scholarly journals Exploring the Mode Change Behavior of Park-and-Ride Users

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Shahi Taphsir Islam ◽  
Zhiyuan Liu ◽  
Majid Sarvi ◽  
Ting Zhu
Keyword(s):  
Public Transport ◽  
Travel Behavior ◽  
Stated Preference ◽  
Multinomial Logistic Regression ◽  
Revealed Preference ◽  
Travel Mode ◽  
Mode Change ◽  
Factors Affecting ◽  
Park And Ride ◽  
Change Behavior

This paper investigates the mode change behavior of park-and-ride (P&R) users, which is of considerable significance to analyze the effectiveness of P&R site on the commuters’ travel mode change as well as the increase of public transport mode share. Data from an intercept interview survey conducted at different P&R facilities in Metropolitan Melbourne is used. A questionnaire containing revealed preference (RP) and stated preference (SP) questions is used to interview the individuals who park at the facility and catch public transport to go to city. This study firstly aims to know the factors affecting current travel behavior using RP data and secondly to investigate the importance of the factors on influencing the commuters’ decision of travel mode choice using the SP data. The empirical models using multinomial logistic regression reveal that travel time taken by transit vehicle and transfer time at P&R stations are the primary factors affecting individuals’ decision on choosing public transport whereas parking fare is the additional factor affecting commuters’ choice of driving. Based on the results of this study, the effectiveness of P&R scheme on commuters’ travel mode change is evaluated which would be helpful to shed lights on the future construction of P&R sites.

scholarly journals Gender Inequality in Safety and Security Perceptions in Railway Stations

2021 ◽  
Vol 13 (7) ◽  
pp. 4007
Author(s):  
Pierluigi Coppola ◽  
Fulvio Silvestri
Keyword(s):  
Gender Gap ◽  
Public Transport ◽  
Stated Preference ◽  
Revealed Preference ◽  
Behavioral Models ◽  
Mobility Patterns ◽  
Railway Stations ◽  
Commercial Activities ◽  
Transport Services ◽  
Disaggregate Data

Recent studies have shown that gender is the personal aspect that mostly affects mobility patterns and travel behaviors. It has been observed, for instance, that female perception of unsafety and insecurity when traveling using public transport forces them to make unwanted travel choices, such as avoiding traveling at certain times of day and to specific destinations. In order to improve the attractiveness of public transport services, this gender gap must not be overlooked. This paper aims at contributing to research in gendered mobility by investigating differences in safety and security perceptions in railway stations, and by identifying which policies could be effective in bridging any existing gap. The methodology includes the collection of disaggregate data through a mixed Revealed Preference/Stated Preference survey, and the estimation of fixed and random parameters behavioral models. Results from a medium-sized Italian railway station show that female travelers feel safer in the presence of other people; they prefer intermodal infrastructures close to the entrance of the station and commercial activities in the internal premises. Moreover, unlike male travelers, they do not appreciate the presence of hedges and greenery outside stations.

Reality-Based Approach to Stated Preference Surveys

2005 ◽  
Vol 1917 (1) ◽  
pp. 72-79
Author(s):  
Xuehao Chu
Keyword(s):  
Travel Behavior ◽  
Stated Preference ◽  
Revealed Preference ◽  
Tampa Bay ◽  
Design Procedures ◽  
Street Crossing ◽  
Bay Area ◽  
Stated Preference Data ◽  
Recent Trends ◽  
Pedestrian Street

This paper defines a reality-based approach to soliciting stated preference data. It is related to existing preference methods in regard to both a common conceptual framework and recent trends in the literature. The reality-based approach is compared with the standard approach in both general characteristics and design procedures. Its expectations-based validity is illustrated with an application to pedestrian street-crossing behavior in the Tampa Bay area of Florida. The approach combines the realism of revealed-preference surveys and the flexibility of standard stated preference surveys. It adds to the toolbox of travel behavior research.

scholarly journals Understanding Attitudes towards Proenvironmental Travel: An Empirical Study from Tangshan City in China

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Xiaoping Fang ◽  
Yajing Xu ◽  
Weiya Chen
Keyword(s):  
Travel Behavior ◽  
Mode Choice ◽  
Revealed Preference ◽  
Individual Characteristics ◽  
Survey Method ◽  
Model Parameters ◽  
Travel Mode ◽  
Preference Theory ◽  
Travel Mode Choice ◽  
Revealed Preference Theory

Understanding people’s attitudes towards proenvironmental travel will help to encourage people to adopt proenvironmental travel behavior. Revealed preference theory assumes that the consumption preference of consumers can be revealed by their consumption behavior. In order to investigate the influences on citizens’ travel decision and analyze the difficulties of promoting proenvironmental travel behavior in medium-sized cities in China, based on revealed preference theory, this paper uses the RP survey method and disaggregate model to analyze how individual characteristics, situational factors, and trip features influence the travel mode choice. The field investigation was conducted in Tangshan City to obtain the RP data. An MNL model was built to deal with the travel mode choice. SPSS software was used to calibrate the model parameters. The goodness-of-fit tests and the predicted outcome demonstrate the validation of the parameter setting. The results show that gender, occupation, trip purpose, and distance have an obvious influence on the travel mode choice. In particular, the male gender, high income, and business travel show a high correlation with carbon-intensive travel, while the female gender and a medium income scored higher in terms of proenvironmental travel modes, such as walking, cycling, and public transport.

