Abstract

The approach defines the process of conducting an empirical research of the travel behavior patterns of residents of Vilnius city. It defines survey methodology and important mobility parameters such as activity sequences and their probabilities of homogeneous urban population segments during the weekday. This empirical research is based on a travel diary survey that was planned and executed in cooperation with Vilnius Municipality during preparation of sustainable mobility plan. The following work describes the research object, the questionnaire design, sampling strategy and the analysis of results based on characteristics of respondents. An innovative activity sequence-focused travel behavior research approach designed to collect data for a tour-based travel demand model.

Highlights

  • Travel demand is a demand, arising from the spatial separation of home and basic human social activities such as work, education, shopping, and recreation

  • There is an evidence that the complexity of an activity sequence is highly influenced by land use patterns and increases over time due to the changes in a lifestyle [1]

  • Survey results has been used to estimate various mobility parameters, such as proportion of presenting the results report sample size, sample standard deviation and margin of error

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Summary

Introduction

Travel demand is a demand, arising from the spatial separation of home and basic human social activities such as work, education, shopping, and recreation. There is an evidence that the complexity of an activity sequence is highly influenced by land use patterns and increases over time due to the changes in a lifestyle [1]. There is a potential association between more complex travel behavior and dependence on car use. Ye et al [2] conjectures that complex activity sequences may lead to an increase in car usage. If one needed to pursue a complex sequence, the flexibility afforded by the private automobile is desirable. The ability to pursue multiple activities in a single journey is rather limited when constrained by the schedules, routes, and uncertainty associated with public transportation

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