SlideShare a Scribd company logo
Using public
assets as parcel
delivery hubs
Concept, aim and
supporting policy
• Use public assets (e.g. community
centres, libraries or car parks) as
hubs for transfer of parcels to cycle
couriers or porters for last-mile
delivery
• Greener transport, by reducing
stem mileage and reliance on
(mainly) diesel vans
• Decarbonisation and air quality
targets incentivise local authorities
to actively support such initiatives
Image: https://kyburz-switzerland.ch/
Mobile depot – Brussels – Straightsol project
Image: straightsol.eu
Shared parcel carrier hub example in Berlin
Image: https://www.komodo.berlin/
Image: https://www.behala.de/en/the-future-of-urban-logistics/
Overview of this presentation
Case study in York to:
• Determine suitable hub locations
• Assess time, distance, emissions savings from using porters or cycles
Comparative case studies in Hampshire to investigate how savings
change with population density (or delivery density)
Town/city Population
Area
(km2)
Population density
(person/km2)
Portsmouth 238,137 37.34 6,380
Romsey 17,161 5.24 3,270
Lyndhurst 2,347 1.13 2,080
Case study example using car parks within York ring road
Image: hotels.com Image: yorkconservatives.co.uk
Case study example using car parks within York ring road
• Parcel delivery data of a major parcel carrier for a
single day of operation (19 May 2021)
• 3900 deliveries, 70 collections, 47 couriers (=
85 parcels/courier on average)
• area ~50km2 (80 parcels per sq. km)
• depot 10km from city centre (= significant
stem mileage)
• Total parcel weight and volume estimated to
be 3.2 tonnes and 32m3
• Individual parcels small and light; only 29
parcels modelled as being too heavy or bulky
for a porter or cycle courier
24 public car parks considered as potential MC locations
Case study example using car parks within York ring road
• Parcel delivery data of a major parcel carrier for a
single day of operation (19 May 2021)
• 3900 deliveries, 70 collections, 47 couriers (=
85 parcels/courier on average)
• area ~50km2 (80 parcels per sq. km)
• depot 10km from city centre (= significant
stem mileage)
• Total parcel weight and volume estimated to
be 3.2 tonnes and 32m3
• Individual parcels small and light; only 29
parcels modelled as being too heavy or bulky
for a porter or cycle courier
24 public car parks considered as potential MC locations
©2022 Esri UK
Walking and cycling options for last-mile delivery
Image: ecofleet.co.uk
Van
Porter
1000L trolley
Cyclist
620L box Units
individual parcel weight - 5 5 kg (max)
Individual parcel volume - 66 66 L (max)
Total load weight 1000 200 125 kg (max)
Total load volume 10000 1000 620 L (max)
Average speed 30 5 16 kph
Time at address (inc. MC) 3 1 2 minutes
Total time allowed - 4.5 4.5 hours (max)
Modelling parameters assumed
Image: www.ecofleet.co.uk
Image: fernhay.com
Modelling method – ‘portering’ algorithm
Bespoke heuristic algorithm which simultaneously determines:
• Allocation of parcels to selected MCs
• Van routes (depot MCs, collections, heavy or bulky deliveries depot)
• Porter (or cycle) routes (MC deliveries MC)
Inputs include:
Depot and MC locations; Delivery addresses; Parcel weights & volumes;
O-D matrices (travel times between locations); Carrying capacity constraints;
Time per delivery; Costs for van&driver, porter or cycle courier (£/hr)
Objective: Minimise total cost
Complex algorithm – managed to cope with York (4000 parcels) but not on
larger problems (e.g. Portsmouth, with 6000+ parcels)
Decomposition method (for larger problems)
1. All parcels are allocated to their nearest MC
2. Deliveries from each MC (by porter or cycle courier) solved as a
CVRP (capacitated vehicle routing problem) using Google OR-Tools
3. Van routes obtained using commercial vehicle routing software
Comparison of distances travelled (York)
0
200
400
600
800
1000
1200
1400
1600
1800
47 vans 50 bikes&4 vans 35 porters&4 vans
Distance
(km)
Delivery method
Van km Cycle km Walking km
Van travel reduced by 88% with corresponding
reduction in associated vehicle emissions
Daily emissions savings equate to 400kg CO2
and 450g NOx for this one carrier
Greater savings possible if more than one
carrier participates in micro-consolidation
More cycling than walking here due to
assumed carrying capacities: bike (620L),
trolley (1000L)
Comparison of time taken
This result based on assumed
delivery times of 1, 2 and 3
minutes per delivery for
porter, cyclist and van driver,
respectively
0
50
100
150
200
250
300
47 vans 50 bikes&4 vans 35 porters&4 vans
Time
(hours)
Van/car travel Van/car non-travel Cycle travel
Cycle non-travel Porter travel Porter non-travel
MC usage (for portering example)
16 of the 24 car parks were selected for use by
the portering algorithm
The space requirement ranged from 0.5m3 to
5.5m3 (a standard roll cage is around 1m3)
Green = selected; blue = not selected
Map data ©2022 Google
Assuming fewer hubs available (Portsmouth)
Total parcels 6196 50.7m3
Map data ©2022 Google
How number of hubs impacts time taken
0
20
40
60
80
100
120
3 4 5 6
Hours
Number of MCs
Walking (h) Driving (h)
5 hubs are sufficient for
Portsmouth (minimal gain
increasing to 6)
Reducing to 4 hubs adds 10%
walking time; reducing to 3 hubs
adds 20%
Minimal effect on driving times
Micro-consolidation on a smaller scale (Romsey)
Romsey (9 miles north west of Southampton)
Population (2011 census) = 17,161
Population density = 3,270 people/km2
Area = 5.24km2
Image: test-valley.gov.uk
Micro-consolidation on a smaller scale (Romsey)
Candidate MCs
• Abbotswood CC
• Woodley Village Hall
• Montfort Hall
• Crosfield Hall
• Romsey Library
Abbotswood chosen as
(marginally) most central
to all deliveries
Locations >3km from MC
(orange/red) to be
retained by van drivers
Romsey (Hampshire) population (2011 census) = 17,161
Population density = 3,270 people/km2
Area = 5.24km2
Postcodes visited by 11 couriers in Romsey area (coloured by distance from centre)
©2022 Esri UK
7 Romsey ‘portering’ trips within 3km of MC
Red trip is 29km,
more suited to
cargo bike
Average of others
is 11.3km (7 miles)
Portsmouth(5MCs)
average trip was
7.5km
Lyndhurst (Hampshire)
Lyndhurst (9 miles west of Southampton)
Population (2011 census) = 2,347
Population density = 2,080 people/km2
Area = 1.13km2
Image: visit-hampshire.co.uk
Lyndhurst (Hampshire)
Town is a traffic bottleneck,
especially in summer
Two couriers made 98 deliveries
(700L volume) and one collection
All within 3km of proposed MC in
town centre (community centre)
Could be done by a single cycle
courier (19.6km) in 4.5 hours
Postcodes visited by 2 couriers (‘blue’ and ‘green’) in Lyndhurst
©2022 Esri UK
Van distance per parcel (km)
Van distance
savings
Portsmouth 95%
Romsey 81%
Lyndhurst 67%
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
Portsmouth Romsey Lyndhurst
Van
distance
per
parcel
(km)
Business-as-usual Micro-consolidation
Total time taken per parcel (minutes)
Time savings
Portsmouth 53%
Romsey 31%
Lyndhurst 27%
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
4.5
5.0
Portsmouth Romsey Lyndhurst
Time
taken
per
parcel
(minutes)
Business-as-usual Micro-consolidation
Sensitivity of time savings to assumed delivery time for van
-40%
-30%
-20%
-10%
0%
10%
20%
30%
40%
50%
60%
1 1.5 2 2.5 3
Total
time
savings
of
micro-consolidation
BAU minutes/delivery
Portsmouth Romsey Lyndhurst
Cost considerations
• BAU is taking advantage of gig workers’ own vehicles at no cost to the
parcel carrier (unless pay takes into account)
• Alternative options would involve:
• Trollies or cargo bikes about £5,000 each
• Electric vehicle charging cost
• Rental of hub (unless council provide for free)

