Urban Mobility Strategy Documentation

“Innovative solutions in the mobility sector require more than just the development of energy-saving SUVs. If we want to achieve the green transformation, we can no longer look at it in isolation, but must develop holistic, human-centred approaches in all areas.” | Agnes Sindelar Mobility systems from the past are being designed for men; having typical characteristics, age of 25 to 45, speaking the local language, having a 9 to 5 job and being without care duties. However, with urbanization, cities have witnessed a paradigm shift, where daily mobility has become more complex. Considering the case of the European Union, out of the 450 million population, ▪️90+ million people are over 65 years old ▪️100+ million people have a disability ▪️100+ million people have care duties Therefore, there is an inherent need for the mobility systems to evolve with the dynamic needs of the diverse commuters, while ensuring social, economic and ecological benefits. In this context, The Better Mobility Accelerator Trend Report 2025, by EIT Urban Mobility, Impact Hub Vienna and Point&, highlights the emerging trends, new business opportunities, and actionable steps for cities to achieve sustainable mobility. As per the report, following are the key evolving mobility trends for accessible, affordable, safe and sustainable mobility. 🔶Build Holistic System includes cooperation across borders, connection of transport options on a digital level, multimodal hubs and inclusion of diverse services, by 🔹Creating a Unified System 🔹Investing in Mobility Workers 🔹Involving Users in Development Process 🔶Design Livable Cities includes redistributing space, prioritizing walkability, creating more green areas, and reducing traffic speeds, by 🔹Making Bold Decisions 🔹Developing Clear Performance Indicators 🔹Engaging with Citizens 🔶Prioritize Health in a Changing Climate includes safe and accessible infrastructure for active mobility enhancing independence, reducing stress, and boosting well-being, by 🔹Link Mobility to Health 🔹Empower People 🔹Incorporate Demography Trends 🔶Commit to Inclusive Design includes prioritizing accessibility which normalizes inclusion, breaks barriers and improves experiences for all, by 🔹Testing and Iterating 🔹Planning for Accessibility 🔹Leveraging Inclusive Design 🔶Enhance Safety and Security includes focusing on Vision Zero (reducing road deaths to zero), addressing physical and mental barriers, and ensuring resilience and safety for all, by 🔹Prioritizing Communication to Build Trust 🔹Focusing on Enhancing Resilience & Safety 🔹Fostering Awareness & Positive Behaviour #bettermobility #climatechange #urbanmobility #research #urbandevelopment #strategy #innovation #sustainablemobility #publictransport #activemobility #livablecities #health #safety #security #inclusivity #communication #transparency #accountability #stewardship #awarness #publicbehaviour #mointoring #evaluation #process #holistic #integrated

When we talk about transport challenges in cities, the focus is often only on congestion. But mobility is more than traffic jams. It is a system shaped by three intertwined elements: supply, demand and performance. 1️⃣ Supply is what cities provide: roads, footpaths, buses, trains and vehicles. We have some data here, but it is scattered and incomplete. 2️⃣ Demand is about people: how, when, where and why they travel. This is the missing piece, because demand data is rarely collected regularly. 3️⃣ Performance is about outcomes that show how well the system works: peak-hour travel times, the share of trips by public transport, average trip length, crash numbers and the pollution the system generates. The biggest gap is in understanding the demand. Without knowing how people actually travel, it becomes difficult to design systems that meet the city’s needs. One way to address this is through a 2% sample household travel behaviour analysis. This would give us clear insights into travel patterns like trip characteristics (origin, destination, mode, purpose), time and distance, demographic factors (household size, income, vehicle ownership). The cost for such an analysis is only about 5 to 10 crores, which is small compared to the 1000s of crores we will be spending on urban transport projects. Our new expert note, ‘Toward a Framework to Support Better Decision Making in India’s Mobility Planning’ lays out a framework for this approach. It calls for a return to first principles: collect the right data, understand how supply and demand shape each other, and use these insights to inform city decisions while building a shared understanding of this framework across the mobility planning community. 🔗 Read here: https://lnkd.in/gwbpCGNf We hope that this helps cities take a more systematic approach to mobility planning, one where investments are based on real commuter needs and the outcome is safe, clean, and sustainable transport for everyone.

