the matsim santiago open data model · 1. history of matsim santiago 2. recent developments 3....

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The MATSim Santiago open data model Development and first applications > MATSim user meeting @hEART 2017 > The MATSim Santiago open data model: Development and first applications • Benjamin Kickhöfer 11.09.2017 Leonardo Camus Alejandro Tirachini Benjamin Kickhöfer Credits to: Daniel Hosse Kai Turner Felix Zwick DLR.de Slide 1

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Page 1: The MATSim Santiago open data model · 1. History of MATSim Santiago 2. Recent developments 3. Challenges and first applications 4. Summary and outlook > MATSim user meeting @hEART

The MATSim Santiago open data model

Development and first applications

> MATSim user meeting @hEART 2017 > The MATSim Santiago open data model: Development and first applications • Benjamin Kickhöfer • 11.09.2017

Leonardo Camus Alejandro Tirachini Benjamin Kickhöfer Credits to: Daniel Hosse Kai Turner Felix Zwick

DLR.de • Slide 1

Page 2: The MATSim Santiago open data model · 1. History of MATSim Santiago 2. Recent developments 3. Challenges and first applications 4. Summary and outlook > MATSim user meeting @hEART

1. History of MATSim Santiago

2. Recent developments

3. Challenges and first applications

4. Summary and outlook

> MATSim user meeting @hEART 2017 > The MATSim Santiago open data model: Development and first applications • Benjamin Kickhöfer • 11.09.2017

Agenda

DLR.de • Slide 2

Page 3: The MATSim Santiago open data model · 1. History of MATSim Santiago 2. Recent developments 3. Challenges and first applications 4. Summary and outlook > MATSim user meeting @hEART

> MATSim user meeting @hEART 2017 > The MATSim Santiago open data model: Development and first applications • Benjamin Kickhöfer • 11.09.2017

History of MATSim Santiago

DLR.de • Slide 3

Page 4: The MATSim Santiago open data model · 1. History of MATSim Santiago 2. Recent developments 3. Challenges and first applications 4. Summary and outlook > MATSim user meeting @hEART

> MATSim user meeting @hEART 2017 > The MATSim Santiago open data model: Development and first applications • Benjamin Kickhöfer • 11.09.2017

How it all started

DLR.de • Slide 4

Page 5: The MATSim Santiago open data model · 1. History of MATSim Santiago 2. Recent developments 3. Challenges and first applications 4. Summary and outlook > MATSim user meeting @hEART

> MATSim user meeting @hEART 2017 > The MATSim Santiago open data model: Development and first applications • Benjamin Kickhöfer • 11.09.2017

First impressions

DLR.de • Slide 5

Page 6: The MATSim Santiago open data model · 1. History of MATSim Santiago 2. Recent developments 3. Challenges and first applications 4. Summary and outlook > MATSim user meeting @hEART

1. Street network from OSM

2. Public transit supply data as GTFS

3. Travel diaries (and other stuff) from EOD2012 • Exported from Microsoft Access into *.csv • Includes some freight traffic (and other information)

> MATSim user meeting @hEART 2017 > The MATSim Santiago open data model: Development and first applications • Benjamin Kickhöfer • 11.09.2017

Open data sources

DLR.de • Slide 6

Page 7: The MATSim Santiago open data model · 1. History of MATSim Santiago 2. Recent developments 3. Challenges and first applications 4. Summary and outlook > MATSim user meeting @hEART

> MATSim user meeting @hEART 2017 > The MATSim Santiago open data model: Development and first applications • Benjamin Kickhöfer • 11.09.2017

v1: first simulations

DLR.de • Slide 7

Raw data: • 60’054 individuals (~1%) • 113’591 trips

MATSim: • 42’459 individuals • 103’055 trips

Page 8: The MATSim Santiago open data model · 1. History of MATSim Santiago 2. Recent developments 3. Challenges and first applications 4. Summary and outlook > MATSim user meeting @hEART

> MATSim user meeting @hEART 2017 > The MATSim Santiago open data model: Development and first applications • Benjamin Kickhöfer • 11.09.2017

v1: integrating public transit

DLR.de • Slide 8

Page 9: The MATSim Santiago open data model · 1. History of MATSim Santiago 2. Recent developments 3. Challenges and first applications 4. Summary and outlook > MATSim user meeting @hEART

