Impact of Automated Vehicles on Travel Mode Preference for Different Trip Purposes and Distances

Because of technology penetration in the transportation system, the automated vehicle (AV) is set to be a future mode of transport. Given the major implications of AVs, investigation of the potential impact of these vehicles on travel behavior is vital for a wide range of purposes, especially for policy making. In this study, we report the results of a stated preference survey distributed in the Netherlands in which respondents had to choose between conventional cars, public transportation, and AVs for different travel distances and trip purposes. Having collected information from 663 respondents we conducted an integrated study incorporating classic trip attributes (such as travel time and travel costs), attitudinal factors, and socio-economic variables to understand people’s choices. We studied a particular form of AVs, automated driving transport service (ADTS), which we defined as an automatically controlled door-to-door transport service provided by a vehicle with similar dimensions to a conventional car, albeit driverless. Results suggest that travelers’ mode preferences vary significantly for different travel distances and purposes. We found that conventional cars and public transportation are perceived as being the least attractive alternatives in relation to in-vehicle travel time on short- and long-distance commuting trips, respectively. Preference for ADTS lay between the car and public transportation, neither the best nor the worst alternative in all scenarios. Our findings suggest that ADTS adopters are likely to prefer this mode for long-distance leisure trips rather than short-distance commuting trips.

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Identifying and Quantifying Factors Determining Dynamic Vanpooling Use

Smart Cities ◽

10.3390/smartcities4040066 ◽

2021 ◽

Vol 4 (4) ◽

pp. 1243-1258

Author(s):

Konstantinos Tsiamasiotis ◽

Emmanouil Chaniotakis ◽

Moeid Qurashi ◽

Hai Jiang ◽

Constantinos Antoniou

Keyword(s):

Travel Time ◽

Public Transportation ◽

Travel Behavior ◽

Stated Preference ◽

Probit Model ◽

Multinomial Logit Model ◽

Sustainable Transportation ◽

Model Estimation ◽

Private Car ◽

Vehicle Travel Time

Nowadays, the growth of traffic congestion and emissions has led to the emergence of an innovative and sustainable transportation service, called dynamic vanpooling. The main aim of this study is to identify factors affecting the travel behavior of passengers due to the introduction of dynamic vanpooling in the transportation system. A web-based mode choice survey was designed and implemented for this scope. The stated-preference experiments offered respondents binary hypothetical scenarios with an ordered choice between dynamic vanpool and the conventional modes of transport, private car and public transportation. In-vehicle travel time, total travel cost and walking and waiting time or searching time for parking varies across the choice scenarios. An ordered probit model, a multinomial logit model and two binary logit models were specified. The model estimation results indicate that respondents who are aged between 26 and 35 years old, commute with PT or are members of bike-sharing services were significantly more likely to choose dynamic vanpool or PT than private car. Moreover, respondents who are worried about climate change and are willing to spend more for environmentally friendly products are significantly more likely to use dynamic vanpool in comparison with private cars. Finally, to indicate the model estimation results for dynamic vanpool, the value of in-vehicle travel time is found to be 12.2€ per hour (13.4€ for Munich subsample).

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THE USE OF STATED PREFERENCE TECHNIQUE TO MODEL MODAL CHOICES

KURVATEK ◽

10.33579/krvtk.v1i1.205 ◽

2016 ◽

Vol 1 (1) ◽

pp. 8

Author(s):

Resdian Syah

Keyword(s):

