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Pedestrian flow features and LOS of the walkway: A case study on Dhaka and Chattogram Metropolitan City in Bangladesh 步行道的人流特征与LOS——以孟加拉国达卡和Chattogram都市为例
IF 3.3 Q3 TRANSPORTATION Pub Date : 2025-11-15 DOI: 10.1016/j.cstp.2025.101659
Md.Imran Nazir, Mohei Menul Islam, Quazi Sazzad Hossain
More accidents occur in Bangladesh due to pedestrian errors and lack of walkway design. This study emphasized the pedestrian flow on walkways of the two most populated cities in Bangladesh: Dhaka and Chattogram. Age, gender, and group size-based mean walking speeds of 3733 and 2818 pedestrians in Dhaka and Chattogram, respectively, were determined using 12-hour video recording data from a total of six locations in these two cities. The connections between speed, density, flow, and area module of these pedestrians were analyzed by SPSS 11.5v, and the regression model was validated using the data collected from walkways near Bogura, Bangladesh. To describe the existing footpath conditions, the pedestrian level of service (PLOS) was estimated considering of 15-minute flow, calculated flow, and area occupancy. From the results, considering gender, males had a higher mean walking speed than female for all six selected walkways in Dhaka and Chattogram whereas in terms of age Dhaka’s younger pedestrian walked faster while for Chattogram it was middle-aged. In all walkways except Chittagong New Market, walkers in groups of 2 traveled at a faster speed. In this walkway, the middle-aged males of group size 4 walked faster than group size 2 because of the inadequate sample size (=8 Nos.) of group size 4. From the analysis of the relationships of pedestrian characteristics, the pedestrians of Dhaka walked fast and freely and had more maximum density, and flow as compared to Chattogram, where the minimum area module was the same. After the constructed model was validated, nearly all of the walkways exhibited PLOS A; however, after taking into account the 15-minute flow, Asad Avenue showed PLOS B. Furthermore, in Chittagong New Market, PLOS A, B, and C were obtained for 15-minute flow, calculated flow, and area occupancy, respectively.
由于行人的错误和缺乏人行道设计,孟加拉国发生了更多的事故。这项研究强调了孟加拉国两个人口最多的城市:达卡和查图拉姆的人行道上的行人流量。利用达卡和Chattogram的6个地点的12小时视频记录数据,分别确定了3733名和2818名行人的年龄、性别和基于群体规模的平均步行速度。利用SPSS 11.5v分析了这些行人的速度、密度、流量和面积模块之间的联系,并利用孟加拉国Bogura附近的人行道数据验证了回归模型。为了描述现有的人行道条件,考虑15分钟流量、计算流量和面积占用,估计了行人服务水平(PLOS)。从结果来看,考虑到性别,在达卡和Chattogram的所有六个选定的人行道上,男性的平均步行速度高于女性,而在年龄方面,达卡的年轻行人走得更快,而Chattogram则是中年人。在除吉大港新市场外的所有人行道上,2人一组的步行者速度更快。在这条步道中,由于第4组的样本量不足(=8 no),第4组的中年男性走得比第2组快。从行人特征的关系分析来看,与最小面积模块相同的Chattogram相比,Dhaka的行人行走速度快,行走自由,最大密度和流量更大。构建的模型经过验证后,几乎所有的走道都呈现出PLOS A;而考虑15分钟流量后,Asad Avenue为PLOS B,吉大港新市场15分钟流量、计算流量、占用面积分别为PLOS A、PLOS B、PLOS C。
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引用次数: 0
Changes in car-bus mobility in the context of the pandemic and the war in Ukraine, in Rzeszów, Poland (2018–2024) 在疫情和乌克兰战争背景下,波兰Rzeszów的汽车-公交车流动性变化(2018-2024)
IF 3.3 Q3 TRANSPORTATION Pub Date : 2025-11-14 DOI: 10.1016/j.cstp.2025.101644
Marta Borowska-Stefańska , Tomasz Komornicki , Michał Kowalski , Cezary Plesiński , Szymon Wiśniewski
