2005Unpublished venueRequires access

A Model of Daily Time Use Allocation Using Fractional Logit Methodology

Xin Ye, Ram M. Pendyala

Open publisher page 18 citations

Abstract

Studies in travel demand model and travel behavior are increasingly focusing on modeling people’s use of time and the effects if time use patterns on activity and travel characteristics. This tendency mainly arises from the shift in transportation planning emphasis from that of infrastructure construction to transportation systems management, travel demand management (TDM), and transportation control measures (TCM). The traditional trip-based travel demand models focus only on the trips made by individuals. Such a narrow perspective on activity-travel behavior is insufficient to evaluate policies aimed at managing and altering activity-travel behavior patterns and choices. In this paper, the fractional logit modeling methodology has been employed to represent time use allocation fractions and patterns of workers and non-workers. The samples used for the modeling effort have been drawn from the 2000 Swiss Travel Microcensus in which detailed socio-economic, demographic, commute, and one-day travel characteristics were collected. Separate models were estimated for worker and non-worker samples to recognize the differing constraints under which these market segments engage in activities and travel.

About this research paper

What this paper is about

Studies in travel demand model and travel behavior are increasingly focusing on modeling people’s use of time and the effects if time use patterns on activity and travel characteristics. This tendency mainly arises from the shift in transportation planning emphasis from that of infrastructure construction to transportation systems management, travel demand management (TDM), and transportation control measures (TCM). The traditional trip-based travel demand models focus only on the trips made by individuals. Such a narrow perspective on activity-travel behavior is insufficient to evaluate policies aimed at managing and altering activity-travel behavior patterns and choices. In this paper, the fractional logit modeling methodology has been employed to represent time use allocation fractions and patterns of workers and non-workers. The samples used for the modeling effort have been drawn from the 2000 Swiss Travel Microcensus in which detailed socio-economic, demographic, commute, and one-day travel characteristics were collected. Separate models were estimated for worker and non-worker samples to recognize the differing constraints under which these market segments engage in activities and travel.

Why it matters

OpenAlex reports 18 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Studies in travel demand model and travel behavior are increasingly focusing on modeling people’s use of time and the effects if time use patterns on activity and travel characteristics. This tendency mainly arises from the shift in transportation planning emphasis from that of infrastructure construction to transportation systems management, travel demand management (TDM), and transportation control measures (TCM). The traditional trip-based travel demand models focus only on the trips made by individuals. Such a narrow perspective on activity-travel behavior is insufficient to evaluate policies aimed at managing and altering activity-travel behavior patterns and choices. In this paper, the fractional logit modeling methodology has been employed to represent time use allocation fractions and patterns of workers and non-workers. The samples used for the modeling effort have been drawn from the 2000 Swiss Travel Microcensus in which detailed socio-economic, demographic, commute, and one-day travel characteristics were collected. Separate models were estimated for worker and non-worker samples to recognize the differing constraints under which these market segments engage in activities and travel.

Key concepts: TRIPS architecture, Travel behavior, Logit, Demand management, Perspective (graphical), Travel time, Logistic regression, Transport engineering

Related papers

Back to paper searchBrowse research topicsOriginal source
A Model of Daily Time Use Allocation Using Fractional Logit Methodology — Research Paper | ScholarLens