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An observational survey of the use and non-use of footbridges by school children in Ghana 加纳小学生使用和不使用人行天桥的观察性调查
Pub Date : 2025-12-25 DOI: 10.1016/j.aftran.2025.100076
Thomas Kolawole Ojo , Anthony Baffour Appiah , Linda Lamisi Ayingura , Emmanuel Kofi Adanu , Peter Donkor , Charles Mock
Pedestrian facilities, especially footbridges, are provided to minimize pedestrian-vehicle interaction, which may result in pedestrian crashes. Schoolchildren constitute a critical pedestrian population group, and their use of footbridges to cross highways is highly encouraged. However, studies have shown that the use or failure to use footbridges by school children are characterized by certain behavioral patterns. This study aims to investigate the behaviors exhibited by school children in Ghana when using and not using footbridges. Seven behaviors (i.e., accompanied, talking among themselves, talking on the phone, wearing earpieces, carrying luggage, running, and riding a bicycle) were observed together with demographic and contextual factors. A total of 8056 schoolchildren were observed during seven days in the vicinity of seven footbridges in the Greater Accra (6) and Kumasi (1) Metropolitan areas of Ghana. Most of the schoolchildren who used the footbridges were talking among themselves, wearing an earpiece, or being accompanied. A binary logistic regression was fitted to establish an association between the seven behaviors, using demographic and contextual explanatory variables and the use of the footbridges. The results revealed that gender, location of the footbridges, day of the week, time of observations, being accompanied, wearing of the earpiece, carrying a piece of luggage and riding a bicycle were significantly associated with the use of footbridges in Ghana. The findings of this study have significant policy implications for the development of targeted education and footbridge policing.
提供行人设施,特别是行人天桥,以尽量减少行人与车辆的相互作用,以免造成行人碰撞。学童是一个重要的行人群体,我们非常鼓励他们使用行人天桥过路。然而,研究表明,学龄儿童使用或不使用人行天桥具有一定的行为模式。本研究旨在调查加纳学龄儿童在使用和不使用人行天桥时表现出的行为。观察7种行为(陪伴、彼此交谈、打电话、戴耳机、携带行李、跑步、骑自行车)以及人口统计学和环境因素。在加纳大阿克拉(6)和库马西(1)大都市区的7座人行桥附近,共观察了8056名学童。大多数小学生在步行桥上互相交谈,或戴着耳机,或有人陪伴。利用人口统计学和上下文解释变量与人行天桥的使用,拟合二元逻辑回归来建立七种行为之间的关联。结果显示,性别、人行桥的位置、一周中的哪一天、观察时间、陪同、佩戴耳机、携带一件行李和骑自行车与加纳人行桥的使用显著相关。本研究的结果对发展有针对性的教育和行人桥警务具有重要的政策意义。
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引用次数: 0
Simulation-based assessment of urban roadway expansion: Evaluating the new Bagamoyo Road Widening Project in Tanzania 基于模拟的城市道路扩展评估:评估坦桑尼亚新的巴加莫约道路拓宽项目
Pub Date : 2025-12-20 DOI: 10.1016/j.aftran.2025.100075
Francisca Kasubi , Flavius Matata , Albert Mwauzi , Priyanka Alluri
During peak hours, many intersections in urban areas experience queuing, often leading to congestion. This study evaluated the operational impact of the New Bagamoyo Road Widening Project, a 4.3 km corridor in Dar es Salaam, Tanzania, spanning from the Morocco to Mwenge intersections. The project aimed to improve intersection performance and overall corridor efficiency by adding two lanes in each direction. A microscopic simulation using PTV VISSIM was conducted, supported by manually collected traffic count data from both before and after construction. The simulation model was calibrated using key driver behavior parameters, including look-ahead and look-back distances, temporary lack of attention, and desired speed distributions. Model accuracy was assessed using the GEH statistic and Root Mean Squared Normalized Error (RMSNE), with all junctions achieving GEH values below 5.0 and RMSNE values below 15 %, indicating a strong fit. Intersection performance was evaluated based on control delay and Level of Service (LOS) following the Highway Capacity Manual methodology. Before construction, all intersections operated at LOS F during peak hours. Post-construction results showed improvements, with several intersections reaching LOS C, B, and A, despite increased traffic volumes. While a paired t-test on the collective delay reduction was not statistically significant, a Cohen's d effect size of 0.44 indicated a small to moderate, practically meaningful operational improvement. These findings demonstrate that road widening, combined with access management, can effectively enhance urban mobility. The study supports the use of simulation-based evaluations in transport planning and offers insights for data-driven infrastructure decisions. It focuses on intersection operations and does not consider pedestrian safety, environmental impacts, or induced demand, areas recommended for future research.
