Florida Activity Mobility Simulator: Overview and Preliminary Validation Results

Pendyala, Ram M.; Kitamura, Ryuichi; Kikuchi, Akira; Yamamoto, Toshiyuki; Fujii, Satoshi

doi:10.3141/1921-14

Cited by 91 publications

(41 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An historical development of the activity-based models has been recently proposed by Bowman [8]. The state of the art of the activity-based models is continuously in advance, and several systems of models have been developed in academic setting by Hensher and Ton [24], Arentze and Timmermans [3], Pendyala et al [32], and many other authors.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

An activity-based system of models for student mobility simulation

Mazzulla

2009

Eur. Transp. Res. Rev.

View full text Add to dashboard Cite

Purpose The objective of this paper is to provide a tool for transport system planning. Therefore, a system of models for student mobility simulation on a university campus is proposed. Methods An activity-based approach has been adopted. The system of models is sequential, in which each choice dimension is linked to the previous one and involves the choices made at a lower level, and it is made up of multinomial and hierarchical Logit models. Additionally, the Revealed and Stated preferences technique has been adopted for investigating user choice behaviour in the hypothesis that an innovative transport system is realized to access the campus. Conclusions The proposed system of models adopt the activity-based travel approach combined with the conjoint use of the RP and SP methodologies, allowing a better understanding and prediction of users responses to travel demand management measures. The model structure is very realistic for student mobility simulation, helping the analyst in evaluating the effects of park pricing policies and the introduction of a new transport system in the travel users choices.

show abstract

Section: Theoretical Frameworkmentioning

confidence: 99%

An activity-based system of models for student mobility simulation

Mazzulla

2009

Eur. Transp. Res. Rev.

View full text Add to dashboard Cite

show abstract

“…Some models have employed Monte-Carlo simulation to generate activity patterns based on the observed distributions of activity attributes [e.g. FAMOS (Pendyala et al 2005) and TASHA (Miller and Roorda 2003;Roorda et al 2008a)]. This stochastic technique produces random error from the Monte Carlo draws.…”

Section: Introductionmentioning

confidence: 99%

Trend analysis of activity generation attributes over time

2015

View full text Add to dashboard Cite

Activity generation models are relatively poorly developed in activity-based travel demand modelling frameworks. This research investigates whether observed distributions of activity attributes (activity frequency, start time and duration) used as inputs in the activity generation component of an activity-based travel demand model have changed over time. This research empirically examines changes in the distributions of activity generation attributes over time in the Greater Montreal area (GMA), Quebec, Canada. It also focuses on how these attributes vary with peoples' socio-demographic characteristics. This research relies on the 1998, 2003 and 2008 origin-destination (O-D) household travel surveys of the GMA. The comparative analysis at three time points in a 10-year period clearly reveals that distributions of activity attributes are significantly changing over time. Work and school activities show similar trends; frequency ''1'' has increased and frequency ''2?'' has decreased over time. The occurrence of shopping activity on weekdays is decreasing over time. Start time and duration distributions for each activity have also changed significantly over time. The research allows preparing activity attributes for the application of an activity-based model, TASHA, such that they reflect temporal changes in travel behaviour of the GMA.

show abstract

“…Building on top of the basic assumption of Activity-based models (refer to Axhausen and Gärling, 1992;Arentze and Timmermans, 2004;Pendyala et al, 2005;Lin et al, 2008): ''individuals' trips are means to participate in activities and are not undertaken without purpose due to their inherent dis-utility'', the potential of utilizing more detailed, user-generated data for understanding users' willingness to travel in order to participate in different sets of activities during different day times and day types (i.e., weekdays/weekend) is examined.…”

Section: Introductionmentioning

confidence: 99%