Inisghts from data to plan and optimise shared bike usage

•

0 likes•73 views

Talk by Merja Kajava at Urban Data Talks #6 event, focused on how she uses urban data obtained from bike sharing docks and systems to better understand shared bike usage and improve the management of such systems

Data & Analytics

Aavista Oy
Merja Kajava
@mkajava
Urban Data Talks
Insights from data to plan
and optimize shared bike
usage
June 7, 2023

CEO of Aavista – Data Platform for Future Mobility
Chair of Data Model Subgroup for
MaaS AllianceTechnology & StandardWG
@mkajava
https://www.linkedin.com/merjakajava
MERJA KAJAVA

Topics
Insights for planning
Optimizing bike capacity

AAVISTA DATA PLATFORM
220+
CITIES
30+
COUNTRIES

8
COOL EVENT +
LOTS OF
PEOPLE +
SUNSHINE

Too long distance
Over five kilometers to walk

Source:Lippu.fi
https://www.lippu.fi/obj/media/FI-eventim/downloads/edsheeran-info-eng-1.pdf

ED SHEERAN IN MALMI
THE LARGEST CONCERT IN
FINLAND EVER

24 H
HELSINKI,
ESPOO AND
VANTAA
TUESDAY
JULY 23, 2019

17
COOL EVENT +
60,000 PEOPLE +
SUNSHINE +
DOCKS NEAR BY +
ONE NETWORK

THE MAGIC FORMULA =
COOL EVENT +
LOTS OF PEOPLE +
NICE WEATHER +
DOCKS NEARBY +
ONE NETWORK

24 H BIKE USAGE IN TURKU +5 C
VESIBUSSI
HÄMEENKATU
KUPITTAAN
ASEMA
DATACITY
KIRJASTOSILTA

Large variations in the station capacity during one day
Number of bikes during one day (delta)
…

Move bikes to the
popular areas at
the right time
MORE RIDES WITH THE CURRENT BIKES
Optimize dock
sizes by reducing
bikes
SAME AMOUNT OF RIDES WITH
REDUCED BIKE COUNT
BENEFITS WITH OPTIMIZATION

The Data Platform for Future
Mobility
Merja Kajava
@mkajava
https://www.linkedin.com/in/merjakajava

Similar to Inisghts from data to plan and optimise shared bike usage

Traces of Power: Internet Governance and Climate ActionRIPE NCC

Introduction - PPT - SIGMA Webinar series on service design and delivery in t...Support for Improvement in Governance and Management SIGMA

CK2017: Going Beyond Traditional Data for Integrated Transportation in Smart ...WRI Ross Center for Sustainable Cities

Impressions on Mobike from Shenzhen - HvA CMDIskander Smit

Intelligent road infrastructureDESMOND YUEN

ITS Forum UAE finalBinu Thankappan

Key note speech media-130716_finalMaria Boura

Why it is not about the self driving carFelix Faassen

Polis Conference 2015: OGD for bicycle promotionMartin L

Parramatta Smart City Bruce Duyshart

Leveraging the Platform effect for citiesAlex Gluhak

Magnus kuschel, project manager Go:smart Göteborginsam

Open Data in Design & Civic Governance 2012Fingal Open Data

Gaetano Volpe – URBES LATITUDO 40 .pptxFIWARE

Masterslides Trafiklabmeetup 6 decEmma Skille

Implementing Intelligent Transport Systems in the Creation of Smart Citiesijtsrd

Geography as melting pot for cross-domain bicycling research and promotionMartin L

Open Helsinki - Enhancing the urban development with open dataHelsinki Region Infoshare

Cycling modeling in Helsinki & UtrechtHerbert Tiemens

Big data: uncovering new mobility patterns and redefining planning practicesMickael Pero

Similar to Inisghts from data to plan and optimise shared bike usage (20)

Traces of Power: Internet Governance and Climate Action

Introduction - PPT - SIGMA Webinar series on service design and delivery in t...

CK2017: Going Beyond Traditional Data for Integrated Transportation in Smart ...

Impressions on Mobike from Shenzhen - HvA CMD

Intelligent road infrastructure

ITS Forum UAE final

Key note speech media-130716_final

Why it is not about the self driving car

Polis Conference 2015: OGD for bicycle promotion

Parramatta Smart City

Leveraging the Platform effect for cities

Magnus kuschel, project manager Go:smart Göteborg

Open Data in Design & Civic Governance 2012

Gaetano Volpe – URBES LATITUDO 40 .pptx

Masterslides Trafiklabmeetup 6 dec

Implementing Intelligent Transport Systems in the Creation of Smart Cities

Geography as melting pot for cross-domain bicycling research and promotion

Open Helsinki - Enhancing the urban development with open data

Cycling modeling in Helsinki & Utrecht

Big data: uncovering new mobility patterns and redefining planning practices

Recently uploaded

RA-11058_IRR-COMPRESS Do 198 series of 1998YohFuh

CebaBaby dropshipping via API with DroFX.pptxolyaivanovalion

Brighton SEO | April 2024 | Data StorytellingNeil Barnes

Invezz.com - Grow your wealth with trading signalsInvezz1

꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Callshivangimorya083

100-Concepts-of-AI by Anupama Kate .pptxAnupama Kate

Dubai Call Girls Wifey O52&786472 Call Girls Dubaihf8803863

VIP Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Boo...Call Girls In Delhi Whatsup 9873940964 Enjoy Unlimited Pleasure

