modeling-scooter-rides-in-paris

How different scooter companies hit the streets of Paris

Table of contents

• General info
• Technologies
• Setup
• Questions
• Analysis
• Objectives
• Screenshots
• Status

General info

This project is an analysis of the scooter ecosystem in Paris in March and early April 2019.

Technologies

Project is created with Python - version: 3.8.2.

Python libraries:

• pandas - version 1.1.1
• numpy - version 1.19.1
• geopandas - version 0.6.1
• descartes - version 1.1.0
• matplotlib - version 3.3.1
• seaborn - version 0.10.1

Setup

The input data consists of:

• a flat file (data-rides.csv, size of 744 MB) was not uploaded to GitHub
• four geospatial files used for data enrichment (arrondissements.dbf, arrondissements.prj, arrondissements.shp, arrondissements.shx)

The output data:

• modeling-scooter-rides-in-paris.ipynb (Jupyter Notebook)

Questions

Analysis

Objectives

Screenshots

Scooter fleet

Daily rides per company

Haversine formula for distance approximation

Daily fleet utilization - April 8, 2019

Hourly fleet utilization - April 8, 2019

Arrondissements in Paris

Louvre

Point in polygon

Where to deploy scooters in

Status

This project is finished.