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Open source software and open data in transport research, planning and modelling

Queen Mary’s Digital Environment Research Institute

Robin Lovelace, University of Leeds

2022-09-22

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Data can make a difference

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ActDev: a data driven tool for evidence-based planning

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ActDev: a data driven tool for evidence-based planning

Interactive demo: https://actdev.cyipt.bike/

Talbot, Joseph, et al. 2021. ‘Active Travel Oriented Development: Assessing the Suitability of Sites for New Homes’. https://osf.io/7fuq5/

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Too much data?

A nice problem to have?

Data historically a limiting factor

New approaches needed to tackle 'big noise'

Boyce, D.E., Williams, H.C.W.L., 2015. Forecasting Urban Travel: Past, Present and Future.

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Too much data?

A nice problem to have?

Data historically a limiting factor

New approaches needed to tackle 'big noise'

Boyce, D.E., Williams, H.C.W.L., 2015. Forecasting Urban Travel: Past, Present and Future.

Lovelace, Robin, Mark Birkin, Philip Cross, and Martin Clarke. 2016. ‘From Big Noise to Big Data' https://doi.org/10.1111/gean.12081.

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  • For most of the history of transport planning data scarcity has been a major concern
  • Now we have an abundance of datasets, many of them incompatible
  • Concrete example: OD to WPZ data in central London (could ask if anyone knows, it's a mess hehe)

Building new tools of the trade

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Building new tools of the trade

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  • Turing Fellowship
  • LIDA internship on open transport infrastructure data
  • Links with DfT, MHCLG, TfNH, international partners

Building new tools of the trade

  • Evidence-based policies in government: Data Science Fellowship at N. 10

  • Future areas of development: Reproducible Bayesian modelling of proportions (Dirichlet regression), Machine Learning, Decarbonisation Agenda

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  • Turing Fellowship
  • LIDA internship on open transport infrastructure data
  • Links with DfT, MHCLG, TfNH, international partners

The future of transport tools

Modular

Future proof

Scalable

Vector/

Raster/

Source: Morgan and Lovelace (2020) Implementation: stplanr

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The future of transport tools

Modular

Future proof

Scalable

Vector/

Raster/

Source: Morgan and Lovelace (2020) Implementation: stplanr

Approach: OD -> Desire Line -> Route -> Route Networks

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I am an all-round data scientist with experience with Python, Julia, and command line tools such as Docker and shell scripting for scalable data science applications.

I have particular expertise in R and geocomputation with R in particular.

Discussion: scalability vs resolution

Source: UKRI CREDS project repo

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Making transport data come to life

Source: Lovelace, Tennekes, Carlino (2022)

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Thanks, look forward to networking + questions 🖧 + 📈 + ✨ = 🚀!

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Thanks, look forward to networking + questions 🖧 + 📈 + ✨ = 🚀!

References

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Thanks, look forward to networking + questions 🖧 + 📈 + ✨ = 🚀!

References

Lovelace, R., Goodman, A., Aldred, R., Berkoff, N., Abbas, A., Woodcock, J., 2017. The Propensity to Cycle Tool: An open source online system for sustainable transport planning. Journal of Transport and Land Use 10. https://doi.org/10.5198/jtlu.2016.862

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Thanks, look forward to networking + questions 🖧 + 📈 + ✨ = 🚀!

References

Lovelace, R., Goodman, A., Aldred, R., Berkoff, N., Abbas, A., Woodcock, J., 2017. The Propensity to Cycle Tool: An open source online system for sustainable transport planning. Journal of Transport and Land Use 10. https://doi.org/10.5198/jtlu.2016.862

Morgan, M., Lovelace, R., 2020. Travel flow aggregation: nationally scalable methods for interactive and online visualisation of transport behaviour at the road network level. Environment & Planning B: Planning & Design. https://doi.org/10.1177/2399808320942779

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Thanks, look forward to networking + questions 🖧 + 📈 + ✨ = 🚀!

References

Lovelace, R., Goodman, A., Aldred, R., Berkoff, N., Abbas, A., Woodcock, J., 2017. The Propensity to Cycle Tool: An open source online system for sustainable transport planning. Journal of Transport and Land Use 10. https://doi.org/10.5198/jtlu.2016.862

Morgan, M., Lovelace, R., 2020. Travel flow aggregation: nationally scalable methods for interactive and online visualisation of transport behaviour at the road network level. Environment & Planning B: Planning & Design. https://doi.org/10.1177/2399808320942779

Lovelace, R., Tennekes, M., Carlino, D., 2021. ClockBoard: a zoning system for urban analysis. https://doi.org/10.31219/osf.io/vncgw

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Thanks, look forward to networking + questions 🖧 + 📈 + ✨ = 🚀!

References

Lovelace, R., Goodman, A., Aldred, R., Berkoff, N., Abbas, A., Woodcock, J., 2017. The Propensity to Cycle Tool: An open source online system for sustainable transport planning. Journal of Transport and Land Use 10. https://doi.org/10.5198/jtlu.2016.862

Morgan, M., Lovelace, R., 2020. Travel flow aggregation: nationally scalable methods for interactive and online visualisation of transport behaviour at the road network level. Environment & Planning B: Planning & Design. https://doi.org/10.1177/2399808320942779

Lovelace, R., Tennekes, M., Carlino, D., 2021. ClockBoard: a zoning system for urban analysis. https://doi.org/10.31219/osf.io/vncgw

Lovelace, Robin, Rosa Félix, and Dustin Carlino. “Jittering: A Computationally Efficient Method for Generating Realistic Route Networks from Origin-Destination Data.” OSF Preprints, January 13, 2022. https://doi.org/10.31219/osf.io/qux6g.

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Data can make a difference

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