<div><h3>Introduction</h3><div>This paper presents an investigation into health-conscious driving, a dimension that has received limited attention compared to traditional focuses on road safety and eco-efficiency. To address this gap, we introduce the concept of <em>healthy driving</em> as a complementary objective in Intelligent Transportation Systems (ITS), which emphasizes the physiological well-being of drivers and examines how driving behaviors and environmental conditions are associated with physiological load. In an observational on-road case study in Muscat (Oman) involving 33 drivers, our objective is to identify contexts in which physiological indicators cross clinically relevant thresholds or show marked individualized deviations. Such events are treated as associatioal signals of increased physiological strain rather then indicators of immediate or long-term health risks.</div></div><div><h3>Methods</h3><div>A dataset of real-world GPS trajectories and physiological parameters from a group of drivers employed by a governmental institution in Muscat, Oman, was collected over a 13-month period. Initially, 58 professional male drivers were enrolled. Based on pre-specified data-quality criteria, only 33 were retained for the study. Despite their uniform application, we acknowledge that these selection criteria may introduce bias toward participants with more complete or higher-quality recording. We used a multi-phase approach combining data exploration (including geospatial mapping), driver profiling (clustering), and predictive modeling (an attention-augmented LSTM) to estimate short-horizon abnormally high physiological states (heart rate, systolic Blood Pressure - BP) from driving behavioral (harsh acceleration and breaking) and road contextual (curvatures) information under group-aware cross-validation.</div></div><div><h3>Results</h3><div>Results show that short-horizon abnormal physiological states can be reliably inferred from driving behavior and road infrastructure features. Across cross-validated analyses, performance gains were observed under class-balanced optimization, with consistently strong discrimination for heart rate and systolic blood pressure. The findings suggest that routine exposure to specific road contexts is associated with measurable physiological load. These results are associational and hypothesis-generating. They underscore the need to redefine Intelligent Transportation Systems (ITS) to account for driver health outcomes. They furthermore advocate for the development of health-aware infrastructure, monitoring tools, and adaptive in-vehicle systems.</div></div><div><h3>Conclusions</h3><div>Our findings suggest the feasibility of health-aware analytics and outline the HEALD (Holistic Evaluation and Analytics for Livable Driving) framework, a modular roadmap for health-aware monitoring and early warning. HEALD includes a Driving Early Warning Score (DEWS) schema specifying risk banding and alert logic, with op
本文介绍了一项对健康意识驾驶的调查，与传统的道路安全和生态效率相比，这一维度受到了有限的关注。为了解决这一差距，我们引入了健康驾驶的概念，作为智能交通系统（ITS）的补充目标，它强调驾驶员的生理健康，并研究驾驶行为和环境条件如何与生理负荷相关。在马斯喀特（阿曼）的一项涉及33名驾驶员的观察性道路案例研究中，我们的目标是确定生理指标越过临床相关阈值或显示明显个体化偏差的情况。这些事件被视为生理压力增加的相关信号，而不是立即或长期健康风险的指标。方法收集了阿曼马斯喀特一家政府机构雇用的一组驾驶员在13个月期间的真实GPS轨迹和生理参数数据集。最初，有58名职业男性司机被招募。根据预先规定的数据质量标准，只有33名被保留用于研究。尽管他们的应用是统一的，但我们承认这些选择标准可能会对记录更完整或质量更高的参与者产生偏见。我们使用了一种结合数据探索（包括地理空间映射）、驾驶员分析（聚类）和预测建模（一种注意力增强LSTM）的多阶段方法，在群体意识交叉验证下，从驾驶行为（剧烈加速和刹车）和道路环境（曲率）信息中估计短期异常高的生理状态（心率、收缩压- BP）。结果从驾驶行为和道路基础设施特征可以可靠地推断出短视界异常生理状态。在交叉验证的分析中，在类别平衡优化下观察到性能的提高，心率和收缩压始终具有很强的区别。研究结果表明，常规暴露于特定道路环境与可测量的生理负荷有关。这些结果是相互关联的，并产生假设。他们强调需要重新定义智能交通系统（ITS），以考虑驾驶员的健康结果。他们还提倡发展健康意识基础设施、监测工具和自适应车载系统。结论研究结果表明了健康意识分析的可行性，并概述了健康意识监测和预警的模块化路线图HEALD （Holistic Evaluation and analytics for Livable Driving）框架。HEALD包括一个驾驶早期预警评分（DEWS）模式，该模式指定了风险分级和警报逻辑，并具有操作阈值，可进行前瞻性验证。考虑到男性样本，可穿戴传感器的精度限制，以及现场随机化的限制（例如，不可避免的交通和天气变化等），研究结果的解释应该谨慎。为了在HEALD路线图中提供主动的安全和福祉工具，我们未来的工作将集中在：(i)招募更广泛、性别平衡和地理多样化的驾驶员样本；（ii）对DEWS阈值进行前瞻性、预注册验证；（三）评估驾驶员指导、路线和速度调节干预措施。
{"title":"The intersection of driving and health: Toward a framework for healthy driving","authors":"Nafaa Jabeur , Hedi Haddad , Zied Bouyahia , Fatma Outay , Mahmoud Mastouri","doi":"10.1016/j.jth.2026.102260","DOIUrl":"10.1016/j.jth.2026.102260","url":null,"abstract":"<div><h3>Introduction</h3><div>This paper presents an investigation into health-conscious driving, a dimension that has received limited attention compared to traditional focuses on road safety and eco-efficiency. To address this gap, we introduce the concept of <em>healthy driving</em> as a complementary objective in Intelligent Transportation Systems (ITS), which emphasizes the physiological well-being of drivers and examines how driving behaviors and environmental conditions are associated with physiological load. In an observational on-road case study in Muscat (Oman) involving 33 drivers, our objective is to identify contexts in which physiological indicators cross clinically relevant thresholds or show marked individualized deviations. Such events are treated as associatioal signals of increased physiological strain rather then indicators of immediate or long-term health risks.