Travel Time ◽

Public Transportation ◽

Travel Behavior ◽

Stated Preference ◽

Transportation Systems ◽

Choice Modelling ◽

Working Together ◽

To Come ◽

Bus Services ◽

Public Transportation Systems

Public transportation especially bus services in Kuching City, Malaysia are relatively old and most of the buses are in state of dilapidation. This gives a very bad image on Kuching city and poor perception especially from the tourists and local consumers. To achieve a sustainable public transport industry, the old buses need to be regenerated and replaced with modern buses. The aim of the study is to explore the consumer’s travel behavior by employing modal choice modelling. Consequently, a study was conducted in Kuching City Area by using stated preference technique, analyzed and compiled by using SPSS.17 multiple linear regressions analysis. In this context, discrete choice analysis was used to examine the relationship between independent variables (travel time, waiting time, fares and comfort) and dependent variables (choice of respondent whether to consume old bus or choose new bus services). A total of 2000 respondents were interviewed. The findings showed that for the trips purpose, fares and comfortability were the primary factors that reflected the decision or behavior of the respondents asked. It was discovered that there is a significant relationship between the choice of the respondents and comfortability. For the trips purpose to school, recreation, shopping and others, most of the respondents preferred to opt for scenario 5 (travel time 20 min, frequency 20 min, fare RM 2.00, and the level of comfort is good with AC system) which gave the highest demand with the percentage of 75.4%, 55.1%, 70.3% and 69.1% respectively. On the other hand, scenario 3 (travel time 30 min, frequency 15 min, fare RM 2.00, and the level of comfort is good with AC system) was chosen for the purpose of working trips with the percentage of 50.5% respectively. Thus, it can be concluded that scenario 5 is the most appropriate condition to be implemented for the future bus services to serve the consumers in Kuching city subjected to a condition whereby the bus operators need to deliver a better, comfortable and reasonable fares bus services. It also appeared that longer travel time did not affect for the travelers choice at this stage. Hence, the study suggests that the local authority and the bus operators should establish a “quality partnership” and working together in order to come out with a much better and appropriate transport policy and schemes for the existing public transportation systems, especially bus services.

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The impacts of mediating the work environment on the mode choice in work trips

Open Engineering ◽

10.1515/eng-2021-0058 ◽

2021 ◽

Vol 11 (1) ◽

pp. 592-605

Author(s):

Melchior Bria ◽

Ludfi Djakfar ◽

Achmad Wicaksono

Keyword(s):

Work Environment ◽

Public Transportation ◽

Travel Behavior ◽

Structural Equation ◽

Mode Choice ◽

Equation Modeling ◽

Rapid Transit ◽

Long Time ◽

Socio Economic Variables ◽

The Relationship

Abstract The impacts of work characteristics on travel mode choice behavior has been studied for a long time, focusing on the work type, income, duration, and working time. However, there are no comprehensive studies on the influence of travel behavior. Therefore, this study examines the influence of work environment as a mediator of socio-economic variables, trip characteristics, transportation infrastructure and services, the environment and choice of transportation mode on work trips. The mode of transportation consists of three variables, including public transportation (bus rapid transit and mass rapid transit), private vehicles (cars and motorbikes), and online transportation (online taxis and motorbike taxis online). Multivariate analysis using the partial least squares-structural equation modeling method was used to explain the relationship between variables in the model. According to the results, the mediating impact of work environment is significant on transportation choices only for environmental variables. The mediating mode choice effect is negative for public transportation and complimentary for private vehicles and online transportation. Other variables directly affect mode choice, including the influence of work environment.

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Understanding Electric Bicycle Users’ Mode Choice Preference under Uncertainty: A Case Study of Shanghai

Sustainability ◽

10.3390/su14020925 ◽

2022 ◽

Vol 14 (2) ◽

pp. 925

Author(s):

Feifei Xin ◽

Yifan Chen ◽

Yitong Ye

Keyword(s):

Public Transportation ◽

Travel Behavior ◽

Mode Choice ◽

Long Distance ◽

Choice Preference ◽

Transportation Modes ◽

Electric Bicycle ◽

Private Car ◽

Public Transportation System

The electric bicycle is considered as an environmentally friendly mode, the market share of which is growing fast worldwide. Even in metropolitan areas which have a well-developed public transportation system, the usage of electric bicycles continues to grow. Compared with bicycles, the power transferred from the battery enables users to ride faster and have long-distance trips. However, research on electric bicycle travel behavior is inadequate. This paper proposes a cumulative prospect theory (CPT) framework to describe electric bicycle users’ mode choice behavior. Different from the long-standing use of utility theory, CPT considers travelers’ inconsistent risk attitudes. Six socioeconomic characteristics are chosen to discriminate conservative and adventurous electric bicycle users. Then, a CPT model is established which includes two parts: travel time and travel cost. We calculate the comprehensive cumulative prospect value (CPV) for four transportation modes (electric bicycle, bus, subway and private car) to predict electric bicycle users’ mode choice preference under different travel distance ranges. The model is further validated via survey data.

