---
# System prepended metadata

title: Mobility Data Science

---

# Mobility Data Science


Ideas for a book on open source software for working with, modelling and mapping emerging mobility datasets (or something like that).
The purpose of this repo is a place to bounce around ideas with the aim of publishing a book that will be available in print and for free as an open source project.

# Introduction 

There is clearly demand for a book on the subject but there has been little on the topic.
Robin is an established researcher and communicator on the topic of 'transport data science' and has taught for three years on a successful module of the same name.
Anita is a prominent developer and communicator.
Unikely, this collaboration will represent a bridge between the two main communities using data science techniques for mobility research.

# Other books in the field

https://www.amazon.co.uk/Data-Science-Transport-Self-Study-Environment/dp/3319729527

Others?

# Proposed content

Structure:

- Data 
- Methods
- Applications

The contents of the [Transport Data Science module](https://github.com/ITSLeeds/TDS) could provide a starter on this:

- Software for practical data science
  origin/destination, GIS
- Data cleaning and subsetting
- Accessing data from web sources
- Route assignment with remote routing services and locally installed software 
- Processing data using remote services and locally installed software
- Data visualization
- Machine learning
- Professional and ethical issues of big data in transport Transport
    data analysis
    
Plus:

- Trajectory data
- Route network analysis
- Modelling mode shift?

# Readership

# Questions

Should we write parallel R/Python chunks or keep them separate in separate chapters unless it seems easy to create simultanous book chunks?

Happy with the bookdown system for creating the free and open online version?

Should it have a subtitle such as Practical Introduction with R and Python?

Which publishers should we approach if any?

  - I vote O'Reilly or LeanPub as a starter for 10.


# References