</div></div><div><h3>Methods</h3><div>A dataset of real-world GPS trajectories and physiological parameters from a group of drivers employed by a governmental institution in Muscat, Oman, was collected over a 13-month period. Initially, 58 professional male drivers were enrolled. Based on pre-specified data-quality criteria, only 33 were retained for the study. Despite their uniform application, we acknowledge that these selection criteria may introduce bias toward participants with more complete or higher-quality recording. We used a multi-phase approach combining data exploration (including geospatial mapping), driver profiling (clustering), and predictive modeling (an attention-augmented LSTM) to estimate short-horizon abnormally high physiological states (heart rate, systolic Blood Pressure - BP) from driving behavioral (harsh acceleration and breaking) and road contextual (curvatures) information under group-aware cross-validation.</div></div><div><h3>Results</h3><div>Results show that short-horizon abnormal physiological states can be reliably inferred from driving behavior and road infrastructure features. Across cross-validated analyses, performance gains were observed under class-balanced optimization, with consistently strong discrimination for heart rate and systolic blood pressure. The findings suggest that routine exposure to specific road contexts is associated with measurable physiological load. These results are associational and hypothesis-generating. They underscore the need to redefine Intelligent Transportation Systems (ITS) to account for driver health outcomes. They furthermore advocate for the development of health-aware infrastructure, monitoring tools, and adaptive in-vehicle systems.</div></div><div><h3>Conclusions</h3><div>Our findings suggest the feasibility of health-aware analytics and outline the HEALD (Holistic Evaluation and Analytics for Livable Driving) framework, a modular roadmap for health-aware monitoring and early warning. HEALD includes a Driving Early Warning Score (DEWS) schema specifying risk banding and alert logic, with op","PeriodicalId":47838,"journal":{"name":"Journal of Transport & Health","volume":"48 ","pages":"Article 102260"},"PeriodicalIF":3.3,"publicationDate":"2026-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145940165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-04DOI: 10.1016/j.jth.2025.102248
Huihui Zhou, Dake Wei
Introduction:
Global population aging has intensified the prevalence of visual impairment among older adults. Walking is a critical activity for maintaining overall health among older adults, yet visual impairment significantly compromises their walking. To enhance the walking safety of older adults with visual impairment, it is essential to address the current challenges, including fragmented environmental research and insufficient standards. While interdisciplinary collaboration and a systematic understanding of the interaction between environmental science and medicine are urgent required.
Methods:
This study proposes a preliminary conceptual framework of visual functional ability grounded in the World Health Organization’s definition of functional ability to demonstrate the holistic research landscape of visual environments affecting walking in older adults with visual impairment. Through a two-pronged approach that integrating literature evidence and VI demands-driven principles, employ the visual function as a bridge to establish the pathway of visual environment with walking among target population, this study presents a synthesis of diverse and disparate evidence among literature that establish a comprehensive understanding of these impacts.
Results:
The developed integrated causal diagram, grounded in extracted research findings, demonstrate the mechanisms linking environmental stimuli with individual characteristics of visual function to show their combined impact on walking. Acquiring the reliability and completeness of visual information is central to this process, facilitated by designs that focusing on feedforward visual mechanisms.These designs are driven by interventions tailored to five visual function demands of visual acuity, color vision, depth perception, contrast sensitivity and field of vision.
Conclusion:
The integrated causal diagram provides a foundation for empirical studies and offers actionable insights for age-friendly environments that support safe walking for older adults with visual impairment. While further empirical validation is required for real-world translation, a more nuanced exploration of the factors and associated outcomes remains necessary, like social and dynamic environmental factors, as well as the standardization of methodologies.