在交通高峰时段,城市的许多十字路口都会出现排队现象,经常导致交通拥堵。本研究评估了新巴加莫约公路拓宽项目的运营影响,该项目是坦桑尼亚达累斯萨拉姆的一条4.3公里长的走廊,从摩洛哥到姆文吉十字路口。该项目旨在通过在每个方向增加两条车道来提高交叉口性能和整体走廊效率。使用PTV VISSIM进行微观模拟,并通过人工收集施工前后的交通计数数据进行支持。仿真模型使用关键驾驶员行为参数进行校准,包括前视和后视距离、暂时缺乏注意力和期望的速度分布。使用GEH统计量和均方根归一化误差(RMSNE)来评估模型的准确性,所有连接的GEH值都低于5.0,RMSNE值低于15%,表明模型的拟合性很强。采用公路通行能力手册的方法,基于控制延迟和服务水平(LOS)对交叉口性能进行评价。在施工前,所有的十字路口在繁忙时间均可在洛斯福通行。施工后的结果显示,尽管交通量增加,但仍有几个十字路口到达了LOS C、B和A。虽然对集体延迟减少的配对t检验没有统计学意义,但科恩的d效应大小为0.44表明有小到中等,实际上有意义的操作改进。这些研究结果表明,道路加宽与通道管理相结合,可以有效提高城市交通。该研究支持在交通规划中使用基于模拟的评估,并为数据驱动的基础设施决策提供见解。它侧重于交叉路口的操作,而没有考虑行人安全、环境影响或诱导需求,这些是建议未来研究的领域。
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引用次数: 0
Assessing road transport emissions in Namibia: Trends, policies and mitigation strategies 评估纳米比亚的道路运输排放:趋势、政策和缓解战略
Pub Date : 2025-12-15 DOI: 10.1016/j.aftran.2025.100074
Robert Ambunda , Samuel A. Ajayi , Kevin Chomore
Namibia is at a critical inflection point in its efforts to manage road transport emissions, with the sector now responsible for more than half of the country's energy-related CO₂ output. This study applies the Computer Programme to Calculate Emissions from Road Transport (COPERT) combined with national fuel consumption and fleet data to estimate emissions and project future trajectories in Namibia. CO₂ emissions were calculated using Tier 1 fuel-based and Tier 2 activity-based methods. Two scenarios were considered: a business-as-usual (BAU) pathway and a mitigation pathway reflecting stricter import policies, fuel efficiency improvements, electric vehicle uptake, and public transport expansion. Results show that CO₂ emissions are projected to increase from 2.1 million tonnes in 2023 to almost 3.0 million tonnes by 2030 under BAU. The mitigation scenario reduces projected emissions to about 1.0 and 1.2 million tonnes, demonstrating significant potential but falling short of Namibia's Nationally Determined Contribution (NDC) targets. The findings indicate that heavy-duty vehicles and buses contribute disproportionately to pollutants, underscoring the urgency of policy interventions with both climate and public health benefits. Furthermore, the findings highlight both the urgency and feasibility of strengthening Namibia's transport policies. While emission reductions are technically achievable through combined interventions, implementation will require overcoming financial, institutional and cultural barriers, and expanding national capacity for emissions monitoring and enforcement.
