Analysis of long-distance vacation travel demand in the United States: a multiple discrete–continuous choice framework

Nostrand, Caleb Van; Sivaraman, Vijay; Pinjari, Abdul Rawoof

doi:10.1007/s11116-012-9397-6

Cited by 51 publications

(25 citation statements)

References 22 publications

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“…The chi-square value of unrestricted model was 234. 4 and that of restricted model was 2684.4. The difference value of chi-square was 2450, and the probability value of chi-square difference quantity significance test was p = 0.000, reaching the significant level (p < 0.05).…”

Section: Verification Of Hypotheses: Structural Model Of Passengers' mentioning

confidence: 96%

Influencing Mechanism of Potential Factors on Passengers’ Long-Distance Travel Mode Choices Based on Structural Equation Modeling

et al. 2017

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Understanding the public transportation users' preferences to long-distance travel modes would contribute to reasonable developing policies and resource allocation. This paper aims to explore the influencing mechanism of potential factors on the long-distance travel mode choice. A survey was conducted to collect the data. The analysis of variance (ANOVA) approach was applied to analyze the correlation relationship between potential factors and travel mode choice behavior. The results showed that, except gender, service demand for safety and departure time, all of the other factors significantly influenced the travel mode choice behavior. Specifically, passengers with higher education level and income level were more likely to choose high-speed railway (HSR) and plane; passengers caring about travel expense were more likely to choose ordinary train, whereas plane and HSR may be chosen more by passengers caring more about comfort, punctuality and efficiency; the more passengers were satisfied with travel modes' service performance, the more they would be likely to choose them; the most competitive distance ranges for coach, ordinary train, HSR and plane were below 500 km, 500-1000 km, 500-1500 km and over 1500 km, respectively. Besides, the structural equation modeling (SEM) technique was applied to investigate the influencing mechanism of factors on the long-distance travel mode choice. The results revealed that travel distance was the most significant variable directly influencing passengers' mode choices, followed by the service demand, performance evaluation, and personal attributes. Furthermore, personal attributes were verified to have an indirect effect on travel mode choice behavior by significantly affecting the service demand and performance evaluation.

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Section: Verification Of Hypotheses: Structural Model Of Passengers' mentioning

confidence: 96%

Influencing Mechanism of Potential Factors on Passengers’ Long-Distance Travel Mode Choices Based on Structural Equation Modeling

et al. 2017

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“…The model we develop offers the possibility to study several important dimensions of outdoor recreationamount of time spent, travel mode and destination choicein a consistent framework in which actors maximize utility. The MDCEV framework has been used to investigate the somewhat related topic of time spent on vacation by Van Nostrand et al (2013) and LaMondia et al (2008), but these studies do not consider travel mode and destination choice simultaneously.…”

Section: Introductionmentioning

confidence: 99%

Nature-based outdoor recreation trips: Duration, travel mode and location

Gosens

Rouwendal

2018

Transportation Research Part A: Policy and Practice

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This paper studies the allocation of time to outdoor recreation trips in various natural environment types. We merge a multiple discrete-continuous demand system for time allocation with a discrete choice model for destination and travel mode choice. Accessibility enters the time allocation model through the logsum of the travel mode/destination choice stage. The model is estimated on data for the Netherlands, which was gathered through an activity diary approach that covers one entire year. Our model shows that personal characteristics, household characteristics, contextual variables and accessibility all augment the allocation of time to the set of natural environment types. The resulting estimates allow us to evaluate outdoor recreation policy initiatives, and we simulate the impact of changes in the availability of natural environment types with a constrained optimization approach. We show that time allocation changes are rather small with our simulated policy initiative, but have the intended effect on the group of consumers which the policy initiative aims for.

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“…From Equation 1, the utility function is defined as an additively separable function of subutilities derived from consuming goods, u gk (x qk ); subutilities derived from allocating time to nonwork activities, ũ gn (t qn ); and a subutility from the time allocated to work, ũ gw (t qw ). The functional form of the subutilities follows the linear expenditure system utility form originally proposed by Bhat (7), which was extended by Van Nostrand et al (13) to accommodate minimum required consumption and time allocation: where ψ qgk , ψ qgn , and ψ qgw = baseline marginal utility parameters associated with good k, nonwork activity type n, and work activity, respectively; x 0 qk = minimum required consumption of good k (if it is consumed); t 0 qn = minimum amount of time required to conduct activity n (if that activity is conducted); and t 0 qw = minimum required duration for work. As with many previous studies, exogenously given minimum levels of goods consumption and time allocation were considered in the current study (4,14).…”

Section: Methodsmentioning

confidence: 99%

A Microeconomic Theory–Based Latent Class Multiple Discrete–Continuous Choice Model of Time Use and Goods Consumption

Astroza

Pinjari

Bhat

et al. 2017

Transportation Research Record: Journal of the Transportation R

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A microeconomic theory-based multiple discrete-continuous choice model was developed to accommodate (a) both time allocation and goods consumption as decision variables in the utility function, (b) both time and money budget constraints governing the activity participation and goods consumption decisions, (c) a finite probability of zero consumption and zero time allocation (i.e., corner solutions), and (d) technical constraints in the form of minimum consumption levels for any good that would be consumed and minimum time allocation for any activity conducted. The proposed model was applied in the form of a latent class model (to consider heterogeneity) on a Dutch data set to understand the determinants of weekly time use and goods consumption behavior.

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Analysis of long-distance vacation travel demand in the United States: a multiple discrete–continuous choice framework

Cited by 51 publications

References 22 publications

Influencing Mechanism of Potential Factors on Passengers’ Long-Distance Travel Mode Choices Based on Structural Equation Modeling

Influencing Mechanism of Potential Factors on Passengers’ Long-Distance Travel Mode Choices Based on Structural Equation Modeling

Nature-based outdoor recreation trips: Duration, travel mode and location

A Microeconomic Theory–Based Latent Class Multiple Discrete–Continuous Choice Model of Time Use and Goods Consumption

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