Structural equation modeling for travel behavior research

Golob, Thomas F.

doi:10.1016/s0191-2615(01)00046-7

Cited by 824 publications

(463 citation statements)

References 104 publications

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“…Although maximum likelihood estimation is fairly robust against violations of multivariate normality for sufficiently large sample sizes (Golob 2001), this may cause some bias in the standard errors and goodness-of-fit estimates.…”

Section: Methods and Resultsmentioning

confidence: 99%

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Involvement in clubs or voluntary associations, social networks and activity generation: a path analysis

2012

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Leisure activities have received increasing attention from travel behavior researchers over the past decade. However, these activities are often treated as a single category, neglecting their differences. Whereas most leisure activities are flexible, club activities are usually scheduled longer in advance and are more fixed in time, location and company. Hence, trip-generating properties of club activities are likely to differ from those of other leisure activities. As very little is known about involvement in clubs or voluntary associations in relation to trip generation, voluntary association activities deserve further research in relation to travel. Therefore, in this paper a path analysis is conducted, analyzing the relationships between participation in clubs or voluntary associations, trip frequencies, and social network characteristics. The analyses are based on data collected in 2011 in Eindhoven in the Netherlands in a survey among 516 respondents. The results show interesting relationships between the social context and involvement in clubs. They indicate that people become club members through their social networks, and frequent club activities increase social network size. Family oriented people were found to go less often to clubs. Club membership and the frequency of going to club activities were also found to be affected by socio-demographics, such as gender, age, education, work, presence of young children in the household and owning a season ticket for public transport.

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Section: Methods and Resultsmentioning

confidence: 99%

“…The number of known quantities is equal to the number of free elements in the variance-covariance matrix of the variables. A saturated (or just-identified) model has zero degrees of freedom and fits perfectly (Golob 2001).…”

Section: Effects Of Explanatory Variables On Travel Frequency To Assomentioning

confidence: 99%

Involvement in clubs or voluntary associations, social networks and activity generation: a path analysis

2012

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“…Numerous studies using SEM methods have been conducted on travel demand and travel behavior (see Golob, 2003). In this study as well, the structural equation modeling method is employed, on time-series data, to estimate the causal relationships in the conceptual model.…”

Section: Methodsologymentioning

confidence: 99%

Telecommunications and travel demand and supply: Aggregate structural equation models for the US

Choo

Mokhtarian

2007

Transportation Research Part A: Policy and Practice

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Disaggregate studies of the impacts of telecommunications applications (e.g. telecommuting) on travel have generally found a net substitution effect. However, such studies have all been short-term and small-scale, and there is reason to believe that when more indirect and longer-term effects are accounted for, complementarity is the likely outcome. At least two aggregate studies have focused on the relationships between telecommunications and travel from economic perspectives (consumer and industry). However, both use the monetary value of consumption or transactions rather than actual activity measures (e.g. miles, number of calls), and neither fully explains the direct and indirect causal relationships between the two. The purpose of this study is to develop a conceptual model in a comprehensive framework, considering causal relationships among travel, telecommunications, land use, economic activity, and socio-demographics, and to explore the aggregate relationships between telecommunications and travel, using structural equation modeling of national time series data spanning 1950-2000 in the US. In this paper we focus on number of telephone calls as the measure of telecommunications, and passenger vehicle-miles traveled as the measure of transportation. Future research will investigate additional measures of these two constructs. Our empirical results strongly support the hypothesis that telecommunications and travel are complementary. That is, as telecommunications demand increases, travel demand increases, and vice versa. These results offer a more realistic picture to policy makers and transportation planners than has been available till now, and suggest useful directions for them to develop transportation or telecommunications strategies designed to reduce traffic congestion, air pollution, and energy consumption.

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“…Hankins et al (2000) provide statistical guidelines including general assumptions, sample size, estimation methods and goodness-of-fit for the application of SEM to explore TPB-based behavioral frameworks. Applications of SEM in travel behavior research over three decades were reviewed by Golob (2003).…”

Section: Estimated Modelsmentioning

confidence: 99%

The relationship between young people׳s transit use and their perceptions of equity concepts in transit service provision

Kaplan

Silva²,

Ciommo

2014

Transport Policy

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Theory of planned behavior Structural equation models a b s t r a c tThis study investigates the effect of price and travel mode fairness and spatial equity in transit provision on the perceived transit service quality, willingness to pay, and habitual frequency of use. Based on the theory of planned behavior, we developed a web-based questionnaire for revealed preferences data collection. The survey was administered among young people in Copenhagen and Lisbon to explore the transit perceptions and use under different economic and transit provision conditions. The survey yielded 499 questionnaires, analyzed by means of structural equation models. Results show that higher perceived fairness relates positively to higher perceived quality of transit service and higher perceived ease of paying for transit use. Higher perceived spatial equity in service provision is associated with higher perceived service quality. Higher perceived service quality relates to higher perceived ease of payment, which links to higher frequency of transit use.

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Structural equation modeling for travel behavior research

Cited by 824 publications

References 104 publications

Involvement in clubs or voluntary associations, social networks and activity generation: a path analysis

Involvement in clubs or voluntary associations, social networks and activity generation: a path analysis

Telecommunications and travel demand and supply: Aggregate structural equation models for the US

The relationship between young people׳s transit use and their perceptions of equity concepts in transit service provision

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