The aim of the article is to measure changes in the level and shape of the diurnal profiles of car traffic and bus demand in Rzeszów (Poland) over 2018–2024, and to assess the persistence of these changes. The study analyzes the interplay between transport supply (e.g., the organization and functioning of public transport) and demand (i.e., behavioral changes among residents), offering a comprehensive view of how the pandemic and the geopolitical crisis associated with the war in Ukraine disrupted mobility patterns and prompted adaptive responses within the urban mobility system. Rzeszów, as a dynamically developing urban center, provides a valuable case for examining the long-term implications of pandemic-induced restrictions. By observing the forced reduction in mobility during the pandemic, the study identifies where and to what extent spatial mobility can be limited without compromising the resilience of the socio-economic system. This empirical context offers a unique opportunity to explore how urban mobility can be managed more effectively and where unnecessary or excessive movement might be reduced in pursuit of broader sustainability goals. The findings contribute to current European and global debates on sustainable urban mobility, demonstrating that targeted mobility management − guided by evidence from real-world constraints − can support the transition toward more resilient, efficient, and environmentally responsible transport systems. In light of broader challenges such as war in Ukraine, inflation, migration, and the digitalization of transport services, the Rzeszów case exemplifies how cities can respond to disruptions while aligning with long-term policy objectives related to climate neutrality, accessibility, and smart urban growth. Policy implications are articulated across four scales. Citywide, the observed re-profiling of demand, subdued mornings and stronger afternoon/early-evening activity, supports selective mobility reduction and time-sensitive allocation of public-transport supply and traffic management. Corridor-level, central corridors and radial approaches to the city centre emerge as candidates for strengthening collective transport, while peripheral distributor corridors with rising car pressure merit targeted service upgrades paired with calibrated demand restraint. At the junction-level, inner-city junctions and transfer nodes are suitable for signal priority, access management, and turn-movement control; time-of-day management should prioritise 14:00–18:00 and after 18:00.
本文的目的是衡量2018-2024年Rzeszów(波兰)汽车交通和公共汽车需求日概况的水平和形状的变化,并评估这些变化的持久性。该研究分析了交通供应(例如,公共交通的组织和功能)与需求(例如,居民的行为变化)之间的相互作用,全面阐述了与乌克兰战争相关的大流行和地缘政治危机如何扰乱了交通模式,并促使城市交通系统内的适应性反应。Rzeszów作为一个动态发展的城市中心,为审查流行病引起的限制的长期影响提供了一个有价值的案例。通过观察大流行期间流动性被迫减少的情况,该研究确定了在不损害社会经济系统复原力的情况下,在哪些地方和在何种程度上可以限制空间流动性。这种经验背景为探索如何更有效地管理城市机动性以及在追求更广泛的可持续发展目标的过程中如何减少不必要或过度的移动提供了独特的机会。研究结果有助于当前欧洲和全球关于可持续城市交通的讨论,表明有针对性的交通管理——以现实世界的限制为证据——可以支持向更有弹性、更高效、更环保的交通系统过渡。鉴于乌克兰战争、通货膨胀、移民和交通服务数字化等更广泛的挑战,Rzeszów案例展示了城市如何应对中断,同时与气候中和、可达性和智慧城市增长相关的长期政策目标保持一致。政策影响在四个层面上得到阐述。在全市范围内,观察到需求的重新分析,上午的活动减少,下午/傍晚的活动增加,支持选择性减少流动性和时间敏感的公共交通供应分配和交通管理。走廊层、中央走廊和通往市中心的放射状路径成为加强集体交通的备选方案,而汽车压力不断上升的外围分销走廊则需要有针对性的服务升级,并辅以校准的需求限制。在交叉口层面,内城交叉口和换乘节点适合进行信号优先、接入管理和车次移动控制;时间管理应优先考虑14:00-18:00和18:00之后。
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引用次数: 0
Transport emissions and climate change: Which actions are the hardest? 交通排放和气候变化:哪个行动最难?
