I’m working through the CVEN9405 Urban Transport Planning practical and need a concise set of ArcGIS-based scripts to examine current network performance and develop scenario-level insights. Scope • Import the supplied GTFS feeds, road centreline shapefiles and traffic count tables. • Automate their clean-up and spatial join so that all layers share one projected CRS. • Generate heat maps for peak-hour passenger volumes, intersection delay and walk-access coverage. • Produce comparative metrics—average trip time, catchment population within 400 m of stops, VKT change—so I can plug the numbers straight into my report. Technical details • Please write the workflow in Python using ArcPy; lean on ModelBuilder only where it genuinely speeds things up. • Keep the code modular: one script for data prep, one for analysis, one for map outputs (PDF & PNG). • All processing must run in ArcGIS Pro 3.x; if you want to prototype in QGIS or GeoPandas first, that’s fine as long as the final deliverable executes cleanly in ArcGIS. Deliverables 1. Three documented .py scripts plus any toolbox files. 2. An MXD or APRX with the finished thematic layers and pre-formatted map layouts. 3. A brief README (≤2 pages) explaining inputs, parameters and how to rerun the workflow on new data. Acceptance criteria – Scripts run without manual tweaks on my machine. – Output metrics match the sample figures I provide within ±2 %. – Maps render legibly at A3. If anything is unclear, let’s sort it out early so the coding phase stays smooth.