Activity-Travel Patterns of Nonworkers in the San Francisco Bay Area: Exploratory Analysis

Misra, Rajiv; Bhat, Chandra R.

doi:10.3141/1718-06

Cited by 49 publications

(31 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…From a broader societal standpoint, the analysis results indicate that single parents are not likely to pursue pure recreational episodes such as exercising, walking, and playing outdoor games (see also Misra and Bhat, 2000 for a similar result). This may be a reflection of the substantial time constraints on such individuals and suggests that population health concerns might warrant societal policies that provide more flexible time at work for single parents.…”

Section: Discussionmentioning

confidence: 48%

A mixed multinomial logit model analysis of weekend recreational episode type choice

Bhat

Gossen

2004

Transportation Research Part B: Methodological

171

View full text Add to dashboard Cite

This paper presents a model for the type of recreational activity episodes that individuals pursue during the weekend. The choice set characterizing the type of recreational episode includes inhome, out-of-home, and pure recreational episodes (pure recreation refers to recreation trips pursued for the sole purpose of the recreational value obtained from the trip, such as walking, bicycling, and joy driving). The paper estimates a mixed multinomial logit formulation using the

show abstract

Section: Discussionmentioning

confidence: 48%

A mixed multinomial logit model analysis of weekend recreational episode type choice

Bhat

Gossen

2004

Transportation Research Part B: Methodological

171

View full text Add to dashboard Cite

show abstract

“…Individuals of Caucasian heritage, according to the GPS data, have a higher propensity to undertake non-work trips relative to individuals of other races (this is a result that has been observed in several earlier studies; see, for example, Misra and Bhat, 2000). The race difference is discernible from the survey data only for the non-work trips of individuals from large households (i.e., households with more than 4 individuals).…”

Section: Non-work Tripsmentioning

confidence: 57%

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

View full text Add to dashboard Cite

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.

show abstract

“…Several earlier activity analysis studies have focused on activity stop generation, either in isolation or jointly with other stop attributes such as location, duration, sequencing, and travel time to stop (for recent examples, see Wen and Koppelman, 1999;Misra and Bhat, 2000;Bhat and Singh, 2000;Bowman and Ben-Akiva, 2000;Kitamura and Fujii, 1998;Arentze and Timmermans, 2002).…”

Section: Introductionmentioning

confidence: 99%

Intershopping duration: an analysis using multiweek data

Bhat

Frusti²,

Zhao

et al. 2004

Transportation Research Part B: Methodological

View full text Add to dashboard Cite

This study examines the rhythms in the shopping activity participation of individuals over a multiweek period by modeling the duration between successive shopping participations. A hazard based duration model is used to model intershopping duration, and a latent segmentation method is applied to distinguish between erratic shoppers and regular shoppers. The paper applies the methodology to examine the regularity and frequency of shopping behavior of individuals using a continuous six-week travel survey collected in the cities of Halle and Karlsruhe in Germany in the fall of 1999. The empirical results underscore the need to adopt a flexible hazard model form for analyzing intershopping durations. The results also provide important insights into the determinants of the regularity and frequency of individuals' shopping activity participation behavior.

show abstract

Activity-Travel Patterns of Nonworkers in the San Francisco Bay Area: Exploratory Analysis

Cited by 49 publications

References 9 publications

A mixed multinomial logit model analysis of weekend recreational episode type choice

A mixed multinomial logit model analysis of weekend recreational episode type choice

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

Intershopping duration: an analysis using multiweek data

Contact Info

Product

Resources

About