IF 3.3 Q3 TRANSPORTATION Pub Date : 2025-11-14 DOI: 10.1016/j.cstp.2025.101660
E.O.D. Waygood , Hamed Naseri , Bobin Wang , Jérôme Laviolette
Climate change is a global challenge, making this a crucial time for altering human behaviors to mitigate its effects. This study investigates the difficulty or ease of different climate change-related behaviors, particularly those associated with transportation. To this end, the Rasch model is employed. This paper also intends to examine the link between those behaviors and a robust measure to evaluate individuals’ environmental behaviors and attitudes, called the Climate Change Stage of Change (CC-SoC). In this regard, a machine learning method ranks various climate change-related behaviors according to their influence on CC-SoC. The findings indicate that transport-based actions are generally among the most challenging to change, with living without a vehicle being the most difficult. Avoiding long-haul flights, using an electric vehicle, and riding an electric-assist bicycle were within the top five determinants of CC-SoC, indicating the strong influence of transport-related behaviors on climate change. The findings of this study are critical for informing transport policy, since they help identify which behavioral shifts are most impactful yet most resistant to change, allowing for more targeted and effective interventions.
气候变化是一项全球性挑战,因此现在是改变人类行为以减轻其影响的关键时刻。本研究调查了不同气候变化相关行为的难度或容易程度,特别是与交通有关的行为。为此,采用了Rasch模型。本文还打算研究这些行为与评估个人环境行为和态度的稳健措施之间的联系,称为气候变化变化阶段(CC-SoC)。在这方面,机器学习方法根据对CC-SoC的影响对各种与气候变化相关的行为进行排名。研究结果表明,以交通为基础的行为通常是最难改变的,而没有交通工具的生活是最困难的。避免长途飞行、使用电动汽车和骑电动辅助自行车是CC-SoC的前五大决定因素,表明交通相关行为对气候变化的影响很大。这项研究的发现对于为交通政策提供信息至关重要,因为它们有助于确定哪些行为转变最具影响力,但最难以改变,从而允许更有针对性和更有效的干预措施。
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引用次数: 0
Evaluation of e-scooter sharing as a feeder mode for public transport in suburban communities in Germany – A mixed methods approach 电动滑板车共享作为德国郊区公共交通的接驳模式的评估-混合方法方法
IF 3.3 Q3 TRANSPORTATION Pub Date : 2025-11-13 DOI: 10.1016/j.cstp.2025.101657
Jan Gödde, Joachim Scheiner
E-scooter-sharing is primarily offered in large cities, where e-scooters are frequently used as a feeder mode for public transport (first and last mile). Nevertheless, critics argue that these services may be redundant in well-connected urban areas and could offer greater value in suburban or peripheral regions, where first/last mile transport is often less flexible, the number of departures of feeder modes is lower and distances to stations are longer. This study evaluates the utilization potential of e-scooter-sharing and the challenges of implementing it in suburban communities in Germany by using a three-part mixed methods approach: we estimate demand through spatial analysis, engage stakeholders in focus groups to discuss implementation strategies, and analyze user behavior and movement patterns in a living lab, in which we test e-scooter-sharing in a suburban town over a two-month period. Results suggest utilization potential in intermodal commuting routes of young inhabitants, with insufficient cycling networks and financial difficulties being the main challenges of adoption. Cooperation between cities and providers is identified as the key to successful adaptation, for establishing parking regulations, and creating an integrated experience of public transport and e-scooter-sharing.