🚦 Can Big Data and AI Fix Urban Mobility? Lessons from Chennai’s Urban Mobility Transformation Report 🚦 Cities worldwide are struggling with traffic congestion, declining public transport ridership, and the challenges of integrating new mobility solutions. But what if data, AI, and digital platforms could help cities move smarter? An excellent new The World Bank report, “Chennai’s Urban Mobility Transformation,” highlights how the city is leveraging real-time data, AI-driven analytics, and smart transport systems to improve urban mobility. 📊 Big Data for Smarter Planning 🔹 The Digital #Chennai Initiative is building a centralized data platform to integrate real-time insights across agencies. 🔹 Chennai is using mobile phone location data and CCTV-based pedestrian counts—techniques inspired by Seoul and São Paulo—to analyze travel patterns and optimize transit networks. 🚍 Intelligent Public Transport 🔹 #GTFS real-time data now powers Chennai’s buses and metro, making them more predictable and accessible via Google Maps and Moovit. 🔹 A Mobility as a Service (MaaS) platform is in development to create a seamless multimodal experience, combining buses, metro, bike-sharing, and ride-hailing. 🔹 #AI -driven computer vision is enhancing road safety monitoring, identifying near-collisions and high-risk intersections. 💡 The Challenges Despite these advancements, the report highlights key barriers: ⚠️ Siloed data collection across agencies limits real-time decision-making. ⚠️ #Data governance gaps slow down AI adoption in transport planning. ⚠️ Inter-agency coordination remains a challenge in executing digital mobility projects. 🌍 What Can Indian Cities Learn? The report draws lessons from London, Singapore, and New York, where AI-driven analytics, open data policies, and seamless digital ticketing have transformed urban mobility. India’s DataSmart Cities Strategy aims to bring similar innovation to Chennai and beyond. 💬 What’s Next? As Chennai pioneers big data, AI, and digital governance, can it become a model for other Indian cities? Or will governance bottlenecks hold back innovation? 📥 Read the full report- link comments below Let’s discuss! How can Indian cities scale data-driven mobility solutions? Share your thoughts in the comments. ⬇️ #UrbanMobility #WorldBankReport #SmartCities #BigData #ArtificialIntelligence #PublicTransport #Chennai #DataDrivenDecisionMaking #DigitalTransformation Jen Jungeun Oh Gerald Ollivier Abedalrazq Khalil

