Railway Tracks and Stations in the city of San Diego, California

Access detailed datasets on railway tracks and stations across San Diego, tailored for GIS professionals focusing on infrastructure projects. This dataset encompasses 101 features that offer insights into local rail configurations, including both light rail and conventional rail types. Key examples like the Blue N line from San Ysidro to Trolley Plaza and the Orange NE line leading to Gillespie highlight specifications such as gauge, electrification, and maximum speed limits. Each entry provides comprehensive data points like electrified status, rail category, and usage, making this a useful resource for mapping and planning urban railway systems in San Diego.

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Within the dataset of Railway Tracks and Stations in San Diego, you'll find features like: • Blue N (San Ysidro to Trolley Plaza/12th & Imperial) • Orange NE Trolley Plaza/12th & Imperial to Gillespie • Blue N (Courthouse to America Plaza) • Orange SW Gillespie to Vernon • Orange Gillespie to Santee • Blue S (Trolley Plaza/12th & Imperial to San Ysidro) • Blue-Orange SE at Trolley Plaza • Blue-Orange NW at Trolley Plaza • Blue S (America Plaza to Courthouse) • Green-Blue S Crossover • Blue-Green N Crossover • Blue-Green N (Santa Fe Depot to Old Town) • Blue-Green S (Old Town to Santa Fe Depot) • Green SW (La Mesa to Old Town) • Green NE (Old Town to La Mesa) • Orange SW Vernon to Trolley Plaza/12th & Imperial • Blue-Orange N Crossover • San Diego • Green (Trolley Plaza / 12th & Imperial to Bayside Terminal) • Blue-Orange NW Downtown • Blue-Orange SE Downtown • Green NE (Trolley Plaza / Bayside Terminal to Santa Fe Depot) • Green SW (Santa Fe Depot to Trolley Plaza / Bayside Terminal) • Green-Blue N Crossover Upon creation of your Felt account, access your personalized interactive map of Railway Tracks and Stations in San Diego. Subsequently, utilize tools to customize, analyze, and export data in GeoPackage format. You'll also gain access to our extensive repository of pre-existing GIS data, featuring numerous additional datasets tailored for San Diego.