Chasing Sustainability

2015 ◽  
Vol 2531 (1) ◽  
pp. 83-92 ◽  
Author(s):  
Myriam Langlois ◽  
Dea van Lierop ◽  
Rania A. Wasfi ◽  
Ahmed M. El-Geneidy
Keyword(s):  
Travel Behavior ◽  
Multinomial Logistic Regression ◽  
Motor Vehicles ◽  
Mode Switching ◽  
Transit Oriented Development ◽  
Travel Mode ◽  
Policy Makers ◽  
Shopping Trips ◽  
Negative Impacts ◽  
Automobile Use

One of the solutions suggested for mitigating the detrimental effect of motor vehicles on society is to implement transit-oriented development (TOD). This type of development is intended to reduce automobile use and urban sprawl as well as to provide communities with more socially, environmentally, and economically sustainable neighborhoods that offer a variety of mobility choices. This study attempted to find out whether new residents adopted more sustainable modes of transportation after their relocation to a TOD. The analysis determined which factors influenced travel mode switching decisions by specifying a multilevel multinomial logistic regression model. Data for the analysis were drawn from a travel behavior survey conducted on residents in seven North American TODs in 2013. The results showed that newcomers adopted more sustainable travel modes for amenities and leisure trips after they relocated to a TOD but that they were less likely to do so for work and shopping trips. To encourage more sustainable travel modes, the study findings suggested that transit incentives coupled with workplace parking charges needed to be considered. Factors that were found to increase the probability that new TOD residents would switch to a more sustainable mode of transportation included their awareness of the environmental impact of each travel mode, the ease with which it was possible to walk through the neighborhood and to various destinations, and the proximity to transit stops. However, larger household size, homeownership, and the addition of a new car had negative impacts. The findings provided new insights into TOD planning and its link to travel behavior; these insights could benefit planners, engineers, and policy makers who have adopted the TOD approach to development with the goal of mitigating car usage.

scholarly journals Understanding Better the Influential Factors of Commuters’ Multi-Day Travel Behavior: Evidence from Shanghai, China

2020 ◽  
Vol 12 (1) ◽  
pp. 376 ◽  
Author(s):  
Xiaoning Liu ◽  
Linjie Gao ◽  
Anning Ni ◽  
Nan Ye
Keyword(s):  
Public Transport ◽  
Travel Behavior ◽  
Traffic Congestion ◽  
Logit Model ◽  
Mode Choice ◽  
Transportation Systems ◽  
Sustainable Transportation ◽  
Travel Mode ◽  
Transportation Modes ◽  
Main Factors

Alleviating traffic congestion and developing sustainable transportation systems in a city can be assisted by promoting environmentally friendly transportation modes such as walking, cycling, and public transport. Strategies for promoting these desirable transportation modes can be identified based on a sound understanding of how commuters choose travel modes. In this study, multi-day commuting travel mode data was used to explore factors that influenced commute mode choice. A multinomial logit model and a binary logit model were proposed to study commuter travel behavior. The results showed the following. (1) Age, gender, and marriage indirectly influence the commute mode choice; (2) The cost of travel mode has little effect on commute mode choice; (3) The probability of commute mode change mainly influences the car mode choice; (4) The number of transfer times and the distance to the nearest public transport stations are main factors that restrict commuters from choosing public transport; (5) The number of bicycles in the family and commute distance are main factors that restrict commuters from choosing cycling for commuting. Based on these findings, several potential measures are demonstrated to policymakers and transportation planners to alleviate traffic congestion and develop sustainable transportation systems.

scholarly journals A Study on Factors Affecting the Utilization of Park-and Ride Facilities in Cheras

2019 ◽  
Vol 136 ◽  
pp. 04086
Author(s):  
Toon Chee Loong ◽  
Soe Zhao Hoe ◽  
Bahri Mahmud
Keyword(s):  
Public Transport ◽  
Safety Concern ◽  
High Technology ◽  
Travel Cost ◽  
Factors Affecting ◽  
Safety Issues ◽  
The Public ◽  
Park And Ride ◽  
The Right

Public transports are convenient nowadays due to high technology and proper planning and the usage of public transport has been increasing steadily over the years. Most of the public transport stations are now integrated with park-and-ride facilities which allow users of the public transport to park their vehicle. The purpose of this study is to identify the factors affecting the utilization of park-and-ride facilities. Several factors have been identified to determine the underutilized of facilities such as safety concern and travel cost issues. Questionnaires have been distributed to collect data in order to analyze the pattern of consumer’s behavior on the usage of park-and-ride facilities. This study reveals that majority of the population prefers using private cars instead of transiting between park-and-ride facilities and public transportations mainly due to purpose of their trip and safety issues. An improvement or refurbishment on park-and-ride facilities would be required to increase the utilization of the facilities and to give users assurance that utilizing the facilities was the right choice to be made.

