jomarie04/Transportation_Routes_Dataset

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license: cc-by-4.0 task_categories: - data-analysis - mapping - recommendation language: - en - tl pretty_name: Philippine Transportation Routes Dataset size_categories: - 1K<n<10K

🚌 Philippine Transportation Routes Dataset

Dataset Description

The Philippine Transportation Routes Dataset contains information about major public transport routes in the Philippines, including buses, jeepneys, and trains.
It includes route names, starting point, destination, stops, and estimated travel time.

This dataset is useful for route optimization, transportation planning, mapping applications, and urban mobility research.

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📌 Dataset Details

File Format: CSV
File Name: ph_transport_routes.csv
Total Columns: 6

Columns

Column Name	Description
route_id	Unique identifier for the route
transport_type	Jeepney, Bus, Train
start_point	Starting location of the route
end_point	Ending location of the route
major_stops	Key stops along the route (comma-separated)
estimated_travel_time_minutes	Average travel time in minutes

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📊 Sample Data

route_id	transport_type	start_point	end_point	major_stops	estimated_travel_time_minutes
J01	Jeepney	Quiapo	Divisoria	Carriedo, Recto	25
B12	Bus	Cubao	Alabang	Ortigas, Muntinlupa	60
T03	Train	North Ave	Taft Ave	Quezon Ave, Ayala	35
J07	Jeepney	Baclaran	Pasay	EDSA, Libertad	30
B05	Bus	Lipa	Batangas City	Ibaan, Lemery	90

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🎯 Possible Use Cases

• Route planning apps
• Urban mobility analysis
• Public transport optimization
• Travel time estimation
• Mapping and GIS projects

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🛠 How to Use

Example usage in Python:

import pandas as pd

df = pd.read_csv("ph_transport_routes.csv")
print(df.head())