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Subject:

CMC Seminar - Lissy La Paix - 19 October

From:

Romain Crastes dit Sourd <[log in to unmask]>

Reply-To:

Romain Crastes dit Sourd <[log in to unmask]>

Date:

Wed, 11 Oct 2017 17:43:29 +0100

Content-Type:

text/plain

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*** APOLOGIES FOR CROSS-POSTING ***

Choice Modelling Centre Seminar
Institute for Transport Studies, 
University of Leeds
 
Measurement of non-random attrition effects on mobility rates using trip diaries data
 
Speaker: Lissy La Paix Puello, Assistant professor, Centre for Transport Studies, University of Twente
Thursday 19 October 2017, 11:00 to 12:00
Business School Maurice Keyworth SR (1.06), Maurice Keyworth Building, University of Leeds, Moorland Rd, Leeds LS6 1AN

This paper examines the influence of panel attrition on the intrapersonal dynamics in self-reported trip rates, using the data from the 2013, 2014 and 2015 waves of the Netherlands Mobility Panel, a large scale household panel. A hybrid choice model (HCM) was developed to simultaneously model the effect of socioeconomic, infrastructure and land use variables, life events and non-random attrition on trip rates, whereby the latent variable (LV) model is composed of panel attrition and survey completeness. The discrete choice model (DCM) includes four trip rate categories, including zero trips. The probability of each trip rate category was estimated for both the HCM and the DCM models; with and without the LV model. The first main conclusion from this paper is that the largest bias due to panel attrition occurs in the probability of reporting no trips per day, and 1-2 trips per day. Also, the HCM models show a correlation between the probability of reporting no trips per day and the tendency to drop out altogether. The second main conclusion is that the results show that the latent variables (attrition and completeness) are statistically significant in estimating mobility. Also, socioeconomic variables (gender, driving license, household type and size), mode preferences, spatial infrastructure and life events determine mobility rates and remain significant after adding attrition/completeness variables. Thirdly, the results proved that attrition effects significantly vary across waves. 

About Lissy: In more than 10 years of experience with transport studies, Lissy has worked in several national and international research projects, based in Spain and the Netherlands. Her expertise covers discrete choice models, travel behaviour, quantitative and qualitative methods applied to accessibility, spatial analysis and urban transport planning. She has collaborated in several project proposals across Europe. She was recently granted by University of Twente with incentive funds for talent woman. She has collaborated in Transport and Mobility Laboratory (TRANSP-Or) at Ecole Polytechnique Fédérale de Lausanne (EPFL) and DTU-Transport at Technical University of Denmark, and as consultant in Dominican Republic and Spain. As a lecturer at University of Twente, she has coordinated (2) master courses, supervised master thesis (15) and PhD (4) dissertations. She also worked as postdoctoral research at University of Twente on the project ‘Transit Oriented Development in Randstad South wing’. Previously, she was researcher at the Centre of Transport Research TRANSyT-UPM, where she worked in national and international research projects. Dr. Lissy La Paix has presented more than 35 conference papers in high standing conferences around the world.

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