping habits, and more. Here are 12 essential things to know about Esri’s newly released urbanicity data offering. https://ow.ly/XEty30sIIKn #Urbanicity #EsriDemographics
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City planners, urban innovators, mayors, tourists, and citizens—feeling the heat from unexpected traffic jams and road construction? Summer’s supposed to be all about sweet vibes, but it often turns into a big sweaty mess. Video analytics brings a cool breeze to it, and here’s how: - 𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝 𝐓𝐫𝐚𝐟𝐟𝐢𝐜 𝐏𝐚𝐭𝐭𝐞𝐫𝐧𝐬: Get real-time insights into traffic and public transportation utilization. - 𝐌𝐞𝐚𝐬𝐮𝐫𝐞 𝐭𝐫𝐚𝐟𝐟𝐢𝐜 𝐟𝐥𝐨𝐰 𝐚𝐧𝐝 𝐯𝐞𝐡𝐢𝐜𝐥𝐞 𝐭𝐲𝐩𝐞𝐬 to anticipate road occupancy and adjust as needed. - 𝐒𝐩𝐨𝐭 𝐚𝐧𝐝 𝐥𝐨𝐜𝐚𝐭𝐞 𝐜𝐫𝐨𝐰𝐝𝐬 𝐨𝐫 𝐡𝐚𝐳𝐚𝐫𝐝𝐨𝐮𝐬 𝐛𝐞𝐡𝐚𝐯𝐢𝐨𝐮𝐫 instantly or over time to develop short and long-term actions plans Did you know? Your existing surveillance cameras can be upgraded with AI video analytics and integrated into your overall ecosystem. This helps break down data silos and allows you to extract valuable metadata for long-term city development plans. Contact us for a free consultation. #urbanplanning #citydevelopment #smartcity
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🌟 Archistar.ai Partners with Neighbourlytics for a Game-Changing Integration! 🌟 We're thrilled to announce our partnership with Neighbourlytics, starting with the integration of their Activity Hotspots dataset into the Archistar platform. This layer shows where people spend time across neighborhoods, offering a sophisticated understanding of local dwell patterns nationwide. Here's why this is a game-changer for property developers: 1. Rich Insights: Combine Neighbourlytics' Activity Hotspots data with Archistar's planning database for deeper insights into urban dynamics, walkability, amenities popularity, and more. 2. Targeted Development: Use Neighbourlytics' data to target development projects aligned with local preferences and lifestyles, ensuring your projects resonate with the community. 3. Data-Driven Decisions: Make informed decisions backed by real-time data on activity hotspots, community behavior, and lifestyle trends. 4. Competitive Advantage: Gain a competitive edge with access to a unique lifestyle dataset that complements Archistar's planning tools, helping you identify opportunities and optimize project outcomes. Experience the power of data-driven insights with Neighbourlytics now live in the Archistar platform! Sign up or log in today: https://buff.ly/4dBMpZY Join us in shaping the future of property development and urban planning with data-driven precision! #analytics #neighbourlytics #data #insights #neighbourhoods #development
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