Plan4Better

🚀 𝗠𝗲𝗮𝘀𝘂𝗿𝗶𝗻𝗴 𝗔𝗰𝗰𝗲𝘀𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆: 𝗡𝗼 𝗢𝗻𝗲-𝗦𝗶𝘇𝗲-𝗙𝗶𝘁𝘀-𝗔𝗹𝗹 𝗔𝗽𝗽𝗿𝗼𝗮𝗰𝗵! 🏙️🛒 Accessibility can be challenging to measure, and different planners prioritize different aspects. Take supermarkets as an example: 🏪 Some might define accessibility as the area covered within a 15-minute walk, while others focus on reaching multiple supermarkets in the shortest time possible. ⏳🗺️ That’s why in 𝗚𝗢𝗔𝗧 🐐, we developed two advanced 𝗮𝗿𝗲𝗮-𝘄𝗶𝗱𝗲 𝗮𝗰𝗰𝗲𝘀𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆 𝗶𝗻𝗱𝗶𝗰𝗮𝘁𝗼𝗿𝘀: 🔥 𝗛𝗲𝗮𝘁𝗺𝗮𝗽 𝗖𝗹𝗼𝘀𝗲𝘀𝘁 𝗔𝘃𝗲𝗿𝗮𝗴𝗲 – measures access to the nearest destination 🏃♂️ 🌍 𝗛𝗲𝗮𝘁𝗺𝗮𝗽 𝗚𝗿𝗮𝘃𝗶𝘁𝘆 – considers the benefit of reaching multiple destinations ⚖️ Both provide valuable insights for better planning! 📊✨ 📽️ Watch the video to learn more! 🎥👇 #GIS #Accessibility #Data #GOAT #Planning

𝗣𝗿𝗼𝘅𝗶𝗺𝗶𝘁𝘆 𝗳𝗼𝗿 𝗮 𝗦𝘂𝘀𝘁𝗮𝗶𝗻𝗮𝗯𝗹𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 🚶♀️ How far would you walk to your local supermarket? 30 minutes? Active modes of transport like walking and cycling require an environment that supports them—proximity to amenities, safe routes, and a people-centric design. By making 𝗲𝘃𝗲𝗿𝘆𝗱𝗮𝘆 𝗻𝗲𝗲𝗱𝘀 𝗲𝗮𝘀𝗶𝗹𝘆 𝗿𝗲𝗮𝗰𝗵𝗮𝗯𝗹𝗲, cities can reduce pollution 🌱, foster social interaction 🤝, and boost local economies. That’s why the 𝟭𝟱-𝗺𝗶𝗻𝘂𝘁𝗲 𝗰𝗶𝘁𝘆 concept has been gaining traction worldwide—ensuring essential services (work, shopping, healthcare, education, and leisure) are never too far away. Pioneers like Paris have led the way by expanding bike lanes and limiting car traffic to create more livable, vibrant neighborhoods. Curious about how German municipalities stack up? Our 𝘄𝗵𝗶𝘁𝗲 𝗽𝗮𝗽𝗲𝗿 - produced in close collaboration with TUM Accessibility Planning, Sebastian Seisenberger and Benjamin Büttner - explores a method to measure the walking accessibility - using a 15-minute score - and uncovers key insights for both urban and rural planning. Read more in our new white paper and see how your region compares: https://lnkd.in/dpN8zpVQ #15MinuteCity #ActiveMobility #UrbanPlanning #Sustainability #Cycling #Walking #GreenCities #LocalEconomy #CityDesign

🌍 𝗡𝗼𝗿𝗺𝗮𝗹𝗶𝘇𝗶𝗻𝗴 𝗗𝗮𝘁𝗮 𝗠𝗮𝘁𝘁𝗲𝗿𝘀 We recently revisited the importance of normalizing data after reading an insightful post by Dominic Royé (highly recommend it: https://lnkd.in/dPce2pHy). Inspired by his explanation, we mapped hospital beds across Europe, first showing total numbers per country (left map). While it seemed informative, it mostly reflected population size—more people, more beds. However, normalizing the data to beds per 100,000 people (right map) revealed a completely different story: countries like Turkey and Spain, despite having high total numbers, have relatively low beds per capita compared to others. 📊 𝗪𝗵𝘆 𝗡𝗼𝗿𝗺𝗮𝗹𝗶𝘇𝗲? Normalization helps us compare apples to apples, uncovering insights hidden in raw totals. It’s a crucial step to avoid misleading conclusions, especially in fields like regional or urban analysis. Normalization can truly change how we interpret data—and the story it tells. 🗺️ Here are the two maps we made. Can you think of cases where normalization might not be the best approach? 🤔

