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 »
Insights into Multi-National Infrastructure Management This study examines a configuration of seven interorganizational governance mechanisms across three levels in the BiOceanic Corridor program, addressing institutional complexities from diverse national environments in Brazil, Paraguay, Argentina, and Chile, extending prior research focused on single-institutional contexts. Challenges in Transnational Infrastructure Governance and Their Significance Transnational infrastructure megaprojects, such
BiOceanic Corridor Megaproject as the new Panama Canal? Read More »
This study employs Google Earth Engine and Landsat 7 imagery alongside random forest classification to analyze multitemporal trends in oxbow lake area, water types, and hydrologic connectivity, providing insights into ecohydrological processes and fish habitat availability in data-scarce tropical river systems such as Bolivia’s Beni River. Challenges in Floodplain Dynamics Monitoring Meandering river floodplains, such
Remote Sensing for Oxbow Lake Monitoring in Turbid Floodplains Read More »
New research from TU Delft demonstrates how a Dutch digital platform for modular timber construction applies the DART co-creation framework to overcome the sector’s unique challenges of fragmentation, inefficiency and resistance to change, fostering stakeholder collaboration, transparency and scalable low-carbon practices. The construction industry accounts for approximately 40% of global energy use, around 30% of
Digital Platforms: Catalysts for Sustainability Transitions in Construction Read More »
Enhancing Wake Recovery in Dense VAWT Arrays Explore this experimental study on regenerative wind farming, where vertical-axis wind turbines in a high-density grid employ vortex generator modes via blade pitching to entrain momentum, yielding available power increases of up to 6.4 times for downstream rotors and advancing efficiency in wind energy systems. Addressing Wake Losses
Regenerative Wind Farming Using Vertical-Axis Turbines Read More »
This study develops a framework combining UAV photogrammetry with multi-layered perception methods to examine blue-green infrastructure’s effects on visual attention, preferences, and cognitive interpretations in historic urban areas, offering replicable tools for heritage-sensitive planning and evaluation. Underexplored Visual Role of Blue-Green Infrastructure in Historic Urban Areas Historic urban areas (HUAs) serve as repositories of cultural
Visual Impact of Blue-Green Infrastructure in Historic Urban Areas Read More »
This pioneering research transforms subsidence risk assessment by merging InSAR satellite data with gravimetric mapping, offering a data-driven upgrade to outdated zoning practices and enhancing urban safety in groundwater-dependent regions, around 45 words of cutting-edge engineering insight. Unraveling the Land Subsidence Crisis in Aguascalientes: Why It Demands Urgent Attention In the heart of Mexico’s Aguascalientes
Land Subsidence in Aguascalientes, Mexico: Innovative InSAR and Gravimetric Surveys Read More »
This research refines a GIS-based toolbox by integrating high-resolution land-cover data and new models for afforestation and riparian forest buffers, applied to six European river basins to map suitable locations for large-scale nature-based solutions that reduce hydrometeorological risks and highlight opportunities for combined implementations. Addressing the Escalating Hydrometeorological Risks with Nature-Based Solutions Climate change is
Annual Memory in the Terrestrial Water Cycle 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 »
Explore an integrated framework that combines data-driven modeling with simulation technologies to facilitate collaboration between small agriculture and forestry businesses, improving resource utilization and addressing seasonal demand variations in transportation management, offering practical insights for enhanced efficiency in developing EU economies like Latvia. Addressing Seasonal Challenges in Agricultural and Forestry Transportation Small enterprises in agriculture
Optimizing Transportation Through Cross-Sector Data-Driven Simulation Read More »