纳米比亚在管理道路运输排放方面的努力正处于一个关键的转折点,该行业目前占该国能源相关二氧化碳排放量的一半以上。本研究采用计算道路运输排放的计算机程序(COPERT),结合国家燃料消耗和车队数据来估计排放并预测纳米比亚未来的轨迹。CO₂排放量采用一级基于燃料的方法和二级基于活动的方法计算。考虑了两种情景:照常营业(BAU)途径和缓解途径,反映了更严格的进口政策、燃油效率的提高、电动汽车的采用和公共交通的扩大。结果表明,按照BAU计算,二氧化碳排放量预计将从2023年的210万吨增加到2030年的近300万吨。缓解情景将预计排放量减少到约100万吨和120万吨,显示出巨大潜力,但未达到纳米比亚国家自主贡献(NDC)目标。研究结果表明,重型车辆和公共汽车对污染物的贡献不成比例,强调了对气候和公共卫生都有利的政策干预的紧迫性。此外,调查结果强调了加强纳米比亚运输政策的紧迫性和可行性。虽然通过联合干预措施在技术上可以实现减排,但实施将需要克服财政、体制和文化障碍,并扩大国家监测和执行排放的能力。
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引用次数: 0
Walking in an unwalkable context: Exploring methodology for co-producing knowledge in secondary cities 在不可行走的环境中行走:探索二级城市共同生产知识的方法
Pub Date : 2025-12-02 DOI: 10.1016/j.aftran.2025.100073
Prince Kwame Odame , Enoch F. Sam , Chinebuli Uzondu , Festival Godwin Boateng , Emmanuel Mogaji , Christopher Ikeogu
This study explores the methodologies used to acquire knowledge on pedestrian walking experience in secondary cities in Ghana and Nigeria. The study adopts a participatory and community-based approach, leveraging digital innovation (eyeglasses concealing a camera) and other approaches to capture data. In contrast to conventional walkability studies in African cities, which use traditional methods, this innovative approach positions participants as active contributors to knowledge production. Moreover, it provides rich, real-world audio-visual data that offers deeper insights into the quality of their walking experiences. The study highlights how effective planning and timely execution of community engagement in the walking environment affect urban residents. Despite the cost-free nature of walking and its critical role in connecting people to opportunities, video evidence and other methods highlighted significant dissatisfaction with walking environments. Participants expressed varying levels of discontent: residents of Cape Coast described their walking spaces as unattractive and inconvenient, while those in Owerri identified safety and security concerns. This collaborative approach effectively uncovered and documented essential insights into commuters' walking experiences across both locations. The study recommends extending this method to vulnerable population groups to provide a more inclusive understanding of walkability challenges from diverse demographics perspectives.
本研究探讨了加纳和尼日利亚二级城市行人步行体验知识的获取方法。该研究采用参与式和基于社区的方法,利用数字创新(眼镜隐藏摄像头)和其他方法来捕获数据。与使用传统方法的非洲城市步行性研究不同,这种创新方法将参与者定位为知识生产的积极贡献者。此外,它还提供了丰富的、真实的视听数据,可以更深入地了解他们的步行体验质量。该研究强调了步行环境中社区参与的有效规划和及时执行对城市居民的影响。尽管步行的无成本性质及其在将人们与机会联系起来方面的关键作用,但视频证据和其他方法突出了人们对步行环境的严重不满。参与者表达了不同程度的不满:海岸角的居民认为他们的步行空间不吸引人,也不方便,而奥韦里的居民则认为他们担心安全问题。这种协作方法有效地揭示并记录了通勤者在两个地点的步行体验的基本见解。该研究建议将这种方法扩展到弱势群体,以便从不同的人口统计学角度对步行性挑战提供更具包容性的理解。
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引用次数: 0
Get the biggest fish to fry: Assessing commercial operators’ barriers towards electric vehicle adoption in urban and rural sub-saharan Africa 最大的问题是:评估撒哈拉以南非洲城市和农村的商业运营商对电动汽车采用的障碍
Pub Date : 2025-11-25 DOI: 10.1016/j.aftran.2025.100069
Philipp Rosner , Leonie Anandi Gartner , Godwin Kafui Ayetor , Korbinian Götz , Markus Lienkamp
Electric vehicles (EVs) have a high potential of accelerating sustainable development in sub-saharan Africa (SSA), a quickly emerging region with little EV penetration so far. However, directing limited policy and investment efforts for maximum effect requires identification and prioritization of barriers to EV adoption. Literature highlights limited transferability of such analyses between geographic contexts due to distinct mobility demand patterns and operational models. While numerous investigations exist for other regions, few studies focus on SSA and none of them considers the wide gap in transport accessibility between urban and rural settings. We fill this gap using a bayesian multi criteria decision making approach to weigh barriers identified from literature through a two-stage online expert study for both settings with stochastic credal analysis for robustness. High purchase cost and multiple infrastructural barriers (mostly related to charging) are identified as the most significant barriers in both contexts, with a focus on the former in urban and the latter in rural settings. Especially the broad set of issues holding back electrification and mobilization uncovered in rural areas requires multifaceted approaches. Besides general EV friendly and mindful policy, legislators should therefore prioritize methods to overcome CAPEX hurdles, and incentivize investment in rural electrical infrastructure to unlock EVs’ full potential.