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Quantifying the Impact of the COVID-19 Pandemic on Passenger Vehicle Drivers’ Willingness to Pay for Travel Time Savings and Reliability

Transportation Research Record Journal of the Transportation Research Board ◽

10.1177/03611981211038885 ◽

2021 ◽

pp. 036119812110388

Author(s):

Tristan Cherry ◽

Mark Fowler ◽

Claire Goldhammer ◽

Jeong Yun Kweun ◽

Thomas Sherman ◽

...

Keyword(s):

Willingness To Pay ◽

Travel Time ◽

Travel Behavior ◽

Local Governments ◽

Consumer Preferences ◽

Stated Preference ◽

Travel Time Reliability ◽

Travel Time Savings ◽

Time Savings ◽

The Impact

The COVID-19 pandemic has fundamentally disrupted travel behavior and consumer preferences. To slow the spread of the virus, public health officials and state and local governments issued stay-at-home orders and, among other actions, closed nonessential businesses and educational facilities. The resulting recessionary effects have been particularly acute for U.S. toll roads, with an observed year-over-year decline in traffic and revenue of 50% to 90% in April and May 2020. These disruptions have also led to changes in the types of trip that travelers make and their frequency, their choice of travel mode, and their willingness to pay tolls for travel time savings and travel time reliability. This paper describes the results of travel behavior research conducted on behalf of the Virginia Department of Transportation before and during the COVID-19 pandemic in the National Capital Region of Washington, D.C., Maryland, and Northern Virginia. The research included a stated preference survey to estimate travelers’ willingness to pay for travel time savings and travel time reliability, to support forecasts of traffic and revenue for existing and proposed toll corridors. The survey collected data between December 2019 and June 2020. A comparison of the data collected before and during the pandemic shows widespread changes in travel behavior and a reduction in willingness to pay for travel time savings and travel time reliability across all traveler types, particularly for drivers making trips to or from work. These findings have significant implications for the return of travelers to toll corridors in the region and future forecasts of traffic and revenue.

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Travel mode choice preferences of urban commuters in Kuching City, Malaysia based on stated preference data

MATEC Web of Conferences ◽

10.1051/matecconf/201818102007 ◽

2018 ◽

Vol 181 ◽

pp. 02007

Author(s):

Resdiansyah

Keyword(s):

Travel Time ◽

Public Transport ◽

Public Transportation ◽

Stated Preference ◽

Mode Choice ◽

Travel Behaviour ◽

Transportation Systems ◽

Choice Modelling ◽

Public Transport System ◽

Bus Services

One aspect of Kuching City that has not progressed in tandem with the rest of the city is the public transport system, which is relatively old and almost non-existent. Transport and City planners seem to be at their wit’s end in coming up with satisfactory solutions to Kuching’s public transportation woes. In current situation, many proposals, but none have proven workable. As a result, representative buses remain a rare sight on Kuching city’s roads. To achieve a sustainable public transport industry, the old buses need to be regenerated and replaced with modern buses. The objectives of the intended study are to explore the consumer’s travel behaviour by employing mode choice modelling. Consequently, a study was conducted in Kuching City Area by using stated preference technique, analysed and compiled by using SPSS.17 multiple linear regressions analysis. In this context, discrete choice analysis was used to examine the relationship between independent variables (travel time, waiting time, fares and comfort) and dependent variables (choice of respondent whether to consume old bus or choose new bus services). A total of 2000 respondents were interviewed. The findings showed that for the trips purpose, fares and comfortability were the primary factors that reflected the decision or behaviour of the respondents asked. It was discovered that there is a significant relationship between the choice of the respondents and comfortability. It also appeared that longer travel time did not affect for the traveler’s choice at this stage. Hence, the study suggests that the local authority and the bus operators should establish a “quality partnership” and working together in order to come out with a much better and appropriate transport policy and schemes for the existing public transportation systems, especially bus services.

