Submission for Active Travel Studies.

[GretaTimaite]

Following a short discussion in the issue #59, creating an issue dedicated to the paper submission to the new journal dedicated to active travel.

== how it all came about

Rather random but I came across this newly established journal dedicated to Active Travel Studies (it looks like an initiative stemming from Active Travel Academy at University of Westminster), which accepts a variety of publications. Maybe some reflections/experiences on teaching OSM + active travel could be written down and published, if we develop these ideas further.

Ideas:

• teaching OSM + active travel
• emphasis on open data and tools => increased reproducibility
• what others have done? (cyclestreets.net? A/B Street?)
• what we're doing (vignettes, workshops)

[hulsiejames]

Really like the look of this @GretaTimaite. Great find!

As you've already said, I think SOTM 2022 will be a great case study for this.

[GretaTimaite]

I think "Viewpoint" article would suit this topic better than "Research":

Viewpoints will offer informed analysis and critical views surrounding key and emerging issues in active travel research with suggestions for future directions as well as comment on emerging trends in the literature. These may be of length 3,500 to 8000 words in length.

This should give us plenty of space to think broadly about teaching/working with open data in transport research from a personal standpoint.

Right now I'm thinking that it might be useful to take the "challenges and opportunities" approach when structuring key ideas.

[GretaTimaite]

This comment is for a (not finished) list of papers I want to read at the intersection of open data/tools/science + teaching/education + data science/transport research. Actually, there seems to be a lack of academic papers on this or I am bad at finding them:

• [x] The use of open data as a material for learning
• [ ] Introducing Open Data Concepts to STEM Students Using Real-World Open Datasets
• [ ] Using the problem based learning method and educational technologies to teach open data: A design-based research approach
• [ ] Is Data Literacy a Catalyst of Social Justice? A Response from Nine Data Literacy Initiatives in Higher Education
• [ ] Modelling the potential effect of shared bicycles on public transport travel times in Greater Helsinki: An open data approach
• [ ] The State of Open Data (not all!)
• [ ] Volunteered and crowdsourced geographic information: the OpenStreetMap project -> broadly discusses a current wide use of OSM but overlooks the potential of OSM as transport infrastructure data, which Nelson et al. (2021) points out in the context of cycling
• [ ] Thinking spatial
• [ ] Local modeling: one size does not fit all
• [ ] Big issues for big data: challenges for critical spatial data analytics -> OSM as big data, thus potentialy(?) requiring new skills to work with its heterogeneity (different tagging systems, etc). I assume spatial analysis might be "easier" with OS because it's more formalized? Not certain about this as I have zero to none exp working with other large spatial datasets.
• [x] What makes Big Data, Big Data? Exploring the ontological characteristics of 26 datasets -> touches upon OSM
• [ ] Characterizing the Heterogeneity of the OpenStreetMap Data and Community

Please add any relevant reads that you've come across.

[Robinlovelace]

Actually, there seems to be a lack of academic papers on this or I am bad at finding them:

There's a lack of papers :+1:

[GretaTimaite]

An argument for localised transport planning from Lam's article (2022)

City planners use cycle counts to guide decisions on where to install cycling infrastructure (Golub et al., 2016). However, cycle counts typically rely on methods like automatic traffic counters and camera sensors, which only capture quantitative data about the total numbers of cyclists and not socioeconomic demographics, like age, ethnicity or gender (Goodman, McDonald and Laverty, 2021; Golub et al., 2016).

I think it also points to the importance of participatory planning in which open crowdsourced data, e.g.OSM, could play a role through data generation + analysis.