Satisfaction with travel, ideal commuting, and accessibility to employment

Pritchard, John P.; Geurs, Karst; Tomasiello, Diego Bogado; Slovic, Anne Dorothée; Nardocci, Adelaide Cássia; Kumar, Prashant; Giannotti, Mariana Abrantes; Hagen‐Zanker, Alex

doi:10.5198/jtlu.2021.1835

Cited by 8 publications

(6 citation statements)

References 35 publications

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“…Moreover, we found that the ACT positively correlates with both the ICT and MCT. These findings are consistent with Pritchard et al (2021).…”

Section: Discussionsupporting

confidence: 88%

“…Comparing to the findings of Redmond and Mokhtarian (2001) 1.2%, O'Fallon and Wallis (2012) 3%, Humagain and Singleton (2020) 8.4%, the percentage of people wanting an ICT of zero minutes in Jounieh is normal and lower than that in Portland, Oregon. Another study based on a survey applied in GLA, MSP, and NLR showed on average an ACT, ICT, and MCT of 29, 19, and 48 minutes, respectively (Pritchard et al, 2021). O'Fallon and Wallis (2012) also recorded a lower ACT (20 minutes) in Auckland and Wellington, as well as Humagain and Singleton (2020), ACT of 33.5 minutes in Portland, Oregon.…”

Section: Discussionmentioning

confidence: 94%

“…Another study done by Pritchard et al (2021) investigated the relationships between commuting times based on a survey applied in the Greater London Area (GLA), Municipality of Sao Paulo (MSP), and the Dutch Randstad (NLR). The data collected was done between June 2017-2018, and a total of 2,664 people were interviewed.…”

Section: Literature Reviewmentioning

confidence: 99%

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Analysing Associations between the Actual, Ideal and Maximum Willingness to Commute Time, as well as Satisfaction with Commuting: A Case Study of Jounieh, Lebanon

Falah,

Mehriar,

Masoumi

2023

Period. Polytech. Transp. Eng.

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Many studies have been conducted worldwide to study travel behavior, specifically commuting times. Nevertheless, few or none have been conducted in the Middle East and North Africa region. The main objective of this paper is to understand the relationship between the actual, ideal and maximum willingness to commute times, and satisfaction with commuting in the city of Jounieh, Lebanon. Socio-economic and land use factors were included to investigate whether they influence commuting times. The average commuting time of the sample is 48.2 minutes, longer than their ideal commute time by about 20 minutes, while their maximum willingness to commute time is 53.46 minutes. The sample was neither satisfied nor dissatisfied with their commutes. After performing multivariate Ordinary Least Squares model, and fixing the socio-economic and land use variables, the model proved that the actual and ideal commuting times as well as the actual and maximum commuting times are positively correlated, but the actual commuting time and satisfaction are negatively correlated. A univariate Ordinary Least Square model was performed to determine the correlation between ideal and maximum commuting times; they are highly positively correlated. Finally, the average commuting times and satisfaction were compared for some categories. Women spend almost 13% less time commuting than men, yet they have lower level of satisfaction. Lebanese commuters are also shown to commute more than non-Lebanese ones by approximately 22%. University level commuters commute about 36% more than non-university level people, while unemployed and employed respondents commute for the same time.

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“…Moreover, we found that the ACT positively correlates with both the ICT and MCT. These findings are consistent with Pritchard et al (2021).…”

Section: Discussionsupporting

confidence: 88%

Section: Discussionmentioning

confidence: 94%

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Analysing Associations between the Actual, Ideal and Maximum Willingness to Commute Time, as well as Satisfaction with Commuting: A Case Study of Jounieh, Lebanon

Falah,

Mehriar,

Masoumi

2023

Period. Polytech. Transp. Eng.

