Predictors of Walking Duration Time and Walking Mode: Duration and Logit Models On Tour-Based Data

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Baghbani Asiye; SHARIAT MOHAYMANY AFSHIN; RAHMANI SAEED; Sayad Amin; MEHDIZADEH MILAD

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Journal: Journal of Transportation Engineering Year:2020 | Volume:11 | Issue:2 (43) Page(s): 283-298

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Title

Predictors of Walking Duration Time and Walking Mode: Duration and Logit Models On Tour-Based Data

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Keywords

Walking durationQ1

binominal logit modelQ1

duration modelQ1

non-motorizedQ1

Abstract

The increasing rate of traffic congestion, air pollution especially in developing countries, in addition to, the decreasing levels of physical activity have motivated walking as a non-motorized mode choice to decision makers. The study aimed to explore predictors of influencing factors on walking time duration and its choice among individuals in daily trips. For this reason, logit and duration models have been applied. The data used in this study have been gathered for updating the comprehensive transportation plan of Mashhad. The results indicate that various variables such as larger household size, younger people, and higher residential density have a positive relationship with longer Walking duration and higher share of walking trips among all daily trips. Findings also indicate that men and well-educated people walk more compared to the competing groups (women and low-educated people, respectively). The results for various groups of occupations show that in general, students tend to walk more than others. Provision of required infrastructures and setting incentive policies to encourage walking in governmental organizations and private firms can promote walking especially among employees.

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APA: Copy

Baghbani, Asiye, SHARIAT MOHAYMANY, AFSHIN, RAHMANI, SAEED, Sayad, Amin, & MEHDIZADEH, MILAD. (2020). Predictors of Walking Duration Time and Walking Mode: Duration and Logit Models On Tour-Based Data. JOURNAL OF TRANSPORTATION ENGINEERING, 11(2 (43) ), 283-298. SID. https://sid.ir/paper/223861/en

Vancouver: Copy

Baghbani Asiye, SHARIAT MOHAYMANY AFSHIN, RAHMANI SAEED, Sayad Amin, MEHDIZADEH MILAD. Predictors of Walking Duration Time and Walking Mode: Duration and Logit Models On Tour-Based Data. JOURNAL OF TRANSPORTATION ENGINEERING[Internet]. 2020;11(2 (43) ):283-298. Available from: https://sid.ir/paper/223861/en

IEEE: Copy

Asiye Baghbani, AFSHIN SHARIAT MOHAYMANY, SAEED RAHMANI, Amin Sayad, and MILAD MEHDIZADEH, “Predictors of Walking Duration Time and Walking Mode: Duration and Logit Models On Tour-Based Data,” JOURNAL OF TRANSPORTATION ENGINEERING, vol. 11, no. 2 (43) , pp. 283–298, 2020, [Online]. Available: https://sid.ir/paper/223861/en

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