More Related Content

Similar to FlipGig Micro-consolidation of parcel deliveries using public assets

Shortsea oslo2010 dfds_ole_sehested
Shortsea oslo2010 dfds_ole_sehestedShortsea oslo2010 dfds_ole_sehested
Shortsea oslo2010 dfds_ole_sehested
Shortsea Promotion Centre Norway
 
An independent view of transport
An independent view of transportAn independent view of transport
An independent view of transport
SKM Colin Buchanan
 
COMMIX
COMMIXCOMMIX
Commission on Travel Demand Shared Mobility Inquiry Evidence Session 2
Commission on Travel Demand Shared Mobility Inquiry Evidence Session 2Commission on Travel Demand Shared Mobility Inquiry Evidence Session 2
Commission on Travel Demand Shared Mobility Inquiry Evidence Session 2
CREDSUK
 
Heliopolis tramway (1)
Heliopolis tramway (1)Heliopolis tramway (1)
Heliopolis tramway (1)
norhan mohamed
 
Developing a methodology to quantify emissions associated with excess capacit...
Developing a methodology to quantify emissions associated with excess capacit...Developing a methodology to quantify emissions associated with excess capacit...
Developing a methodology to quantify emissions associated with excess capacit...
Institute for Transport Studies (ITS)
 
Sustainable public transport research - Lochlan
Sustainable public transport research - LochlanSustainable public transport research - Lochlan
Sustainable public transport research - Lochlan
Mrs Hepburn's Classes
 
Commission on Travel Demand Shared Mobility Inquiry Evidence Session 1
Commission on Travel Demand Shared Mobility Inquiry Evidence Session 1Commission on Travel Demand Shared Mobility Inquiry Evidence Session 1
Commission on Travel Demand Shared Mobility Inquiry Evidence Session 1
CREDSUK
 
Presentationinpittsburghoneuropeanstreetdesignpwpbpp2014 141016184545-convers...
Presentationinpittsburghoneuropeanstreetdesignpwpbpp2014 141016184545-convers...Presentationinpittsburghoneuropeanstreetdesignpwpbpp2014 141016184545-convers...
Presentationinpittsburghoneuropeanstreetdesignpwpbpp2014 141016184545-convers...
Phong Lưu
 
What I learned on my Bike Ride across Europe
What I learned on my Bike Ride across EuropeWhat I learned on my Bike Ride across Europe
What I learned on my Bike Ride across Europe
bartus007
 
Commission on Travel Demand Shared Mobility Inquiry – Evidence Session 4
Commission on Travel Demand Shared Mobility Inquiry – Evidence Session 4Commission on Travel Demand Shared Mobility Inquiry – Evidence Session 4
Commission on Travel Demand Shared Mobility Inquiry – Evidence Session 4
CREDSUK
 
