Posts

Introduction In this post, I am going to show how one might go about analysing the Bikeshare use in New York city. The purpose of this post is to demonstrate how to do some standard exploratory analysis and visualisation of a data set that has some spatial attributes, in open source software primarily in R.

Introduction Understanding the reach and effectiveness of public transit is important to understand how urban environments are accessible for different groups of people. Analysing fixed route public transit has become relatively straightforward with the introduction of the “General Transit Feed Specification”, a common standard for transit agencies to publish their schedules.

Introduction Some transportation networks are intuitive to understand as networks. We can easily visualize intersections as nodes and roadways as edges in a road network. A network analysis approach helps in understanding complex behaviour of systems such as transportation networks that would not be possible with other types of analyses that look at individual components as separate entities.

Introduction In other posts, I have shown how to use external servers (google, craigslist etc.) to access information. You can also query a local (on your computer) server and your R session acts like a client (e.

Some exploratory graphics using air pollution data in the US.

Intersection Density is often used as an indicator of urban form in travel behaviour and urban design. In this post, I detail a way to calculate this indicator by leveraging OpenStreetMap data. I also focus on how to link R & QGIS as an illustration.

Free form text is ubiquitous in planning, including plans, regulations, meeting minutes, and transcripts, etc. This is a short introduction to analysing such text quantitatively.

Using messy text fields to create some structure out of the datasets.

The following is a transcript for a podcast as part of the series called “Viewpoints on Resilient and Equitable Responses to the Pandemic" produced by Center for Urban and Regional Studies.