Dutch Study Integrates Sparse GPS and Traffic Signal Data to Double Model Fit in Estimating Average Bicycle Delays, Providing Insights for Traffic Management, Cycling Policy, and Infrastructure Development in Urban Environments Addressing Bicycle Delays in Urban Transportation Networks Bicycle use has increased in urban areas as a sustainable alternative to cars for short to medium […]
Machine Learning for Bicycle Delay Estimation Read More »
Probabilistic Assessment Reveals Escalating Damages from Rising Sea Levels This study evaluates coastal flood impacts on European road and rail networks across global warming scenarios, projecting baseline annual damages of €519 million rising potentially to €1,090 million at 4°C, with greater affected lengths for roads but higher costs for rails, signaling needs for targeted adaptation
Expected Annual Damage European Coastal Transport Infrastructure Under Global Warming Read More »
Researchers at TU Delft present a methodology to generate plausible 3D city models from scanned historical maps, using alignment, procedural modeling, and height inference to minimize manual work and support applications like population estimation, disease mapping, and spatial simulations for European cities between 1700 and 2000. Challenges in Historical 3D City Modeling and Their Significance
Reconstructing Historical 3D City Models from Maps Read More »
This editorial explores the role of distributed sensors and real-time data in improving urban management, addressing sustainability issues through proactive strategies, digital twins, and inclusive frameworks, drawing on worldwide experiences to inform better decision-making and equitable outcomes. Urban Challenges: The Need for Better Environmental Data Integration Cities are confronting growing pressures from climate change, air
Real-Time Data in Urban Sustainability Read More »
Utilizing GRACE gravity measurements, ERA5 precipitation records, and MODIS land cover classifications, this analysis examines seasonal and regional variations in groundwater storage across India, identifying negative correlations with cropland and urban expansion in northern areas while emphasizing the need for diversified water management to address ongoing depletion. Groundwater Depletion in India: The Problem and Its
Satellite Data Reveals Regional Patterns in India’s Groundwater Depletion Read More »
High-frequency turbidity sensors from 134 USGS stations, paired with RUSLE erosion estimates and explainable random forest models, map sediment yield and delivery ratios across the contiguous United States, revealing that human-modified landscapes dominate sediment transport efficiency while natural factors control total production, and highlighting priority sub-basins for targeted management in the Upper Mississippi and Chesapeake
Why Are Some Watersheds More Sediment-Productive Than Others? An Explainable AI Approach Read More »
Analyzing thousands of icebergs captured in time-lapse footage from Alaska and Greenland, this research demonstrates that logistic regression applied to visible width and height can help estimate the probability of instability providing engineers with a foundational, field-derived method for assessing capsize risk in Arctic coastal environments. The Challenge of Iceberg Capsize in Arctic Waters Iceberg
A structured Delft–Amsterdam research collaboration integrates bridge typologies, expected failure mechanisms, and satellite viewing geometry to translate one-dimensional MT-InSAR measurements into practical damage indicators, demonstrating how regional-scale millimetre-level displacement data can support systematic structural evaluation of urban bridge networks. The Urban Bridge Monitoring Dilemma Across Europe and beyond, bridge networks are aging under increasing traffic
Monitoring Amsterdams Bridges with InSAR Read More »
Researchers have developed an affordable tower-mounted SFCW radar built around a compact SDR-based VNA and enhanced RF front end. Operating in L- and C-bands with dual polarization, the system captures high-temporal-resolution microwave data on soil, vegetation, and snow processes—directly addressing the temporal gaps that limit satellite observations of rapid Earth system dynamics. The Challenge of
Low-Cost SFCW Radar Platform Advances Sub-Daily Environmental Monitoring Read More »
Researchers at Delft University of Technology have developed an analytical model that estimates fixed-wing UAV airspeed using only propeller power and rotational speed feedback from standard electronic speed controllers. This computationally efficient, model-free solution provides a practical alternative or redundancy to conventional Pitot tubes, achieving strong accuracy on real flight data. The Challenge of Reliable
UAV Airspeed Estimation using Propeller Feedback Read More »