{"title":"Effects of the visual environment on walking among older adults with visual impairment: A conceptual framework","authors":"Huihui Zhou, Dake Wei","doi":"10.1016/j.jth.2025.102248","DOIUrl":"10.1016/j.jth.2025.102248","url":null,"abstract":"<div><h3>Introduction:</h3><div>Global population aging has intensified the prevalence of visual impairment among older adults. Walking is a critical activity for maintaining overall health among older adults, yet visual impairment significantly compromises their walking. To enhance the walking safety of older adults with visual impairment, it is essential to address the current challenges, including fragmented environmental research and insufficient standards. While interdisciplinary collaboration and a systematic understanding of the interaction between environmental science and medicine are urgent required.</div></div><div><h3>Methods:</h3><div>This study proposes a preliminary conceptual framework of visual functional ability grounded in the World Health Organization’s definition of functional ability to demonstrate the holistic research landscape of visual environments affecting walking in older adults with visual impairment. Through a two-pronged approach that integrating literature evidence and VI demands-driven principles, employ the visual function as a bridge to establish the pathway of visual environment with walking among target population, this study presents a synthesis of diverse and disparate evidence among literature that establish a comprehensive understanding of these impacts.</div></div><div><h3>Results:</h3><div>The developed integrated causal diagram, grounded in extracted research findings, demonstrate the mechanisms linking environmental stimuli with individual characteristics of visual function to show their combined impact on walking. Acquiring the reliability and completeness of visual information is central to this process, facilitated by designs that focusing on feedforward visual mechanisms.These designs are driven by interventions tailored to five visual function demands of visual acuity, color vision, depth perception, contrast sensitivity and field of vision.</div></div><div><h3>Conclusion:</h3><div>The integrated causal diagram provides a foundation for empirical studies and offers actionable insights for age-friendly environments that support safe walking for older adults with visual impairment. While further empirical validation is required for real-world translation, a more nuanced exploration of the factors and associated outcomes remains necessary, like social and dynamic environmental factors, as well as the standardization of methodologies.</div></div>","PeriodicalId":47838,"journal":{"name":"Journal of Transport & Health","volume":"48 ","pages":"Article 102248"},"PeriodicalIF":3.3,"publicationDate":"2026-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145940164","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-02DOI: 10.1016/j.jth.2025.102252
Luis A. Guzman , Victor A. Cantillo-Garcia , Angie Criado , Lauren Bisi , Andrés I. Vecino-Ortiz , Abdulgafoor M. Bachani
Introduction
Rapid motorization in low- and middle-income countries has made motorcycles an increasingly popular yet high-risk mode of transport, posing significant public health and policy challenges. In Bogotá, Colombia, motorcyclists account for nearly half of all traffic-related fatalities, disproportionately affecting lower-income residents. This study investigates the behavioral, psychosocial, and structural determinants influencing motorcycle dependence.
Methods
A cross-sectional survey was conducted with 781 adult motorcycle riders, representative of Bogotá's motorcycling population. The survey captured data on travel behavior, road-safety experience, perceived injury risk, underlying motivations, and mobility satisfaction. A hybrid choice model was employed to assess the influence of sociodemographic characteristics, travel demand policies, risk propensity personality traits, and latent psychosocial constructs—based on the Theory of Planned Behavior—on the intention to use motorcycles. These constructs included instrumental and affective attitudes, perceived social norms, and perceived behavioral control.
Results
Affective attitudes—such as enjoyment and a sense of freedom—emerged as strong positive predictors of continued motorcycle use. In contrast, instrumental attitudes—emphasizing practicality and necessity—indicated a potential openness to mode shift if attractive alternatives were available. Policy simulations revealed that regulatory measures such as license plate-based circulation restrictions, increased taxation, and passenger bans significantly discouraged motorcycle use. Conversely, improvements in public transport showed limited influence due to persistent negative perceptions of its reliability and safety.
Conclusions
The findings highlight the need for comprehensive strategies that address both rational economic considerations and the psychosocial motivations behind motorcycle dependence. Effective interventions in rapidly motorizing cities must combine strong enforcement, improved public transport, economic incentives, and behavior change campaigns to reduce traffic injuries and promote healthier urban environments.
