Plan4Better

🏙️ 𝗪𝗮𝗻𝘁 𝘁𝗼 𝗰𝗮𝗹𝗰𝘂𝗹𝗮𝘁𝗲 𝘁𝗵𝗲 𝟭𝟱-𝗠𝗶𝗻𝘂𝘁𝗲 𝗖𝗶𝘁𝘆 𝗳𝗼𝗿 𝘆𝗼𝘂𝗿 𝗮𝗿𝗲𝗮? 𝗢𝗿 𝗲𝘅𝗽𝗹𝗼𝗿𝗲 𝗯𝗲𝘀𝘁 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀 𝗼𝗻 𝘁𝗵𝗲 𝘁𝗼𝗽𝗶𝗰? 🚶♂️🚴♀️ In this document, we’ve gathered a list of online tools and resources to calculate and visualize accessibility in cities around the world. From tools built by Sony CSL (Paris), by HERE Technologies or Henry Spatial Analysis; to Leonardo Nicoletti, Mikhail Sirenko, and Trivik Verma at Delft University of Technology. But also platforms like the one by C40 Cities Europe, or best practices by Driving Urban Transitions Partnership along with TUM Accessibility Planning, CITTA - Research Center for Territory, Transports and Environment. 💡 𝗡𝗲𝗲𝗱 𝗮 𝗰𝘂𝘀𝘁𝗼𝗺𝗶𝘇𝗲𝗱 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵? 𝗪𝗶𝘁𝗵 𝗚𝗢𝗔𝗧, 𝘆𝗼𝘂 𝗰𝗮𝗻 𝗮𝗱𝗮𝗽𝘁 𝘁𝗵𝗲 𝟭𝟱-𝗠𝗶𝗻𝘂𝘁𝗲 𝗖𝗶𝘁𝘆 𝗰𝗼𝗻𝗰𝗲𝗽𝘁 𝘁𝗼 𝘆𝗼𝘂𝗿 𝘀𝗽𝗲𝗰𝗶𝗳𝗶𝗰 𝗻𝗲𝗲𝗱𝘀—adjusting parameters, adding datasets, and generating detailed insights for better planning. 📍 Have you used any of these tools? Know other resources? Drop them in the comments! 👇 #15MinuteCity #UrbanPlanning #Accessibility #Walkability #SustainableCities #DataDrivenPlanning #GIS

📂 𝗦𝗵𝗮𝗽𝗲𝗳𝗶𝗹𝗲, 𝗚𝗲𝗼𝗝𝗦𝗢𝗡, 𝗼𝗿 𝗚𝗲𝗼𝗣𝗮𝗰𝗸𝗮𝗴𝗲? 𝗟𝗲𝘁’𝘀 𝗦𝗲𝘁𝘁𝗹𝗲 𝗧𝗵𝗶𝘀! Still working with Shapefiles? What if we told you there’s a better way? An all-in-one solution—no missing files, faster performance, and support for large datasets. But where does GeoJSON fit in? And why do so many still use Shapefiles? We broke it all down in an easy-to-read document—so you can finally choose the best format for your workflow. 📥 Download the guide & join the conversation! Which format do you use the most? Let’s discuss in the comments! #GIS #DataFormats #GeoPackage #Shapefile #GeoJSON #WebGIS #UrbanPlanning #SpatialData

🚆🚌 Spannende und herausfordernde Studie: Entwicklung des ÖPNV-Angebots in Deutschland 2023–2025 🌍💡 Der dringend notwendige Ausbau des ÖPNV stagniert seit Jahren. 😞 Ja, es gibt positive Beispiele – aber insgesamt passiert zu wenig, wenn wir den Umstieg in den Umweltverbund 🚉🚶♂️🚲 für die breite Bevölkerung ermöglichen wollen! Mehr Tempo, mehr Investitionen, mehr Mut – nur so schaffen wir echte Alternativen zum eigenen Pkw! 🙏 Herzlichen Dank an Greenpeace für die Beauftragung zur Datenanalyse zu diesem wichtigen Thema! Wir freuen uns, dazu beitragen zu können.

