Article
Transportation
Huaxiong Jiang, Haoran Xu, Qingfang Liu, Liang Ma, Jinping Song
Summary: With increasing concerns for environmental sustainability and the need to reduce greenhouse gas emissions, electric vehicles have emerged as a promising solution. However, successful adoption and widespread use of electric vehicles depend not only on technological advancements but also on the availability and effectiveness of supporting facilities and conducive environments. This research employs structural equation models to examine the influential factors related to urban planning that impact individuals' willingness to adopt electric vehicles. Data were collected from a diverse sample of 4011 Beijing residents. The study underscores the pivotal role of urban conditions and travel patterns in driving people's preference for electric vehicles, with influential factors including access to green spaces, high-rise buildings, parking availability, loan accessibility, commute time, and housing ownership. Then, variations in willingness and influencing factors between urban and suburban residents are observed, with urban residents being more susceptible to the impact of motorized travel modes and suburban property ownership directly affecting electric vehicle usage. Additionally, certain variables exhibit mediating and moderating effects on electric vehicle preferences. The study highlights the multi-factorial nature of electric vehicle adoption from a planning view, distinguishing itself from prior research focused on isolated elements and simplistic associations. The outcomes provide policymakers and urban planners with effective strategies to facilitate widespread electric vehicle adoption and promote sustainable transportation practices.
TRAVEL BEHAVIOUR AND SOCIETY
(2024)
Article
Economics
Priyanka Das, Swati Maitra
Summary: An investigation was conducted on improving pedestrian infrastructure and facilities at tourist destinations in India. The study found that the pedestrian infrastructure and facilities in these destinations are generally deficient and immediate interventions are required. The study also emphasized the need for developing infrastructure and facilities according to tourists' requirements to promote tourism.
Article
Transportation
Cheng-Kai Hsu
Summary: This study investigates the effects of weather on road injury frequency under different climatic conditions, with a focus on non-temperate areas. The findings suggest that adverse weather conditions contribute to increased road injury frequency, and these effects are influenced by the prevailing seasonal conditions.
TRAVEL BEHAVIOUR AND SOCIETY
(2024)
Article
Transportation
Weiying Wang, Toshihiro Osaragi
Summary: In this paper, daily activity sequences from datasets collected in the Tokyo Metropolitan Area over thirty years were examined using a time-varying Markov Chain model. It was found that the model can generate individual-level activity sequences with high accuracy, comparable to neural network models. A new mechanism for activity planning was proposed, based on cost and utility.
TRAVEL BEHAVIOUR AND SOCIETY
(2024)
Article
Transportation
Wenyan Hu, Mengya Li, Mei-Po Kwan, Haifeng Luo, Bingkun Chen
Summary: This paper presents a novel taxi anomaly detection framework called TAPS, which is based on real-time vehicle trajectory prediction. By training and predicting the positions of taxis, it detects their anomalous trajectories. Experimental results demonstrate that TAPS achieves high accuracy and precision, making it a useful tool for taxi passengers and companies.
TRAVEL BEHAVIOUR AND SOCIETY
(2024)
Article
Ergonomics
Jinli Liu, Subasish Das, Md Nasim Khan
Summary: Understanding the relationship between social disparities and traffic crash frequency is crucial for transportation planning and policymaking. This study examines the impact of socioeconomic and infrastructure-related disparities on traffic crash rates at a macro-level. The findings suggest that the Multiscale Geographically Weighted Regression (MGWR) model is effective in uncovering spatial relationships between contributing factors and different types of crashes. Improving infrastructure in low-income areas can lead to significant benefits in reducing crashes.
ACCIDENT ANALYSIS AND PREVENTION
(2024)
Article
Economics
Isabel Cunha, Cecilia Silva, Benjamin Buettner, Tuuli Toivonen
Summary: This study investigates the equity impacts of cycling plans and infrastructure allocation in three European cities. The research finds that cycling planning often prioritises advantaged areas and central zones, neglecting disadvantaged socio-economic zones.
Article
Economics
Xinyue Gu, Pengyu Chen, Chao Fan
Summary: This study examines the impacts of extreme temperatures on human mobility in cities using statistical and geospatial analyses in the Greater Houston area. The results show that extreme heat reduces short trips while cold weather promotes more frequent short trips. Additionally, extreme temperatures affect the direction of people's movement and have a greater impact on areas with larger numbers of disadvantaged social groups.
JOURNAL OF TRANSPORT GEOGRAPHY
(2024)
Article
Economics
Sicheng Wang, Xiao Huang, Qing Shen
Summary: This study used ridesourcing data in Chicago to analyze the resilience and recovery of ridesourcing services during the COVID-19 pandemic. The results showed that factors such as residential land use, transportation accessibility, and sociodemographic factors were associated with the resilience and recovery of ridesourcing usage.