{"title":"Individual gain, societal pain: When personal mobility solutions become public problems","authors":"Luis A. Guzman , Victor A. Cantillo-Garcia , Angie Criado , Lauren Bisi , Andrés I. Vecino-Ortiz , Abdulgafoor M. Bachani","doi":"10.1016/j.jth.2025.102252","DOIUrl":"10.1016/j.jth.2025.102252","url":null,"abstract":"<div><h3>Introduction</h3><div>Rapid motorization in low- and middle-income countries has made motorcycles an increasingly popular yet high-risk mode of transport, posing significant public health and policy challenges. In Bogotá, Colombia, motorcyclists account for nearly half of all traffic-related fatalities, disproportionately affecting lower-income residents. This study investigates the behavioral, psychosocial, and structural determinants influencing motorcycle dependence.</div></div><div><h3>Methods</h3><div>A cross-sectional survey was conducted with 781 adult motorcycle riders, representative of Bogotá's motorcycling population. The survey captured data on travel behavior, road-safety experience, perceived injury risk, underlying motivations, and mobility satisfaction. A hybrid choice model was employed to assess the influence of sociodemographic characteristics, travel demand policies, risk propensity personality traits, and latent psychosocial constructs—based on the Theory of Planned Behavior—on the intention to use motorcycles. These constructs included instrumental and affective attitudes, perceived social norms, and perceived behavioral control.</div></div><div><h3>Results</h3><div>Affective attitudes—such as enjoyment and a sense of freedom—emerged as strong positive predictors of continued motorcycle use. In contrast, instrumental attitudes—emphasizing practicality and necessity—indicated a potential openness to mode shift if attractive alternatives were available. Policy simulations revealed that regulatory measures such as license plate-based circulation restrictions, increased taxation, and passenger bans significantly discouraged motorcycle use. Conversely, improvements in public transport showed limited influence due to persistent negative perceptions of its reliability and safety.</div></div><div><h3>Conclusions</h3><div>The findings highlight the need for comprehensive strategies that address both rational economic considerations and the psychosocial motivations behind motorcycle dependence. Effective interventions in rapidly motorizing cities must combine strong enforcement, improved public transport, economic incentives, and behavior change campaigns to reduce traffic injuries and promote healthier urban environments.</div></div>","PeriodicalId":47838,"journal":{"name":"Journal of Transport & Health","volume":"48 ","pages":"Article 102252"},"PeriodicalIF":3.3,"publicationDate":"2026-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145886344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-23DOI: 10.1016/j.jth.2025.102241
Nora Studer , Michael A. B. van Eggermond , Dorothea Schaffner , Lucy Johnson , Leah Knecht
Introduction
The promotion of cycling as a sustainable and healthy mode of transport is often hindered by safety concerns. Cycling safety is influenced by various factors, such as infrastructure, traffic conditions, and cycling skills. Online cycling training is a scalable method for improving safety skills, but its effectiveness is ultimately determined by users’ acceptance and usage intentions of the intervention.
Methods
This study uses a survey approach to investigate the usage and acceptance of an online cycling training intervention for adults, employing the Unified Theory of Acceptance and Use of Technology (UTAUT2) as theoretical framework. The training consisted of three modules designed to train cycling skills in seven traffic situations – such as recognizing priority, appropriate lateral position along parked cars, and recognizing blind spot situations. Out of 10,000 invitees, 1182 individuals completing module 1, and 708 individuals completing the entire training as well as answering to a survey to measure acceptance.
Results
Findings showed that frequent cyclists were significantly more likely to complete the entire training. Overall, acceptance ratings were generally high, with effort expectancy (ease of use) receiving the highest ratings, while the performance expectancy (perceived learning effect) was rated the lowest. Key factors associated with participants' intention to continue or participate anew in the training included hedonic motivation (fun), perceived learning benefits, price value (attractive prizes). Participants’ cycling frequency moderated these effects.
Conclusion
This study's results indicate that a considerable share of cyclists is willing to complete an online cycling training. To enhance its reach, the training should appeal to both intrinsic motivation (enjoyment, learning benefits) and extrinsic motivation (prizes). Additionally, targeted measures are recommended to effectively address infrequent cyclists.