A book guide on urban design and cities 👇🏽 we all, once in a while, need a bit of inspiration

🔍 𝗣𝗹𝗮𝗻𝟰𝗕𝗲𝘁𝘁𝗲𝗿 & 𝗚𝗢𝗔𝗧 – 𝗪𝗵𝗮𝘁’𝘀 𝘁𝗵𝗲 𝗰𝗼𝗻𝗻𝗲𝗰𝘁𝗶𝗼𝗻? We often get asked: What is Plan4Better? What is GOAT? How do they fit together? 🤔 Check out this video where we break it all down—how GOAT emerged from the TUM Accessibility Planning Research Group, what we do, and how Plan4Better’s expertise and GOAT together empower smarter, data-driven planning. 🚀 Want to learn more? Drop your questions in the comments, and we’ll be happy to answer! #UrbanPlanning #GIS #AccessibilityPlanning #SmartCities #Sustainability

🔍 𝗚𝗢𝗔𝗧 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀: 𝗕𝗲𝗰𝗮𝘂𝘀𝗲 𝗚𝗼𝗼𝗱 𝗣𝗹𝗮𝗻𝗻𝗶𝗻𝗴 𝗡𝗲𝗲𝗱𝘀 𝗮 𝗚𝗮𝗺𝗲 𝗣𝗹𝗮𝗻 Spatial analysis in planning can be messy and time consuming—too much data, too many steps, and way too many ways to overcomplicate things. That’s why we’re launching GOAT Workflows, a series of no-nonsense, step-by-step guides to get you from data to insight without the headache and just in a few steps. First up: 𝗦𝗶𝘁𝗲 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄. The foundation of any planning project, now made ridiculously easy. Define your study area, add relevant layers, filter key insights. Check the interactive map, result of this workflow (link in comments) And this is just the start. What’s the next workflow you’d love to see? A 15-min City Analysis? Drop your ideas below.👇 #UrbanPlanning #GIS #SpatialAnalysis #WebGIS

📊 𝗘𝘃𝗲𝗿𝘆 𝗽𝗹𝗮𝗻𝗻𝗶𝗻𝗴 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝘀𝘁𝗮𝗿𝘁𝘀 𝘄𝗶𝘁𝗵 𝗱𝗮𝘁𝗮. Looking for reliable city data? 𝗪𝗲’𝘃𝗲 𝗰𝗼𝗺𝗽𝗶𝗹𝗲𝗱 𝟯𝟲 𝗼𝗳𝗳𝗶𝗰𝗶𝗮𝗹 𝗱𝗮𝘁𝗮 𝗽𝗼𝗿𝘁𝗮𝗹𝘀 𝗼𝗳 𝗘𝘂𝗿𝗼𝗽𝗲𝗮𝗻 𝗰𝗮𝗽𝗶𝘁𝗮𝗹𝘀 to help planners, decision-makers, and researchers access key urban insights. From land use to mobility—find the data you need in one place! 🚀 🌍 Explore the interactive map and dataset (link in comments) Do you know other city portals? Drop your expert knowledge in the comments! 👇 #OpenData #UrbanPlanning #GIS #SmartCities #DataForCities

🗺️ 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗶𝗻𝗴 𝘁𝗵𝗲 𝗠𝗮𝗽 𝗚𝗮𝗹𝗹𝗲𝗿𝘆: 𝗥𝗲𝗮𝗹-𝗪𝗼𝗿𝗹𝗱 𝗨𝘀𝗲 𝗖𝗮𝘀𝗲𝘀 𝗠𝗮𝗱𝗲 𝘄𝗶𝘁𝗵 𝗚𝗢𝗔𝗧! 🌍 We’re excited to launch the 𝗚𝗢𝗔𝗧 𝗠𝗮𝗽 𝗚𝗮𝗹𝗹𝗲𝗿𝘆, a dedicated space on the Plan4Better website showcasing how spatial analysis supports smarter decision-making. 📌 What’s inside? 🔹 Planning – Urban development, mobility, and accessibility maps. 🔹 Environment – Climate impact, green spaces, and sustainability analyses. 🔹 Society – Demographics, public services, and social equity insights. The Map Gallery serves as both 𝗶𝗻𝘀𝗽𝗶𝗿𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗮 𝘀𝘁𝗮𝗿𝘁𝗶𝗻𝗴 𝗽𝗼𝗶𝗻𝘁—whether you're exploring 𝗯𝗲𝘀𝘁 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀 or 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝘁𝗼 𝗿𝗲𝗺𝗮𝗸𝗲 𝗮 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝘄𝗶𝘁𝗵 𝘆𝗼𝘂𝗿 𝗼𝘄𝗻 𝗱𝗮𝘁𝗮 𝗶𝗻 𝗚𝗢𝗔𝗧. 🚀 ✨ Check out the link in comments and tell us: What kind of maps would you love to see featured? 👇 #GIS #Mapping #UrbanPlanning #Sustainability #DataVisualization #SmartCities #WebGIS #AccessibilityPlanning #OpenData

