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An examination of the effect of external factors on zero-emission vehicle adoption in the United States Travel Behaviour and Society (IF 5.1) Pub Date : 2024-09-13 Yong-Jin Alex Lee, Isabelle Nilsson
This study aims to extend and investigate how external factors (socioeconomic and demographic characteristics, EV-related policy mechanisms, transportation, and climate conditions) influence the actual adoption of battery electric vehicles (BEVs). Using panel data from 49 U.S. states from 2011 to 2020, we estimate a dynamic spatial Durbin model under the space fixed effect to examine the effects of
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Potentials of digital twin system for analyzing travel behavior decisions Travel Behaviour and Society (IF 5.1) Pub Date : 2024-09-13 Mahdi Aghaabbasi, Soheil Sabri
This review explores the potential of digital twin systems to provide a more holistic representation of travel behavior and support transportation planning and policymaking. The paper introduces the concept of digital twins, their key characteristics, and their applications in various domains, including transportation. It discusses the traditional methods used in travel behavior analysis and their
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Emotions as antecedents of sustainable travel behaviour Travel Behaviour and Society (IF 5.1) Pub Date : 2024-09-12 Christian Bretter, Kate Pangbourne
Promoting the use of sustainable transport alternatives is critical for reducing carbon emissions. In this paper, we propose a cognitive mechanism that explains the extent to which individuals use different sustainable travel modes (e.g., the bus, train, bicycle, and car-sharing). Specifically, we hypothesise negative emotions related to cars as an antecedent of sustainable travel mode use where emotions
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Activity spaces and leisure travel emissions: A case study in Reykjavík, Iceland Travel Behaviour and Society (IF 5.1) Pub Date : 2024-09-06 Johanna Raudsepp, Kayla M. Thorbjörnsson, Kamyar Hasanzadeh, Michał Czepkiewicz, Áróra Árnadóttir, Jukka Heinonen
Concerned by the increasing environmental impact of urban areas and the mobility sector, the study examines mobility in Reykjavík, Iceland. Reykjavík residents have been found to have high emissions in both local and leisure travel. The study aims to explore the connections between urban mobility and leisure travel behaviour using a novel method – activity spaces. The relationship between activity
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Influence of childhood experiences on walking behavior during adulthood: Long-term panel data analysis Travel Behaviour and Society (IF 5.1) Pub Date : 2024-09-05 Alyas A. Widita
While a substantial body of literature exists on the factors associated with walking behavior, little is known about the long-term effects of childhood experiences. This study utilizes micro-longitudinal data from the Indonesian Family Life Survey (IFLS) to track the lives of 1,343 Indonesians from childhood to adulthood. Findings from a series of regression analyses provide suggestive evidence of
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Has the COVID-19 pandemic affected travellers’ willingness to wait with real-time crowding information? Travel Behaviour and Society (IF 5.1) Pub Date : 2024-09-04 Arkadiusz Drabicki, Oded Cats, Rafał Kucharski
Travel preferences in public transport (PT) have been substantially affected by the COVID-19 crisis, with rising emphasis on on-board safety and comfort aspects. Hence, real-time crowding information (RTCI) might have become even more instrumental in supporting travel decisions in congested urban PT systems. This study investigates the willingness to wait (WTW) to reduce (or avoid) overcrowding with
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Behavioral characteristics of bidirectional pedestrian-e-bike mixed flow at a signalized crosswalk: An experimental study Travel Behaviour and Society (IF 5.1) Pub Date : 2024-09-02 Libi Fu, Yu Zhang, Qiyi Chen, Yangjian He, Chenxin Shen, Yongqian Shi
Mixed-traffic crosswalks are a prevalent scene in urban traffic. Understanding the movement characteristics of bidirectional e-bike-pedestrian mixed flow is helpful to enhance traffic efficiency at an intersection. In this research, a controlled experiment on bidirectional e-bike-pedestrian mixed flow was conducted. There are three variables, namely the proportion of e-bike riders (i.e., 0.5 and 0
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Labor issues from the perspective of drivers on the Uber and Lyft apps and the impact on riders who use wheelchairs Travel Behaviour and Society (IF 5.1) Pub Date : 2024-08-28 Mahtot Gebresselassie
Wheelchair accessibility of transportation service hailed using Uber and Lyft is fraught with contention. In this research, I interview 12 drivers on the apps who work in Washington, DC to understand their experience and perception about issues surrounding service to wheelchair users. Some drivers experience transporting wheelchair users as markedly different from service to non-wheelchair users due