🚦 𝗜𝗺𝗮𝗴𝗶𝗻𝗲 𝘁𝗵𝗶𝘀: 𝗛𝗼𝘄 𝗽𝗹𝗮𝗻𝗻𝗶𝗻𝗴 𝗰𝗼𝘂𝗹𝗱 𝗴𝗼 𝗮𝘀𝘁𝗿𝗮𝘆 𝗶𝗳 𝘄𝗲 𝘁𝗵𝗶𝗻𝗸 𝗮 𝘀𝘁𝗼𝗽 𝘀𝗲𝗿𝘃𝗲𝘀 𝟰,𝟵𝟱𝟲 𝗽𝗲𝗼𝗽𝗹𝗲, 𝘄𝗵𝗲𝗻 𝗶𝗻 𝗿𝗲𝗮𝗹𝗶𝘁𝘆, 𝗼𝗻𝗹𝘆 𝟭,𝟰𝟰𝟭 𝗰𝗮𝗻 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗮𝗰𝗰𝗲𝘀𝘀 𝗶𝘁 𝘄𝗶𝘁𝗵𝗶𝗻 𝟱 𝗺𝗶𝗻𝘂𝘁𝗲𝘀. This is the difference between using simple 𝗕𝘂𝗳𝗳𝗲𝗿 and the 𝗖𝗮𝘁𝗰𝗵𝗺𝗲𝗻𝘁 𝗔𝗿𝗲𝗮 𝘁𝗼𝗼𝗹. You’ve probably seen simple Buffers—basic radius zones around a feature—used to explain accessibility. While quick and easy, they overlook real-world factors like roads, barriers, and travel modes. The result? A misleading picture of accessibility that can impact crucial planning decisions. ✅ 𝗖𝗮𝘁𝗰𝗵𝗺𝗲𝗻𝘁 𝗔𝗿𝗲𝗮 𝘁𝗼𝗼𝗹: 𝗔 𝗺𝗼𝗿𝗲 𝗮𝗰𝗰𝘂𝗿𝗮𝘁𝗲 𝗰𝗵𝗼𝗶𝗰𝗲 Catchment Areas use 𝗿𝗲𝗮𝗹-𝘄𝗼𝗿𝗹𝗱 𝗱𝗮𝘁𝗮 to calculate actual accessibility based on travel time or distance, factoring in transport networks and modes. 📊 Using 𝗚𝗢𝗔𝗧, we compared a simple Buffer and a Catchment Area around a public transport stop in Munich for a 𝟱-𝗺𝗶𝗻𝘂𝘁𝗲 𝘄𝗮𝗹𝗸. The Buffer suggested 𝟰,𝟵𝟱𝟲 𝗽𝗲𝗼𝗽𝗹𝗲 could be reached, but the Catchment Area revealed the true number - 𝟭,𝟰𝟰𝟭. This highlights the importance of precision when making planning decisions. Even if Catchment Areas are more accurate here, Buffers can still be useful in other scenarios. 𝗪𝗵𝗶𝗰𝗵 𝘁𝗼𝗼𝗹 𝘄𝗼𝘂𝗹𝗱 𝘆𝗼𝘂 𝘁𝗿𝘂𝘀𝘁 𝗳𝗼𝗿 𝘆𝗼𝘂𝗿 𝗻𝗲𝘅𝘁 𝗽𝗿𝗼𝗷𝗲𝗰𝘁? #Accessibility #Planning #GOAT

How Web Mapping Standards Can Streamline Your Planning Projects 🚀 If you want to access data for your planning project easily with just a link—no need to download massive datasets—you should understand Web Mapping Standards. 🌆 Imagine you're designing a city: for everything to work smoothly, standards like road widths, building codes, and zoning laws are crucial. Web mapping standards serve a similar purpose in the digital world, acting as the "building codes" for online maps. ✅ Developed by organizations like the Open Geospatial Consortium (OGC), these protocols make it easy to share and access geospatial data across platforms, promoting collaboration and streamlining workflows. 🤝💡 🚀 Using simple HTTP links, you can request and access data like raster images, vector layers, or map tiles directly from servers—no downloads needed! 🔗 With platforms like GOAT or QGIS, you can connect directly to government and organizational datasets via HTTP links, eliminating the need for manual downloads and ensuring you always work with the most up-to-date data. 🌟 Ready to explore? Here are the essential standards you need to know: 

