Making mobility easy to understand

“Mobility habits research based on information technologies and open data”

Enrico Howe, Berlin (Germany) Innovation Centre for Mobility and Societal Change

México-Alemania diálogos por un futuro sustentable Metrópolis sostenibles: apostando por un transporte público integrado 21.09.2016, Ciudad de Mexico InnoZ is a German research institute: Strong partner and shareholder network

Headquarter

In Berlin (GER); offices in Munich (GER),

Frankfurt (GER) and London (UK)

Employees

Ø 60

Experience

InnoZ turned 10 in 2016

2 What could the sustainable quarter of the future look like? EUREF-Campus Berlin is piloting several options

3 How can open data support autonomous driving?

4 Even low cost solutions such as improved bicycle parking can benefit from open data

5 Corporate open data policies can support innovations: Example of German Railway (DB) on malfunctions

• DB provides open data for 16 data sets in different formats (xls, pdf, csv, GeoJSON, xml, shape file)

• Location of train stations, bikesharing, • Route network • Platform geometries • • Service stations • … 6 Open Street Map: Main gate to open data on mobility related issues

7 Open data enables better research: The case of our research app modalyzer

modalyzer is an smartphone app, which tracks and analyzes your movements and automatically detects your modes of transportation.

It will analyze your behavior under strict data protection laws as long as you want – full control.

The use of the app is free of charge for the user.

88 modalyzer automatically detects...

Walk Bike

Subway Regional Train Car Train

More modes of can be manually added by the user (boat, airplane, coach). 9 modalyzer substitutes traditional surveys

• High market penetration • Forgetting trips • Familiarity with own device • Over- and underestimating • Impartial & accurate travel distances and durations • fast measuring • Inconvenience for users • Insights & fun for users • Systematic Errors • Cost-efficient scalability • Limited Research Phases • Important: privacy policy

Quelle: Sandra Wappelhorst

10 modalyzer compared to traditional transport surveys

Smartphone- Travel Surveys Tracking

User Days

Accuracy

Time to Results

Costs

11 Tracked trips within survey period in Berlin 14 days in May 2015

12 Tracked trips within survey period in Berlin Automatic recognition of 9 modes of transportation

13 Tracked trips within survey period in Berlin Points of interest, e.g. home and work

14 modalyzer gives the opportunity of various visualizations of your mobility

15 modalyzer international (as of June 2016)

TOP 5: Germany Austria Switzerland Netherlands UK

16 1) Use case : Supporting the set up of an integrated city development scheme

• Modal split in Zhytomyr contains of private car use, , walking and little cycling • Public transportation depends on trolleybusses, marshrutka and tram • City does not know about inter- and multimodal use of transportation systems • 178 user days & 11,360 validated km within two months

17 2) Use case Berlin: Quantifying the role of bicycle-public transportation combinations in Berlin

Share of cycling trips, which are combined with public transportation

12%

n = 101 persons (Tracking) 18 2) Use case Berlin: Open data enables us to give new impulses In some neighborhoods particular low travel speeds

n = 101 persons, 3,075 ways (Tracking), displayed values always average 19 Outlook: First pilot tests in Mexico City from June to August 2016

20 Open data boosts integrated urban development

• Mexico City is a highly compacted city with • a major traffic challenges such as traffic jams and smog • Mexico City can benefit from…

• Further establishment of manifold and accurate open data sets

• Analyzing big data sets on individual user mobility

• Exploring the intersections of multi- and intermodal trips  integrated research

contact me for partnership ideas 21 Contact

Enrico Howe

[email protected] +49 (30) 238 884 211

making mobility easy to understand www.modalyzer.com