> MATSim user meeting @hEART 2017 > The MATSim Santiago open data model: Development and first applications • Benjamin Kickhöfer • 11.09.2017

v1: behavioral parameters and calibration

DLR.de • Slide 9

Page 10: The MATSim Santiago open data model · 1. History of MATSim Santiago 2. Recent developments 3. Challenges and first applications 4. Summary and outlook > MATSim user meeting @hEART

> MATSim user meeting @hEART 2017 > The MATSim Santiago open data model: Development and first applications • Benjamin Kickhöfer • 11.09.2017

Recent developments

DLR.de • Slide 10

Page 11: The MATSim Santiago open data model · 1. History of MATSim Santiago 2. Recent developments 3. Challenges and first applications 4. Summary and outlook > MATSim user meeting @hEART

• Remove agents that were interviewed in summer vacation time and on weekends

• Use expansion factors to create a 1% and a 10% sample

• Add time-dependent tolls to tollways

• Randomize activity end times using smartcard data

• Randomize activity locations using land use data

> MATSim user meeting @hEART 2017 > The MATSim Santiago open data model: Development and first applications • Benjamin Kickhöfer • 11.09.2017

Leo (v2): overview

DLR.de • Slide 11

Page 12: The MATSim Santiago open data model · 1. History of MATSim Santiago 2. Recent developments 3. Challenges and first applications 4. Summary and outlook > MATSim user meeting @hEART

> MATSim user meeting @hEART 2017 > The MATSim Santiago open data model: Development and first applications • Benjamin Kickhöfer • 11.09.2017

Leo (v2): randomize activity end times using smartcard data

DLR.de • Slide 12

Page 13: The MATSim Santiago open data model · 1. History of MATSim Santiago 2. Recent developments 3. Challenges and first applications 4. Summary and outlook > MATSim user meeting @hEART

> MATSim user meeting @hEART 2017 > The MATSim Santiago open data model: Development and first applications • Benjamin Kickhöfer • 11.09.2017

Leo (v2): randomize activity locations using land use data

DLR.de • Slide 13

Page 14: The MATSim Santiago open data model · 1. History of MATSim Santiago 2. Recent developments 3. Challenges and first applications 4. Summary and outlook > MATSim user meeting @hEART

> MATSim user meeting @hEART 2017 > The MATSim Santiago open data model: Development and first applications • Benjamin Kickhöfer • 11.09.2017

Felix (v3): implementing colectivos

DLR.de • Slide 14

Page 15: The MATSim Santiago open data model · 1. History of MATSim Santiago 2. Recent developments 3. Challenges and first applications 4. Summary and outlook > MATSim user meeting @hEART

> MATSim user meeting @hEART 2017 > The MATSim Santiago open data model: Development and first applications • Benjamin Kickhöfer • 11.09.2017

Felix (v3): travel times, slack times, fares

DLR.de • Slide 15

Page 16: The MATSim Santiago open data model · 1. History of MATSim Santiago 2. Recent developments 3. Challenges and first applications 4. Summary and outlook > MATSim user meeting @hEART

> MATSim user meeting @hEART 2017 > The MATSim Santiago open data model: Development and first applications • Benjamin Kickhöfer • 11.09.2017

Felix (v3): colectivo (also) as PT feeder

DLR.de • Slide 16

Page 17: The MATSim Santiago open data model · 1. History of MATSim Santiago 2. Recent developments 3. Challenges and first applications 4. Summary and outlook > MATSim user meeting @hEART

> MATSim user meeting @hEART 2017 > The MATSim Santiago open data model: Development and first applications • Benjamin Kickhöfer • 11.09.2017

Challenges and first applications

DLR.de • Slide 17

Page 18: The MATSim Santiago open data model · 1. History of MATSim Santiago 2. Recent developments 3. Challenges and first applications 4. Summary and outlook > MATSim user meeting @hEART

> MATSim user meeting @hEART 2017 > The MATSim Santiago open data model: Development and first applications • Benjamin Kickhöfer • 11.09.2017