电动滑板车共享主要在大城市提供,在那里,电动滑板车经常被用作公共交通的支线模式(第一英里和最后一英里)。然而,批评人士认为,这些服务在交通发达的城市地区可能是多余的,而在郊区或外围地区可能提供更大的价值,因为这些地区的第一/最后一英里交通通常不太灵活,支线模式的发车次数较少,到车站的距离更长。本研究通过三部分混合方法评估了共享电动滑板车的利用潜力以及在德国郊区社区实施的挑战:我们通过空间分析估计需求,让利益相关者参与焦点小组讨论实施策略,并在生活实验室中分析用户行为和运动模式,其中我们在郊区城镇测试了两个月的共享电动滑板车。结果表明,在自行车网络不足和经济困难是采用多式联运通勤路线的主要挑战的情况下,年轻居民有利用多式联运通勤路线的潜力。城市和供应商之间的合作被认为是成功适应的关键,可以建立停车法规,创造公共交通和电动滑板车共享的综合体验。
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引用次数: 0
Delays in container vessels operations and trade in container terminals: Empirical Insights on Nigerian container terminals 集装箱船运营和集装箱码头贸易的延迟:对尼日利亚集装箱码头的实证见解
IF 3.3 Q3 TRANSPORTATION Pub Date : 2025-11-12 DOI: 10.1016/j.cstp.2025.101655
Chinyeaka Nwokodi Nwoloziri , Ibeawuchi Chibueze Nze , Arbia Hlali
The Nigerian container ports handle with systemic delays, including prolonged ship turnaround times, berth congestion, bureaucratic documentation, inefficient customs procedures, and traffic gridlock, which exacerbate operational inefficiencies. This study investigates the economic impact of vessel delays through a quantitative analysis of secondary data from Nigerian port container terminals (2007–2022), encompassing ship turnaround times, vessel traffic calls, berth occupancy rates, Gross Registered Tonnage (GRT), TEU throughput, and vessel operation tariffs. Employing a log-linear multiple regression model and Analysis of Variance (ANOVA), the research evaluated correlations between delay costs and three critical variables: container trade volume (TEU), ship traffic volume, and GRT of vessels. The results revealed statistically significant positive correlations on Delays in Vessels Operations and Trend of Shipping Operations in Nigerian Container Terminals is significant given R = 0.839527and P-value = 0.019826. The effect of Delay Costs in Vessels Operations on Trend of Container Shipping Operations is significant given (R = 0.764598 and P-value = 0.0169194). The effect of Delay Costs in Vessels Operations on Ship Calls in Nigerian Container Terminals is significant given R = 0.732767 and P = 0.045269. Effect of Delay Costs in Vessels Operations on GRT of Ships handled in Nigerian Container Terminals is significant given R = 0.644546 and P-value = 0.17143. These findings underscore how growing trade volumes and vessel sizes amplify the financial penalties of port inefficiencies. The study attributes these delays to infrastructural constraints, post-concession policy gaps, and procedural bottlenecks. To mitigate economic losses, it advocates strict adherence to a two-day ship turnaround benchmark and systemic reforms targeting digitized customs processes, berth optimization, and road network upgrades. By addressing these challenges, Nigerian ports could reduce delay-related costs.
尼日利亚的集装箱港口面临着系统性的延误,包括船舶周转时间延长、泊位拥堵、官僚文件、海关程序效率低下和交通堵塞,这些都加剧了运营效率低下。本研究通过对尼日利亚港口集装箱码头(2007-2022年)的二手数据进行定量分析,调查船舶延误的经济影响,包括船舶周转时间、船舶交通呼叫、泊位占用率、总注册吨位(GRT)、TEU吞吐量和船舶运营费率。采用对数线性多元回归模型和方差分析(ANOVA),评估了延误成本与集装箱贸易量(TEU)、船舶运输量和船舶GRT三个关键变量之间的相关性。结果显示,在R = 0.839527, p值= 0.019826的情况下,尼日利亚集装箱码头船舶作业延误与航运作业趋势呈显著正相关。船舶作业延误成本对集装箱运输作业趋势的影响显著(R = 0.764598, p值= 0.0169194)。在R = 0.732767和P = 0.045269的条件下,船舶作业延误成本对尼日利亚集装箱码头船舶停靠的影响显著。船舶作业延误成本对尼日利亚集装箱码头船舶处理GRT的影响显著,R = 0.644546, p值= 0.17143。这些发现突显出,不断增长的贸易量和船舶规模如何放大了港口效率低下带来的经济惩罚。该研究将这些延迟归因于基础设施限制、特许后政策差距和程序瓶颈。为了减轻经济损失,它主张严格遵守两天的船舶周转基准,并针对数字化海关流程、泊位优化和道路网络升级进行系统性改革。通过解决这些挑战,尼日利亚港口可以减少与延误相关的成本。
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引用次数: 0
Evaluating transportation’s role in logistics center site selection via AHP: case study of Eastern Black Sea, Turkey 运用层次分析法评价交通运输在物流中心选址中的作用:以土耳其东黑海为例
IF 3.3 Q3 TRANSPORTATION Pub Date : 2025-11-12 DOI: 10.1016/j.cstp.2025.101658
Göknur Berber Narin , Muhammet Vefa Akpınar
Logistics is defined as the process of facilitating the transfer of information, materials, and products between producers and end consumers through the supply chain. The COVID-19 pandemic has further amplified interest in this sector, as people seek to meet their needs with minimal energy and time. This growing demand underscores the transportation factor, which serves as the most crucial link in logistics services.
