The Swiss National Stated Preference Study on Transport 2015

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1 The Swiss National Stated Preference Study on Transport 2015
Claude Weis (TransOptima GmbH) Matthias Kowald (RheinMain University of Applied Science) Kay Axhausen (ETH Zurich) Milos Balac (ETH Zurich) Nicole Mathys (ARE) May 2017

2 The Swiss Microcensus on Mobility and Transport
Swiss national travel survey (MCMT); Conducted every five years (~60´000 participants); Sampling frame: Swiss population (aged 6 and above); Daily mobility (one day CATI diary survey); Stage based with route-recording during the interview (PMT & PT); Since 2010: follow-up stated preference (SP) paper and pencil questionnaire on mode and route choice.

3 Stated preference survey
Sampling frame: MCMT respondents (aged 18 and above); Recruitment during MCMT interviews (~4´000 participants); Represents MCMT in trip characteristics (mode, purpose and length) and respondents´ spatial and socio-demographic properties; Aims to provide basis for transport policy decisions and updates of transport models by: surveying data on mode choice (HPM; PMT; PT) and route choice (PMT; PT); synchronizing two important data sources (MCMT & SP); employing familiar and realistic situations for respondents. vielleicht noch konkreter sagen, dass die RP-Daten für die Konstruktion der SP verwendet werden und dass bei der Auswertungen beide Datensätze verwendet werden können

4 Experimental design: Mode Choice
Alternative Attribute Variation of empirical value PMT Travel time -20% / -10% / +30% Parking search time -25% / +25% / +50% Fuel cost -10% / +20% / +30% Road toll 50% / 100% / 200% of -.06 CHF/km Parking costs Delay risk 10% / 20% / 30% Delay time 50% / 100% / 150% of 0.1 x travel time (max. 30 min) PT In-vehicle time -30% / -10% / +30% Access / egress time -50% / +/-0% / +50% Travel costs No. of transfers -1 / +/-0 / +1 Headway -1 / +/-0 / +1 level* Capacity utilization -1 / +/-0 / +1 level** * Headway levels: 5, 7, 10, 15, 20, 30, 60, 90, 120 min ** Level of capacity utilization: low, median, high, overload Zu viele Ausprägungen, daher Aufteilung in zwei Attributsätze

5 Experimental design: Route Choice
Mode Attribute Variation of empirical value PMT Travel time -30% / -10% / +30% Travel costs -10% / +20% / +30% Road toll 50% / 100% / 200% of -.06 CHF/km PT Main transportation mean -1 / +/-0 / +1 level In-vehicle time Access / egress time -50% / +/-0% / +50% No. of transfers -1 / +/-0 / +1 Transfer time Headway -1 / +/-0 / +1 Stufe Capacity utilization Ebenfalls Aufteilung der Routenwahl ÖV in zwei Attributsätze Bei 5 & 6 sagen, dass die Prozentzuschläge sich jeweils auf die aus dem MATSim-Modell abgeleiteten Attribute beziehen.

6 SP-questionnaire: Capacity utilization PT
low medium intercity intercity local local high overload intercity intercity local local

7 Process of data collection
Week 1 2 3 4 5 Procedure Day Mon – Sun Mon Tue Wed Thur Fri Mon – Fri Recruitment Data processing Monday Aggregate stages to trips Tuesday Choosing trips for SP experiment Wednesday Routing of trips (PMT & PT) Generate questionnaires (experimental design) Thursday Print & send questionnaires Friday Send reminders 14 Befragungswochen in der Hauptstudie evtl. Folie löschen, falls Zeit knapp

8 Response time and rate 14 Befragungswochen in der Hauptstudie

9 Item non-response in SP-experiments
14 Befragungswochen in der Hauptstudie

10 Representativeness: Age, Region, Distance, Purpose
etwas viel Information für eine einzige Folie

11 Preliminary model results: Parameter ratios
Variable Ratio vs. travel time [-] Willingness-to-pay [CHF/h] PMT Travel time - 15.2 Search time 1.92 39.4 Delay 1.68 25.6 PT 15.9 Access / egress time 1.34 21.2 Transfer time 0.73 11.6 No. of transfers 7.53 2.0 Headway 0.38 6.0 1.46 23.1

12 Model results: Values of travel time savings (VTTS)
evtl noch das confidence interval anzeigen

13 Conclusions Connecting MCMT and SP experiments allows to:
synchronize data sources; survey representative information; employ familiar and realistic situations; use synergy effects.  Data are a reliable source for transport policy decisions and updates of transport models. Aggregation of MCMT stages to SP trips is challenging for some participants. Preliminary analysis results indicate only minor changes in parameters between SP 2010 and Deeper analysis is needed: purpose specific models; non linear models; complex models (MMNL; LC Models). die hier aufgeführten conclusions sind prozedural, technisch. Eine Folien zu den inhaltlichen Conclusions - Resultate, wie sie zu anderen Studien stehen und was es für die Verkehrspolitik bedeutet - wäre ein grosser Mehrwert "Aggregation of MCMT stages to SP trips is challenging for some participants." - müsste man vielleicht noch etwas ausführen