#𝐋𝐎𝐆_𝐍𝐎_𝟏𝟐𝟐 🚧 𝐔𝐫𝐛𝐚𝐧 𝐓𝐫𝐚𝐧𝐬𝐩𝐨𝐫𝐭𝐚𝐭𝐢𝐨𝐧 𝐏𝐥𝐚𝐧𝐧𝐢𝐧𝐠: 𝐓𝐚𝐜𝐤𝐥𝐢𝐧𝐠 𝐂𝐨𝐧𝐠𝐞𝐬𝐭𝐢𝐨𝐧, 𝐒𝐮𝐬𝐭𝐚𝐢𝐧𝐚𝐛𝐢𝐥𝐢𝐭𝐲, 𝐚𝐧𝐝 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐞𝐝 𝐆𝐫𝐨𝐰𝐭𝐡 🏙️ Urban Transportation Planning, where I dive into the complex challenges and evolving strategies shaping our cities’ mobility future. 🔍 𝐖𝐡𝐲 𝐢𝐭 𝐦𝐚𝐭𝐭𝐞𝐫𝐬: Urban transportation is a critical backbone of economic productivity, social inclusion, and environmental stewardship. However, increasing traffic congestion, pollution, and fragmented land-use patterns are placing unprecedented strain on urban systems. 💡 𝐊𝐞𝐲 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬 𝐟𝐫𝐨𝐦 𝐭𝐡𝐞 𝐩𝐚𝐩𝐞𝐫: 📌 𝐓𝐫𝐚𝐧𝐬𝐩𝐨𝐫𝐭𝐚𝐭𝐢𝐨𝐧 & 𝐋𝐚𝐧𝐝 𝐔𝐬𝐞 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧: Successful urban mobility planning depends on harmonizing land use with transport infrastructure. Compact, mixed-use development reduces trip lengths and encourages modal shifts toward public transit and non-motorized travel. 📌 𝐒𝐮𝐬𝐭𝐚𝐢𝐧𝐚𝐛𝐥𝐞 𝐓𝐫𝐚𝐧𝐬𝐩𝐨𝐫𝐭 𝐅𝐨𝐜𝐮𝐬: We emphasize a transition from car-centric designs to mass transit systems, cycling infrastructure, and walkable environments, aligned with climate goals and equitable access principles. 📌 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐚𝐥 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬 & 𝐌𝐨𝐝𝐞𝐥𝐬: The study references traditional four-step travel demand models while acknowledging a shift toward activity-based modeling, GIS-based analysis, and real-time traffic simulation tools for better forecasting and network design. 📌 𝐏𝐨𝐥𝐢𝐜𝐲 & 𝐈𝐧𝐬𝐭𝐢𝐭𝐮𝐭𝐢𝐨𝐧𝐚𝐥 𝐂𝐨𝐨𝐫𝐝𝐢𝐧𝐚𝐭𝐢𝐨𝐧: Fragmented jurisdiction and overlapping authorities often hinder effective planning. The paper highlights the need for integrated governance, stakeholder participation, and long-term visioning through frameworks like National Urban Transport Policy (NUTP) and Comprehensive Mobility Plans (CMPs). 📌𝐂𝐚𝐬𝐞 𝐒𝐭𝐮𝐝𝐢𝐞𝐬 & 𝐑𝐞𝐜𝐨𝐦𝐦𝐞𝐧𝐝𝐚𝐭𝐢𝐨𝐧𝐬: A comparative review of global best practices (e.g., Curitiba, Singapore, and Delhi Metro) illustrates how multi-modal investments, transit-oriented development (TOD), and public-private partnerships (PPP) can drive transformative change. ✅ 𝐓𝐚𝐤𝐞𝐚𝐰𝐚𝐲: Transportation planning is not just technical its strategic, participatory, and deeply interdisciplinary. We must plan for people, not just vehicles. 🔗 If you're working at the intersection of mobility, sustainability, and urban development, I'd love to connect and collaborate. Let’s move cities forward—smarter, greener, and more inclusive. #𝐔𝐫𝐛𝐚𝐧𝐓𝐫𝐚𝐧𝐬𝐩𝐨𝐫𝐭𝐚𝐭𝐢𝐨𝐧 #𝐓𝐫𝐚𝐧𝐬𝐩𝐨𝐫𝐭𝐚𝐭𝐢𝐨𝐧𝐏𝐥𝐚𝐧𝐧𝐢𝐧𝐠 #𝐒𝐦𝐚𝐫𝐭𝐂𝐢𝐭𝐢𝐞𝐬 #𝐒𝐮𝐬𝐭𝐚𝐢𝐧𝐚𝐛𝐥𝐞𝐌𝐨𝐛𝐢𝐥𝐢𝐭𝐲 #𝐔𝐫𝐛𝐚𝐧𝐏𝐨𝐥𝐢𝐜𝐲 #𝐆𝐈𝐒 #𝐏𝐮𝐛𝐥𝐢𝐜𝐓𝐫𝐚𝐧𝐬𝐩𝐨𝐫𝐭 #𝐋𝐚𝐧𝐝𝐔𝐬𝐞𝐏𝐥𝐚𝐧𝐧𝐢𝐧𝐠 #𝐌𝐮𝐥𝐭𝐢𝐦𝐨𝐝𝐚𝐥𝐓𝐫𝐚𝐧𝐬𝐩𝐨𝐫𝐭 #𝐂𝐢𝐭𝐲𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 #𝐔𝐫𝐛𝐚𝐧𝐌𝐨𝐛𝐢𝐥𝐢𝐭𝐲 #𝐌𝐨𝐛𝐢𝐥𝐢𝐭𝐲𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 #𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡𝐀𝐧𝐝𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