Optimizing Parking at TXST: Identifying Ideal Locations and Smart Allocation Strategies​

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Adhikari, Saksham; Kusum Bhattarai Sharma; Raghav Ojha; Ajay Bethireddy, 2025, "Optimizing Parking at TXST: Identifying Ideal Locations and Smart Allocation Strategies​", https://doi.org/10.18738/T8/F9VCDG, Texas Data Repository, V1, UNF:6:GEQi3ltiiWEI1+G9+XUBkw== [fileUNF]
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Description
students.csv Columns: Campus, Class, Department, Gender, Housing, Level, Semester, Year Contains enrollment data by college, major, and housing Year stored as float64, Semester as categorical (Fall, Spring, Summer) dorm.csv Columns: dorm_name, capacity, latitude, longitude, formatted_address, place_id Contains dorm information and geolocation data green_lots.csv Columns: Location, Latitude, Longitude, Spaces Contains parking lot information and capacity data Data Collection Process Used Firecrawl API to scrape parking statistics Utilized Google Maps API for geocoding dorm locations Manually corrected some coordinates for improved accuracy Performed inner joins on name columns for data consolidation
Subject Computer and Information Science; Other
Keyword AI, Machine Learning
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ConsolidatedData.xlsx
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