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https://github.com/robinlovelace/open-transport-models-developing-cities

Paper on open source tools for evidence based and participatory transport planning
https://github.com/robinlovelace/open-transport-models-developing-cities

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Paper on open source tools for evidence based and participatory transport planning

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README

        

# Setup

To get started with writing:

- Download and install VS Code

- Install the [Quarto
extension](https://quarto.org/docs/getting-started/installation.html#installing-the-quarto-vs-code-extension)
for VS Code

- Download this repo, either by cloning it or by clicking on green Code
button in the top right of the GitHub repo and clicking [Download
Zip](https://github.com/Robinlovelace/open-transport-models-developing-cities/archive/refs/heads/main.zip)
or by following instructions on how to clone the repo (you need a
GitHub account)

- Unzip the folder if needs be, open it with VS Code

- Convert the .qmd file into the paper with `quarto render README.qmd`
(Ctrl+Shift+K works also)

- Edit the README.qmd file to add your content. You can edit in visual
mode by clicking on the three dots in the top right of the editor as
shown below, and selecting Visual Editor

![](images/paste-1.png)

# Open source tools for transport planning in developing cities

The goal of this repo is to provide a place to collaborate on a paper
about open transport tools and models for developing cities.

It is motivated by recent experience of using open source software for
transport planning.

(Lovelace 2021)

Citations should look a bit like this:

(“Freiburg” 2016)

(Murray et al. 2020)

# References

“Freiburg.” 2016. In, 23–39. Routledge.
.

Lovelace, Robin. 2021. “Open Source Tools for Geographic Analysis in
Transport Planning.” *Journal of Geographical Systems*, January.
.

Murray, Christopher J L, Aleksandr Y Aravkin, Peng Zheng, Cristiana
Abbafati, Kaja M Abbas, Mohsen Abbasi-Kangevari, Foad Abd-Allah, et al.
2020. “Global Burden of 87 Risk Factors in 204 Countries and
Territories, 19902019: A Systematic Analysis for the Global Burden of
Disease Study 2019.” *The Lancet* 396 (10258): 1223–49.
.