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Spatial behaviors of HFMD hospital visits across regions of various urbanicity levels in Nanchang, China Travel Behaviour and Society (IF 5.1) Pub Date : 2024-08-20 Zeliu Zheng, Wentao Song, Hui Li, Zhiqiang Deng, Bisong Hu, Yuxia Wang, Fahui Wang
Hand foot mouth disease (HFMD) is one of the widespread transmissible diseases that target preschool children, especially in urban regions in East Asia. Based on the mobile app data, a GIS automated regionalization method is used to define regions of various urbanicity levels. The variability of HFMD patients’ travel behaviors across these regions are examined by the complementary cumulative distribution
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Habits and the subexploration of better transportation options: A dual-system approach Travel Behaviour and Society (IF 5.1) Pub Date : 2024-08-20 Bastian Henriquez-Jara, C. Angelo Guevara, Marcela Munizaga, Omar D. Perez
In psychology, choices are influenced by either goal-directed or habitual systems, which are represented by model-based (MB) and model-free (MF) reinforcement learning algorithms. This paper introduces these concepts into the transportation literature and shows that individuals with habitual tendencies often fail to consider new, potentially superior, alternatives. Across two experiments, participants
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Mobility as a Service (MaaS) for university communities: Modeling preferences for integrated public transport bundles Travel Behaviour and Society (IF 5.1) Pub Date : 2024-08-17 Pierluigi Coppola, Fulvio Silvestri, Luca Pastorelli
In order to investigate the role that Mobility as a Service (MaaS) could play in university communities to reduce car dependency and moderate car-oriented travel behavior, this paper examines individuals’ stated interest in adopting MaaS bundles in academic environments, where its potential is still largely underexplored. The study involves a large-scale survey campaign carried out within a university
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Food purchasing and eating patterns: Assessing the role of people’s mobility, social networks, and attitudes on healthy diets Travel Behaviour and Society (IF 5.1) Pub Date : 2024-08-17 Rubén Miranda, Juan Antonio Carrasco, Sebastian Astroza
A poor diet has crucial impacts on individuals and society as a whole. In addition to individual preferences, there is evidence that people’s diet is related to their social, economic, and geographical environment, including their mobility context. However, few studies have an empirical, integrated perspective of these previous dimensions. This paper presents an empirical effort to understand people’s
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Optimizing Customized Bus Lines Considering Users' Transfer Willingness under Cooperative and Competitive Relationship between Metro and Online Car-hailing Travel Behaviour and Society (IF 5.1) Pub Date : 2024-08-13 Beibei Wang, Xinyi Qi
In the context of ‘carbon peak’ and ‘carbon neutrality’, coordinating individual travel demand through multi-modal transportation and guiding travelers towards new shared public transportation (PT) modes is increasingly important. In this paper, we analyze the competitive and cooperative relationship between online car-hailing (OCH) services and metro systems in Nanning, China, and conduct aquestionnaire
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Acceptance of hyperloop: Developing a model for hyperloop acceptance based on an empirical study in the Netherlands Travel Behaviour and Society (IF 5.1) Pub Date : 2024-08-12 Patrick Planing, Jorina Hilser, Anesa Aljovic
Increasing urbanization is causing many challenges for mobility today, such as traffic jams and high carbon dioxide emissions. Hyperloop is a radical mobility innovation that could offer a potential solution for these issues. Since hyperloop is currently under development, overcoming technical and economic challenges and increasing its acceptance in society will decide the success of this innovative
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Beyond binary relationship: Multivariant analysis between ride-hailing and public transit based on multi-sourcing data Travel Behaviour and Society (IF 5.1) Pub Date : 2024-08-10 Liangbin Cui, Yajuan Deng, Yu Bai, Qinxin Peng
The impact of ride-hailing (RH) as an emerging mode of travel service on public transit (PT) systems has been confirmed. However, the current research only views the relationship between PT and RH as competition or complementation based on macro statistics and travel time differences. In fact, the relationship is beyond binary, and it is partial to take the travel time difference as the only classification
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Optimizing urban car-sharing systems based on geospatial big data and machine learning: A spatio-temporal rebalancing perspective Travel Behaviour and Society (IF 5.1) Pub Date : 2024-08-09 He Li, Qiaoling Luo, Rui Li
Car-sharing mobility is an emerging sustainable transportation mode, but it poses great challenges to operators and urban traffic management due to the imbalance between supply and demand across time and space. To address the problem, this research proposes a spatio-temporal rebalancing optimization framework for the urban car-sharing system (CSS) based on geospatial big data and machine learning.