Delivering smarter transport networks for auckland
Delivering smarter transport networks for aucklandDelivering smarter transport networks for auckland
Delivering smarter transport networks for auckland
Auckland Transport
 
Parcel delivery utilizing cargo bike in downtown Brooklyn area
Parcel delivery utilizing cargo bike in downtown Brooklyn areaParcel delivery utilizing cargo bike in downtown Brooklyn area
Parcel delivery utilizing cargo bike in downtown Brooklyn area
Joseph Chow
 
Urban Freight consolidation centres-Trends, challenges, solutions
Urban Freight consolidation centres-Trends, challenges, solutionsUrban Freight consolidation centres-Trends, challenges, solutions
Urban Freight consolidation centres-Trends, challenges, solutions
Marcelo Felipozzi
 
2015.oct eclei j'burg v2
2015.oct  eclei j'burg v22015.oct  eclei j'burg v2
2015.oct eclei j'burg v2
ICLEI
 
Promoting Sustainable Cities using Green transport
Promoting Sustainable Cities using Green transportPromoting Sustainable Cities using Green transport
Promoting Sustainable Cities using Green transport
JIT KUMAR GUPTA
 
Smarter Travel: what’s it all about?
Smarter Travel: what’s it all about?Smarter Travel: what’s it all about?
Trends in light rail in Europe by Keolis Metro & Light Rail Director
Trends in light rail in Europe by Keolis Metro & Light Rail DirectorTrends in light rail in Europe by Keolis Metro & Light Rail Director
Trends in light rail in Europe by Keolis Metro & Light Rail Director
Keolis
 
Sustainable transport development_hk
Sustainable transport development_hkSustainable transport development_hk
7A_2_Preliminary results of a spatial analysis of dublin citys bike rental sc...
7A_2_Preliminary results of a spatial analysis of dublin citys bike rental sc...7A_2_Preliminary results of a spatial analysis of dublin citys bike rental sc...
7A_2_Preliminary results of a spatial analysis of dublin citys bike rental sc...
GISRUK conference
 

Similar to FlipGig Micro-consolidation of parcel deliveries using public assets (20)

Shortsea oslo2010 dfds_ole_sehested
Shortsea oslo2010 dfds_ole_sehestedShortsea oslo2010 dfds_ole_sehested
Shortsea oslo2010 dfds_ole_sehested
 
An independent view of transport
An independent view of transportAn independent view of transport
An independent view of transport
 
COMMIX
COMMIXCOMMIX
COMMIX
 
Commission on Travel Demand Shared Mobility Inquiry Evidence Session 2
Commission on Travel Demand Shared Mobility Inquiry Evidence Session 2Commission on Travel Demand Shared Mobility Inquiry Evidence Session 2
Commission on Travel Demand Shared Mobility Inquiry Evidence Session 2
 
Heliopolis tramway (1)
Heliopolis tramway (1)Heliopolis tramway (1)
Heliopolis tramway (1)
 
Developing a methodology to quantify emissions associated with excess capacit...
Developing a methodology to quantify emissions associated with excess capacit...Developing a methodology to quantify emissions associated with excess capacit...
Developing a methodology to quantify emissions associated with excess capacit...
 
Sustainable public transport research - Lochlan
Sustainable public transport research - LochlanSustainable public transport research - Lochlan
Sustainable public transport research - Lochlan
 
Commission on Travel Demand Shared Mobility Inquiry Evidence Session 1
Commission on Travel Demand Shared Mobility Inquiry Evidence Session 1Commission on Travel Demand Shared Mobility Inquiry Evidence Session 1
Commission on Travel Demand Shared Mobility Inquiry Evidence Session 1
 
Presentationinpittsburghoneuropeanstreetdesignpwpbpp2014 141016184545-convers...
Presentationinpittsburghoneuropeanstreetdesignpwpbpp2014 141016184545-convers...Presentationinpittsburghoneuropeanstreetdesignpwpbpp2014 141016184545-convers...
Presentationinpittsburghoneuropeanstreetdesignpwpbpp2014 141016184545-convers...
 
What I learned on my Bike Ride across Europe
What I learned on my Bike Ride across EuropeWhat I learned on my Bike Ride across Europe
What I learned on my Bike Ride across Europe
 
Commission on Travel Demand Shared Mobility Inquiry – Evidence Session 4
Commission on Travel Demand Shared Mobility Inquiry – Evidence Session 4Commission on Travel Demand Shared Mobility Inquiry – Evidence Session 4
Commission on Travel Demand Shared Mobility Inquiry – Evidence Session 4
 
Delivering smarter transport networks for auckland
Delivering smarter transport networks for aucklandDelivering smarter transport networks for auckland
Delivering smarter transport networks for auckland
 
Parcel delivery utilizing cargo bike in downtown Brooklyn area
Parcel delivery utilizing cargo bike in downtown Brooklyn areaParcel delivery utilizing cargo bike in downtown Brooklyn area
Parcel delivery utilizing cargo bike in downtown Brooklyn area
 
Urban Freight consolidation centres-Trends, challenges, solutions
Urban Freight consolidation centres-Trends, challenges, solutionsUrban Freight consolidation centres-Trends, challenges, solutions
Urban Freight consolidation centres-Trends, challenges, solutions
 
2015.oct eclei j'burg v2
2015.oct  eclei j'burg v22015.oct  eclei j'burg v2
2015.oct eclei j'burg v2
 
Promoting Sustainable Cities using Green transport
Promoting Sustainable Cities using Green transportPromoting Sustainable Cities using Green transport
Promoting Sustainable Cities using Green transport
 
Smarter Travel: what’s it all about?
Smarter Travel: what’s it all about?Smarter Travel: what’s it all about?
Smarter Travel: what’s it all about?
 
