Abstract
Recently, there have been emerging demands for new transportation modes, such as personal rapid transit (PRT), to improve the connectivity of first and last mile travel. Advancement of ICT and growing concerns over environmental issues reinforce such demands through which specific transportation modes can satisfy the need of each individual for short-distance trips. Although PRT has received particular attention for short-distance trips, it is true that recent approaches have been developed to analyze the behavior of travelers for mid- to long-distance trips that are not relevant for short-distance trips. This study proposed a suitable approach using logistic regression models that could assist the understanding of features which determine mode choice in a short-distance trip. The mode choice for PRT in short-distance trips in this study was based on the data from the survey. After considering various factors, it was apparent that the purpose of the trip together with weather conditions impacted significantly on travelers’ mode choices to PRT in short-distance trips. Additionally, it is expected that this study will play an important initial role in analyzing emerging transportation modes that can more easily respond to new demands for short-distance trips.
Highlights
In the four-step travel demand modeling process, mode choice models compute the proportion of trips that use a specific transportation mode between each origin and destination estimated from the trip distribution step. e capacity to explain the mode choice models following the introduction of a new mode or improvement of transportation service directly affects the accuracy of estimated trips by each mode, e.g., [1,2,3]
(3) Various factors were reviewed as explanatory variables from previous studies. ese trip features, environmental features, and individual characteristics most affected the mode choice for a shortdistance trip. In addition to these factors, the trip purpose, weather condition, personal rapid transit (PRT) fare, travel time, and accompaniment were selected as determinants for the mode choice model in the study
A four-step approach was taken, of which questionnaires were developed from steps 1 to 3 and step 4 was about how to calibrate the mode choice models in this study: (1) A total distance of 4 km was divided into five intervals of 800 meters per each
Summary
In the four-step travel demand modeling process, mode choice models compute the proportion of trips that use a specific transportation mode between each origin and destination estimated from the trip distribution step. e capacity to explain the mode choice models following the introduction of a new mode or improvement of transportation service directly affects the accuracy of estimated trips by each mode, e.g., [1,2,3]. (1) Multiple factors were considered for mode choice models (2) Traditional factors (e.g., travel distance and time) were not always involved in mode choice studies e mode choice for a short-distance trip may not follow the traditional approaches of mid/long-distance trips. Ese trip features (e.g., travel time, travel distance, and trip purpose), environmental features (e.g., walking comfort and weather), and individual characteristics (e.g., gender and age) most affected the mode choice for a shortdistance trip. In addition to these factors, the trip purpose, weather condition, PRT fare, travel time, and accompaniment were selected as determinants for the mode choice model in the study
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