Activity sequencing, location, and formation of individual non-mandatory tours: application to the activity-based models for Columbus, Cincinnati, and Cleveland, OH

Paleti, Rajesh; Vovsha, Peter; Vyas, Gaurav; Anderson, Rebekah; Giaimo, Gregory

doi:10.1007/s11116-015-9671-5

Cited by 12 publications

(5 citation statements)

References 10 publications

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“…In fact, analysis of activities' sequences and travel is critical in formulating econometric models embedded in activity-based daily simulations of household activity-travel patterns for large-scale travel demand analysis as many authors observe (Bhat et al, 2013;Burchell et al, 2020;Paleti et al, 2017;Rasouli and Timmermans, 2014).…”

Section: Methodsmentioning

confidence: 99%

Analysing Gendered Mobility Patterns in Barcelona Through Spatiotemporal Segmentation

2022

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Section: Methodsmentioning

confidence: 99%

Analysing Gendered Mobility Patterns in Barcelona Through Spatiotemporal Segmentation

2022

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“…The analysis of activity sequences plays a critical role in formulating econometric models integrated into activity-based daily simulations of household activitytravel patterns for large-scale travel demand analysis, as observed by many authors [8,11,43,44].…”

Section: Sequence Analysis (Sa)mentioning

confidence: 99%

The role of life course and gender in mobility patterns: a spatiotemporal sequence analysis in Barcelona

Montero,

Mejía-Dorantes,

Barceló

2023

Eur. Transp. Res. Rev.

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Citizens participate in various activities to fulfill their needs, advance their socio-economic status, and enhance their well-being through social and health-related engagements. However, activity participation is influenced by many factors in the built environment, such as the spatial and temporal dissemination of activities, which therefore necessitate travel to overcome physical distances. Moreover, individual attributes such as gender, daily schedules, and other socio-economic characteristics also influence mobility patterns. In this paper, we aim to investigate these factors in the specific context of the Barcelona Metropolitan Area using three different samples of residents from annual mobility surveys conducted between 2018 and 2020. To this end, we employ a sequence analysis method that examines the entire trajectory of an individual’s daily activities and travel, considering the number, order, and duration of activities. In this way, we analyse in detail how various individual characteristics and the built environment influence the fragmentation of activities. Our study yields multiple results. First, we find that even in a transport-oriented city, the fragmentation of activities is shaped by gender, especially after age 30, when major changes occur in an individual’s life course, in particular caring responsibilities and family status. Second, we observe that the educational level and year of the sample also play a central role in shaping mobility patterns. Finally, our paper makes a methodological contribution by defining sequence distances, after projecting the original space onto the factorial one defined by the Multiple Correspondence Analysis. This study shows that mobility policies should not focus solely on transport aspects, but also consider the built environment, dwelling location, gender, equity, and individual lifetime characteristics in an integrated manner.

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“…Activity sequence generation in existing fully-fledged transportation models is quite complex, despite the apparent simple power law distribution for activity sequences mentioned earlier (2). For example, a set of four papers (8)(9)(10)(11) describe the tour (i.e., the complete schedule) formation process in an adoption of the Coordinated Travel and Regional Activity Platform (CT-RAMP) for the Phoenix AB model. In this AB model, the central idea is to use activities as a base unit.…”

Section: Related Workmentioning

confidence: 99%

Activity Sequence Generation Using Universal Mobility Patterns

Ectors

Kochan

Janssens

et al. 2021

Transportation Research Record

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Previous work has established that rank ordered single-day activity sequences from various study areas exhibit a universal power law distribution called Zipf’s law. By analyzing datasets from across the world, evidence was provided that it is in fact a universal distribution. This study focuses on a potential mechanism that leads to the power law distribution that was previously discovered. It makes use of 15 household travel survey (HTS) datasets from study areas all over the world to demonstrate that reasonably accurate sets of activity sequences (or “schedules”) can be generated with extremely little information required; the model requires no input data and contains few tunable parameters. The activity sequence generation mechanism is based on sequential sampling from two universal distributions: (i) the distributions of the number of activities (trips) and (ii) the activity types (trip purposes). This paper also attempts to demonstrate the universal nature of these distributions by fitting several equations to the 15 HTS datasets. The lightweight activity sequence generation model can be implemented in any (lightweight) transportation model to create a basic set of activity sequences, saving effort and cost in data collection and in model development and calibration.

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Activity sequencing, location, and formation of individual non-mandatory tours: application to the activity-based models for Columbus, Cincinnati, and Cleveland, OH

Cited by 12 publications

References 10 publications

Analysing Gendered Mobility Patterns in Barcelona Through Spatiotemporal Segmentation

Analysing Gendered Mobility Patterns in Barcelona Through Spatiotemporal Segmentation

The role of life course and gender in mobility patterns: a spatiotemporal sequence analysis in Barcelona

Activity Sequence Generation Using Universal Mobility Patterns

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