Trends in light rail in Europe by Keolis Metro & Light Rail Director
Trends in light rail in Europe by Keolis Metro & Light Rail DirectorTrends in light rail in Europe by Keolis Metro & Light Rail Director
Trends in light rail in Europe by Keolis Metro & Light Rail Director
 
Sustainable transport development_hk
Sustainable transport development_hkSustainable transport development_hk
Sustainable transport development_hk
 
7A_2_Preliminary results of a spatial analysis of dublin citys bike rental sc...
7A_2_Preliminary results of a spatial analysis of dublin citys bike rental sc...7A_2_Preliminary results of a spatial analysis of dublin citys bike rental sc...
7A_2_Preliminary results of a spatial analysis of dublin citys bike rental sc...
 

More from Adrian Friday

Where's the value in energy data science? Finding energy savings opportuniti...
Where's the value in energy data science?  Finding energy savings opportuniti...Where's the value in energy data science?  Finding energy savings opportuniti...
Where's the value in energy data science? Finding energy savings opportuniti...
Adrian Friday
 
Paris ICT & Sufficiency Intervention June 2022.pdf
Paris ICT & Sufficiency Intervention June 2022.pdfParis ICT & Sufficiency Intervention June 2022.pdf
Paris ICT & Sufficiency Intervention June 2022.pdf
Adrian Friday
 
FlipGig Logistics Chaire Intl Seminar Paris Nov 2022.pdf
FlipGig Logistics Chaire Intl Seminar Paris Nov 2022.pdfFlipGig Logistics Chaire Intl Seminar Paris Nov 2022.pdf
FlipGig Logistics Chaire Intl Seminar Paris Nov 2022.pdf
Adrian Friday
 
British HCI - design of energy demand in the home-ajf-11July2022.pdf
British HCI - design of energy demand in the home-ajf-11July2022.pdfBritish HCI - design of energy demand in the home-ajf-11July2022.pdf
British HCI - design of energy demand in the home-ajf-11July2022.pdf
Adrian Friday
 
Advance CRT Keynote - 10 May 2022 - AJF.pdf
Advance CRT Keynote - 10 May 2022 - AJF.pdfAdvance CRT Keynote - 10 May 2022 - AJF.pdf
Advance CRT Keynote - 10 May 2022 - AJF.pdf
Adrian Friday
 
FlipGig fairer allocation of work (heuristic approach)
FlipGig fairer allocation of work (heuristic approach)FlipGig fairer allocation of work (heuristic approach)
FlipGig fairer allocation of work (heuristic approach)
Adrian Friday
 
FlipGig & Switch-Gig: Meal Deal Card Game
FlipGig & Switch-Gig: Meal Deal Card GameFlipGig & Switch-Gig: Meal Deal Card Game
FlipGig & Switch-Gig: Meal Deal Card Game
Adrian Friday
 
FlipGig Learning from Gig Workers, April 2022
FlipGig Learning from Gig Workers, April 2022FlipGig Learning from Gig Workers, April 2022
FlipGig Learning from Gig Workers, April 2022
Adrian Friday
 
FlipGig Knowledge Exchange Event (Intro)
FlipGig Knowledge Exchange Event (Intro)FlipGig Knowledge Exchange Event (Intro)
FlipGig Knowledge Exchange Event (Intro)
Adrian Friday
 
Decarbonising the Last Mile ITS Oct 2021
Decarbonising the Last Mile ITS Oct 2021Decarbonising the Last Mile ITS Oct 2021
Decarbonising the Last Mile ITS Oct 2021
Adrian Friday
 
Behind the app uppsala sep 2021
Behind the app uppsala sep 2021Behind the app uppsala sep 2021
Behind the app uppsala sep 2021
Adrian Friday
 
The climate impact of ICT: A review of estimates, trends and regulations (ISM...
The climate impact of ICT: A review of estimates, trends and regulations (ISM...The climate impact of ICT: A review of estimates, trends and regulations (ISM...
The climate impact of ICT: A review of estimates, trends and regulations (ISM...
Adrian Friday
 
Behind the app cambs feb 2021
Behind the app cambs feb 2021Behind the app cambs feb 2021
Behind the app cambs feb 2021
Adrian Friday
 
Ubicomp+Sustainability October 2015, Keynote at euc2015
Ubicomp+Sustainability October 2015, Keynote at euc2015Ubicomp+Sustainability October 2015, Keynote at euc2015
Ubicomp+Sustainability October 2015, Keynote at euc2015
Adrian Friday
 
Understanding Sustainable Food Shopping: Sustainably Minded Shoppers and the ...
Understanding Sustainable Food Shopping: Sustainably Minded Shoppers and the ...Understanding Sustainable Food Shopping: Sustainably Minded Shoppers and the ...
Understanding Sustainable Food Shopping: Sustainably Minded Shoppers and the ...
Adrian Friday
 
1000% The highs and lows of Entertainment and IT in the home
1000% The highs and lows of Entertainment and IT in the home1000% The highs and lows of Entertainment and IT in the home
1000% The highs and lows of Entertainment and IT in the home
Adrian Friday
 
Quantifying our understanding of energy use itu may 2013
Quantifying our understanding of energy use itu may 2013Quantifying our understanding of energy use itu may 2013
Quantifying our understanding of energy use itu may 2013
Adrian Friday
 
