Online Tool Evaluates Walkability and 15-Minute City Accessibility Across Major Urban Centers
An online platform has been developed to assess how close major cities around the world are to the 15-minute city ideal, where essential amenities are accessible within a 15-minute walk or bike ride for residents.
Optimizing Bike Lane Allocation in Urban Areas: Balancing Cycling and Motorized Traffic
The paper proposes a framework to optimize the allocation of bike lanes in urban areas, considering the trade-off between improving the bike network and minimizing the impact on the car network. The key idea is to formulate the problem as a multi-criteria optimization problem and solve it using a linear programming approach.
Superblockify: A Python Package for Automated Generation, Visualization, and Analysis of Potential Superblocks in Cities
superblockify is a Python package that enables the automated generation, visualization, and analysis of potential superblocks in cities, supporting data-driven urban planning and research.
Exploring the Debate: Are Suburbs Truly Problematic?
Suburbs are a contentious topic, with strong opinions on both sides regarding their merits and drawbacks.
Integrating Urban Digital Twins with Geospatial Dashboards for Coastal Resilience Planning in Florida
Integrating urban digital twins with geospatial dashboards enhances community awareness and facilitates decision-making for coastal resilience planning.
PlanGPT: Enhancing Urban Planning with Tailored Language Model and Efficient Retrieval
PlanGPT is a specialized Large Language Model tailored for urban and spatial planning, addressing unique challenges and enhancing efficiency for urban professionals.
Understanding the Impact of Urban Design on Public Transit Efficiency and CO2 Emissions Reduction
Urban design significantly influences public transit efficiency and carbon emissions reduction.
Analyzing Street Network Resilience to Disruptions Worldwide
Effective street network design characteristics enhance resilience and efficiency in the face of disruptions.
PlanGPT: Enhancing Urban Planning with Tailored Language Model and Efficient Retrieval
Urban planning tasks are enhanced through the specialized Large Language Model, PlanGPT, tailored for urban and spatial planning needs.
Analyzing Housing Quality in Amsterdam Using Cross-Modal Learning
Combining ground-level and aerial imagery can improve the prediction of housing quality in Amsterdam.