在撒哈拉以南非洲(SSA),电动汽车在加速可持续发展方面具有很大的潜力,这是一个快速崛起的地区,目前电动汽车的普及率还很低。然而,指导有限的政策和投资努力以获得最大效果,需要识别和优先考虑电动汽车采用的障碍。文献强调,由于不同的流动性需求模式和操作模型,这种分析在地理环境之间的可转移性有限。虽然对其他地区进行了大量调查,但很少有研究关注SSA,而且没有一项研究考虑到城市和农村环境之间交通可达性的巨大差距。我们使用贝叶斯多准则决策方法来填补这一空白,该方法通过两阶段在线专家研究对两种设置进行随机可信度分析来衡量从文献中确定的障碍。高购买成本和多种基础设施障碍(主要与收费有关)被确定为这两种情况下最重要的障碍,重点是前者在城市环境,后者在农村环境。特别是在农村地区发现的阻碍电气化和动员的广泛问题,需要采取多方面的办法。因此,除了一般的电动汽车友好和谨慎的政策外,立法者应优先考虑克服资本支出障碍的方法,并激励对农村电力基础设施的投资,以释放电动汽车的全部潜力。
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引用次数: 0
Transactional stress model of annoyance provocation among women onboard paratransit buses: Travel safety and satisfaction 公共交通女性乘客烦恼引发的交易压力模型:出行安全与满意度
Pub Date : 2025-11-18 DOI: 10.1016/j.aftran.2025.100070
Philip Kofi Alimo , Stephen Agyeman
Women are susceptible to annoyance-provoked conflicts and harassment in public transport, particularly in paratransit. Knowing how they cope with onboard conflicts and travel inconveniences will help improve travel safety and satisfaction. However, the conceptualization and modeling of female transactional stressors in transportation have received little attention. This research gap leads to a limited understanding of women's travel inconveniences and coping strategies. To address this problem, this study borrows the Transaction Stress Model (TSM) from behavioral science to conceptualize a structural equation model based on the lived experiences of 265 female paratransit passengers and bus conductors in Accra, Ghana. This study investigates (1) the factors that provoke female passenger-conductor annoyance, (2) mediators of annoyance provocation and women's coping mechanisms, and (3) how passenger-conductor annoyance impacts driver distraction. The results reveal that passenger-related annoyances significantly impact female passengers, bus conductors, and drivers, negatively affecting service quality and safety. Also, passenger conflicts and environmental factors significantly influence driver behavior. Several moderating factors, such as family size, ridership, and education level, have been identified as influencing coping strategies. Recommended interventions include improved passenger education, behavior management, enhanced conductor training and support, and increased investment in service quality. This study contributes to improving women's travel safety and satisfaction by addressing passenger-conductor annoyance to guide transport service operators and safety managers.
