Safety and accessibility as major keys for bicycle-friendly cities

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Transcript of Safety and accessibility as major keys for bicycle-friendly cities

Safety and accessibility

as major keys for

bicycle-friendly cities

Martin Loidl

Department of Geoinformatics, Z_GIS

University of Salzburg

martin.loidl@sbg.ac.at | http://gicycle.wordpress.com

Bicycle Friendliness - QoL

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http://www.copcap.com/Newslist/2013/Copenhagen-ranked-no-1-as-

the-most-livable-city

http://www.streets.mn/

Positive effects for individuals

and urban societies

Which factors make cities

bicycle friendly?

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http://upload.wikimedia.org/wikipedia/commons/c/c3/Bicycle_parking_lot.jpg

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Existence ≠

Accessibility!

http://static.panoramio.com/photos/large/57999280.jpg

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http://www.johns-cycling-diary.co.uk/?p=725 http://www.johns-cycling-diary.co.uk/?p=725

http://newcastlecycleways.org.au

Physical Obstacles &

Dangerous Sections

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Connectivity

https://static.panoramio.com.storage.googleapis.com/photos/large/80494278.jpg

Positive Example

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http://hovenring.com/design/

Hovenring, Eindhoven (Netherlands)

Problem Statement

Many highly frequented institutions (main station,

university etc.) provide adequate bicycle

infrastructure.

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https://www.stadt-salzburg.atML

Problem Statement

Many cities and regions invest in bicycle infrastructure

in order to increase the modal split.

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https://www.stadt-salzburg.at

Problem Statement

Despite these efforts, the potential of the bicycle can

not be used in the most effective way

Lack of connectivity

Poor accessibility

Obstacles

Thus accessibility and safety needs to be taken into

acount in planning for bicycle traffic!

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Research Work GI Mobility Lab

Safety evaluation of

Immediate environment and

Accessibility of popular destinations

Provision of a web-based planning tool

Status-quo analysis

Assessment for different criteria

Simulation of the effect of several measures

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Basis

Indicator-based assessment tool [1]

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[1] LOIDL, M. & ZAGEL, B. Assessing bicycle safety in multiple networks with different data models. In: VOGLER, R., CAR, A., STROBL, J. & GRIESEBNER,

G., eds. GI-Forum, 2014 Salzburg. Wichmann, 144-154.

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≤ 0.1 ... optimal

≤ 0.2

≤ 0.3

≤ 0.4

≤ 0.5

≤ 0.6

≤ 0.7

≤ 0.8

≤ 0.9

> 0.9 ... worst

Bikeability around

TechnoZ

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≤ 0.1 ... optimal

≤ 0.2

≤ 0.3

≤ 0.4

≤ 0.5

≤ 0.6

≤ 0.7

≤ 0.8

≤ 0.9

> 0.9 ... worst

Bikeability around

VHS

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≤ 0.1 ... optimal

≤ 0.2

≤ 0.3

≤ 0.4

≤ 0.5

≤ 0.6

≤ 0.7

≤ 0.8

≤ 0.9

> 0.9 ... worst

Bikeability around

Eichetstr. 2

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≤ 0.1 ... optimal

≤ 0.2

≤ 0.3

≤ 0.4

≤ 0.5

≤ 0.6

≤ 0.7

≤ 0.8

≤ 0.9

> 0.9 ... worst

Bikeability around

NaWi

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Accessibility NaWi

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Accessibility NaWi

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Planning Tool

Interactive, web-based planning tool:

http://gimobility.sbg.ac.at/network-assessment/index.html

@gicycle_

gicycle.wordpress.com

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