Mature dropshipping via API with DroFx.pptxolyaivanovalion

E-Commerce Order PredictionShraddha Kamble.pptxBoston Institute of Analytics

Generative AI on Enterprise Cloud with NiFi and MilvusTimothy Spann

Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdfRachmat Ramadhan H

Delhi 99530 vip 56974 Genuine Escort Service Call Girls in Kishangarh9953056974 Low Rate Call Girls In Saket, Delhi NCR

Schema on read is obsolete. Welcome metaprogramming..pdfLars Albertsson

dokumen.tips_chapter-4-transient-heat-conduction-mehmet-kanoglu.pptSonatrach

Customer Service Analytics - Make Sense of All Your Data.pptxEmmanuel Dauda

Industrialised data - the key to AI success.pdfLars Albertsson

Introduction-to-Machine-Learning (1).pptxfirstjob4

Al Barsha Escorts $#$ O565212860 $#$ Escort Service In Al BarshaAroojKhan71

Low Rate Call Girls Bhilai Anika 8250192130 Independent Escort Service BhilaiSuhani Kapoor

Recently uploaded (20)

RA-11058_IRR-COMPRESS Do 198 series of 1998

CebaBaby dropshipping via API with DroFX.pptx

Brighton SEO | April 2024 | Data Storytelling

Invezz.com - Grow your wealth with trading signals

꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call

100-Concepts-of-AI by Anupama Kate .pptx

Dubai Call Girls Wifey O52&786472 Call Girls Dubai

VIP Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Boo...

Mature dropshipping via API with DroFx.pptx

E-Commerce Order PredictionShraddha Kamble.pptx

Generative AI on Enterprise Cloud with NiFi and Milvus

Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf

Delhi 99530 vip 56974 Genuine Escort Service Call Girls in Kishangarh

Schema on read is obsolete. Welcome metaprogramming..pdf

dokumen.tips_chapter-4-transient-heat-conduction-mehmet-kanoglu.ppt

Customer Service Analytics - Make Sense of All Your Data.pptx

Industrialised data - the key to AI success.pdf

Introduction-to-Machine-Learning (1).pptx

Al Barsha Escorts $#$ O565212860 $#$ Escort Service In Al Barsha

Low Rate Call Girls Bhilai Anika 8250192130 Independent Escort Service Bhilai

Inisghts from data to plan and optimise shared bike usage

1. Aavista Oy Merja Kajava @mkajava Urban Data Talks Insights from data to plan and optimize shared bike usage June 7, 2023

2. CEO of Aavista – Data Platform for Future Mobility Chair of Data Model Subgroup for MaaS AllianceTechnology & StandardWG @mkajava https://www.linkedin.com/merjakajava MERJA KAJAVA

3. Topics Insights for planning Optimizing bike capacity

4. AAVISTA DATA PLATFORM 220+ CITIES 30+ COUNTRIES

6. What factors affect city bike usage?

7. The Magic Formula?

8. 8 COOL EVENT + LOTS OF PEOPLE + SUNSHINE

9. Let’s test the formula

10.

11. 24 H TURKU SUNDAY JULY 7

12. Too long distance Over five kilometers to walk

13. Source:Lippu.fi https://www.lippu.fi/obj/media/FI-eventim/downloads/edsheeran-info-eng-1.pdf

14. ED SHEERAN IN MALMI THE LARGEST CONCERT IN FINLAND EVER

15. 24 H HELSINKI, ESPOO AND VANTAA TUESDAY JULY 23, 2019

16. One Network Only

17. 17 COOL EVENT + 60,000 PEOPLE + SUNSHINE + DOCKS NEAR BY + ONE NETWORK

18.

19. 19 24 H HELSINKI SUNDAY JUNE 30

20. Pop-up docks for large events?

21. THE MAGIC FORMULA = COOL EVENT + LOTS OF PEOPLE + NICE WEATHER + DOCKS NEARBY + ONE NETWORK

22. Optimizing bike capacity

23. 24 H BIKE USAGE IN TURKU +5 C VESIBUSSI HÄMEENKATU KUPITTAAN ASEMA DATACITY KIRJASTOSILTA

24. Large variations in the station capacity during one day Number of bikes during one day (delta) …

25. Move bikes to the popular areas at the right time MORE RIDES WITH THE CURRENT BIKES Optimize dock sizes by reducing bikes SAME AMOUNT OF RIDES WITH REDUCED BIKE COUNT BENEFITS WITH OPTIMIZATION

26. The Data Platform for Future Mobility Merja Kajava @mkajava https://www.linkedin.com/in/merjakajava

Inisghts from data to plan and optimise shared bike usage

Recommended

Recommended

More Related Content

Similar to Inisghts from data to plan and optimise shared bike usage

Similar to Inisghts from data to plan and optimise shared bike usage (20)

More from Alex Gluhak

More from Alex Gluhak (20)

Recently uploaded

Recently uploaded (20)

Inisghts from data to plan and optimise shared bike usage