Estimating, calibrating and validating demand for feeder services during incident detections

This paper discusses the outcomes of stated choice surveys undertaken on-board suburban commuter rail services. Public transport users were provided with hypothetical information regarding delay durations and alternative modes disseminated via different media. Users’ responses, particularly the stated demand for supplementary feeder services, were analysed for the purpose of developing submodal split models during incident detections. The stated preference surveys were preferred because currently there exists neither an integrated public transport information system nor an integrated feeder service for the public transport in the Study Area. Relevant parameters such as socio-demographic and trip characteristics have been estimated using multinomial Logit models. The analysis utilised statistical and multinomial logit software packages such as Microsoft Excel, SPSS and NLogit (LIMDEP). The employed mode choice models included variables such as age, gender, vehicle ownerships, household characteristics, trip purposes, travel time, travel costs and trip length. Inclusion of non-conventional (latent) factors namely “repeated or historical behavioural (mode) choices”, “receiving delay information during previously interrupted trips” and the concept of loss aversion have been considered for the models. Results from the estimation, calibration and validation runs are presented and compared to produce most suitable models representing public transport travellers’ mode switching behaviour in the events of rail incidents.

• Record URL:
  • http://eng.monash.edu.au/civil/research/centres/its/caitr-home/prevcaitr-proceedings/caitr2008.html
• Authors:
  • Bachok, S
• Conference:
  • Conference of Australian Institutes of Transport Research (CAITR), 30th, 2008, Perth, Western Australia, Australia
• Publication Date: 2008-12

Language

• English

Media Info

• Pagination: 16p
• Monograph Title: 30th Conference of the Australian Institutes of Transport Research (CAITR), 10-12 December, 2008, University of Western Australia Business School

Subject/Index Terms

• TRT Terms: Incident management; Modal shift; Railroad transportation; Stated preferences; Travel demand; Work trips
• ATRI Terms: Incident management; Journey to work; Modal shift; Rail transport; Travel demand
• ITRD Terms: 285: Demand (econ); 771: Rail traffic
• Subject Areas: Operations and Traffic Management; Railroads; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01525053
• Record Type: Publication
• Source Agency: ARRB
• Files: ITRD, ATRI
• Created Date: May 20 2014 12:51PM