Although Turkey entered the logistics sector later than its European counterparts, it has been making continuous advancements. In particular, investments in transportation modes and infrastructure have significantly accelerated the sector’s development. However, an assessment of Turkey’s regions reveals a deficiency in logistics centers within the Eastern Black Sea Region.
To address this gap, this study examines Trabzon’s potential to become a logistics center by ranking the provinces of the Eastern Black Sea Region based on transportation priorities using the AHP method. The study first identifies key criteria that enhance logistics efficiency and assigns weights to them. The findings highlight transportation as the most influential factor, scoring 2.096 points, followed by foreign trade (0.935 points), industry (0.910 points), and population (0.277 points).
Additionally, among the provinces in the region, Trabzon ranks highest in terms of priority for establishing a logistics center, with 0.300 points, followed by Giresun (0.213 points), Rize (0.159 points), Artvin (0.114 points), Gumushane (0.103 points), and Bayburt (0.07 points). These results emphasize Trabzon’s strategic advantage and its potential as a regional logistics hub.
物流被定义为通过供应链在生产者和最终消费者之间促进信息、材料和产品转移的过程。COVID-19大流行进一步增强了人们对这一部门的兴趣,因为人们寻求以最少的精力和时间满足自己的需求。这种不断增长的需求强调了运输因素,这是物流服务中最关键的环节。虽然土耳其进入物流业的时间比欧洲国家晚,但它一直在不断进步。特别是,对运输方式和基础设施的投资大大加快了该部门的发展。然而,对土耳其地区的评估显示,东黑海地区的物流中心不足。为了解决这一差距,本研究通过使用AHP方法根据运输优先级对东黑海地区的省份进行排名,研究了特拉布松成为物流中心的潜力。该研究首先确定了提高物流效率的关键标准,并对其进行了权重分配。结果显示,交通是影响最大的因素,得分为2.096分,其次是对外贸易(0.935分)、产业(0.910分)、人口(0.277分)。此外,在该地区的各道中,特拉布宗(0.300分)是建立物流中心的优先级最高的地方,其后依次是吉烈松(0.213分)、日泽(0.159分)、阿尔文(0.114分)、古木山(0.103分)、贝伯特(0.07分)。这些结果强调了特拉布宗的战略优势及其作为区域物流中心的潜力。
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引用次数: 0
Systematic assessment of push and pull initiatives in behavioural responses associated with public transport fares, service frequency, car-related tolls, distance-based road user charges, and parking charges 系统评估与公共交通票价、服务频率、与汽车相关的通行费、基于距离的道路使用者收费和停车费相关的行为反应中的推拉举措
IF 3.3 Q3 TRANSPORTATION Pub Date : 2025-11-11 DOI: 10.1016/j.cstp.2025.101656
David A. Hensher, Edward Wei, Wen Liu
There has been a constant flow of empirical evidence suggesting the likely modal trip impact that stand-alone policy initiatives such as public transport fares or service frequency and road pricing reforms (be it tolls or distance-based charging) have on the change in travel behaviour. While the evidence, typically converted to mean direct elasticity and cross elasticity modal estimates, is informative, there is a dearth of published empirical evidence on elasticities associated with policy initiatives that combine policies such as a public transport fare or service frequency change and a car-related toll and /or distance-based charge and/or parking charges. This paper investigates the one-way trip and arc elasticity impacts of stand-alone policy initiatives and compares the two elasticity effects when push and pull policy initiatives are at play. We find not only that there are asymmetric effects according to whether the policy involves an increase or a decrease, but that the combined policy initiatives suggest very different mean arc elasticity impacts, opening up opportunities for behavioural changes that are not obtained to the same extent from a stand-alone policy initiative. Each policy by itself generally, although not always, has a lower relative elasticity compared to when it is combined with another policy. We use the advanced Metroscan integrated transport and land use strategic model system to obtain the predicted trip changes under various scenarios for 2024 in the Sydney Metropolitan Area.