{"title":"Acceptance of an online cycling training for adults to master complex traffic situations","authors":"Nora Studer , Michael A. B. van Eggermond , Dorothea Schaffner , Lucy Johnson , Leah Knecht","doi":"10.1016/j.jth.2025.102241","DOIUrl":"10.1016/j.jth.2025.102241","url":null,"abstract":"<div><h3>Introduction</h3><div>The promotion of cycling as a sustainable and healthy mode of transport is often hindered by safety concerns. Cycling safety is influenced by various factors, such as infrastructure, traffic conditions, and cycling skills. Online cycling training is a scalable method for improving safety skills, but its effectiveness is ultimately determined by users’ acceptance and usage intentions of the intervention.</div></div><div><h3>Methods</h3><div>This study uses a survey approach to investigate the usage and acceptance of an online cycling training intervention for adults, employing the Unified Theory of Acceptance and Use of Technology (UTAUT2) as theoretical framework. The training consisted of three modules designed to train cycling skills in seven traffic situations – such as recognizing priority, appropriate lateral position along parked cars, and recognizing blind spot situations. Out of 10,000 invitees, 1182 individuals completing module 1, and 708 individuals completing the entire training as well as answering to a survey to measure acceptance.</div></div><div><h3>Results</h3><div>Findings showed that frequent cyclists were significantly more likely to complete the entire training. Overall, acceptance ratings were generally high, with effort expectancy (ease of use) receiving the highest ratings, while the performance expectancy (perceived learning effect) was rated the lowest. Key factors associated with participants' intention to continue or participate anew in the training included hedonic motivation (fun), perceived learning benefits, price value (attractive prizes). Participants’ cycling frequency moderated these effects.</div></div><div><h3>Conclusion</h3><div>This study's results indicate that a considerable share of cyclists is willing to complete an online cycling training. To enhance its reach, the training should appeal to both intrinsic motivation (enjoyment, learning benefits) and extrinsic motivation (prizes). Additionally, targeted measures are recommended to effectively address infrequent cyclists.</div></div>","PeriodicalId":47838,"journal":{"name":"Journal of Transport & Health","volume":"47 ","pages":"Article 102241"},"PeriodicalIF":3.3,"publicationDate":"2025-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145840861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-22DOI: 10.1016/j.jth.2025.102250
Carlo Luiu , Charles Musselwhite
{"title":"Towards a research agenda to better understand the role of walking for healthy ageing and wellbeing in African cities","authors":"Carlo Luiu , Charles Musselwhite","doi":"10.1016/j.jth.2025.102250","DOIUrl":"10.1016/j.jth.2025.102250","url":null,"abstract":"","PeriodicalId":47838,"journal":{"name":"Journal of Transport & Health","volume":"47 ","pages":"Article 102250"},"PeriodicalIF":3.3,"publicationDate":"2025-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145925654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-20DOI: 10.1016/j.jth.2025.102243
Aolin Yu , Jiangbi Hu , Ronghua Wang , Qingxin Hu , Yanyan Guan , Teng Liu
Introduction
Older adults often experience visual decline that limits their ability to perceive road markings, reducing their driving confidence and safety. Ensuring adequate visual accessibility of road markings is critical for supporting safe and independent mobility among aging populations. This study explores the daytime visibility requirements of age-sensitive road markings to enhance inclusivity and safety for older road users.
Methods
A real-road driving experiment involved 40 participants across three age groups: young (22–44 years), middle-aged (45–59 years), and older adults (≥60 years). 24 marking configurations were evaluated, and 960 preview distance measurements were collected. A generalized linear model (GLM) was employed to analyze the effects of luminance contrast, width, color, driver age, and gender on daytime preview distance. Additionally, age-stratified asymptotic regression models were developed to capture the nonlinear relationship between luminance contrast and preview distance. Thresholds of luminance contrast for various marking widths and colors were identified.
Results
Luminance contrast, width, color, and driver age significantly influenced preview distance (p < 0.05), while gender showed no significant effect. Within the speed range of 60–100 km/h, older drivers required luminance contrast thresholds 1.34–2.36 times higher than younger and middle-aged drivers to achieve comparable visibility.
Conclusions
The findings highlight the importance of age-sensitive design in visual road infrastructure to ensure inclusive mobility. The identified thresholds provide quantitative guidance for the design and maintenance of age-sensitive pavement markings, contributing to the development of inclusive and age-friendly transport systems that promote safety, independence, and social inclusion for older adults.
{"title":"Daytime visibility requirements of drivers for age-inclusive road markings","authors":"Aolin Yu , Jiangbi Hu , Ronghua Wang , Qingxin Hu , Yanyan Guan , Teng Liu","doi":"10.1016/j.jth.2025.102243","DOIUrl":"10.1016/j.jth.2025.102243","url":null,"abstract":"<div><h3>Introduction</h3><div>Older adults often experience visual decline that limits their ability to perceive road markings, reducing their driving confidence and safety. Ensuring adequate visual accessibility of road markings is critical for supporting safe and independent mobility among aging populations. This study explores the daytime visibility requirements of age-sensitive road markings to enhance inclusivity and safety for older road users.</div></div><div><h3>Methods</h3><div>A real-road driving experiment involved 40 participants across three age groups: young (22–44 years), middle-aged (45–59 years), and older adults (≥60 years). 24 marking configurations were evaluated, and 960 preview distance measurements were collected. A generalized linear model (GLM) was employed to analyze the effects of luminance contrast, width, color, driver age, and gender on daytime preview distance. Additionally, age-stratified asymptotic regression models were developed to capture the nonlinear relationship between luminance contrast and preview distance. Thresholds of luminance contrast for various marking widths and colors were identified.</div></div><div><h3>Results</h3><div>Luminance contrast, width, color, and driver age significantly influenced preview distance (p < 0.05), while gender showed no significant effect. Within the speed range of 60–100 km/h, older drivers required luminance contrast thresholds 1.34–2.36 times higher than younger and middle-aged drivers to achieve comparable visibility.</div></div><div><h3>Conclusions</h3><div>The findings highlight the importance of age-sensitive design in visual road infrastructure to ensure inclusive mobility. The identified thresholds provide quantitative guidance for the design and maintenance of age-sensitive pavement markings, contributing to the development of inclusive and age-friendly transport systems that promote safety, independence, and social inclusion for older adults.</div></div>","PeriodicalId":47838,"journal":{"name":"Journal of Transport & Health","volume":"47 ","pages":"Article 102243"},"PeriodicalIF":3.3,"publicationDate":"2025-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145791127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-17DOI: 10.1016/j.jth.2025.102240
Gretchen Bella , Amanda Stathopoulos
Introduction
The COVID-19 pandemic accelerated adoption of telehealth, yet its long-term role remains unclear given uncertainties in the healthcare landscape, especially for pediatric care. This study investigates how transportation-related burdens and caregiver stress influence decision-making between in-person and telehealth appointments for children.