妇女在公共交通工具上,特别是在辅助交通工具上,容易受到由烦恼引起的冲突和骚扰。了解他们如何处理机上冲突和旅行不便,将有助于提高旅行安全性和满意度。然而,交通运输中女性交易性压力源的概念化和建模却很少受到关注。这一研究差距导致对女性出行不便和应对策略的理解有限。为了解决这一问题,本研究借鉴行为科学中的交易压力模型(Transaction Stress Model, TSM),以加纳阿克拉市265名女性公共交通乘客和售票员的生活经历为基础,概念化了结构方程模型。本研究主要探讨:(1)引发女性乘客列车员烦恼的因素;(2)引发女性乘客列车员烦恼的中介和应对机制;(3)乘客列车员烦恼对驾驶员分心的影响。结果显示,乘客相关烦恼对女性乘客、售票员和司机的影响显著,对服务质量和安全产生负面影响。乘客冲突和环境因素对驾驶员行为影响显著。几个调节因素,如家庭规模,乘客和教育水平,已被确定为影响应对策略。建议的干预措施包括改进乘客教育、行为管理、加强列车员培训和支持,以及增加对服务质量的投资。本研究旨在通过解决乘客列车员的烦恼,以指导交通服务业者和安全管理人员提高女性的出行安全性和满意度。
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引用次数: 0
COVID-19 impact on shared mobility services and the way forward: Perspectives from eight African countries 2019冠状病毒病对共享出行服务的影响及未来路向:来自八个非洲国家的观点
Pub Date : 2025-01-01 DOI: 10.1016/j.aftran.2025.100043
Stephen Agyeman , Philip Kofi Alimo
COVID-19 adversely affected all walks of life in Africa, but there is little evidence of how it has impacted shared mobility services. Empirical investigations from multiple countries will help understand the impacts on travel behavior intentions for planning more resilient shared mobility services. This study investigated the critical factors underpinning shared mobility service delivery in eight African countries: Angola, Botswana, Ghana, Kenya, Liberia, Malawi, Nigeria, and Senegal. An online survey of 8560 commuters was used for Partial Least Squares Structural Equation Modeling (PLS-SEM) and logistic regression within a multiple-indicator multiple-cause (MIMIC) framework. Results showed that age, gender, car ownership, household size, employment, travel reasons, and teleactivities moderate shared mobility adoption in pandemics. Perceived service quality (PSQ) and expectation have significant positive direct (indirect) effects on user satisfaction and loyalty. Customer satisfaction has a significant positive impact on travel behavioral intentions. Also, customer satisfaction and loyalty jointly mediate relationships between PSQ and behavioral intentions. However, travel frequency negatively influences expectation, PSQ, and behavioral choices via customer loyalty. Interestingly, information communication technology has a partially positive impact on PSQ but not on customer loyalty. Importance-performance map analysis indicated that service-provider-customer interventions must boost users' loyalty, subsequently expectations, and PSQ. This study contributes country-by-country policy implications and offers suggestions for strengthening shared mobility services in Africa post-pandemic.