Influence of sample size on travel times

DLR.de • Slide 20

Page 19: The MATSim Santiago open data model · 1. History of MATSim Santiago 2. Recent developments 3. Challenges and first applications 4. Summary and outlook > MATSim user meeting @hEART

> MATSim user meeting @hEART 2017 > The MATSim Santiago open data model: Development and first applications • Benjamin Kickhöfer • 11.09.2017

Cordon pricing schemes: setup

DLR.de • Slide 21

τin = $6.000 τout = $3.600

τin = $6.000 τout = $2.650

Outer cordon Inner cordon

Page 20: The MATSim Santiago open data model · 1. History of MATSim Santiago 2. Recent developments 3. Challenges and first applications 4. Summary and outlook > MATSim user meeting @hEART

Total travel distance car

> MATSim user meeting @hEART 2017 > The MATSim Santiago open data model: Development and first applications • Benjamin Kickhöfer • 11.09.2017

Cordon pricing schemes: elasticities 7:30-8:30

DLR.de • Slide 22

In- and outflow

Number of car trips

Page 21: The MATSim Santiago open data model · 1. History of MATSim Santiago 2. Recent developments 3. Challenges and first applications 4. Summary and outlook > MATSim user meeting @hEART

> MATSim user meeting @hEART 2017 > The MATSim Santiago open data model: Development and first applications • Benjamin Kickhöfer • 11.09.2017

Summary and outlook

DLR.de • Slide 23

Page 22: The MATSim Santiago open data model · 1. History of MATSim Santiago 2. Recent developments 3. Challenges and first applications 4. Summary and outlook > MATSim user meeting @hEART

• Documentation: https://svn.vsp.tu-berlin.de/repos/public-svn/publications/vspwp/2016/16-02/ (more to come for v2, v3, …)

• Different versions of the runnable MATSim scenarios (no MATSim installation necessary): https://svn.vsp.tu-berlin.de/repos/public-svn/matsim/scenarios/countries/cl/santiago/

• Code: https://github.com/matsim-org/playgrounds/tree/master/santiago

> MATSim user meeting @hEART 2017 > The MATSim Santiago open data model: Development and first applications • Benjamin Kickhöfer • 11.09.2017

Open data scenario

DLR.de • Slide 24

Page 23: The MATSim Santiago open data model · 1. History of MATSim Santiago 2. Recent developments 3. Challenges and first applications 4. Summary and outlook > MATSim user meeting @hEART

• Ideal for BSc or MSc theses; the idea is to integrate every improvement into the current state and create a new version.

• Possible improvements: • Synthesize a 10% or 100% population • Calibrate travel times, counts • Add tolled roads • Activity distribution according to land use data • Network corrections with automatic feedback to OpenStreetMap • Add freight transport (important for emissions!) • Add colectivos, taxis • Include capacity constraints for PT vehicles • Map PT routes to the road network (interaction with cars) • Include bike as transport mode • …

> MATSim user meeting @hEART 2017 > The MATSim Santiago open data model: Development and first applications • Benjamin Kickhöfer • 11.09.2017

Further steps

DLR.de • Slide 25

Page 24: The MATSim Santiago open data model · 1. History of MATSim Santiago 2. Recent developments 3. Challenges and first applications 4. Summary and outlook > MATSim user meeting @hEART

> MATSim user meeting @hEART 2017 > The MATSim Santiago open data model: Development and first applications • Benjamin Kickhöfer • 11.09.2017

Backup

DLR.de • Slide 26

Page 25: The MATSim Santiago open data model · 1. History of MATSim Santiago 2. Recent developments 3. Challenges and first applications 4. Summary and outlook > MATSim user meeting @hEART

• Social value: better transport planning through competition (identification of weak spots of the system, policy studies, environmental/social analysis, provision of public infrastructure)

• Commercial value: creating a platform for innovative mobility-based services (car sharing systems, supply chain/location planning, delivery/logistic planning, navigation, …)

• Transparency:

• Participation/engagement:

> MATSim user meeting @hEART 2017 > The MATSim Santiago open data model: Development and first applications • Benjamin Kickhöfer • 11.09.2017

Opportunities

DLR.de • Slide 27