https://github.com/urbananalyst/m4ra

many-to-many multi-modal routing aggregator
https://github.com/urbananalyst/m4ra

gtfs open-street-map routing-engine

Last synced: 1 day ago
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many-to-many multi-modal routing aggregator

• Host: GitHub
• URL: https://github.com/urbananalyst/m4ra
• Owner: UrbanAnalyst
• Created: 2020-06-16T15:14:38.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2024-08-21T09:02:49.000Z (4 months ago)
• Last Synced: 2024-08-22T10:13:32.644Z (4 months ago)
• Topics: gtfs, open-street-map, routing-engine
• Language: R
• Homepage: https://urbananalyst.github.io/m4ra/
• Size: 5.72 MB
• Stars: 15
• Watchers: 9
• Forks: 2
• Open Issues: 2
• Metadata Files:
  • Readme: README.Rmd
  • Codemeta: codemeta.json

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# m4ra: Many-to-Many Multi-Modal Routing Aggregator

- Travel times using any combination of three transport modes: foot, bicycle,

  and public transport.

- Ratios of multi-modal times to equivalent travel times in private automobile,

  including local infrastructure-specific estimates of time delays due to

  parking.

## Data Needs

1. A representation of the local street network, in [`osmdata_sc`

   format](https://docs.ropensci.org/osmdata/reference/osmdata_sc.html),

   potentially including elevation data to accommodate effects of incline on

   pedestrian and bicycle travel times.

2. A GTFS (General Transit Feed Specification)-format data file of public

   transport data for the study city or location.

## How?

The following parameters need to be specified:

1. Name of city - used to name locally-cached files formed during pre-processing.

2. Day of the week for which public transport is to be analysed.

3. Starting time limits defining the public transport component of the journey,

   from which the fastest single journey to every destination will be

   calculated.

4. Initial and final modes of transport, as either pedestrian or bicycle.

5. A selection of starting points from which to calculate either multi-modal

   travel times, or durations of those times to equivalent automobile times.

Travel times are always calculated to every destination point in a given

network, with a single query returning matrices of times, one row for each

origin point, and columns holding travel times to all possible destination

points.