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Perceived discrimination, transit use, and walking behavior during the COVID-19 pandemic: Evidence from the Understanding America Study Travel Behaviour and Society (IF 5.1) Pub Date : 2024-08-07 Abigail L. Cochran, Jueyu Wang, Evan Iacobucci
A rise in reporting and media coverage of negative social interactions and experiences of racism in transit and other public environments suggests that perceived discrimination may have affected the travel behavior and health of people of color during the COVID-19 pandemic. In this study, to examine relationships between race, perceived discrimination, transit use, and walking behavior, we draw on
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Analysis of passenger perception heterogeneity and differentiated service strategy for air-rail intermodal travel Travel Behaviour and Society (IF 5.1) Pub Date : 2024-08-06 Ziyi Zhou, Long Cheng, Min Yang, Lichao Wang, WeiJie Chen, Jian Gong, Jie Zou
Air-rail intermodal services (ARISs) represent a highly promising multimodal solution within the transportation sector. Nonetheless, various uncertainties and challenges persist across multiple dimensions of air-rail interline travel, with discrepancies in passenger perceptions being a notable aspect. In an effort to pinpoint the pivotal factors contributing to these disparities among distinct passenger
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The impact of the social-built environment on the inequity of bike-sharing use: A case study of Divvy system in Chicago Travel Behaviour and Society (IF 5.1) Pub Date : 2024-07-28 Bo Wang, Yuanyuan Guo, Fang Chen, Fengliang Tang
Bikeshare is increasingly recognized as a healthy travel behaviour worldwide. However, issues of inequity in bike-sharing usage exist and hinder the social benefits of bike-sharing system. This paper aims to unveil the spatiotemporal evolution of inequalities in bike-sharing usage and their social-built environment correlates, using Chicago’s Divvy system as a case study. Specifically, Gini coefficients
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An evaluation of on-demand transit user and interested-non-user characteristics and the factors that attract the transit-curious to using on-demand transit Travel Behaviour and Society (IF 5.1) Pub Date : 2024-07-27 Juwon Drake, Kari Watkins
With the advent of new mobility modes and technologies, we have seen meaningful changes in travel behavior. One such new mobility mode is on-demand transit. The Metropolitan Atlanta Rapid Transit Authority deployed its own on-demand transit system, dubbed MARTA Reach, in March of 2022. This paper provides an evaluation of the characteristics of two groups of people related to MARTA Reach: those who
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Evolution of green travel behaviour on dynamic social networks Travel Behaviour and Society (IF 5.1) Pub Date : 2024-07-23 Jingyu Li, Zhongxiang Feng, Weihua Zhang, Dianchen Zhu, Zhipeng Huang
Encouraging residents’ green travel behaviour can reduce carbon emissions. However, existing research focuses more on the individual level than on green travel in the context of group interactions. This study aims to connect individual- and group-level insights by integrating the theory of planned behaviour (TPB) and the norm activation model (NAM). Based on empirical data from a questionnaire survey
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Unlocking the role of shared dockless e-scooters bridging last-mile gaps: A quasi-experimental study of metro rail transit in Los Angeles Travel Behaviour and Society (IF 5.1) Pub Date : 2024-07-19 Wookjae Yang, Reid Ewing
One major challenge of a public transit system is first- and last-mile (FLM) connectivity. With the advent of smart technology and on-demand transportation services, shared micromobility is believed to provide a low-cost solution for bridging the first- and last-mile gap. However, several studies have arrived at mixed conclusions about the FLM achieved by shared mircomobility. This study explores the
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Shared e-scooters: A last-minute mode? Travel Behaviour and Society (IF 5.1) Pub Date : 2024-07-19 Boel Berg Wincent, Erik Jenelius, Wilco Burghout
In this paper we assess whether shared e-scooters are being used in hurried situations to avoid arriving late, making trips we define as last-minute trips. We identify trip characteristics for last-minute trips using data from shared e-scooters in Stockholm. Trip arrival time patterns, distances, durations, and speeds are analyzed in relation to desired arrival times. We observe a peak in the number
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Mobility on demand in the United States – Current state of integration and policy considerations for improved interoperability Travel Behaviour and Society (IF 5.1) Pub Date : 2024-07-18 Vishal C. Kummetha, Sisinnio Concas, Lisa Staes, Jodi Godfrey