🗺️ 𝗚𝗢𝗔𝗧 + 𝗠𝗶𝗿𝗼 = 𝗧𝗵𝗲 𝗣𝗲𝗿𝗳𝗲𝗰𝘁 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻 𝗠𝗮𝘁𝗰𝗵! 🚀 Now, you can embed interactive GOAT maps directly into Miro using an iframe, making collaboration easier than ever! 💡 𝗣𝗹𝗮𝗻𝗻𝗶𝗻𝗴 𝘄𝗼𝗿𝗸𝘀𝗵𝗼𝗽? Add a live map to discuss spatial data in real-time. 👥 𝗧𝗲𝗮𝗺 𝗺𝗲𝗲𝘁𝗶𝗻𝗴? Visualize accessibility and mobility insights directly in your board. 📍 𝗣𝗮𝗿𝘁𝗶𝗰𝗶𝗽𝗮𝘁𝗼𝗿𝘆 𝗽𝗹𝗮𝗻𝗻𝗶𝗻𝗴? Engage stakeholders with interactive maps inside Miro. One simple integration—endless possibilities! Try it now and take your planning workflow to the next level. 🔗 Check it out & start collaborating today! #GIS #WebGIS #UrbanPlanning #Collaboration #ParticipatoryPlanning #SmartCities #GOAT #Miro

📊 𝗛𝗼𝘄 𝘆𝗼𝘂 𝗰𝗹𝗮𝘀𝘀𝗶𝗳𝘆 𝗱𝗮𝘁𝗮 𝘀𝗵𝗮𝗽𝗲𝘀 𝘁𝗵𝗲 𝘀𝘁𝗼𝗿𝘆 𝘆𝗼𝘂𝗿 𝗺𝗮𝗽 𝘁𝗲𝗹𝗹𝘀! 🗺️ Selecting the right data classification method is crucial in planning and GIS—it determines how patterns appear and influences decision-making. With multiple methods available—Quantile, Standard Deviation, Equal Interval, Heads & Tails, Custom Breaks, and Custom Ordinal—which one is best for your analysis? 🔎 𝗪𝗲’𝘃𝗲 𝗽𝘂𝘁 𝘁𝗼𝗴𝗲𝘁𝗵𝗲𝗿 𝗮 𝗾𝘂𝗶𝗰𝗸 𝗴𝘂𝗶𝗱𝗲 𝘁𝗼 𝗵𝗲𝗹𝗽 𝘆𝗼𝘂 𝗰𝗵𝗼𝗼𝘀𝗲 𝘁𝗵𝗲 𝗿𝗶𝗴𝗵𝘁 𝗺𝗲𝘁𝗵𝗼𝗱! 📥 𝗖𝗵𝗲𝗰𝗸 𝗶𝘁 𝗼𝘂𝘁, 𝘁𝗲𝘀𝘁 𝘁𝗵𝗲 𝗰𝗹𝗮𝘀𝘀𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗺𝗲𝘁𝗵𝗼𝗱𝘀 𝗶𝗻 𝗚𝗢𝗔𝗧, 𝗮𝗻𝗱 𝘁𝗲𝗹𝗹 𝘂𝘀: 𝗪𝗵𝗶𝗰𝗵 𝗼𝗻𝗲 𝗱𝗼 𝘆𝗼𝘂 𝘂𝘀𝗲 𝘁𝗵𝗲 𝗺𝗼𝘀𝘁 𝗮𝗻𝗱 𝘄𝗵𝘆? 👇 #GIS #DataClassification #Mapping #DataVisualization #WebGIS #GOAT #SpatialAnalysis