Group 3 presentation

Team Members

  • Jonas - Researcher / Intra-household interactions in mobility behaviour
  • Helen - Researcher / Active mobility route choice
  • Xiao - Researcher / Synthetic cycling flows
  • Jaanika - Researcher / Social groups as lever for sustainable mobility change
  • Keren Or - Researcher / Climate effects on travel mobility

Data

We used the following Datasets:

Selected Project Ideas

We all just tried out different things, but this are some questions we tried to answer:

  • What trip purposes dominate for cross-border trips between Spain and France?
  • How does a public transport strike effect bikesharing usage?
  • How easy is it to get a routable cycling network from OpenStreetMap?
  • How can we improve the performance of the existing grid-based OD flows workbook?

Trip purposes for cross-border trips between Spain and France

What is the dominant trip purpose (work/study-related, leisure) for the cross-border trips between Spain and France?

Trip purposes for cross-border trips between Spain and France

Same question using National OD week dataset (previous file version)

Influence of a public transport strike on bikesharing

Aggregated origin-destination flows of bikesharing trips in Dresden on 2 March (“normal” Thursday)

Influence of a public transport strike on bikesharing

Aggregated origin-destination flows of bikesharing trips in Dresden on 3 March (Friday, 24 h public transport strike)

Generating a routable cycling network

This network took less than one hour to get with no previous knowledge of the osmextract package. And it looks quite reasonable, even though goo routing is another question.

Map of cyclable links in Dresden

OD-to-flows pipeline

  • Grid-based OD estimation in Pamplona (grid2demand)
  • Demand dictated by POIs
  • Validation results:
    • Pearson correlation: 0.1
    • Spearman correlation: 0.14

Improving the pipeline

  • Experimenting with different parameters (e.g. scaling factor, number of flows included)
  • Adding different POIs
  • Increasing the grid resolution
  • Decreasing the grid resolution - 9x5

Grid centroids (red) vs validation zones (blue)

Estimated flows

Estimated OD-flows

Routed flows

Routed OD-flows

Validation results

  • Pearson correlation: 0.1 → 0.11

  • Spearman correlation: 0.14 → 0.39

  • Spearman correlation is improving, suggesting that the ranking of flows is more accurate

  • Further improvements: adjusting the scaling factor, aligning the grid with the validation zones, adding more POIs, etc.