The concept of Mobility on Demand (MOD) aims to create a safe and convenient ecosystem for transportation and goods delivery. Despite offering various services, the integration and seamless data exchange among different modes of transportation remain challenging. To address this, research was conducted to examine the current state of integration in the MOD ecosystem, identify gaps in data exchange
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Autonomous shuttle acceptance in an American suburban context: A revealed preference study in Lake Nona, Florida Travel Behaviour and Society (IF 5.1) Pub Date : 2024-07-18 Yanghe Liu, Kaifa Lu, Zhong-Ren Peng, Wei Zhai
Many American cities are testing autonomous shuttles (AS), or self-driving minibuses, as a new mode of public transportation. Existing AS studies often rely on stated preference (SP) surveys that require participants to imagine AS scenarios, or they evaluate short-term pilot programs, thus lacking long-term user insights – particularly in car-dependent suburban contexts. To address these limitations
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Will BRT ridership return after the COVID-19 pandemic? An analysis for Colombia Travel Behaviour and Society (IF 5.1) Pub Date : 2024-07-15 Luis Márquez, Víctor Cantillo, Gema del Pilar García
The COVID-19 pandemic resulted in drastic changes in people’s living habits. The lockdown, social distancing measures, and the fear of contagion severely impacted the demand for public transportation services. Due to the decline in demand during the pandemic, the financial crisis of the Bus Rapid Transit (BRT) systems in Colombia, similar to other Latin American countries, worsened. This article aims
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Why do citizens not prefer to use e-scooters? Views of the public in the Netherlands Travel Behaviour and Society (IF 5.1) Pub Date : 2024-07-08 Taşkın Dirsehan
E-scooters, a burgeoning form of micromobility, are revolutionizing urban transportation systems globally, particularly in the post-pandemic world. The surge in e-scooter adoption introduces novel regulatory challenges for local authorities. Numerous recent studies cater to these policy needs by exploring e-scooter use. However, scant attention has been paid to non-users’ perspectives, which is crucial
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Machine learning-based causal inference for evaluating intervention in travel behaviour research: A difference-in-differences framework Travel Behaviour and Society (IF 5.1) Pub Date : 2024-07-08 Meng Zhou, Sixian Huang, Wei Tu, Donggen Wang
Causal inference with the difference-in-differences (DID) framework is popular in identifying causal effects with observational data and has started to be applied in recent travel behaviour studies. Most relevant transportation research adopts the conventional linear parametric DID model, which is known to be inflexible and restrictive. This study applies non-parametric DID estimators facilitated by
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Who uses night trains and why? A mixed-method study profiling night train users in Switzerland Travel Behaviour and Society (IF 5.1) Pub Date : 2024-07-05 Tiziano Gerosa, Francesca Cellina
Addressing air travel demand is a key open challenge in transitioning to a low-carbon society. In Switzerland, where most flights are from/to nearby European countries, their substitution with night train services is a promising alternative. However, still little research investigates whether the demand for night trains is well-established and the motivations behind it. We aim to bridge this gap through
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Examining cross-cultural patterns in customer citizenship behavior: A cross-cultural exploration between Turkish and British airline passengers Travel Behaviour and Society (IF 5.1) Pub Date : 2024-07-04 Mahmut Bakır, Özlem Atalık
Customer citizenship behavior (CCB) refers to actions that provide value to companies, such as offering feedback, being patient with disruptions, and assisting other customers. This is especially important in the airline industry, where services are provided collectively in a shared environment. Recognizing that the factors influencing CCB might differ based on national culture is crucial, particularly
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Even a journey can be a destination: Exploring the spatial patterns of motorcycle traffic in the Czech Republic based on official and crowdsourced data Travel Behaviour and Society (IF 5.1) Pub Date : 2024-07-03 Stanislav Kraft, Miroslav Marada, Jakub Petříček, Vojtěch Blažek, Anna Krovová