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“…These three statistics are consistent with the data obtained by other researchers. Relevant studies have shown that the ICT is concentrated on 10 to 20 min ( 20 , 33–35 ), while the acceptable or tolerable commute time is mainly distributed between 30 and 40 min ( 11 , 12 , 19 , 26 , 36 ). The average ICT, ACT, and TTCT in Kunming in 2014 were 18.6 min, 28.7 min, and 37.4 min, respectively ( 8 ).…”

Section: Discussionmentioning

confidence: 99%

Exploring the Nonlinearity of Commute-Time Utility Considering Individual Ideal Preferences and Tolerance ThresholdsC: ase Study in Kunming

Yang

et al. 2023

Transportation Research Record: Journal of the Transportation R

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Exploring the nonlinearity of commute-time utility is useful in predicting urban travel demand. However, existing studies assume that commute utility decreases linearly with commute time. This ignores the influence of commuters’ ideal preferences and tolerance thresholds on commute utility. To reveal the nonlinear variation of commute utility with commute time and its influence on the choice of commute mode, the ideal commute time (ICT) and the tolerance threshold for commute time (TTCT) were introduced. Three-piecewise linear utility models (Models 2, 3, 4) were constructed and compared with the linear utility multinomial logit model (Model 1). The results of empirical study showed that: (a) the goodness of fit of these three modified models is higher than that of Model 1, indicating that the fitting effect of the commute-time utility model can be improved with either or both the ICT and TTCT; (b) there is a nonlinear relationship between the commute utility and the commute time. The commute-time utility decreases slowly before ICT, declines steadily between the ICT and the TTCT, and falls significantly after TTCT; and (c) when the commute time exceeds the TTCT, the perceived utility of commuters traveling by walking or cycling decreases significantly, and there are few changes in the perceived utility of commuters by car, which increases the probability that commuters who use active modes will transfer to commuting by car. The research results have implications for improving the prediction capacity of commute mode choice model and could guide commuters to switch to more sustainable commute modes.

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“…The theoretical basis for clustering the respondents using these three variables is that the ICT reflects commuters' preferences in terms of commuting times [50,53]. When the ACT is close to the ICT, the perceived satisfaction of commuters is better [41,43,78]. While the TTCT reflects commuters' tolerance of commuting times [57,58], When the ACT approaches or even exceeds the TTCT, the negative motions of commuters significantly increase [54], which leads to a sharp satisfaction decrease [40,42].…”

Section: Group Differences In the Nonlinear Relationships Between Com...mentioning

confidence: 99%

Exploring the Group Difference in the Nonlinear Relationship between Commuting Satisfaction and Commuting Time

Yang

2022

Sustainability

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Analyzing commuting-time satisfaction could help to improve the subjective well-being of society. This study aimed to explore the nonlinear relationship between commuting satisfaction and commuting times in different groups and its influencing factors. An empirical study was conducted in Kunming, China. Firstly, applying a random forest algorithm revealed that there was a nonlinear relationship between commuting satisfaction and commuting time. Secondly, the k-means clustering algorithm was used to divide the respondents into three types of commuter: short-duration-tolerant (group 1), medium-duration-tolerant (group 2), and long-duration-tolerant (group 3). It was found that the commuting-time satisfaction of these three clustered groups had different threshold effects. Specifically, the commuting satisfaction of group 1 showed a nonlinear downward trend, which decreased significantly at 12 and 28 min, respectively; the commuting satisfaction of group 2 rapidly decreased at 35 min; the commuting satisfaction of group 3 first increased in the range of 20–30 min, decreased significantly after 45 min, and decreased sharply above 70 min. These time thresholds were consistent with the ideal commuting times (ICTs) and tolerance thresholds of the commuting times (TTCTs) of the three clustered groups, which indicates that the ICT and TTCT had significant effects on commuting satisfaction. Lastly, the results of the multinominal logistic model showed that variables such as the commuting mode, job–housing distance, income, and educational background had significant effects on the three clustered groups. The policy implications of the study are that commuting circles should be planned with the TTCT as a constraint boundary and ICT as the optimal goal; in addition, different strategies should be adopted for different commuting groups to improve commuting satisfaction.

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Satisfaction with travel, ideal commuting, and accessibility to employment

Cited by 8 publications

References 35 publications

Analysing Associations between the Actual, Ideal and Maximum Willingness to Commute Time, as well as Satisfaction with Commuting: A Case Study of Jounieh, Lebanon

Analysing Associations between the Actual, Ideal and Maximum Willingness to Commute Time, as well as Satisfaction with Commuting: A Case Study of Jounieh, Lebanon

Exploring the Nonlinearity of Commute-Time Utility Considering Individual Ideal Preferences and Tolerance ThresholdsC: ase Study in Kunming

Exploring the Group Difference in the Nonlinear Relationship between Commuting Satisfaction and Commuting Time

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