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A case study from A case study from

A case study from - PowerPoint Presentation

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A case study from - PPT Presentation

Budapest Categorization of bike sharing system s Authors Tamás MÁTRAI PhD Student János TÓTH PhD Head of Department People lives in urban area will grow from 33 to 64 billion until 2050 ID: 582150

day systems phd trips systems day trips phd data length system area mol budapest sharing categorization bicycle main tool

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Slide1

A case study from Budapest

Categorization of bike sharing systems

Authors

:Tamás MÁTRAI, PhD StudentJános TÓTH (PhD), Head of DepartmentSlide2

People lives in urban area will grow from 3,3 to 6,4 billion until 2050.In several of her presentation Robin Chase quoted Stanford professor

Banny Banerjee : "You can’t solve exponential problems with linear solutions.„ Sharing economy can be this non-linear solution.Unfortunately, there is no comprehensive, worldwide comparative evaluation of the PBS systems. The data about the systems are not available in every cases.

MotivationsSlide3

Understanding PBSSlide4

Generations of Public Bike SharingSlide5

Components of the FrameworkSlide6

DatabaseSlide7

Main categorization

criteriaCity basedPBS system size basedBusiness

model basedAccessibility basedThere is no need for all of theparameters in clustering.

Our assumption is that 90% of the systems could be classified into one of the 5 clusters.CategorizationSlide8

Budapest in general

Population: 1 750 000 inhabitantsLand

area: 525 km2Road network length: 4 500 kmCar trips per day:

~1 600 000PT system length: 3 300 kmPT passenger trips per day: 2 220 000DCI length: 288 kmCycling trips per day: ~150 000Mol BUBIBudapest downtown area 15 km2

98

docking station

(

2116

stands)

1

2

00

bicycles

~3 670 000 € total cost

Support

in operation: MOL Hungary

2000

trips

/

day

Data

about

the

Budapest

systemSlide9

Mol Bubi in picturesSlide10

SWOT for Mol Bubi

Strengths

Weaknesses

OpprtunitiesThreatsfavorable geographical locationdense dock

stations

network

intelligent

bicycle

distribution

On-board

unit

on

the

bikes

growing share of cycling

growing

tourism

climate

change

Robust

and

heavy

bikes

Long-term

access

with

personel

registration

only

incomplete

bicycle network

dangerous cycling on some roads

effects

of

politics Slide11

Benchmark toolSlide12

Impact assessmentSlide13

This paper illustrates the interim status of a PhD research. The collection of data is the main task. Parallel with this, an elaboration of guidelines is in progress.

This tool could be use on a different level. The methodology with a detailed list of parameters could be a planning aid and a shortlist of the properties could give a simply comparison of different systems for non-professional users. The principle now is clear but the detailed elaboration is still under progress, it will be finished in this year. SummarySlide14

Thank

you for your Attention!

Tamás MÁTRAI

PhD Student, BMEtamas.matrai@mail.bme.hu+36-20-260-6171+36-1-463-3742