Not only in geography is motorcycle transport still a very under-researched phenomenon. Although there has been a recent growth in academic interest in motorcycle transport, there are still some key questions that remain unanswered. Empirical studies analysing motorcycle transport are surprisingly also based mainly on observations in the Global South, with very little research in the economically developed
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Loyalty toward shared e-scooter: Exploring the role of service quality, satisfaction, and environmental consciousness Travel Behaviour and Society (IF 5.1) Pub Date : 2024-07-01 Sajad Askari, Mohammadjavad Javadinasr, Farideddin Peiravian, Nazmul Arefin Khan, Joshua Auld, Abolfazl (Kouros) Mohammadian
Shared electric scooter services (SESS) have gained popularity in many cities as an emerging mobility mode. However, SESS is attributed to low utilization rates in some cities. In this context, the significance of users’ satisfaction with the provided services, along with their loyalty, becomes particularly pronounced. Therefore, it is essential to evaluate the service quality (SQ) from the users’
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The impact of shared mobility on metro ridership: The non-linear effects of bike-sharing and ride-hailing services Travel Behaviour and Society (IF 5.1) Pub Date : 2024-07-01 Fan Gao, Sylvia Y. He, Chunyang Han, Jian Liang
Understanding the relationship between the emerging shared mobility and the metro is essential for their successful integration. Although several studies have examined specific shared mobility modes individually, the differences between these modes in terms of integration with the metro system have largely been neglected. We address this research gap by investigating the impact of bike-sharing and
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Rainfall impacts on urban route choices by private vehicle users: insights from São Paulo, Brazil Travel Behaviour and Society (IF 5.1) Pub Date : 2024-06-29 Enzo Gonçalves Yulita, Cassiano Augusto Isler
Urban drivers frequently experience challenges posed by adverse weather conditions like heavy rain. Despite the influence of these conditions on individual travel behaviour, there is limited understanding of how various aspects of rainfall affect the route choices in urban trips. In this context, this paper aims to evaluate the impacts of different rainfall conditions on the route choice behaviour
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An analysis of built environment characteristics in daily activity spaces and associations with bike share use Travel Behaviour and Society (IF 5.1) Pub Date : 2024-06-27 Benjamin G. Ethier, Jeffrey S. Wilson, Sarah M. Camhi, Ling Shi, Philip J. Troped
A limited number of studies using static spatial approaches have found that built environment variables are associated with bike share use and fewer have used spatially dynamic activity spaces to examine these relationships. The aim of this pilot study was to examine associations between built environment characteristics of daily activity spaces and bike share using three different geographic information
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Shared autonomous vehicle operational decisions with vehicle movement and user travel behaviour Travel Behaviour and Society (IF 5.1) Pub Date : 2024-06-26 Kai Huang, Chengqi Liu, Chenyang Zhang, Zhiyuan Liu, Hanfei Hu
Shared Autonomous Vehicle (SAV) has many impacts on the transport development, such as saving parking space. However, SAV meets a huge challenge in terms of vehicle supply and user demand imbalance. The traditional mathematical optimization method cannot be well used due to the computational burden. Hence, this paper proposes a Reinforcement Learning (RL) based SAV relocation approach. First, two types
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Determinants of the travel satisfaction of e-scooter users Travel Behaviour and Society (IF 5.1) Pub Date : 2024-06-22 Andreas Nikiforiadis, Christina Lioupi, Grigorios Fountas, Nikiforos Stamatiadis, Socrates Basbas
This paper seeks to fill in the current evidence gap on the relationship between travel satisfaction and e-scooter use. To do so, online survey data from e-scooter users of a University community in the city of Thessaloniki, Greece were collected and statistically analyzed. In line with previous research on travel satisfaction, the results of a series of exploratory and confirmatory factor analyses
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Can self-reliant societies be potential adopters of electric bicycles? Examining the role of sociopsychological influences among the university employees in India Travel Behaviour and Society (IF 5.1) Pub Date : 2024-06-18 Mohammad Zabiulla, Prasanta K. Sahu, Bandhan Bandhu Majumdar, Rodrigo Rico Bini