𝗛𝗮𝘃𝗲 𝘆𝗼𝘂 𝗲𝘃𝗲𝗿 𝘄𝗼𝗻𝗱𝗲𝗿𝗲𝗱 𝗵𝗼𝘄 𝗮 𝗻𝗲𝘄 𝘀𝘂𝗽𝗲𝗿𝗺𝗮𝗿𝗸𝗲𝘁 𝗰𝗮𝗻 𝗶𝗺𝗽𝗮𝗰𝘁 𝗮𝗰𝗰𝗲𝘀𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆? 🛒 🤔 The 𝗪𝗲𝘀𝘁𝗳𝗿𝗶𝗲𝗱𝗵𝗼𝗳 area in Munich is undergoing remarkable urban development, with new housing projects reshaping the neighbourhood. But how does this impact residents’ day-to-day lives, like their ability to access groceries? Using 𝗚𝗢𝗔𝗧’𝘀 𝗦𝗰𝗲𝗻𝗮𝗿𝗶𝗼 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗧𝗼𝗼𝗹, we uncovered powerful insights: ➡️ 𝗦𝗰𝗲𝗻𝗮𝗿𝗶𝗼 𝟭: 𝗖𝘂𝗿𝗿𝗲𝗻𝘁 𝗔𝗰𝗰𝗲𝘀𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆 Our analysis of a 10-minute walking isochrone revealed a mixed landscape: while some residents already have access to grocery stores, many still face challenges in reaching essentials conveniently. 🏃♂️ However, the addition of the new supermarket has significantly improved accessibility for the community! 🎉 Based on current population data, 200 people who previously were outside of the 10-minute catchment areas got access to the new supermarket within a 10-minute walk, and for 200 other residents the 10-minute walking distance significantly decreased. 🛒✨ Taken the housing development into account in the area, we can see that 900 new residents will move into the scope of the new supermarket. ➡️ 𝗦𝗰𝗲𝗻𝗮𝗿𝗶𝗼 𝟮: 𝗔 𝗡𝗲𝘄 𝗦𝘂𝗽𝗲𝗿𝗺𝗮𝗿𝗸𝗲𝘁 𝗮𝘁 𝗛𝗮𝗻𝗮𝘂𝗲𝗿 𝗦𝘁𝗿𝗮ß𝗲 Placing a supermarket at this strategic location would significantly enhance accessibility, especially for new residents following the ongoing residential development. It ensures more people can access groceries and essentials easily making the neighbourhood more livable. 🏃♀️✔️  𝗚𝗢𝗔𝗧 empowers urban planners to simulate potential changes—whether adding supermarkets, schools, or parks—before implementation. This ensures thoughtful, people-focused planning for better connected liveable communities. 🌍📊 📖 𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿 𝗵𝗼𝘄 𝘂𝗿𝗯𝗮𝗻 𝗽𝗹𝗮𝗻𝗻𝗶𝗻𝗴 𝗶𝘀 𝘀𝗵𝗮𝗽𝗶𝗻𝗴 𝗪𝗲𝘀𝘁𝗳𝗿𝗶𝗲𝗱𝗵𝗼𝗳: https://lnkd.in/d5HyXFnj 📖 𝗟𝗲𝗮𝗿𝗻 𝗺𝗼𝗿𝗲 𝗮𝗯𝗼𝘂𝘁 𝗦𝗰𝗲𝗻𝗮𝗿𝗶𝗼 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗶𝗻 𝗚𝗢𝗔𝗧: https://lnkd.in/d7_P9xHN #UrbanPlanning #ScenarioAnalysis #Munich #Accessibility #GOATTools