Reflections on the Long-term Use of an Experimental Digital Signage System
Reflections on the Long-term Use of an Experimental Digital Signage SystemReflections on the Long-term Use of an Experimental Digital Signage System
Reflections on the Long-term Use of an Experimental Digital Signage System
Adrian Friday
 
Towards Open Pervasive Displays (Keynote at UbiSummit, Helsinki, May 2011)
Towards Open Pervasive Displays (Keynote at UbiSummit, Helsinki, May 2011)Towards Open Pervasive Displays (Keynote at UbiSummit, Helsinki, May 2011)
Towards Open Pervasive Displays (Keynote at UbiSummit, Helsinki, May 2011)
Adrian Friday
 
Towards Open Pervasive Displays (Keynote at Tekes UbiSummit, May 2011)
Towards Open Pervasive Displays (Keynote at Tekes UbiSummit, May 2011)Towards Open Pervasive Displays (Keynote at Tekes UbiSummit, May 2011)
Towards Open Pervasive Displays (Keynote at Tekes UbiSummit, May 2011)
Adrian Friday
 

More from Adrian Friday (20)

Where's the value in energy data science? Finding energy savings opportuniti...
Where's the value in energy data science?  Finding energy savings opportuniti...Where's the value in energy data science?  Finding energy savings opportuniti...
Where's the value in energy data science? Finding energy savings opportuniti...
 
Paris ICT & Sufficiency Intervention June 2022.pdf
Paris ICT & Sufficiency Intervention June 2022.pdfParis ICT & Sufficiency Intervention June 2022.pdf
Paris ICT & Sufficiency Intervention June 2022.pdf
 
FlipGig Logistics Chaire Intl Seminar Paris Nov 2022.pdf
FlipGig Logistics Chaire Intl Seminar Paris Nov 2022.pdfFlipGig Logistics Chaire Intl Seminar Paris Nov 2022.pdf
FlipGig Logistics Chaire Intl Seminar Paris Nov 2022.pdf
 
British HCI - design of energy demand in the home-ajf-11July2022.pdf
British HCI - design of energy demand in the home-ajf-11July2022.pdfBritish HCI - design of energy demand in the home-ajf-11July2022.pdf
British HCI - design of energy demand in the home-ajf-11July2022.pdf
 
Advance CRT Keynote - 10 May 2022 - AJF.pdf
Advance CRT Keynote - 10 May 2022 - AJF.pdfAdvance CRT Keynote - 10 May 2022 - AJF.pdf
Advance CRT Keynote - 10 May 2022 - AJF.pdf
 
FlipGig fairer allocation of work (heuristic approach)
FlipGig fairer allocation of work (heuristic approach)FlipGig fairer allocation of work (heuristic approach)
FlipGig fairer allocation of work (heuristic approach)
 
FlipGig & Switch-Gig: Meal Deal Card Game
FlipGig & Switch-Gig: Meal Deal Card GameFlipGig & Switch-Gig: Meal Deal Card Game
FlipGig & Switch-Gig: Meal Deal Card Game
 
FlipGig Learning from Gig Workers, April 2022
FlipGig Learning from Gig Workers, April 2022FlipGig Learning from Gig Workers, April 2022
FlipGig Learning from Gig Workers, April 2022
 
FlipGig Knowledge Exchange Event (Intro)
FlipGig Knowledge Exchange Event (Intro)FlipGig Knowledge Exchange Event (Intro)
FlipGig Knowledge Exchange Event (Intro)
 
Decarbonising the Last Mile ITS Oct 2021
Decarbonising the Last Mile ITS Oct 2021Decarbonising the Last Mile ITS Oct 2021
Decarbonising the Last Mile ITS Oct 2021
 
Behind the app uppsala sep 2021
Behind the app uppsala sep 2021Behind the app uppsala sep 2021
Behind the app uppsala sep 2021
 
The climate impact of ICT: A review of estimates, trends and regulations (ISM...
The climate impact of ICT: A review of estimates, trends and regulations (ISM...The climate impact of ICT: A review of estimates, trends and regulations (ISM...
The climate impact of ICT: A review of estimates, trends and regulations (ISM...
 
Behind the app cambs feb 2021
Behind the app cambs feb 2021Behind the app cambs feb 2021
Behind the app cambs feb 2021
 
Ubicomp+Sustainability October 2015, Keynote at euc2015
Ubicomp+Sustainability October 2015, Keynote at euc2015Ubicomp+Sustainability October 2015, Keynote at euc2015
Ubicomp+Sustainability October 2015, Keynote at euc2015
 
Understanding Sustainable Food Shopping: Sustainably Minded Shoppers and the ...
Understanding Sustainable Food Shopping: Sustainably Minded Shoppers and the ...Understanding Sustainable Food Shopping: Sustainably Minded Shoppers and the ...
Understanding Sustainable Food Shopping: Sustainably Minded Shoppers and the ...
 