Electric bicycles (e-bikes) are gaining popularity globally as green and active modes of transport. Research on e-bike adoption to date has predominantly investigated various extrinsic motivations to use an e-bike, and little is known about the psychological influences. Examining the influence of psychological determinants is crucial to comprehend the unobserved individual and social factors affecting
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Subsidizing residents or companies? An equilibrium-based analysis of subsidy strategies for EV charging facilities Travel Behaviour and Society (IF 5.1) Pub Date : 2024-06-15 Fu-Lin Wang, Hai-Jun Huang
This study examines the charging location choice behavior of residents in relation to employer-provided charging facilities and investigates the impact of different government subsidy strategies for charging facility construction on urban spatial structure and traffic-related air pollution. Using a monocentric two-zone city model, we analyze the residential distribution and travel mode choice of urban
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Analysis of user behavior in urban parking under different level of information scenarios provided by smart devices or connected cars Travel Behaviour and Society (IF 5.1) Pub Date : 2024-06-12 Andrés Rodríguez, Borja Alonso, Jose Luis Moura, Luigi dell’Olio
Due to the issues of land redevelopment and changes of use within urban areas, many cities must adopt measures to reorganise and optimise parking space. This paper proposes a methodology to study one of them by implementing parking information systems (PIS). This solution offers users a competitive advantage by allowing them to know about the free parking spaces at the moment of decision-making. To
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A mobility pilot development process experimented through a MaaS pilot in Budapest Travel Behaviour and Society (IF 5.1) Pub Date : 2024-06-12 Attila Aba, Domokos Esztergár-Kiss
Recently, several new concepts and innovative technologies have emerged to overcome the problems of urbanization, which can be hardly solved with using exclusively private vehicles or conventional public transport services. One of the new solutions is the Mobility-as-a-Service (MaaS) concept, a user-centric mobility distribution scheme, in which the user needs are satisfied via a single platform, and
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Upgrading in ride-sourcing markets with multi-class services Travel Behaviour and Society (IF 5.1) Pub Date : 2024-06-12 Xiaoran Qin, Hai Yang, Wei Liu
Most ride-sourcing platforms, exemplified by industry leaders like Uber, Lyft, and Didi, provide a range of ride services tailored to the diverse preferences of their passengers. Passengers, driven by their distinct priorities, may opt for high-class (HC) ride services, such as Luxury rides, if they value service quality, while those more cost-conscious may gravitate toward low-class (LC) ride services
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Social demographics imputation based on similarity in multi-dimensional activity-travel pattern: A two-step approach Travel Behaviour and Society (IF 5.1) Pub Date : 2024-06-10 Bin Zhang, Soora Rasouli, Tao Feng
In response to the absence of demographics in increasingly emerging big data sets, we propose a novel method for inferring the missing demographic information based on similarity in people’s daily multi-dimensional activity-travel patterns as well as the characteristics of the area they move about. Instead of using isolated activity-travel attributes to infer social demographic features, our proposed
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Public transit commuting among U.S. immigrants: The role of English skills Travel Behaviour and Society (IF 5.1) Pub Date : 2024-06-10 Yuxin Zhang, Dafeng Xu
Using 2021 5-year American Community Survey, we empirically examine the effect of English proficiency on public transit ridership among immigrant commuters. To solve the endogeneity problem of English proficiency, we employ an instrumental variable strategy designed based on the interaction term between the age at arrival and non-Anglophone linguistic origin. English skills have a mixed role in explaining
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Impact of charging infrastructure on electric vehicle adoption: A synthetic population approach Travel Behaviour and Society (IF 5.1) Pub Date : 2024-06-04 Lavan T. Burra, Mohammad B. Al-Khasawneh, Cinzia Cirillo
There is limited availability of travel survey data on households with electric vehicles (EVs) and a lack of evidence on factors influencing EV ownership levels at a finer geographic level, which are crucial for optimizing public charging infrastructure investments. To address this gap, we propose an integrated approach utilizing a discrete choice model and a Bayesian network-generated synthetic population