Study of Travel Mode Choice Behavior Based on Nested Logit Model

2012 ◽  
Vol 253-255 ◽  
pp. 1345-1350
Author(s):  
Bin Shang ◽  
Xiao Ning Zhang
Keyword(s):  
Choice Behavior ◽  
Likelihood Function ◽  
Stated Preference ◽  
Mode Choice ◽  
Estimation Method ◽  
Simultaneous Estimation ◽  
Nested Logit ◽  
Travel Mode ◽  
Factors Affecting ◽  
Travel Mode Choice

Not only multinomial logit (ML) model is usually used in the analysis of travel mode split, but also nested logit (NL) with the method of phased estimation is used. NL model was developed in the paper which used the simultaneous estimation method to analyze travel mode choice behavior on the basis of the basic theory of disaggregate model and data of stated preference survey (SP). In the course of estimating the parameters, the multi-constrained optimization function in optimal tool of MATLAB was used to solve the maximum likelihood function. Using this method, the parameters of model could be calibrated at the same time. The hit ratios are also accurate. It is found that the NL model approach can consider more factors affecting the travel mode choice of residents, improve the prediction accuracy of model and practicality.

scholarly journals The Effects of Mobility as a Service and Autonomous Vehicles on People’s Willingness to Own a Car in the Future

2021 ◽  
Vol 13 (4) ◽  
pp. 1962
Author(s):  
Timo Liljamo ◽  
Heikki Liimatainen ◽  
Markus Pöllänen ◽  
Riku Viri
Keyword(s):  
Public Transport ◽  
Autonomous Vehicles ◽  
Travel Behaviour ◽  
Car Ownership ◽  
Key Factors ◽  
Sustainable Mobility ◽  
Factors Affecting ◽  
Mobility Service ◽  
The Future ◽  
Mobility Behaviour

Car ownership is one of the key factors affecting travel behaviour and thus also essential in terms of sustainable mobility. This study examines car ownership and how people’s willingness to own a car may change in the future, when considering the effects of public transport, Mobility as a Service (MaaS) and automated vehicles (AVs). Results of two citizen surveys conducted with representative samples (NAV-survey = 2036; NMaaS-survey = 1176) of Finns aged 18–64 are presented. The results show that 39% of respondents would not want or need to own a car if public transport connections were good enough, 58% if the described mobility service was available and 65% if all vehicles in traffic were automated. Hence, car ownership can decrease as a result of the implementation of AVs and MaaS, and higher public transport quality of service. Current mobility behaviour has a strong correlation to car ownership, as respondents who use public transport frequently feel less of a will or need to own a car than others. Generally, women and younger people feel less of a will or need to own a car, but factors such as educational level and residential location seem to have a relatively low effect.

scholarly journals Do millennials value travel time differently because of productive multitasking? A revealed-preference study of Northern California commuters

2021 ◽  
Author(s):  
Aliaksandr Malokin ◽  
Giovanni Circella ◽  
Patricia L. Mokhtarian
Keyword(s):  
Older Adults ◽  
Young Adults ◽  
Willingness To Pay ◽  
Travel Time ◽  
Choice Model ◽  
Mode Choice ◽  
Revealed Preference ◽  
Northern California ◽  
Factors Affecting ◽  
The Impact

AbstractMillennials, the demographic cohort born in the last two decades of the twentieth century, are reported to adopt information and communication technologies (ICTs) in their everyday lives, including travel, to a greater extent than older generations. As ICT-driven travel-based multitasking influences travelers’ experience and satisfaction in various ways, millennials are expected to be affected at a greater scale. Still, to our knowledge, no previous studies have specifically focused on the impact of travel multitasking on travel behavior and the value of travel time (VOTT) of young adults. To address this gap, we use an original dataset collected among Northern California commuters (N = 2216) to analyze the magnitude and significance of individual and household-level factors affecting commute mode choice. We estimate a revealed-preference mode choice model and investigate the differences between millennials and older adults in the sample. Additionally, we conduct a sensitivity analysis to explore how incorporation of explanatory factors such as attitudes and propensity to multitask while traveling in mode choice models affects coefficient estimates, VOTT, and willingness to pay to use a laptop on the commute. Compared to non-millennials, the mode choice of millennials is found to be less affected by socio-economic characteristics and more strongly influenced by the activities performed while traveling. Young adults are found to have lower VOTT than older adults for both in-vehicle (15.0% less) and out-of-vehicle travel time (15.7% less), and higher willingness to pay (in time or money) to use a laptop, even after controlling for demographic traits, personal attitudes, and the propensity to multitask. This study contributes to better understanding the commuting behavior of millennials, and the factors affecting it, a topic of interest to transportation researchers, planners, and practitioners.

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