Beer Sheva Mobility Analysis

This repository contains two main components for analyzing mobility data in Beer Sheva:

1. POI Maps (@POI-Maps): Mapping analysis tools for Points of Interest.
2. Dashboard (@Dashboard): An interactive web dashboard for visualizing mobility patterns.

Dataset

The analysis is based on a comprehensive mobility dataset for Beer Sheva prepared by PGL Transportation Engineering and Planning Ltd. and collected by Decell. Key features include:

• Time period: November 2019 to February 2020, with additional data from July 2021
• Coverage: Hundreds of thousands of unique users aged 18+
• Scope: 13 Points of Interest (POIs) in Beer Sheva
• Data points: Origin, Destination, Purpose, Mode, Travel Time, Entry/Exit time from POIs, Frequency

The dataset is proprietary and not included in this repository.

POI Maps (@POI-Maps)

This component focuses on saving local maps and analysis of specific Points of Interest in Beer Sheva.

Key Features:

• Geospatial analysis of POIs
• Visualization of trip patterns around specific locations

Dashboard (@Dashboard)

The dashboard provides an interactive web interface for comparing patterns for different points of interest in Beer Sheva.

Key Features:

• Interactive maps showing trip distributions
• Charts for visualizing trip modes, purposes, and frequencies
• Time-based analysis of trip patterns

Usage

1. Ensure Docker is installed on your machine.

2. Place the required data files in the data folder:

   • All-Stages.xlsx
   • statisticalareas_demography2019.gdb
   • poi_with_exact_coordinates.csv

3. Open a terminal and navigate to the Dashboard folder.

4. Build the Docker image:

   docker build -t beer-sheva-dashboard .
   

5. Run the Docker container:

   docker run -p 8050:8050 beer-sheva-dashboard
   

6. Open a web browser and go to http://localhost:8050/ to view the dashboard.