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To what extent does working from home lead to savings in commuting time? A panel analysis using the Australian HILDA Survey Travel Behaviour and Society (IF 5.1) Pub Date : 2024-06-03 Heiko Rüger, Inga Laß, Nico Stawarz, Alexandra Mergener
With growing concern about the climate impact of travel, a central question is the extent to which working from home (WFH) can reduce commuting. Recently, the question has received even more attention as WFH has increased sharply with the onset of the COVID-19 pandemic. However, the state of research is marked by mixed results and lacking longitudinal evidence. We investigate the link between WFH and
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Understanding and comparing the public transit and ride-hailing ridership change in Chicago during COVID-19 via statistical and survey approaches Travel Behaviour and Society (IF 5.1) Pub Date : 2024-06-02 Patrick Meredith-Karam, Hui Kong, Anson Stewart, Jinhua Zhao
Changes in transportation ridership during COVID-19 indicate several important factors, including the need to serve changing spatial and temporal patterns of travel demand, and the equity implications of pandemic impacts across lines of race, age, and income. Various papers have sought to understand changes in transportation ridership during the pandemic, but have been focused solely on a single mode
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Trust me if you can: Practical challenges affecting the integration of carpooling in Mobility-as-a-Service platforms Travel Behaviour and Society (IF 5.1) Pub Date : 2024-05-28 Francesca Cellina, Marco Derboni, Vincenzo Giuffrida, Uroš Tomic, Raphael Hoerler
App-based Mobility-as-a-Service (MaaS) platforms combining public transport, car- and micro-mobility-shared services with real-time dynamic carpooling are emerging as viable alternatives to solo car use for sub-urban contexts. Insights from real-life implementation are however still limited. Which practical conditions may hinder the effectiveness of MaaS platforms leveraging carpooling? We tackle this
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The role of trust and distrust in technology usage: An in-depth investigation of traffic information apps usage for mandatory and non-mandatory trips Travel Behaviour and Society (IF 5.1) Pub Date : 2024-05-28 Azamsadat Hosseini Shoabjareh, Milad Ghasri, Tom Roberts, Andrew Lapworth, Ned Dobos, Christine Boshuijzen-van Burken
Following the rapid pace of technological advancement and the continuous introduction of new technologies, the study of user acceptance has gained considerable attention. While previous studies have highlighted the role of trust in technology acceptance and adoption, the significance of distrust has received little attention and is often treated as the other end of the trust scale. This study aims
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Impact of commuting time on self-reported work productivity: A quasi-longitudinal examination Travel Behaviour and Society (IF 5.1) Pub Date : 2024-05-25 Liang Ma, Yage Liu, Xuemeng Sun, Runing Ye
Commuting is a fundamental aspect of daily life that profoundly influences work productivity. Despite extensive research in this area, findings are often inconclusive, primarily due to methodological limitations such as cross-sectional designs. Addressing these gaps, our study adopts a quasi-longitudinal approach to examine the causal effects of commuting time on self-reported work productivity during
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Unraveling the travel patterns of ride-hailing users: A latent class cluster analysis across income groups in Yogyakarta, Indonesia Travel Behaviour and Society (IF 5.1) Pub Date : 2024-05-24 Muchlis Muchlisin, Jaime Soza-Parra, Yusak O. Susilo, Dick Ettema
This study provides valuable insights into ride-hailing trip patterns among various income groups, including lower-income groups and those living below the poverty line, groups often overlooked in previous research. Using latent class cluster analysis (LCCA) based on a survey in Yogyakarta Province, Indonesia, we examine how variations in trip pattern characteristics are influenced by socio-demographics
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Does teleworking encourage longer commutes? Pre-pandemic evidence from the English National Travel Survey Travel Behaviour and Society (IF 5.1) Pub Date : 2024-05-23 Bernardo Caldarola, Steve Sorrell
Teleworking could make an important contribution to reducing car travel, air pollution and carbon emissions. However, a growing body of evidence suggests that teleworkers tend to live further from their place of work than non-teleworkers, and that teleworking encourages more non-work travel. These responses make it difficult to estimate the overall impact of teleworking on personal travel.
