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The household survey of Budapest and its surroundings
The theoretical background and technology of the household survey Zsolt Berki TRANSMAN Consulting for Transport System Management 1051 Budapest Hercegprímás u. 10. Tel.: Fax: Internet:
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Objectives Investigation of modal-split characteristics to support transport policy of Budapest and strategy of BKV Harmonisation of supply based on the measured flows within network planning Brush up marketing by collecting the opinions/judgments on public transport services Calibration of performance factors (average number of boardings, average trip length, etc.) used to calculate the number of passengers and passenger performances by ticket type
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Determination of the key drivers of mode choice
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Theoretical diagram of mode choice decision making process
T => Time K => Cost S => Service
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Survey ‘book’ outline
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Survey sheet of private homes
semi-proper address number of inhabitants home type conveniences income category available transport means
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Survey sheet of vehicles
category age parking place ownership usage frequency engine size (ccm) fuel type
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Survey sheet of persons
sex age activity educational level driving licence pass holding legitimacy of concessionary fee employers’ subsidy Internet, car usage
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Survey sheet of trips from to trip purpose departure time
mode of travel detailed questions for trip legs depending on mode choice
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Trip definition
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Trip definition - 2
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Trip definition - 3
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Survey sheet of trips from to trip purpose departure time
mode of travel detailed questions for trip legs depending on mode choice
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Judgments and decision making factors
judgment of burdens caused by city-life mode choice satisfaction with BKV alternative operators (MÁV and VOLÁN) judgment of fare dodgers at car users: Why? In which case would you choose other means of transport? Would you mind to use P+R facilities?
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Distribution of communal homes in Budapest
43858 tenants (HCSO, 2001) disproportionate area distribution concentrated, partly homogeneous transport demand decisive local role
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Development of the market research software (CAPI)
More accurate No need for coding, recording and the extra costs caused by them (time, personal, mistakes) can be avoided Cheaper, ~ 20% less Homogeneous computer farm More details and better quality More efficient post processing capabilities Developer: CData (T-SYSTEMS) under supervision of TRANSMAN
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Program characteristics
RDBMS (Ms Access) Digital map based Internalization of PT services (encoding) System design based on the survey book
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Sample size Statistical analysis/tests on sample size (1%, 2%, 4%, 8%), confidence levels and probable deviation Confidence level (90% and 95%) The deviation is pretty low on trip rates, 1% sample size – less 2% deviation pretty high deviation on interzonal traffic including mode choice the deviation is higher than 120%. Therefore appropriate processing and usage of the data is at least so important as the sample size
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Age of challenges Commercialization of BKV
Methodology of model building Survey technique
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Thanks for your attention!
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