Methods
Using data from a nationally representative, web-based stated choice experiment (n = 157 caregivers, 942 observations), we apply an Integrated Choice and Latent Variable (ICLV) model to capture drivers of healthcare access modality choice.
Results
Our findings reveal that a caregiver's real-world travel burdens – such as being solely responsible for a child's transportation – significantly increase the likelihood of choosing telehealth. In contrast, a strong latent preference for in-person care persists among some caregivers, even when telehealth offers more favorable appointment attributes.
Conclusions
The results of this study underscore the importance of considering telehealth access and caregiver context when designing pediatric healthcare systems. The findings have implications for both healthcare delivery providers and transportation planners.
{"title":"Balancing Convenience and Care: What role does transportation play in the tradeoff between in-person and virtual healthcare choices for caregivers?","authors":"Gretchen Bella , Amanda Stathopoulos","doi":"10.1016/j.jth.2025.102240","DOIUrl":"10.1016/j.jth.2025.102240","url":null,"abstract":"<div><h3>Introduction</h3><div>The COVID-19 pandemic accelerated adoption of telehealth, yet its long-term role remains unclear given uncertainties in the healthcare landscape, especially for pediatric care. This study investigates how transportation-related burdens and caregiver stress influence decision-making between in-person and telehealth appointments for children.</div></div><div><h3>Methods</h3><div>Using data from a nationally representative, web-based stated choice experiment (n = 157 caregivers, 942 observations), we apply an Integrated Choice and Latent Variable (ICLV) model to capture drivers of healthcare access modality choice.</div></div><div><h3>Results</h3><div>Our findings reveal that a caregiver's real-world travel burdens – such as being solely responsible for a child's transportation – significantly increase the likelihood of choosing telehealth. In contrast, a strong latent preference for in-person care persists among some caregivers, even when telehealth offers more favorable appointment attributes.</div></div><div><h3>Conclusions</h3><div>The results of this study underscore the importance of considering telehealth access and caregiver context when designing pediatric healthcare systems. The findings have implications for both healthcare delivery providers and transportation planners.</div></div>","PeriodicalId":47838,"journal":{"name":"Journal of Transport & Health","volume":"47 ","pages":"Article 102240"},"PeriodicalIF":3.3,"publicationDate":"2025-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145791128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-17DOI: 10.1016/j.jth.2025.102209
Kyriaki Kokka (Kelly) , Yuru Huang , Irena Itova , Carola Bibiane Schönlieb , Louise Foley , James Woodcock , Thomas Burgoine
Introduction
The built environment can influence diet, participation in physical activity, related non-communicable disease outcomes and mortality. Therefore, characteristics of the built environment have been the subject of much international public health research. However, in many contexts the ability to measure environmental exposure is limited by data availability. In-person street audits can provide detail but are costly at scale, while virtual, desk-based audits are also resource-intensive. Computer vision (CV), powered by deep learning, which can automatically extract data on environmental characteristics from street images, is a potentially powerful alternative. In this systematic scoping review, we explored the uses, models and performance of CV for the detection of environmental characteristics of potential relevance to diet and physical activity behaviours from street images.
Methods
Following an adapted version of Arksey and O'Malley's review process, we used eight diverse databases to identify 11,221 records. Eligible studies were published 2020–2023, reported in English and focused on CV models to identify objects relevant to diet or physical activity from street images. After title, abstract, and full-text screening, we included 106 studies in our review. We conducted a narrative synthesis of findings, supported by harvest plots.
Results
Most studies employed pre-trained, segmentation models such as DeepLabv3 and YOLO, based on Cityscapes and MS COCO benchmark datasets. Applications of CV have been concentrated in the United States and China, and in high income countries more generally. CV was used to detect data on 40 broader environmental characteristics relating to the built, natural, transport and food environments. Less than half of the studies we found reported model accuracy.
Conclusions
Our findings indicate the potential of CV in public health research. However, it is a concern that few studies have reported CV model performance. We provide some minimum reporting recommendations concerned with the use of CV to maintain trust and transparency in public health research.