不断有经验证据表明,单独的政策举措,如公共交通票价或服务频率和道路定价改革(无论是通行费还是基于距离的收费),可能会对旅行行为的变化产生影响。虽然通常转换为平均直接弹性和交叉弹性模式估计的证据具有丰富的信息,但缺乏与政策举措相关的弹性的已发表的经验证据,这些政策举措结合了公共交通票价或服务频率的变化以及与汽车相关的收费和/或基于距离的收费和/或停车收费等政策。本文研究了独立政策举措的单向行程和弧弹性影响,并比较了推式和拉动式政策举措发挥作用时的两种弹性效应。我们发现,根据政策的增加或减少,不仅存在不对称的影响,而且联合政策举措显示出非常不同的平均弧线弹性影响,为行为变化提供了机会,而这些变化无法从单独的政策举措中获得相同的程度。与与另一个策略结合使用相比,每个策略本身通常(尽管并非总是)具有较低的相对弹性。我们使用先进的Metroscan综合交通和土地利用战略模型系统来获得2024年悉尼大都市区不同情景下的预测出行变化。
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引用次数: 0
Modelling future of airport accessibility: synthetic population and discrete choice model approach to UAM and CCAM demand at Brussels airport 机场可达性的未来建模:布鲁塞尔机场UAM和CCAM需求的综合人口和离散选择模型方法
IF 3.3 Q3 TRANSPORTATION Pub Date : 2025-11-10 DOI: 10.1016/j.cstp.2025.101654
Behzad Bamdad Mehrabani , Vincent Henrion , Sebastian Hörl , Nikola Ivanov , Bojana Mirkovic , Juan Blasco , Elke Bossaert
The emergence of Urban Air Mobility (UAM) and Connected, Cooperative and Automated Mobility (CCAM) offers transformative potential for airport accessibility, promising faster and more personalised connections to major air hubs. However, accurately forecasting the demand for these future transport modes remains a key challenge due to their limited real-world presence and reliance on speculative user preferences. This paper presents a robust and flexible methodology for assessing the future modal split of airport access, integrating both current and emerging mobility options within a discrete choice modelling (DCM) framework. Using a nested logit model calibrated on survey data from over 29,000 Belgian passengers at Brussels Airport, we developed a general-coefficient-based utility specification that enables the integration of hypothetical modes such as UAM and CCAM. This model was then applied to a synthetic population of airport passengers generated via iterative proportional fitting and spatial enrichment. By incorporating realistic operational assumptions for UAM and CCAM, we estimated demand under future scenarios. The results indicate that UAM and CCAM could capture 4.7% and 6.8% of airport access trips respectively, with modal shifts primarily originating from taxi and private car users. This demand modelling framework is assumption-agnostic and adaptable, providing a versatile tool for policy analysis and infrastructure planning as these technologies approach deployment. Future applications will benefit from updated data as these services are piloted, supporting more precise and policy-relevant demand estimations.
