Dynamic Activity-Travel Diary Data Collection Using a GPS-Enabled Personal Digital Assistant

Kochan, Bruno; Bellemans, Tom; Janssens, Davy; Wets, Geert

doi:10.1061/40799(213)50

Cited by 17 publications

(10 citation statements)

References 4 publications

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“…Axhausen 1995;Stecher et al 1996;Stopher 1992Stopher , 1996Stopher , 2007Hawkins and Stopher 2004). An option of dynamic activity-travel diary data collection using global positioning systems (GPS) with a GPS-enabled personal digital assistant has been explored by Kochan (2004). Martin (2006) suggested that the application of information and communication technology (ICT)-enabled activity and travel surveys can increase response rates.…”

Section: Introductionmentioning

confidence: 99%

Characteristics of household activity and travel patterns in the Mumbai metropolitan region

Subbarao

Rao

2014

Transportation Planning and Technology

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Activity-based modelling approaches require a typical survey instrument which can collect the finer details of activities of each individual over both time and space. This paper focuses on the design of a new survey instrument called an activity-travel diary; examines its method of administration; and analyses activity-travel behaviour in the context of developing countries. The Mumbai Metropolitan Region in India is selected as the study area. With the aim of understanding the activities of each individual over a period of time, a pilot survey was conducted in a continuous time frame for a period of 15 days, followed by a main survey. The analysis of data collected by the instrument reveals some interesting facts regarding the relationships between socioeconomic attributes, activities and trip making behaviour. Identification of interactions among households and other members were also facilitated by the newly designed diary, which is not a well-versed topic for research in the context of a developing economy like Mumbai's.

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Section: Introductionmentioning

confidence: 99%

Characteristics of household activity and travel patterns in the Mumbai metropolitan region

Subbarao

Rao

2014

Transportation Planning and Technology

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“…A review of the literature shows that wearable GPS travel studies have been conducted world-wide, including in the United States (Giaimo et al, 2009), United Kingdom (Steer Davies Gleave andGeostats, 2003), Japan (Ohmori et al, 2005), Belgium (Kochan et al, 2006), Netherlands (Bohte and Maat, 2008), and South Africa (Krygsman and Nel, 2009). Steer Davies Gleave and Geostats (2003) examined data from a wearable GPS subsample of London Area Transport Survey respondents for a threeday period.…”

Section: Gps In Household Travel Surveysmentioning

confidence: 99%

An analysis of the factors influencing differences in survey-reported and GPS-recorded trips

Bricka

Sen

Paleti

et al. 2012

Transportation Research Part C: Emerging Technologies

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Recent advances in global positioning systems (GPS) technology have resulted in a transition in household travel survey methods to test the use of GPS units to record travel details, followed by the application of an algorithm to both identify trips and impute trip purpose, typically supplemented with some level of respondent confirmation via prompted-recall surveys. As the research community evaluates this new approach to potentially replace the traditional surveyreported collection method, it is important to consider how well the GPS-recorded and algorithm-imputed details capture trip details and whether the traditional survey-reported collection method may be preferred with regards to some types of travel.This paper considers two measures of travel intensity (survey-reported and GPSrecorded) for two trip purposes (work and non-work) as dependent variables in a joint ordered response model. The empirical analysis uses a sample from the full-study of the 2009 Indianapolis regional household travel survey. Individuals in this sample provided diary details about their travel survey day as well as carried wearable GPS units for the same 24-hour period.The empirical results provide important insights regarding differences in measures of travel intensities related to the two different data collection modes (diary and GPS). The results suggest that more research is needed in the development of workplace identification algorithms, that GPS should continue to be used alongside rather than in lieu of the traditional diary approach, and that assignment of individuals to the GPS or diary survey approach should consider demographics and other characteristics.

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“…On the other hand, a software application called Parrots that runs on personal digital assistants was used. More information on data collection using Parrots is available in Kochan et al (14) and Bellemans et al (25).…”

Section: Feathers Travel Survey Conducted In Flandersmentioning

confidence: 99%

Measuring and Estimating Suppressed Travel with Enhanced Activity–Travel Diaries

Bellemans

Bladel

Janssens

et al. 2009

Transportation Research Record: Journal of the Transportation R

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Suppressed travel and the related phenomenon of latent transportation demand are important from the point of view of the implementation of traffic–demand management strategies. However, the measurement and estimation of suppressed travel is a nontrivial task that cannot be achieved with the commonly used activity–travel diaries of executed activity and travel episodes. This paper develops an empirical approach for investigating suppressed travel that uses enhanced activity–travel diaries consisting of both a planning and an execution phase. This methodology is applied to data from a 7-day survey in Flanders, Belgium. First, suppressed travel is investigated by observing trip episodes that were planned but not executed. Next, a mixed logit model is built to estimate the probability that a previously planned trip is discarded (i.e., not executed). By means of this model, the household, individual, schedule, activity, and trip attributes that significantly contribute to travel suppression (i.e., the nonexecution of previously planned travel episodes) are identified. The presence of suppressed trips is an indication of the presence of latent transportation demand. Hence, the previously identified attributes can also be interpreted as contributing to latent transportation demand. In addition, the study illustrates that, by considering the special case of suppressed travel corresponding to nonsuppressed activities, the clustering of activities at geographic locations can be investigated. This phenomenon is identified as a special case of trip chaining and, as such, the attributes that significantly influence this form of trip chaining can also be identified by means of the proposed approach.

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Dynamic Activity-Travel Diary Data Collection Using a GPS-Enabled Personal Digital Assistant

Cited by 17 publications

References 4 publications

Characteristics of household activity and travel patterns in the Mumbai metropolitan region

Characteristics of household activity and travel patterns in the Mumbai metropolitan region

An analysis of the factors influencing differences in survey-reported and GPS-recorded trips

Measuring and Estimating Suppressed Travel with Enhanced Activity–Travel Diaries

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