🚲🌿 𝗡𝗲𝘂𝗲𝘀 𝗣𝗿𝗼𝗷𝗲𝗸𝘁: 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝘃𝗲𝘀 𝗦𝗵𝗮𝗿𝗶𝗻𝗴-𝗠𝗼𝗯𝗶𝗹𝗶𝘁𝗮𝗲𝘁𝘀𝗸𝗼𝗻𝘇𝗲𝗽𝘁 𝗳𝘂𝗲𝗿 𝗱𝗲𝗻 𝗦𝘁𝗮𝗱𝘁𝘁𝗲𝗶𝗹 𝗛𝗮𝗿𝘁𝗵𝗼𝗳! 🚗✨ Wir freuen uns, gemeinsam mit stattbau münchen und dem Good Mobility Council im Rahmen des ASCEND Project - Munich ein wegweisendes Mobilitätskonzept für den Stadtteil Harthof in München zu entwickeln! Ziel ist es, datenbasierte Lösungen für nachhaltige Mobilität zu schaffen und öffentliche wie private Sharing-Angebote intelligent zu integrieren. 🌍🤝 𝗨𝗻𝘀𝗲𝗿𝗲 𝗦𝗰𝗵𝘄𝗲𝗿𝗽𝘂𝗻𝗸𝘁𝗲: • 𝗗𝗮𝘁𝗲𝗻𝗯𝗮𝘀𝗶𝗲𝗿𝘁𝗲 𝗦𝘁𝗲𝗹𝗹𝗽𝗹𝗮𝘁𝘇𝘀𝗰𝗵𝗹ü𝘀𝘀𝗲𝗹: Berechnung datenbasierter Stellplatzschlüssel unter Berücksichtigung von Lage, Erreichbarkeit und Soziodemographie. • 𝗘𝗿𝗿𝗲𝗶𝗰𝗵𝗯𝗮𝗿𝗸𝗲𝗶𝘁𝘀𝗮𝗻𝗮𝗹𝘆𝘀𝗲𝗻: Optimierung der Erreichbarkeit von Shared-Mobility-Angeboten und zentralen Alltagszielen. • 𝗚𝗲𝗺𝗲𝗶𝗻𝘀𝗰𝗵𝗮𝗳𝘁𝗹𝗶𝗰𝗵𝗲 𝗘𝗻𝘁𝘄𝗶𝗰𝗸𝗹𝘂𝗻𝗴: Zusammenarbeit mit Bürger*innen und Akteuren vor Ort, um bedarfsorientierte und nachhaltige Lösungen zu entwickeln. 𝗪𝗮𝘀 𝘄𝗶𝗿 𝗲𝗿𝗿𝗲𝗶𝗰𝗵𝗲𝗻 𝘄𝗼𝗹𝗹𝗲𝗻: • Ein datenbasiertes Sharing-Mobilitätskonzept, das als Modell für weitere Stadtteile dienen kann. • Nachhaltige Mobilitätsalternativen, die den privaten Pkw-Verkehr reduzieren und die Lebensqualität steigern. • Erprobung passgenauer Stellplatzschlüssel in Bestands und Entwicklungsgebieten. Wir freuen uns mit dem Projekt einen Beitrag zu einer lebenswerteren und nachhaltigeren Stadt zu leisten! 🌟 Mehr Infos findet ihr hier: https://lnkd.in/dp2bWTJB

🎄 𝗛𝗼𝘄 𝗔𝗰𝗰𝗲𝘀𝘀𝗶𝗯𝗹𝗲 𝗔𝗿𝗲 𝗚𝗲𝗿𝗺𝗮𝗻𝘆'𝘀 𝗖𝗵𝗿𝗶𝘀𝘁𝗺𝗮𝘀 𝗠𝗮𝗿𝗸𝗲𝘁𝘀? 🎄 Accessibility is key—not just for daily activities like commuting, but also for large-scale events that attract massive crowds, such as Christmas markets. Every year, around 2,500 Christmas markets light up Germany, with some, like the Christmas Market am Kölner Dom in Köln, attracting over 4 million visitors. But how accessible are these events?  Using GOAT, we analyzed accessibility to Christmas markets across Germany by walking and public transport. Here, we showcase three distinct city profiles that highlight key patterns and insights: ✨ 𝗗𝗿𝗲𝘀𝗱𝗲𝗻: A bustling city with 13 markets and over 2.5 million visitors. Only 14.5% of residents can reach a market within a 15-minute walk, but public transport bridges the gap—12 markets fall in top-tier transport zones. ✨ 𝗡𝗲𝘂𝘀𝘁𝗮𝗱𝘁 𝗮𝗻 𝗱𝗲𝗿 𝗪𝗲𝗶𝗻𝘀𝘁𝗿𝗮ß𝗲: A rural town where walkability dominates—48% of residents can access one of its 8 markets on foot. However, no markets are in high-quality public transport zones. ✨ 𝗡𝘂𝗿𝗲𝗺𝗯𝗲𝗿𝗴: With 500,000+ residents and 2.5 million annual visitors, its iconic 𝗖𝗵𝗿𝗶𝘀𝘁𝗸𝗶𝗻𝗱𝗹𝗲𝘀𝗺𝗮𝗿𝗸𝘁 shows how public transport expands access—from 23,000 within a 15-minute walk to over 𝟭.𝟮 𝗺𝗶𝗹𝗹𝗶𝗼𝗻 in 60 minutes. Strategic inner-city locations and robust transit networks ensure seamless access.  The results highlight the need for tailored accessibility strategies: cities rely on strong public transport, while rural areas can excel by having smaller and well distributed markets. You can check the whole analysis on our blog post: https://lnkd.in/dn5nzJbn With 𝗚𝗢𝗔𝗧, analyzing event accessibility is simple, fast, and cost-effective. Whether you’re planning seasonal markets or any community project, tools like GOAT can help ensure your event reaches everyone. #GOAT #Accessibility #UrbanPlanning #GIS #DataAnalysis