城市空中交通(UAM)和互联、协作和自动化交通(CCAM)的出现为机场可达性提供了变革性潜力,有望实现与主要航空枢纽之间更快速、更个性化的连接。然而,准确预测这些未来交通方式的需求仍然是一个关键挑战,因为它们在现实世界中的存在有限,并且依赖于投机性的用户偏好。本文提出了一种稳健而灵活的方法,用于评估机场通道的未来模式分裂,在离散选择建模(DCM)框架内整合当前和新兴的移动选项。使用一个嵌套的logit模型,根据来自布鲁塞尔机场29,000多名比利时乘客的调查数据进行校准,我们开发了一个基于通用系数的效用规范,使UAM和CCAM等假设模式能够整合。然后将该模型应用于通过迭代比例拟合和空间富集生成的机场旅客合成人群。通过结合UAM和CCAM的实际操作假设,我们估计了未来情景下的需求。结果表明,UAM和CCAM分别占机场访问行程的4.7%和6.8%,模式转变主要来自出租车和私家车用户。此需求建模框架与假设无关且适应性强,在这些技术接近部署时为政策分析和基础设施规划提供了一个通用工具。随着这些服务的试点,未来的应用程序将受益于更新的数据,支持更精确和与政策相关的需求估计。
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引用次数: 0
Cash, code, and congestion: A case study on MaaS adoption barriers and policy implications in Hanoi 现金、代码和拥堵:河内MaaS采用障碍和政策影响的案例研究
IF 3.3 Q3 TRANSPORTATION Pub Date : 2025-11-08 DOI: 10.1016/j.cstp.2025.101643
Van Chung Hoang
Mobility-as-a-Service (MaaS) is emerging as a paradigm-shifting solution for urban transportation, yet its research and implementation have been largely confined to developed countries. A significant knowledge gap exists regarding its viability in the unique context of developing nations, which are often characterized by fragmented transport systems, cash-dominant economies, and severe traffic congestion. This study addresses this gap by investigating the factors influencing MaaS adoption willingness among university students in Hanoi, Vietnam, a city that epitomizes these challenges. We frame our analysis through a “cash, code, and congestion” lens to dissect the structural and behavioral barriers to adoption. Employing a survey-based methodology with 372 student respondents, this research utilizes Classification and Regression Trees (CART) to develop predictive models for two distinct user segments: private vehicle users and public/shared transport users. The models identify the key determinants of adoption and reveal the detailed decision-making profiles of each group. Our findings reveal a strong latent demand for MaaS, but uncover fundamentally divergent adoption logics between the two segments. For private vehicle users, adoption is primarily driven by their existing digital habits with ride-hailing apps, with financial considerations acting as a secondary factor. Conversely, for public/shared transport users, the practical utility of their daily journey, particularly commute distance, is the most critical predictor. The results underscore that a one-size-fits-all MaaS strategy is unviable. As a conclusion, this study provides empirical evidence for segment-specific pathways to MaaS adoption in a developing country context. We propose that successful MaaS implementation in a Vietnamese context such as Hanoi requires targeted value propositions: focusing on cost-efficiency and superior convenience to attract private users, while emphasizing operational reliability and functional optimization for public transport users. These strategies must be coupled with systemic solutions to overcome the “cash, code, and congestion” barriers, ultimately positioning MaaS as a key enabler of sustainable urban mobility.
