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Digitally transforming deliveries
and collections in the gig-
economy: fairer and more
sustainable last mile parcel
logistics
Knowledge Exchange meeting, 29.4.2022
Motivation
Significant growth in
online sales &
returns
1
Free and low cost
delivery
2
Life-style and ‘gig’
economy workers
without guaranteed
or sufficient work
3
More dynamic and
sustainable
operating models
4
Digital mediated by
‘algorithms and
software’
5
We said we’d
š Investigate current gig economy courier activity (parcels and food)
š Look at inefficiency in delivery and collections
š Fairness and justice for workers
š How might we promote sustainability
š Use simulation, modelling and trials to evaluate the impact at scale
We did
DEVELOPED
METHODOLOGIES FOR
STUDYING GIG WORK
REMOTELY
CONDUCTED
FIELDWORK IN
MANCHESTER, YORK,
EDINBURGH (NEARLY
PARIS ;) – DESPITE A
PANDEMIC
UNCOVERED
CHALLENGES FACED
BY GIG LOGISTICS
WORKERS
WORKED WITH
COMMERCIAL
PARTNERS TO
UNDERSTAND THEIR
BUSINESS AS USUAL
LOOKED AT OTHER
WAYS OF DISTRIBUTING
WORK OPTIMALLY
PROPOSED MORE
SUSTAINABLE
APPROACHES
REUSING CIVIC ASSETS
– LEADING TO A TRIAL
IN YORK
Today
š We’d like to share what we’ve learnt
š Why we think this is valuable to
š Logistics - Deliver more sustainably using micro-consolidation
š Software - Avoid unfair algorithmic approaches and user interfaces
š Workers – benefit from more transparency to customers, fairer work conditions
š Cities – see how to design for this hidden demography
š Unions – reach a hard to reach/ represent population
Running order
10.00 Introductions and round table
10.30 Key results presentations
12.30 Lunch with ‘other outputs’ posters
14.00 Informal panel discussion on next steps
15.00 Wrap up
15.30 Finish
http://flipgig.org

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FlipGig Knowledge Exchange Event (Intro)

  • 1. Digitally transforming deliveries and collections in the gig- economy: fairer and more sustainable last mile parcel logistics Knowledge Exchange meeting, 29.4.2022
  • 2. Motivation Significant growth in online sales & returns 1 Free and low cost delivery 2 Life-style and ‘gig’ economy workers without guaranteed or sufficient work 3 More dynamic and sustainable operating models 4 Digital mediated by ‘algorithms and software’ 5
  • 3. We said we’d š Investigate current gig economy courier activity (parcels and food) š Look at inefficiency in delivery and collections š Fairness and justice for workers š How might we promote sustainability š Use simulation, modelling and trials to evaluate the impact at scale
  • 4. We did DEVELOPED METHODOLOGIES FOR STUDYING GIG WORK REMOTELY CONDUCTED FIELDWORK IN MANCHESTER, YORK, EDINBURGH (NEARLY PARIS ;) – DESPITE A PANDEMIC UNCOVERED CHALLENGES FACED BY GIG LOGISTICS WORKERS WORKED WITH COMMERCIAL PARTNERS TO UNDERSTAND THEIR BUSINESS AS USUAL LOOKED AT OTHER WAYS OF DISTRIBUTING WORK OPTIMALLY PROPOSED MORE SUSTAINABLE APPROACHES REUSING CIVIC ASSETS – LEADING TO A TRIAL IN YORK
  • 5. Today š We’d like to share what we’ve learnt š Why we think this is valuable to š Logistics - Deliver more sustainably using micro-consolidation š Software - Avoid unfair algorithmic approaches and user interfaces š Workers – benefit from more transparency to customers, fairer work conditions š Cities – see how to design for this hidden demography š Unions – reach a hard to reach/ represent population
  • 6. Running order 10.00 Introductions and round table 10.30 Key results presentations 12.30 Lunch with ‘other outputs’ posters 14.00 Informal panel discussion on next steps 15.00 Wrap up 15.30 Finish http://flipgig.org