☆ 4.7 Article

Associating stated preferences of emerging mobility options among Gilbert City residents using Bayesian Networks

CITIES (2022)

Related references

Note: Only part of the references are listed.

Article Business

What influences vulnerable road users' perceptions of autonomous vehicles? A comparative analysis of the 2017 and 2019 Pittsburgh surveys

Yingying Xing et al.

Summary: This paper analyzes the perceptions and interactive experiences of vulnerable road users towards autonomous vehicles (AVs) in Pittsburgh. The findings show that vulnerable road users' perceived safety of AVs has increased over the years, while their acceptance of AVs remained stable. However, autonomous driving accidents have negatively impacted their perceptions of AVs. The study recommends policymakers to prioritize the safety and benefits of vulnerable road users in AV testing and to provide opportunities for the public to interact with AVs.

TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE (2022)

Add to Collection

Article Transportation Science & Technology

Analysis of residents' stated preferences of shared micro-mobility devices using regression-text mining approach

Boniphace Kutela et al.

Summary: This study used survey data from Gilbert City, Arizona to explore the disparity between the stated preferences and actual use of micro-mobility devices, and identified variations in preferences among different demographic groups.

TRANSPORTATION PLANNING AND TECHNOLOGY (2022)

Add to Collection

Article Business

The characteristics of the demand for electric scooters in Italy: An exploratory study

Mariangela Scorrano et al.

Summary: The study found that factors such as purchase price, fuel economy, annual taxation and insurance costs, driving range, engine power, country of manufacture, and the ability to remove the battery are statistically significant in influencing the choice between electric and petrol scooters in Italy. Despite government support, consumer preferences in Italy suggest that non-monetary factors and inadequate supply still limit the potential market share growth of electric scooters.

RESEARCH IN TRANSPORTATION BUSINESS AND MANAGEMENT (2021)

Add to Collection

Article Transportation Science & Technology

Preferences for shared automated vehicles: A hybrid latent class modeling approach

Shelly Etzioni et al.

Summary: This study models the choice between different shared automated transportation services using a hybrid choice model, identifying two latent classes of users based on factors like time style orientation and seating designation. The research shows that factors such as time style and seating designation play a significant role in determining users' preference for shared rides and automated transit.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2021)

Add to Collection

Article Environmental Studies

Are Individuals' stated preferences for electric vehicles (EVs) consistent with real-world EV ownership patterns?

Wenjian Jia et al.

Summary: This study, based on data from Virginia, found that being male, having higher educational attainment, and the availability of DC fast charging stations have positive effects on EV adoption. The research also highlighted the significance of battery range for the utility of BEVs, as well as the importance of EV owners placing on battery range and DC fast charging stations.

TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT (2021)

Add to Collection

Article Engineering, Civil

Changes in Travel Behavior, Attitudes, and Preferences among E-Scooter Riders and Nonriders: First Look at Results from Pre and Post E-Scooter System Launch Surveys at Virginia Tech

Ralph Buehler et al.

Summary: This study suggests that on university campuses, electric scooter usage patterns are similar to those in cities, with the main reasons for riding being travel speed and enjoyment. Pre-launch intention to ride was higher than actual ridership, especially among older age groups, women, and university staff.

TRANSPORTATION RESEARCH RECORD (2021)

Add to Collection

Article Engineering, Civil

Safety Evaluation of High-Occupancy Toll Facilities Using Bayesian Networks

Angela E. Kitali et al.

Summary: The study found that single-vehicle accidents at HOT facilities are mainly associated with concrete barrier separation, wet road surface condition, nighttime condition, and weekend; while multiple-vehicle accidents are linked to pylon separation, weekdays, and daytime conditions. The results indicate that the highest probability of a single-vehicle accident occurs over the weekend, during nighttime, on a wet road surface with double solid white line separation in a mountainous terrain; while the highest probability of a multiple-vehicle accident is expected over the weekend, during the daytime, on a dry road surface in mountainous terrain with pylon separation.

JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS (2021)

Add to Collection

Article Energy & Fuels

The Influence of Introducing Autonomous Vehicles on Conventional Transport Modes and Travel Time

Jamil Hamadneh et al.

Summary: This study explores the potential impacts of AVs on travel behavior using data from 8500 travelers and conducting simulations with different scenarios. The results show that replacing conventional transport modes with AVs can reduce travel time for travelers, and the value of travel time for AVs affects their usage and modal share differently. The study also reveals that 1 AV can replace 7.85 conventional vehicles, with acceptable waiting time.

ENERGIES (2021)

Add to Collection

Article Management

Factors influencing autonomous vehicle adoption: an application of the technology acceptance model and innovation diffusion theory

Kum Fai Yuen et al.

Summary: This study integrated innovation diffusion theory and technology acceptance model to investigate the factors influencing users' behavioral intention to use autonomous vehicles. Results confirmed the positive impact of perceived usefulness and perceived ease of use on users' behavioral intention. Additionally, it revealed the influence of perceived characteristics of innovation on users' intention.

TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT (2021)

Add to Collection

Article Environmental Studies

Shared autonomous electric vehicle service performance: Assessing the impact of charging infrastructure

Reza Vosooghi et al.

TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT (2020)

Add to Collection

Article Green & Sustainable Science & Technology

Modeling Cross-National Differences in Automated Vehicle Acceptance

Shelly Etzioni et al.

SUSTAINABILITY (2020)

Add to Collection

Article Economics

Micromobility evolution and expansion: Understanding how docked and dockless bikesharing models complement and compete - A case study of San Francisco

Jessica Lazarus et al.

JOURNAL OF TRANSPORT GEOGRAPHY (2020)

Add to Collection

Article Green & Sustainable Science & Technology

How do people value electric vehicle charging service? A gamified survey approach

Lara Dorcec et al.

JOURNAL OF CLEANER PRODUCTION (2019)

Add to Collection

Article Environmental Studies

Describing the users: Understanding adoption of and interest in shared, electrified, and automated transportation in the San Francisco Bay Area

C. Anna Spurlock et al.

TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT (2019)

Add to Collection

Article Transportation Science & Technology

Autonomous vehicles can be shared, but a feeling of ownership is important: Examination of the influential factors for intention to use autonomous vehicles

Jihye Lee et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2019)

Add to Collection

Article Environmental Studies

Psychological and behavioral factors affecting electric vehicle adoption and satisfaction: A comparative study of early adopters in China and Korea

Wujin Chu et al.

TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT (2019)

Add to Collection

Article Construction & Building Technology

A review on bike-sharing: The factors affecting bike-sharing demand

Ezgi Eren et al.

Sustainable Cities and Society (2019)

Add to Collection

Article Engineering, Civil

Factors That Influence Older Canadians' Preferences for using Autonomous Vehicle Technology: A Structural Equation Analysis

Hany M. Hassan et al.

TRANSPORTATION RESEARCH RECORD (2019)

Add to Collection

Article Ergonomics

Prediction of drivers and pedestrians' behaviors at signalized mid-block Danish offset crosswalks using Bayesian networks

Boniphace Kutela et al.

JOURNAL OF SAFETY RESEARCH (2019)

Add to Collection

Article Economics

The influence of campus characteristics, temporal factors, and weather events on campuses-related daily bike-share trips

Boniphace Kutela et al.

JOURNAL OF TRANSPORT GEOGRAPHY (2019)

Add to Collection

Article Economics

Shared automated vehicles: A statistical analysis of consumer use likelihoods and concerns

Natalia Barbour et al.

TRANSPORT POLICY (2019)

Add to Collection

Article Engineering, Industrial

Harnessing expert knowledge: Defining a Bayesian network decision model with limited data-Model structure for the vibration qualification problem

Davinia B. Rizzo et al.

SYSTEMS ENGINEERING (2018)

Add to Collection

Article Transportation Science & Technology

Eliciting preferences for adoption of fully automated vehicles using best-worst analysis

Ramin Shabanpour et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2018)

Add to Collection

Article Transportation Science & Technology

Public priorities and consumer preferences for selected attributes of automated vehicles

Paulina Lustgarten et al.

JOURNAL OF MODERN TRANSPORTATION (2018)

Add to Collection

Review Urban Studies

The Impact of Autonomous Vehicles on Cities: A Review

Fabio Duarte et al.

JOURNAL OF URBAN TECHNOLOGY (2018)

Add to Collection

Article Green & Sustainable Science & Technology

Understanding the usage of dockless bike sharing in Singapore

Yu Shen et al.

INTERNATIONAL JOURNAL OF SUSTAINABLE TRANSPORTATION (2018)

Add to Collection

Article Engineering, Civil

Modeling Individual Preferences for Ownership and Sharing of Autonomous Vehicle Technologies

Patricia S. Lavieri et al.

TRANSPORTATION RESEARCH RECORD (2017)

Add to Collection

Article Engineering, Civil

Diagnosis and Prediction of Traffic Congestion on Urban Road Networks Using Bayesian Networks

Jiwon Kim et al.

TRANSPORTATION RESEARCH RECORD (2016)

Add to Collection

Article Business

A Bayesian Network Analysis of Ethical Behavior

Ahmet Ekici et al.

JOURNAL OF MACROMARKETING (2016)

Add to Collection

Article Engineering, Civil

Adaptive Learning in Bayesian Networks for Incident Duration Prediction

Sami Demiroluk et al.

TRANSPORTATION RESEARCH RECORD (2014)

Add to Collection

Proceedings Paper Transportation

Bicycle sharing systems demand

Ines Frade et al.

TRANSPORTATION: CAN WE DO MORE WITH LESS RESOURCES? - 16TH MEETING OF THE EURO WORKING GROUP ON TRANSPORTATION - PORTO 2013 (2014)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Learning Bayesian Networks with the bnlearn R Package

Marco Scutari

JOURNAL OF STATISTICAL SOFTWARE (2010)

Add to Collection

© Peeref 2019-2024. All rights reserved.