{"title":"Computer vision for extraction of environmental characteristics from street images: a scoping review of methods and applications","authors":"Kyriaki Kokka (Kelly) , Yuru Huang , Irena Itova , Carola Bibiane Schönlieb , Louise Foley , James Woodcock , Thomas Burgoine","doi":"10.1016/j.jth.2025.102209","DOIUrl":"10.1016/j.jth.2025.102209","url":null,"abstract":"<div><h3>Introduction</h3><div>The built environment can influence diet, participation in physical activity, related non-communicable disease outcomes and mortality. Therefore, characteristics of the built environment have been the subject of much international public health research. However, in many contexts the ability to measure environmental exposure is limited by data availability. In-person street audits can provide detail but are costly at scale, while virtual, desk-based audits are also resource-intensive. Computer vision (CV), powered by deep learning, which can automatically extract data on environmental characteristics from street images, is a potentially powerful alternative. In this systematic scoping review, we explored the uses, models and performance of CV for the detection of environmental characteristics of potential relevance to diet and physical activity behaviours from street images.</div></div><div><h3>Methods</h3><div>Following an adapted version of Arksey and O'Malley's review process, we used eight diverse databases to identify 11,221 records. Eligible studies were published 2020–2023, reported in English and focused on CV models to identify objects relevant to diet or physical activity from street images. After title, abstract, and full-text screening, we included 106 studies in our review. We conducted a narrative synthesis of findings, supported by harvest plots.</div></div><div><h3>Results</h3><div>Most studies employed pre-trained, segmentation models such as DeepLabv3 and YOLO, based on Cityscapes and MS COCO benchmark datasets. Applications of CV have been concentrated in the United States and China, and in high income countries more generally. CV was used to detect data on 40 broader environmental characteristics relating to the built, natural, transport and food environments. Less than half of the studies we found reported model accuracy.</div></div><div><h3>Conclusions</h3><div>Our findings indicate the potential of CV in public health research. However, it is a concern that few studies have reported CV model performance. We provide some minimum reporting recommendations concerned with the use of CV to maintain trust and transparency in public health research.</div></div>","PeriodicalId":47838,"journal":{"name":"Journal of Transport & Health","volume":"47 ","pages":"Article 102209"},"PeriodicalIF":3.3,"publicationDate":"2025-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145791131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-17DOI: 10.1016/j.jth.2025.102249
Mohammad Asif Sheikh
Introduction
Aggressive driving behaviors are linked to attention-deficit/hyperactivity disorder (ADHD) symptoms, yet the moderating roles of personality traits and driving anger remain underexplored, particularly among two-wheeler riders in low- and middle-income countries (LMICs). This study examined associations between aggressive driving violations and ADHD symptom severity, focusing on neuroticism and driving anger as moderators.
Methods
A cross-sectional survey was conducted with 150 male postgraduate two-wheeler riders in India. ADHD symptoms were assessed using the Adult ADHD Self-Report Scale, aggressive driving violations via the Extended Driver Behaviour Questionnaire, driving anger using the Deffenbacher Driving Anger Scale, and personality traits through the 10-item Big Five Inventory. Multiple regression and moderation analyses were performed.
Results
Aggressive driving violations significantly predicted ADHD symptom severity (p < .001), independent of driving anger and neuroticism. A marginal interaction with neuroticism (p = .068) suggested a stronger association at lower neuroticism levels. Driving anger did not significantly moderate this relationship. Age and helmet non-use were also independently associated with ADHD symptoms (p = .045 and p = .024, respectively).
Conclusions
Aggressive driving violations show a stable association with ADHD symptom severity in young male two-wheeler riders in an LMIC context, with preliminary evidence for neuroticism as a moderator. These findings underscore the need for personality-informed interventions addressing self-regulatory and behavioral aspects of driving behavior in ADHD populations.