2019冠状病毒病对非洲各行各业产生了不利影响,但几乎没有证据表明它如何影响共享出行服务。来自多个国家的实证调查将有助于了解出行行为意向的影响,从而规划更具弹性的共享出行服务。本研究调查了八个非洲国家(安哥拉、博茨瓦纳、加纳、肯尼亚、利比里亚、马拉维、尼日利亚和塞内加尔)共享出行服务提供的关键因素。对8560名通勤者的在线调查用于偏最小二乘结构方程建模(PLS-SEM)和多指标多原因(MIMIC)框架内的逻辑回归。结果表明,年龄、性别、汽车拥有量、家庭规模、就业、旅行原因和远程活动对流行病中共享交通的采用有影响。感知服务质量(PSQ)和期望对用户满意度和忠诚度有显著的直接(间接)正向影响。顾客满意对旅游行为意向有显著的正向影响。顾客满意和顾客忠诚共同中介PSQ与行为意向之间的关系。然而,旅行频率通过顾客忠诚度对期望、PSQ和行为选择产生负向影响。有趣的是,信息通信技术对顾客满意度有部分正向影响,但对顾客忠诚度没有影响。重要性-绩效图分析表明,服务提供者-客户干预必须提高用户忠诚度,随后的期望和PSQ。这项研究对各国的政策影响作出了贡献,并为加强大流行后非洲的共享流动服务提出了建议。
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引用次数: 0
Road traffic accident determinant factor identification in case of East Gojjam, Ethiopia using wrapper feature selection algorithm 基于包装特征选择算法的埃塞俄比亚东Gojjam道路交通事故决定因素识别
Pub Date : 2025-01-01 DOI: 10.1016/j.aftran.2024.100018
Mequanent Degu Belete , Girma Kassa Alitasb , Samuel Nibretu , Mezigebu Enawugew Dessie
One of the biggest global challenges to development and public health is road traffic accidents (RTAs). As a result, this study focuses on analysing road traffic accident determinant factors using the Wrapper Feature Selection Method in case of East Gojjam Zone located in Amhara region, Ethiopia, sub-Saharan. To do this, East Gojjam Road traffic office RTA data classified as simple injury, major injury, and death is gathered. The gathered information is pre-processed before being used using machine learning classification algorithms including Nearest Neighbour (KNN), Random Forest (RF), Decision Tree (DT), Support Vector Machine (SVM), and Naïve Bayes (NB). Using the wrapper feature selection approach, the most significant factor was identified using the machine-learning algorithm KNN, which obtained the best classification score with an accuracy of 99.5 %. Thus, the type of vehicle, the reason for the accident, the location of the accident, and the licence level were identified as crucial RTA factors. Finally, the variables, Sino track, unfavourable weather, Dolphin, and Debre Elias rated 100 %, 100 %, 85 %, and 82.35 % for fatality in relation to the factors licence driver, cause of accident, type of vehicle, and accident location, respectively.
道路交通事故是发展和公共卫生面临的最大全球挑战之一。因此,本研究的重点是分析道路交通事故的决定因素,使用包装特征选择方法的情况下,东Gojjam区位于阿姆哈拉地区,埃塞俄比亚,撒哈拉以南地区。为此,收集了东Gojjam路交通局RTA分类为简单伤害,重大伤害和死亡的数据。收集到的信息在使用机器学习分类算法之前进行预处理,包括最近邻(KNN),随机森林(RF),决策树(DT),支持向量机(SVM)和Naïve贝叶斯(NB)。使用包装器特征选择方法,使用机器学习算法KNN识别最重要的因素,该算法获得了最佳分类分数,准确率为99.5%。因此,车辆类型、事故原因、事故地点和执照水平被确定为关键的RTA因素。最后,变量,Sino track,不利天气,Dolphin和Debre Elias分别为驾驶员执照,事故原因,车辆类型和事故地点相关因素的死亡率评级为100%,100%,85%和82.35%。
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引用次数: 0
Strengthening commercial motorcyclist safety in Tanzania: Application of the PRECEDE-PROCEED model for an evidence-based road safety awareness campaign 加强坦桑尼亚商业摩托车手的安全:应用pre - proceed模式开展以证据为基础的道路安全意识运动
Pub Date : 2025-01-01 DOI: 10.1016/j.aftran.2025.100039
Marwa Chacha , Stella J. Katondo , Augustino Andrew , Juma Daudi , Prosper Nyaki , Ariane Cuenen , Ansar Yasar , Geert Wets
Road safety among commercial motorcyclists in Tanzania is a significant concern, with high rates of traffic accidents posing risks to both riders and passengers. This study aimed to identify factors contributing to unsafe behaviours and prioritise road safety challenges for targeted awareness campaigns. Using the PRECEDE-PROCEED model, data were collected through surveys of 248 motorcyclists and group discussions with 16 stakeholders. The findings reveal several risk factors, including rider age, income, job satisfaction, and riding experience. Behavioural influences were categorized into predisposing factors, such as limited riding knowledge and negative perceptions of helmet and reflector use; enabling factors, including restricted access to training, lack of safety infrastructure, and inadequate policy enforcement; and reinforcing factors, such as cultural norms shaping safety practices. The study highlights that younger riders are particularly vulnerable to accidents, and many riders do not use helmets due to discomfort and affordability issues.
