Comments (3)
To build an attributed network we merged the street network derived from OSM, after removing e.g. footpaths, motorways, with the attribute information contained in the Apur dataset using OSM IDs. [...] The resulting dense cycling network consists of 25β197 edges (street segments) and 17β073 nodes. A new street segment is defined at every intersection or where cycling infrastructure changes and contains information on street characteristics such as speed limit (derived from OSM attributes) and the type of infrastructure provided (based on Apur data).
We could replicate this method if we wanted to try out what @Liyubov proposes in #18
One final limitation is important. Our work describes the state of infrastructure in a city in the form of suitability, and then uses this suitability to model bikeability across a large urban centre. The approach is designed to give an overview at the city and neighbourhood level, based on a reproducible method which models both suitability of cycling infrastructure, and its relationship with a meaningful accessibility model. It does not however replace local knowledge which is an essential component of detailed planning of cycling infrastructure.
I like this comment, very much in line with the previous studies that the City of Paris purchased for picking exact bike parking locations :)
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Yes there is more research on this for other cities, which @ryanrakusin and others spotted.
The article is good catch, maybe to test with new data, simplify their results and show them to City hall could be a good idea.
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Closed because we already presented the highlights from the article in a meeting with the city
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Related Issues (20)
- Streaming data from velib stations HOT 4
- Systematic review for best practices in cities HOT 4
- Analyse bicycle network using network measures HOT 7
- Collect citizen data on missing bike parking HOT 6
- Something like direkt.bahn.guru but for vΓ©lib HOT 6
- Setup requirements management HOT 1
- Amsterdam bicycle planning resources HOT 1
- Collecting topics for next meeting with City of Paris HOT 2
- DVC remote isn't working HOT 5
- Calibrate variables for IRIS model HOT 3
- Create data overview for IRIS model HOT 8
- Blog article(s) for CorrelAid blog [Project outcomes for community] HOT 3
- Open Online Data Meetup [Project outcomes for community] HOT 3
- Agreeing on a deliverable (web app?) for parking demand index HOT 14
- Documentation HOT 1
- App issues to resolve until presentation HOT 14
- Host app HOT 5
- Normalize metrics by area HOT 3
- Scheduled data pipeline HOT 3
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