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Socioeconomic inequalities in greenhouse gas emissions from household travel in Aotearoa/New Zealand Travel Behaviour and Society (IF 5.1) Pub Date : 2024-05-20 Caroline Shaw, Ryan Gage, Melissa McLeod, Rhys Jones, Anja Mizdrak, Alistair Woodward
A just transition to a decarbonised transport system requires understanding current inequity in transport-related greenhouse gas emissions (GHGe). We used the population-based nationally representative New Zealand Household Travel Survey (2015–2018 data) to examine inequalities in GHGe from household travel by NZDep (an area measure of socioeconomic position [SEP]). There was a broadly linear association
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Urban mobility resilience under heat extremes: Evidence from bike-sharing travel in New York Travel Behaviour and Society (IF 5.1) Pub Date : 2024-05-17 Chaosu Li, Guiyu Chen, Sicheng Wang
Enhancing the resilience of urban non-motorized mobility amid rising temperatures is crucial, yet there is a lack of empirical evidence in this field. This study examines the urban mobility resilience under extreme heat events, focusing on New York City’s bike-sharing system. Utilizing the clustering method and spatial probit regression, we explore the spatial–temporal variations in the resilience
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Are immigrants migrating away from transit? Immigrant transit use trends in California Travel Behaviour and Society (IF 5.1) Pub Date : 2024-05-14 Andrew Schouten, Evelyn Blumenberg, Brian D. Taylor
While patronage on most public transit systems around the world remains modestly to significantly depressed post-pandemic, transit ridership had mostly been declining across the US since 2014. Advocates, practitioners, and scholars have offered a range of explanations for pre-pandemic patronage decline. This analysis examines the demand-side of this phenomenon by focusing on high-propensity transit
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Navigating post-pandemic urban mobility: Unveiling intentions for shared micro-mobility usage across three U.S. cities Travel Behaviour and Society (IF 5.1) Pub Date : 2024-05-14 Ricardo Chahine, Lisa L. Losada-Rojas, Konstantina Gkritza
The COVID-19 pandemic has had a far-reaching impact on travel patterns, leading to a ubiquitous yet unequal decrease in mobility across transportation modes. Specifically, shared mobility services experienced a shift in demand due to increased concerns about COVID-19 transmission. As we move beyond the pandemic, gaining insights into the evolving travel demand landscape becomes crucial for adapting
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Exploring the diversity of users of digital mobility services by developing personas – A case study of the Barcelona metropolitan area Travel Behaviour and Society (IF 5.1) Pub Date : 2024-05-13 Bartosz Wybraniec, Elisabet Roca, M.I. Ortego, Boris Lazzarini
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Investigating emotion fluctuations in driving behaviors of online car-hailing drivers using naturalistic driving data Travel Behaviour and Society (IF 5.1) Pub Date : 2024-05-06 Yongfeng Ma, Yaqian Xing, Shuyan Chen, Ying Wu
Research has shown that a driver’s emotional state is closely related to the driver’s driving behavior. However, most studies have focused on the impact of static and discrete emotions on driver behavior, neglecting the emotion fluctuations that can occur in real-world contexts. To address this gap, we analyzed emotion change patterns of drivers engaged in aggressive driving versus normal driving.
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Exploring non-linear effects of environmental factors on the volume of pedestrians of different ages using street view images and computer vision technology Travel Behaviour and Society (IF 5.1) Pub Date : 2024-05-06 Dongwei Liu, Yi Lu, Linchuan Yang
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Competing or complimentary: Modeling transit ridership at route-level considering inter-route interdependencies Travel Behaviour and Society (IF 5.1) Pub Date : 2024-05-05 Sagar Patni, Sivaramakrishnan (Siva) Srinivasan