1000% The highs and lows of Entertainment and IT in the home
1000% The highs and lows of Entertainment and IT in the home1000% The highs and lows of Entertainment and IT in the home
1000% The highs and lows of Entertainment and IT in the home
 
Quantifying our understanding of energy use itu may 2013
Quantifying our understanding of energy use itu may 2013Quantifying our understanding of energy use itu may 2013
Quantifying our understanding of energy use itu may 2013
 
Reflections on the Long-term Use of an Experimental Digital Signage System
Reflections on the Long-term Use of an Experimental Digital Signage SystemReflections on the Long-term Use of an Experimental Digital Signage System
Reflections on the Long-term Use of an Experimental Digital Signage System
 
Towards Open Pervasive Displays (Keynote at UbiSummit, Helsinki, May 2011)
Towards Open Pervasive Displays (Keynote at UbiSummit, Helsinki, May 2011)Towards Open Pervasive Displays (Keynote at UbiSummit, Helsinki, May 2011)
Towards Open Pervasive Displays (Keynote at UbiSummit, Helsinki, May 2011)
 
Towards Open Pervasive Displays (Keynote at Tekes UbiSummit, May 2011)
Towards Open Pervasive Displays (Keynote at Tekes UbiSummit, May 2011)Towards Open Pervasive Displays (Keynote at Tekes UbiSummit, May 2011)
Towards Open Pervasive Displays (Keynote at Tekes UbiSummit, May 2011)
 

Recently uploaded

Main news related to the CCS TSI 2023 (2023/1695)
Main news related to the CCS TSI 2023 (2023/1695)Main news related to the CCS TSI 2023 (2023/1695)
Main news related to the CCS TSI 2023 (2023/1695)
Jakub Marek
 
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsConnector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
DianaGray10
 
Astute Business Solutions | Oracle Cloud Partner |
Astute Business Solutions | Oracle Cloud Partner |Astute Business Solutions | Oracle Cloud Partner |
Astute Business Solutions | Oracle Cloud Partner |
AstuteBusiness
 
Day 2 - Intro to UiPath Studio Fundamentals
Day 2 - Intro to UiPath Studio FundamentalsDay 2 - Intro to UiPath Studio Fundamentals
Day 2 - Intro to UiPath Studio Fundamentals
UiPathCommunity
 
ScyllaDB Tablets: Rethinking Replication
ScyllaDB Tablets: Rethinking ReplicationScyllaDB Tablets: Rethinking Replication
ScyllaDB Tablets: Rethinking Replication
ScyllaDB
 
"What does it really mean for your system to be available, or how to define w...
"What does it really mean for your system to be available, or how to define w..."What does it really mean for your system to be available, or how to define w...
"What does it really mean for your system to be available, or how to define w...
Fwdays
 
Demystifying Knowledge Management through Storytelling
Demystifying Knowledge Management through StorytellingDemystifying Knowledge Management through Storytelling
Demystifying Knowledge Management through Storytelling
Enterprise Knowledge
 
High performance Serverless Java on AWS- GoTo Amsterdam 2024
High performance Serverless Java on AWS- GoTo Amsterdam 2024High performance Serverless Java on AWS- GoTo Amsterdam 2024
High performance Serverless Java on AWS- GoTo Amsterdam 2024
Vadym Kazulkin
 
PRODUCT LISTING OPTIMIZATION PRESENTATION.pptx
PRODUCT LISTING OPTIMIZATION PRESENTATION.pptxPRODUCT LISTING OPTIMIZATION PRESENTATION.pptx
PRODUCT LISTING OPTIMIZATION PRESENTATION.pptx
christinelarrosa
 
Y-Combinator seed pitch deck template PP
Y-Combinator seed pitch deck template PPY-Combinator seed pitch deck template PP
Y-Combinator seed pitch deck template PP
c5vrf27qcz
 
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor Ivaniuk
"Frontline Battles with DDoS: Best practices and Lessons Learned",  Igor Ivaniuk"Frontline Battles with DDoS: Best practices and Lessons Learned",  Igor Ivaniuk
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor Ivaniuk
Fwdays
 
The Microsoft 365 Migration Tutorial For Beginner.pptx
The Microsoft 365 Migration Tutorial For Beginner.pptxThe Microsoft 365 Migration Tutorial For Beginner.pptx
The Microsoft 365 Migration Tutorial For Beginner.pptx
operationspcvita
 
"Scaling RAG Applications to serve millions of users", Kevin Goedecke
"Scaling RAG Applications to serve millions of users",  Kevin Goedecke"Scaling RAG Applications to serve millions of users",  Kevin Goedecke
"Scaling RAG Applications to serve millions of users", Kevin Goedecke
Fwdays
 
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge GraphGraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
Neo4j
 
Leveraging the Graph for Clinical Trials and Standards
Leveraging the Graph for Clinical Trials and StandardsLeveraging the Graph for Clinical Trials and Standards
Leveraging the Graph for Clinical Trials and Standards
Neo4j
 
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfHow to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
Chart Kalyan
 
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
Alex Pruden
 
What is an RPA CoE? Session 2 – CoE Roles
What is an RPA CoE?  Session 2 – CoE RolesWhat is an RPA CoE?  Session 2 – CoE Roles
What is an RPA CoE? Session 2 – CoE Roles
DianaGray10
 
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
Edge AI and Vision Alliance
 
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...
DanBrown980551
 

Recently uploaded (20)

Main news related to the CCS TSI 2023 (2023/1695)
Main news related to the CCS TSI 2023 (2023/1695)Main news related to the CCS TSI 2023 (2023/1695)
Main news related to the CCS TSI 2023 (2023/1695)
 
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsConnector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
 
Astute Business Solutions | Oracle Cloud Partner |
Astute Business Solutions | Oracle Cloud Partner |Astute Business Solutions | Oracle Cloud Partner |
Astute Business Solutions | Oracle Cloud Partner |
 
Day 2 - Intro to UiPath Studio Fundamentals
Day 2 - Intro to UiPath Studio FundamentalsDay 2 - Intro to UiPath Studio Fundamentals
Day 2 - Intro to UiPath Studio Fundamentals
 
ScyllaDB Tablets: Rethinking Replication
ScyllaDB Tablets: Rethinking ReplicationScyllaDB Tablets: Rethinking Replication
ScyllaDB Tablets: Rethinking Replication
 
"What does it really mean for your system to be available, or how to define w...
"What does it really mean for your system to be available, or how to define w..."What does it really mean for your system to be available, or how to define w...
"What does it really mean for your system to be available, or how to define w...
 