In conclusion, the study recommends targeted safety campaigns to promote helmet use and reflective clothing, improved access to training programs, and stronger policy enforcement. These interventions are essential for reducing accidents and improving the safety and livelihoods of commercial motorcyclists.
坦桑尼亚商用摩托车驾驶员的道路安全问题备受关注,高发的交通事故给驾驶员和乘客都带来了风险。本研究旨在确定导致不安全行为的因素,并优先考虑道路安全挑战,以开展有针对性的宣传活动。研究采用 PRECEDE-PROCEED 模型,通过对 248 名摩托车手的调查和与 16 名利益相关者的小组讨论收集数据。调查结果揭示了几个风险因素,包括骑行者的年龄、收入、工作满意度和骑行经验。行为影响因素分为倾向性因素,如有限的骑行知识以及对头盔和反光镜使用的负面看法;有利因素,包括接受培训的机会受限、缺乏安全基础设施以及政策执行不力;以及强化因素,如影响安全行为的文化规范。总之,该研究建议开展有针对性的安全宣传活动,以推广头盔和反光衣的使用,改善培训计划的可及性,并加强政策执行力度。这些干预措施对于减少事故、改善商用摩托车驾驶员的安全和生计至关重要。
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引用次数: 0
Spatial database creation and spatial analysis of road traffic crashes in the Ashanti region, Ghana 加纳阿散蒂地区道路交通碰撞的空间数据库创建和空间分析
Pub Date : 2025-01-01 DOI: 10.1016/j.aftran.2025.100041
Emmanuella Adubea Asamoah , Gift Dumedah , Williams Ackaah , Daniel Asenso-Gyambibi , Edwin Kojo Larbi
This study addresses the limitations of Ghana's road traffic crash database, which lacks geographical coordinates, making it difficult to conduct spatial analyses for effective road safety interventions. The research focuses on creating a spatial database and performing spatiotemporal and statistical analyses of road traffic crashes along the N6 and N10 highways in the Ashanti Region from 2018 to 2020. A combination of primary and secondary data sources was used, with crash location data geocoded using postmile linear referencing. Validation of geocoded data was conducted using ground truth points, and positional accuracy was assessed through Root Mean Square Error (RMSE) calculations. Various spatial statistical methods, including Kernel Density Estimation and Hotspot Analysis using Getis-Ord Gi*, were applied to identify crash clusters and high-risk locations. The results indicate that geocoded crash points were accurate, with RMSE values of ±15 m for northings and ± 14 m for eastings, aligning with the recommended 100m buffer for crash location accuracy. The findings highlight critical crash hotspots, particularly at major intersections, emphasizing the need for targeted road safety interventions. The study demonstrates the potential of integrating geospatial data with traditional crash databases to improve road safety planning in Ghana.
本研究解决了加纳道路交通事故数据库的局限性,该数据库缺乏地理坐标,难以进行有效道路安全干预的空间分析。该研究的重点是创建空间数据库,并对2018 - 2020年阿散蒂地区N6和N10高速公路沿线的道路交通事故进行时空和统计分析。使用了主要和次要数据源的组合,并使用英里后线性引用对崩溃位置数据进行地理编码。使用地面真值点对地理编码数据进行验证,并通过均方根误差(RMSE)计算评估定位精度。采用核密度估计和Getis-Ord Gi*热点分析等多种空间统计方法识别碰撞集群和高风险地点。结果表明,地理编码的碰撞点是准确的,北部的RMSE值为±15 m,东部的RMSE值为±14 m,与建议的100米缓冲区的碰撞定位精度一致。研究结果强调了关键的碰撞热点,特别是在主要十字路口,强调了有针对性的道路安全干预措施的必要性。该研究表明,将地理空间数据与传统的碰撞数据库相结合,可以改善加纳的道路安全规划。
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引用次数: 0
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