JOURNAL OF TRANSPORT GEOGRAPHY
(2024)
Article
Economics
Henrik Johansson Rehn, Lars E. Olsson, Margareta Friman
Summary: This paper presents the Framework of RoUtIne Transitions in daily travel (FRUIT), which analyzes the impact of life events on travel behavior changes and identifies the critical phases in this process. By integrating theories and concepts, the framework provides a theoretical basis for interventions aimed at improving sustainable travel. The applicability of FRUIT is illustrated through an empirical case, and the implications for future research and policy are discussed.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)
Article
Economics
Louise Meijering, Gerd Weitkamp
Summary: This article explores the everyday mobility opportunities and barriers that older adults experience on the urban-rural continuum of the Northern Netherlands, in the context of age-related impairments. Through activity diary data and in-depth interviews, the study finds that older adults' everyday movement extends beyond their living environment and showcases their creativity and agency in maintaining mobility.
JOURNAL OF TRANSPORT GEOGRAPHY
(2024)
Article
Psychology, Applied
Eunpyo Hong, JungKun Park
Summary: This study investigates the impact of technological readiness on the adoption of autonomous vehicles and highlights the importance of reasons for adoption and the moderating effect of social influence. The findings provide guidelines for developing marketing strategies based on individual customers' adoption level.
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR
(2024)
Article
Psychology, Applied
Deep Patel, Ruqaya Emad Alfaris, Mohammad Jalayer
Summary: This study assesses the effectiveness of specific disability warning signs for autism in multiple locations in New Jersey and finds that these signs do not significantly reduce non-compliance driving behavior and driving speed.
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR
(2024)
Article
Economics
Valeria Bernardo, Xavier Fageda, Jordi Teixido
Summary: The study finds that flight ticket taxes have a significant impact on low-cost airlines' supply and carbon emissions, resulting in a decrease of 12% in the number of flights and a 14% reduction in carbon emissions. Additionally, the burden of the taxes is higher for passengers paying low fares, affecting avoidable flights more significantly.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)
Article
Transportation
Baichuan Mo, Peyman Noursalehi, Haris N. Koutsopoulos, Jinhua Zhao
Summary: This paper proposes a probabilistic framework to estimate the risk of infection during commuting. Different travel modes are considered, and various sources of data are used to estimate the interactions between individuals and the infectious environment. The results show a low probability of infection during commuting, but individuals with longer travel distances, traveling in transit, and traveling during peak hours are more susceptible to infection.
TRAVEL BEHAVIOUR AND SOCIETY
(2024)
Article
Transportation
Hongyun Si, Xu Duan, Long Cheng, Jonas De Vos
Summary: This study constructs a novel framework to investigate the combined effects of the external environment and personal attributes on the adoption of shared autonomous vehicles (SAVs). The results show that both the external environment and personal attributes significantly affect consumers' intentions to adopt SAVs, with the external environment playing a greater role. The study also provides four combinations to achieve a high adoption intention of SAVs.
TRAVEL BEHAVIOUR AND SOCIETY
(2024)
Article
Transportation
Renjiang Xiong, Hang Zhao, Yong Huang
Summary: Improving the walking distance of elderly people is crucial for their physical and mental health. This study analyzed the spatial heterogeneity of the influence of the built environment on walking distance for older adults using data from a walking behavior survey in Guiyang City. The results showed that slopes, population density, density of leisure and entertainment venues, and distance to the nearest bus station all had significant effects on the walking distance of elderly individuals. These findings have important implications for mountainous city planning and the creation of an age-friendly environment.
TRAVEL BEHAVIOUR AND SOCIETY
(2024)
Article
Transportation
Renee De Reuver, Michal Biron
Summary: This study examines the cognitive evaluation of the morning commute and its impact on employee responses and outcomes. The findings suggest that mental effort and cognitive appraisal of the commute are associated with emotional exhaustion and task performance. This highlights the importance of cognitive commuting appraisal in shaping employees' experiences and performance.
TRAVEL BEHAVIOUR AND SOCIETY
(2024)
Article
Transportation
Zongcai Wei, Danli Peng, Feng Zhen, Yufei Liu, Qijing Tang
Summary: This study used structural equation modeling to explore the impact of COVID-19 on residents' online shopping behaviors in urban China. The study found that the gap in online shopping expenses between central urban and suburban areas narrowed during the pandemic. Residents' consumption preference had a positive effect on their online shopping behaviors, and individuals with higher income and education levels engaged in online shopping more frequently.
TRAVEL BEHAVIOUR AND SOCIETY
(2024)
Article
Economics
Lin Su, Xiang Yan, Xilei Zhao
Summary: Dockless e-scooter services can expand mobility options for underserved neighborhoods but may widen access gaps. Compared to docked bikeshare, shared e-scooters have higher overall spatial accessibility but longer idle time. Bikeshare system's equity program is more effective than e-scooter operators' in promoting usage in low-income neighborhoods.