Demystifying Knowledge Management through Storytelling
Demystifying Knowledge Management through StorytellingDemystifying Knowledge Management through Storytelling
Demystifying Knowledge Management through Storytelling
 
High performance Serverless Java on AWS- GoTo Amsterdam 2024
High performance Serverless Java on AWS- GoTo Amsterdam 2024High performance Serverless Java on AWS- GoTo Amsterdam 2024
High performance Serverless Java on AWS- GoTo Amsterdam 2024
 
PRODUCT LISTING OPTIMIZATION PRESENTATION.pptx
PRODUCT LISTING OPTIMIZATION PRESENTATION.pptxPRODUCT LISTING OPTIMIZATION PRESENTATION.pptx
PRODUCT LISTING OPTIMIZATION PRESENTATION.pptx
 
Y-Combinator seed pitch deck template PP
Y-Combinator seed pitch deck template PPY-Combinator seed pitch deck template PP
Y-Combinator seed pitch deck template PP
 
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor Ivaniuk
"Frontline Battles with DDoS: Best practices and Lessons Learned",  Igor Ivaniuk"Frontline Battles with DDoS: Best practices and Lessons Learned",  Igor Ivaniuk
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor Ivaniuk
 
The Microsoft 365 Migration Tutorial For Beginner.pptx
The Microsoft 365 Migration Tutorial For Beginner.pptxThe Microsoft 365 Migration Tutorial For Beginner.pptx
The Microsoft 365 Migration Tutorial For Beginner.pptx
 
"Scaling RAG Applications to serve millions of users", Kevin Goedecke
"Scaling RAG Applications to serve millions of users",  Kevin Goedecke"Scaling RAG Applications to serve millions of users",  Kevin Goedecke
"Scaling RAG Applications to serve millions of users", Kevin Goedecke
 
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge GraphGraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
 
Leveraging the Graph for Clinical Trials and Standards
Leveraging the Graph for Clinical Trials and StandardsLeveraging the Graph for Clinical Trials and Standards
Leveraging the Graph for Clinical Trials and Standards
 
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfHow to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
 
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
 
What is an RPA CoE? Session 2 – CoE Roles
What is an RPA CoE?  Session 2 – CoE RolesWhat is an RPA CoE?  Session 2 – CoE Roles
What is an RPA CoE? Session 2 – CoE Roles
 
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
 
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...
 

