This paper explores access mode choice behavior, using a survey data collected in Taiwan.
The latent class nested logit model is used to capture flexible substitution patterns among …

A clear understanding of the sources and amount of ridership on a new or improved travel
mode is critical to evaluating the financial, travel flow, and external impacts of proposed …

A combined stated preference (SP) and revealed preference nested logit model of access
and main mode choice was developed for the Tel Aviv metropolitan area. The data used for …

The provision of efficient and effective urban public transport and transport policy requires a
deep understanding of the factors influencing urban travellers' choice of travel mode. The …

Investments for improving long-distance travel infrastructure are substantial and may have
significant impacts on travel demand, the environment, and the economy, and therefore …

This study examines mode choice behavior for intercity business and personal/recreational
trips. It uses multinomial logit and nested logit methods to analyze revealed preference data …

This paper presents an analysis of access mode choice by riders of one of the first US
suburb-to-suburb commuter railroads, the Westside Express (WES), in the Portland, Oregon …

This study developed a mode choice model that can be used to describe how transit users
select emerging competitive transit options. Specifically, the mode choice model considers …

The San Francisco Bay Area Water Transit Authority is evaluating expanded ferry service, as
required by the California Legislature. As part of this process, Cambridge Systematics …

This article applies two recently stated choice survey datasets of Japan to investigate the
difference between the Latent Class Model (LCM) and the Mixed Logit Model (MLM) for …