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By Using Model Shift and Improving The Walking Facilities: A Case Study In Kuala Lumpur, Malaysia

International Journal of Advances in Applied Sciences ◽

10.11591/ijaas.v3.i4.pp184-195 ◽

2014 ◽

Vol 3 (4) ◽

pp. 184

Author(s):

Ali A Mohammed

Keyword(s):

Travel Time ◽

Public Transportation ◽

Travel Behavior ◽

Cost Reduction ◽

Kuala Lumpur ◽

Private Car ◽

Spss Software ◽

Privately Owned ◽

Main Attraction

The recent increase in privately owned vehicles has caused numerous problems: traffic congestions, unnecessary fuel lost and global warming are only few of these problems. This study will try to understand people’s behavior and modal choice and try to sway them to means of public transportation. A survey of mode choice between cars users in a neighborhood in Kuala Lumpur was conducted. A total of 25 surveys were collected over the course of a month. Among data collected were demographic details such as age, gender, educational level and travel behavior. The data was processed by SPSS software to determine which factors encourages and discourages using private, public transportation or walking. The study highlighted four models travel time reduction, travel cost reduction, and increase the parking charges and improves the walking facility. The sensitivity analysis results show that the main attraction that might switch private car users is travel time and improving the walking facility. The consequences of these would be less traffic on the roads contributing to less pollution and greater safety.

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Multi-View Interactive Visual Exploration of Individual Association for Public Transportation Passengers

Applied Sciences ◽

10.3390/app10020628 ◽

2020 ◽

Vol 10 (2) ◽

pp. 628

Author(s):

Di Lv ◽

Yong Zhang ◽

Jiongbin Lin ◽

Peiyuan Wan ◽

Yongli Hu

Keyword(s):

Travel Time ◽

Public Transportation ◽

Travel Behavior ◽

Visual Exploration ◽

Passenger Travel ◽

Working Together ◽

Transport Safety ◽

Abnormal Behaviors ◽

The Relationship ◽

Pixel Matrix

More and more people in mega cities are choosing to travel by public transportation due to its convenience and punctuality. It is widely acknowledged that there may be some potential associations between passengers. Their travel behavior may be working together, shopping together, or even some abnormal behaviors, such as stealing or begging. Thus, analyzing association between passengers is very important for management departments. It is very helpful to make operational plans, provide better services to passengers and ensure public transport safety. In order to quickly explore the association between passengers, we propose a multi-view interactive exploration method that provides five interactive views: passenger 3D travel trajectory view, passenger travel time pixel matrix view, passenger origin-destination chord view, passenger travel vehicle bubble chart view and passenger 2D travel trajectory view. It can explore the associated passengers from multiple aspects such as travel trajectory, travel area, travel time, and vehicles used for travel. Using Beijing public transportation data, the experimental results verified that our method can effectively explore the association between passengers and deduce the relationship.

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Exploring Preferences for Transportation Modes in an Urban Air Mobility Environment: Munich Case Study

Transportation Research Record Journal of the Transportation Research Board ◽

10.1177/0361198119843858 ◽

2019 ◽

Vol 2673 (10) ◽

pp. 427-442 ◽

Cited By ~ 13

Author(s):

Mengying Fu ◽

Raoul Rothfeld ◽

Constantinos Antoniou

Keyword(s):

Travel Time ◽

Public Transportation ◽

Stated Preference ◽

Multinomial Logit Model ◽

Metropolitan Region ◽

Urban Air ◽

Older Individuals ◽

Main Mode ◽

Transportation Services ◽

Transportation Modes

Urban Air Mobility (UAM) is a recent mobility concept with the potential to reduce travel time and change travel patterns. When evaluating the introduction of UAM, understanding the potential users’ choice behavior regarding current available urban transportation modes and autonomous transportation services is essential to demand estimation. This preliminary research intends to gain insight into the travel behavior impacts of autonomous transportation modes, especially UAM, by deriving measures for transportation service attributes and identifying characteristics of potential users who might adopt autonomous transportation services, particularly the services of UAM. Thus, a stated preference questionnaire was designed and distributed in Munich metropolitan region. A main mode choice multinomial logit model and several sub-models, based on market segmentation, were estimated regarding four transportation alternatives: private car, public transportation, autonomous taxi, and autonomous flying taxi. The results indicate that travel time, travel cost, and safety may be critical determinants in autonomous transportation mode adoption. The potential consumers may be willing to pay more for using autonomous transportation modes, especially the service of UAM. Among different market segments, younger individuals, as well as older individuals with high household income, are more likely to adopt UAM. In addition, during the market entry stage, potential travelers may favor UAM particularly for performing non-commuting trips.

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