FlipGig Micro-consolidation of parcel deliveries using public assets

  • 1. Using public assets as parcel delivery hubs
  • 2. Concept, aim and supporting policy • Use public assets (e.g. community centres, libraries or car parks) as hubs for transfer of parcels to cycle couriers or porters for last-mile delivery • Greener transport, by reducing stem mileage and reliance on (mainly) diesel vans • Decarbonisation and air quality targets incentivise local authorities to actively support such initiatives Image: https://kyburz-switzerland.ch/
  • 3. Mobile depot – Brussels – Straightsol project Image: straightsol.eu
  • 4. Shared parcel carrier hub example in Berlin Image: https://www.komodo.berlin/ Image: https://www.behala.de/en/the-future-of-urban-logistics/
  • 5. Overview of this presentation Case study in York to: • Determine suitable hub locations • Assess time, distance, emissions savings from using porters or cycles Comparative case studies in Hampshire to investigate how savings change with population density (or delivery density) Town/city Population Area (km2) Population density (person/km2) Portsmouth 238,137 37.34 6,380 Romsey 17,161 5.24 3,270 Lyndhurst 2,347 1.13 2,080
  • 6. Case study example using car parks within York ring road Image: hotels.com Image: yorkconservatives.co.uk
  • 7. Case study example using car parks within York ring road • Parcel delivery data of a major parcel carrier for a single day of operation (19 May 2021) • 3900 deliveries, 70 collections, 47 couriers (= 85 parcels/courier on average) • area ~50km2 (80 parcels per sq. km) • depot 10km from city centre (= significant stem mileage) • Total parcel weight and volume estimated to be 3.2 tonnes and 32m3 • Individual parcels small and light; only 29 parcels modelled as being too heavy or bulky for a porter or cycle courier 24 public car parks considered as potential MC locations
  • 8. Case study example using car parks within York ring road • Parcel delivery data of a major parcel carrier for a single day of operation (19 May 2021) • 3900 deliveries, 70 collections, 47 couriers (= 85 parcels/courier on average) • area ~50km2 (80 parcels per sq. km) • depot 10km from city centre (= significant stem mileage) • Total parcel weight and volume estimated to be 3.2 tonnes and 32m3 • Individual parcels small and light; only 29 parcels modelled as being too heavy or bulky for a porter or cycle courier 24 public car parks considered as potential MC locations ©2022 Esri UK
  • 9. Walking and cycling options for last-mile delivery Image: ecofleet.co.uk Van Porter 1000L trolley Cyclist 620L box Units individual parcel weight - 5 5 kg (max) Individual parcel volume - 66 66 L (max) Total load weight 1000 200 125 kg (max) Total load volume 10000 1000 620 L (max) Average speed 30 5 16 kph Time at address (inc. MC) 3 1 2 minutes Total time allowed - 4.5 4.5 hours (max) Modelling parameters assumed Image: www.ecofleet.co.uk Image: fernhay.com
  • 10. Modelling method – ‘portering’ algorithm Bespoke heuristic algorithm which simultaneously determines: • Allocation of parcels to selected MCs • Van routes (depot MCs, collections, heavy or bulky deliveries depot) • Porter (or cycle) routes (MC deliveries MC) Inputs include: Depot and MC locations; Delivery addresses; Parcel weights & volumes; O-D matrices (travel times between locations); Carrying capacity constraints; Time per delivery; Costs for van&driver, porter or cycle courier (£/hr) Objective: Minimise total cost Complex algorithm – managed to cope with York (4000 parcels) but not on larger problems (e.g. Portsmouth, with 6000+ parcels)
  • 11. Decomposition method (for larger problems) 1. All parcels are allocated to their nearest MC 2. Deliveries from each MC (by porter or cycle courier) solved as a CVRP (capacitated vehicle routing problem) using Google OR-Tools 3. Van routes obtained using commercial vehicle routing software
  • 12. Comparison of distances travelled (York) 0 200 400 600 800 1000 1200 1400 1600 1800 47 vans 50 bikes&4 vans 35 porters&4 vans Distance (km) Delivery method Van km Cycle km Walking km Van travel reduced by 88% with corresponding reduction in associated vehicle emissions Daily emissions savings equate to 400kg CO2 and 450g NOx for this one carrier Greater savings possible if more than one carrier participates in micro-consolidation More cycling than walking here due to assumed carrying capacities: bike (620L), trolley (1000L)
  • 13. Comparison of time taken This result based on assumed delivery times of 1, 2 and 3 minutes per delivery for porter, cyclist and van driver, respectively 0 50 100 150 200 250 300 47 vans 50 bikes&4 vans 35 porters&4 vans Time (hours) Van/car travel Van/car non-travel Cycle travel Cycle non-travel Porter travel Porter non-travel
  • 14. MC usage (for portering example) 16 of the 24 car parks were selected for use by the portering algorithm The space requirement ranged from 0.5m3 to 5.5m3 (a standard roll cage is around 1m3) Green = selected; blue = not selected Map data ©2022 Google
  • 15. Assuming fewer hubs available (Portsmouth) Total parcels 6196 50.7m3 Map data ©2022 Google
  • 16. How number of hubs impacts time taken 0 20 40 60 80 100 120 3 4 5 6 Hours Number of MCs Walking (h) Driving (h) 5 hubs are sufficient for Portsmouth (minimal gain increasing to 6) Reducing to 4 hubs adds 10% walking time; reducing to 3 hubs adds 20% Minimal effect on driving times
  • 17. Micro-consolidation on a smaller scale (Romsey) Romsey (9 miles north west of Southampton) Population (2011 census) = 17,161 Population density = 3,270 people/km2 Area = 5.24km2 Image: test-valley.gov.uk
  • 18. Micro-consolidation on a smaller scale (Romsey) Candidate MCs • Abbotswood CC • Woodley Village Hall • Montfort Hall • Crosfield Hall • Romsey Library Abbotswood chosen as (marginally) most central to all deliveries Locations >3km from MC (orange/red) to be retained by van drivers Romsey (Hampshire) population (2011 census) = 17,161 Population density = 3,270 people/km2 Area = 5.24km2 Postcodes visited by 11 couriers in Romsey area (coloured by distance from centre) ©2022 Esri UK
  • 19. 7 Romsey ‘portering’ trips within 3km of MC Red trip is 29km, more suited to cargo bike Average of others is 11.3km (7 miles) Portsmouth(5MCs) average trip was 7.5km
  • 20. Lyndhurst (Hampshire) Lyndhurst (9 miles west of Southampton) Population (2011 census) = 2,347 Population density = 2,080 people/km2 Area = 1.13km2 Image: visit-hampshire.co.uk
  • 21. Lyndhurst (Hampshire) Town is a traffic bottleneck, especially in summer Two couriers made 98 deliveries (700L volume) and one collection All within 3km of proposed MC in town centre (community centre) Could be done by a single cycle courier (19.6km) in 4.5 hours Postcodes visited by 2 couriers (‘blue’ and ‘green’) in Lyndhurst ©2022 Esri UK
  • 22. Van distance per parcel (km) Van distance savings Portsmouth 95% Romsey 81% Lyndhurst 67% 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 Portsmouth Romsey Lyndhurst Van distance per parcel (km) Business-as-usual Micro-consolidation
  • 23. Total time taken per parcel (minutes) Time savings Portsmouth 53% Romsey 31% Lyndhurst 27% 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 Portsmouth Romsey Lyndhurst Time taken per parcel (minutes) Business-as-usual Micro-consolidation
  • 24. Sensitivity of time savings to assumed delivery time for van -40% -30% -20% -10% 0% 10% 20% 30% 40% 50% 60% 1 1.5 2 2.5 3 Total time savings of micro-consolidation BAU minutes/delivery Portsmouth Romsey Lyndhurst
  • 25. Cost considerations • BAU is taking advantage of gig workers’ own vehicles at no cost to the parcel carrier (unless pay takes into account) • Alternative options would involve: • Trollies or cargo bikes about £5,000 each • Electric vehicle charging cost • Rental of hub (unless council provide for free)