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

𝗦𝗽𝗮𝗻𝗻𝗲𝗻𝗱𝗲 𝗘𝗶𝗻𝗯𝗹𝗶𝗰𝗸𝗲 𝗯𝗲𝗶 𝗱𝗲𝗿 𝗜𝗕𝗔 𝗠𝗲𝘁𝗿𝗼𝗽𝗼𝗹𝗿𝗲𝗴𝗶𝗼𝗻 𝗠𝘂𝗲𝗻𝗰𝗵𝗲𝗻 – 𝗧𝗮𝗴 𝗱𝗲𝗿 𝗣𝗿𝗼𝗷𝗲𝗸𝘁𝗶𝗱𝗲𝗲𝗻! 🚀 Es war großartig, beim 𝗧𝗮𝗴 𝗱𝗲𝗿 𝗣𝗿𝗼𝗷𝗲𝗸𝘁𝗶𝗱𝗲𝗲𝗻 der Internationale Bauausstellung (IBA) Metropolregion München dabei zu sein! Mit dem Fokus auf das Motto „Räume der Mobilität“ trifft die IBA genau unseren Spirit: nachhaltige, zukunftsweisende Lösungen für die Mobilität von morgen zu entwickeln. Unsere Projektidee „𝗗𝗮𝘁𝗲𝗻𝗯𝗮𝘀𝗶𝗲𝗿𝘁𝗲 𝗙𝗹𝗲𝘅𝗶𝗯𝗶𝗹𝗶𝘀𝗶𝗲𝗿𝘂𝗻𝗴 𝗸𝗼𝗺𝗺𝘂𝗻𝗮𝗹𝗲𝗿 𝗦𝘁𝗲𝗹𝗹𝗽𝗹𝗮𝘁𝘇𝘀𝗮𝘁𝘇𝘂𝗻𝗴𝗲𝗻 (𝗙𝗟𝗘𝗞𝗦)“, die wir gemeinsam mit der stattbau münchen eingebracht haben, zielt darauf ab, ressourcenschonendere Stellplatzsatzungen der Zukunft auf Basis evidenzbasierter Indikatoren zu gestalten. So sollen 𝗦𝘁𝗲𝗹𝗹𝗽𝗹𝗮𝘁𝘇𝘀𝗰𝗵𝗹𝘂𝘀𝘀𝗲𝗹 räumlich 𝗵𝗼𝗰𝗵𝗮𝘂𝗳𝗴𝗲𝗹𝗼𝗲𝘀𝘁 und unter Berücksichtigung von Faktoren wie 𝗘𝗿𝗿𝗲𝗶𝗰𝗵𝗯𝗮𝗿𝗸𝗲𝗶𝘁𝗲𝗻, 𝗦𝗼𝘇𝗶𝗼𝗱𝗲𝗺𝗼𝗴𝗿𝗮𝗽𝗵𝗶𝗲 und 𝗡𝘂𝘁𝘇𝘂𝗻𝗴 berechnet werden. Dadurch soll sichergestellt werden, dass weder zu viele noch zu wenige Stellplätze beim Wohnungs- und Gewerbebau nachgewiesen werden müssen. Wir freuen uns auf spannende 𝟭𝟬 𝗝𝗮𝗵𝗿𝗲 voller umgesetzter Projekte und neuer Impulse für die Region und die Welt! 🌍 Christian Bitter Julia Korsten Luise Schnell #IBA #Mobility #MetropolregionMünchen #Nachhaltigkeit #GIS