{"title":"Aggressive driving and ADHD symptoms in young male drivers: Examining the roles of personality traits and driving anger","authors":"Mohammad Asif Sheikh","doi":"10.1016/j.jth.2025.102249","DOIUrl":"10.1016/j.jth.2025.102249","url":null,"abstract":"<div><h3>Introduction</h3><div>Aggressive driving behaviors are linked to attention-deficit/hyperactivity disorder (ADHD) symptoms, yet the moderating roles of personality traits and driving anger remain underexplored, particularly among two-wheeler riders in low- and middle-income countries (LMICs). This study examined associations between aggressive driving violations and ADHD symptom severity, focusing on neuroticism and driving anger as moderators.</div></div><div><h3>Methods</h3><div>A cross-sectional survey was conducted with 150 male postgraduate two-wheeler riders in India. ADHD symptoms were assessed using the Adult ADHD Self-Report Scale, aggressive driving violations via the Extended Driver Behaviour Questionnaire, driving anger using the Deffenbacher Driving Anger Scale, and personality traits through the 10-item Big Five Inventory. Multiple regression and moderation analyses were performed.</div></div><div><h3>Results</h3><div>Aggressive driving violations significantly predicted ADHD symptom severity (p < .001), independent of driving anger and neuroticism. A marginal interaction with neuroticism (p = .068) suggested a stronger association at lower neuroticism levels. Driving anger did not significantly moderate this relationship. Age and helmet non-use were also independently associated with ADHD symptoms (p = .045 and p = .024, respectively).</div></div><div><h3>Conclusions</h3><div>Aggressive driving violations show a stable association with ADHD symptom severity in young male two-wheeler riders in an LMIC context, with preliminary evidence for neuroticism as a moderator. These findings underscore the need for personality-informed interventions addressing self-regulatory and behavioral aspects of driving behavior in ADHD populations.</div></div>","PeriodicalId":47838,"journal":{"name":"Journal of Transport & Health","volume":"47 ","pages":"Article 102249"},"PeriodicalIF":3.3,"publicationDate":"2025-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145791129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-16DOI: 10.1016/j.jth.2025.102246
Ruoxiang Tu , Yiqiang Xiao , Juqing Huang , Jiayu Zhou , Shi Yin , Song Song
Background
Walking is a fundamental mode of transportation and an essential form of sustainable physical activity for urban residents. Prior research supports the health benefits of walking, yet few studies have rigorously compared natural and artificial walking environments to provide a valid assessment of environmental effects. This review addresses this gap by synthesizing the effects of exposure to natural walking environments on physiological and psychological outcomes and summarizing the major walking environment factors.
Methods
A total of 55 intervention studies were included, identified through database searches (WOS, Scopus, PubMed) using targeted queries on urban outdoor walking environment exposures, supplemented by citation tracking. Meta-analyses were performed on physiological (e.g., cardiovascular measures, cortisol) and psychological outcomes (commonly used scales) reported in the included studies, comparing natural and artificial walking environments.
Results
Meta-analyses showed that natural walking environments significantly improved positive affect (based on 11 studies, p < 0.00001) and reduced anxiety (5 studies, p = 0.03) compared with artificial environments, and subgroup analyses further indicated that walking approximately 1.5–2.5 km in natural environments can significantly improve positive affect. No significant differences were found in heart rate, blood pressure, cortisol, mood, or cognitive performance between the two walking environments.
Conclusion
Natural walking environments offer significant mental health benefits, although evidence for direct physiological improvements remains limited. These benefits depend on walking distance and duration and may be partially offset by uncomfortable walking settings, suggesting that adequate walking space and physical environmental factors should also be integrated into urban design.
{"title":"Health effects of exposure to different urban walking environments: A systematic review and meta-analysis","authors":"Ruoxiang Tu , Yiqiang Xiao , Juqing Huang , Jiayu Zhou , Shi Yin , Song Song","doi":"10.1016/j.jth.2025.102246","DOIUrl":"10.1016/j.jth.2025.102246","url":null,"abstract":"<div><h3>Background</h3><div>Walking is a fundamental mode of transportation and an essential form of sustainable physical activity for urban residents. Prior research supports the health benefits of walking, yet few studies have rigorously compared natural and artificial walking environments to provide a valid assessment of environmental effects. This review addresses this gap by synthesizing the effects of exposure to natural walking environments on physiological and psychological outcomes and summarizing the major walking environment factors.</div></div><div><h3>Methods</h3><div>A total of 55 intervention studies were included, identified through database searches (WOS, Scopus, PubMed) using targeted queries on urban outdoor walking environment exposures, supplemented by citation tracking. Meta-analyses were performed on physiological (e.g., cardiovascular measures, cortisol) and psychological outcomes (commonly used scales) reported in the included studies, comparing natural and artificial walking environments.</div></div><div><h3>Results</h3><div>Meta-analyses showed that natural walking environments significantly improved positive affect (based on 11 studies, <em>p</em> < 0.00001) and reduced anxiety (5 studies, <em>p</em> = 0.03) compared with artificial environments, and subgroup analyses further indicated that walking approximately 1.5–2.5 km in natural environments can significantly improve positive affect. No significant differences were found in heart rate, blood pressure, cortisol, mood, or cognitive performance between the two walking environments.</div></div><div><h3>Conclusion</h3><div>Natural walking environments offer significant mental health benefits, although evidence for direct physiological improvements remains limited. These benefits depend on walking distance and duration and may be partially offset by uncomfortable walking settings, suggesting that adequate walking space and physical environmental factors should also be integrated into urban design.</div></div>","PeriodicalId":47838,"journal":{"name":"Journal of Transport & Health","volume":"47 ","pages":"Article 102246"},"PeriodicalIF":3.3,"publicationDate":"2025-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145791130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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