移动即服务(MaaS)正在成为城市交通的一种范式转换解决方案,但其研究和实施主要局限于发达国家。发展中国家的交通系统分散、经济以现金为主导、交通严重拥堵,这些国家在发展中国家的独特背景下,其可行性存在着巨大的知识缺口。本研究通过调查影响越南河内大学生采用MaaS意愿的因素来解决这一差距,河内是一个体现这些挑战的城市。我们通过“现金、代码和拥塞”的视角来构建我们的分析,以剖析采用的结构和行为障碍。本研究采用基于调查的方法,对372名学生进行调查,利用分类和回归树(CART)为两个不同的用户群体开发预测模型:私家车用户和公共/共享交通用户。这些模型确定了采用的关键决定因素,并揭示了每个群体的详细决策概况。我们的研究结果揭示了对MaaS的强烈潜在需求,但也揭示了两个部分之间根本不同的采用逻辑。对于私家车用户来说,采用私家车的主要原因是他们现有的使用叫车应用的数字习惯,经济方面的考虑是次要因素。相反,对于公共/共享交通用户来说,他们日常出行的实际效用,尤其是通勤距离,是最关键的预测因素。结果强调,一刀切的MaaS策略是不可行的。作为结论,本研究为发展中国家采用MaaS的特定环节途径提供了经验证据。我们建议,在越南河内等地成功实施MaaS需要有针对性的价值主张:注重成本效益和优越的便利性,以吸引私人用户,同时强调公共交通用户的运营可靠性和功能优化。这些战略必须与系统解决方案相结合,以克服“现金、代码和拥堵”障碍,最终将MaaS定位为可持续城市交通的关键推动者。
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引用次数: 0
Determinants of ride-hailing demand in Latin American metropolises: Case study of Fortaleza, Brazil 拉丁美洲大都市网约车需求的决定因素:以巴西福塔莱萨为例
IF 3.3 Q3 TRANSPORTATION Pub Date : 2025-11-05 DOI: 10.1016/j.cstp.2025.101642
Anderson Yago Sampaio Brito, André Soares Lopes, Carlos Felipe Grangeiro Loureiro
App-based mobility services promoted a paradigm shift in public transportation demand and supply dynamics associated with changes in the perception of accessibility to opportunities. In such a new urban context, this research examines the determinants of ride-hailing demand by developing a theoretical and empirical literature review to support the construction of a causal hypotheses diagram as the basis for running Structural Equation Modeling (SEM) analyses of data from the 2019 Origin-Destination (OD) household survey in Fortaleza, Brazil. Thus, this case study aims to investigate specific factors that shape app-based mobility services usage patterns in a Latin American metropolis. The findings clarify the role of socioeconomic status in influencing app-based travel production, with individuals of higher income demonstrating a propensity towards ride-hailing for compulsory trips, defined as necessary journeys to work or school that follow fixed schedules of entry and exit. Conversely, the presence of car ownership diminishes reliance on ride-hailing for the same purposes, emphasizing the interplay between access to private vehicles and both trip production and length. The case study unveils the significance of accessibility levels in driving the adoption of ride-hailing services, particularly for shorter, non-compulsory trips. These insights confirm the nuanced nature of ride-hailing demand in Latin America and highlight the importance of integrating individual attributes and spatial considerations into urban mobility planning initiatives. Our research provides policymakers and transportation planners with valuable guidance on addressing mobility challenges in similar urban contexts, ultimately aiming to achieve more efficient and sustainable transportation systems.
基于应用程序的移动出行服务促进了公共交通需求和供应动态的范式转变,这与人们对机会可及性的看法的变化有关。在这样一个新的城市背景下,本研究通过发展理论和实证文献综述来研究网约车需求的决定因素,以支持因果假设图的构建,作为对2019年巴西福塔莱萨(Fortaleza)出发地-目的地(OD)家庭调查数据进行结构方程建模(SEM)分析的基础。因此,本案例研究旨在调查影响拉丁美洲大都市基于应用程序的移动服务使用模式的具体因素。研究结果阐明了社会经济地位在影响基于应用程序的旅行产品方面的作用,高收入的个人倾向于在强制性旅行中使用网约车,这种强制性旅行被定义为遵循固定进出站时间表的上班或上学的必要旅程。相反,出于同样的目的,私家车的存在减少了对网约车的依赖,强调了获得私家车与行程数量和长度之间的相互作用。该案例研究揭示了可达性水平在推动采用网约车服务方面的重要性,特别是对于较短的非强制性旅行。这些见解证实了拉丁美洲网约车需求的微妙本质,并强调了将个人属性和空间考虑纳入城市交通规划举措的重要性。我们的研究为政策制定者和交通规划者提供了宝贵的指导,以解决类似城市环境下的交通挑战,最终目标是实现更高效和可持续的交通系统。
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引用次数: 0
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Case Studies on Transport Policy
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