Journal of Urban Mobility最新文献_第6页

Understanding user satisfaction with university parking: A grounded theory approach 理解大学停车的用户满意度：基于理论的方法

IF 2.7 Q1 GEOGRAPHY

Journal of Urban Mobility

Pub Date : 2025-12-01 Epub Date: 2025-07-03 DOI: 10.1016/j.urbmob.2025.100136

Sai Sneha Channamallu , Apurva Pamidimukkala , Sharareh Kermanshachi , Jay Michael Rosenberger , Greg Hladik

Urban growth has intensified parking issues in densely populated settings like university campuses, where demand for parking is high. Existing research on parking management often overlooks the unique challenges of urban universities, especially in adopting suitable technologies and strategies. This study explores parking challenges specific to an urban university campus, offering insights that may inform strategies at similar institutions while recognizing the contextual nature of the findings. Structured interviews with 19 participants, each lasting about 25 min, were analyzed using grounded theory and MAXQDA software through a three-stage coding process. Open coding identified three main themes: parking experience, perception of the parking system, and potential solutions. Axial coding then connected these themes to reveal relationships and patterns, which selective coding refined into a coherent theoretical framework. The study found that personal cars are the preferred mode of transportation due to their convenience, highlighting the need for adequate campus parking. Challenges such as limited space availability, long search times, cost-value disparities, and increasing interest in innovative solutions indicate the necessity for a more efficient, tech-driven, and adaptable parking system. Recommendations include flexible pricing and advanced technologies to address immediate issues. Strategic parking placement and promoting alternative transport are proposed as long-term improvements to reduce demand and enhance campus parking experiences. This study provides valuable insights into transportation issues on university campuses and offers a foundation for developing effective, sustainable parking strategies.

城市发展加剧了大学校园等人口密集地区的停车问题，这些地区对停车的需求很高。现有的停车管理研究往往忽视了城市高校停车管理面临的独特挑战，特别是在采用合适的技术和策略方面。本研究探讨了城市大学校园特有的停车挑战，在认识到研究结果的背景性质的同时，为类似机构的策略提供了见解。对19名参与者进行结构化访谈，每次访谈持续约25分钟，通过三个阶段的编码过程，使用扎根理论和MAXQDA软件进行分析。开放式编码确定了三个主要主题：停车体验、对停车系统的感知和潜在的解决方案。轴向编码然后将这些主题连接起来，揭示关系和模式，选择性编码将其提炼成一个连贯的理论框架。该研究发现，私家车因其方便而成为首选的交通方式，这凸显了对充足校园停车位的需求。有限的可用空间、漫长的搜索时间、成本价值差异以及对创新解决方案日益增长的兴趣等挑战表明，需要一个更高效、技术驱动和适应性更强的停车系统。建议包括灵活的定价和先进的技术来解决眼前的问题。策略性泊车位置和推广替代交通工具是减少需求和提高校园停车体验的长期改进措施。这项研究为大学校园交通问题提供了有价值的见解，并为制定有效、可持续的停车策略提供了基础。

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引用次数: 0

The role of the Digital Participatory Platforms in street experiment processes. Two cases from Italy 数字参与平台在街头实验过程中的作用。两例来自意大利

IF 6.1 Q1 GEOGRAPHY

Journal of Urban Mobility

Pub Date : 2025-12-01 Epub Date: 2025-11-28 DOI: 10.1016/j.urbmob.2025.100171

Paola Pucci, Giovanni Lanza, Giulia Galbiati

Digital Participatory Platforms (DPPs) play a significant role in expanding citizens' opportunities to engage in public debate through their technical agency and crowdsourcing approach. They enable the collection and sharing of opinions, ideas, direct experiences, and data without the spatial, temporal, financial, and practical limitations of traditional, non-digital participatory processes. In the mobility domain, DPPs have been used to improve knowledge of mobility habits and needs, assess the quality of mobility services, and facilitate interaction among stakeholders involved in planning, managing, and implementing mobility solutions. Despite these advantages, DPPs also present various drawbacks and limitations. These stem both from the inherent challenges of managing any public participation process and from the digital nature of such platforms, which require disruptive changes compared to traditional engagement techniques. This paper examines the processes in which DPPs are embedded, as well as the type, structure, design, and functionality of two platforms (Commonplace and Decidim) tested in Bologna and Milan (Italy). It applies five analytical lenses -objectives, management, participation, technology, and effects - to advance understanding of the role of DPPs in supporting the co-creation and evaluation of tactical urbanism experiments. Key lessons highlight the importance of aligning participation goals with the administrative and resource capacity to manage platforms effectively; ensuring continuous management, promotion, and integration with existing local engagement methods; and adopting complementary offline approaches to guarantee inclusivity.

数字参与平台通过其技术代理和众包方法，在扩大公民参与公共辩论的机会方面发挥着重要作用。它们能够收集和分享意见、想法、直接经验和数据，而不受传统的非数字参与式流程在空间、时间、财务和实践方面的限制。在移动领域，dpp已被用于提高对移动习惯和需求的了解，评估移动服务的质量，并促进参与规划、管理和实施移动解决方案的利益相关者之间的互动。尽管有这些优点，dpp也存在各种缺点和局限性。这既源于管理任何公众参与过程的固有挑战，也源于此类平台的数字性质，与传统的参与技术相比，这需要颠覆性的变革。本文考察了dpp嵌入的过程，以及在博洛尼亚和米兰（意大利）测试的两个平台（common和Decidim）的类型、结构、设计和功能。它运用了五个分析视角——目标、管理、参与、技术和效果——来促进对dpp在支持战术城市主义实验的共同创造和评估中的作用的理解。关键的经验教训突出了使参与目标与有效管理平台的行政和资源能力相一致的重要性；确保持续的管理，推广和整合现有的本地参与方法；并采取线下互补的方式来保证包容性。

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引用次数: 0

Acceptability of a mobility pricing scheme: Reducing externalities in urban transportation 交通定价方案的可接受性：减少城市交通的外部性

IF 6.1 Q1 GEOGRAPHY

Journal of Urban Mobility

Pub Date : 2025-12-01 Epub Date: 2025-08-13 DOI: 10.1016/j.urbmob.2025.100141

Filippos Adamidis, Mohamed Abouelela, Constantinos Antoniou

The growing reliance on private motorised transportation in urban areas has been associated with societal effects such as congestion, adverse effects of climate change, health effects from traffic emissions and crashes. Road pricing has long been used as a means to manage road traffic or to raise revenue for new infrastructure. Nonetheless, it is not only cars that produce external effects but also other modes. This study introduces an innovative mobility pricing scheme to encourage a shift from modes with high external costs to more sustainable alternatives by internalising transportation’s external costs. It then explores the factors explaining the public’s willingness to adjust travel behaviour in order to mitigate those externalities. For this purpose, an online survey was conducted in metropolitan Munich, Germany, gathering data (N = 1013) about respondents’ reactions to the mobility pricing scheme. Using exploratory factor analysis and discrete choice modelling, we confirmed the prevalence of attitudes and travel behaviour over sociodemographic characteristics in explaining the acceptability of the proposed scheme. Furthermore, an elasticity analysis of explanatory variables revealed that latent attitudes may be the most important determinant of acceptability but also associated with the highest uncertainty. Although this study provides only first insights into the complex subject of mobility pricing, which intends to internalise the external costs of cars, public transport, cycling, walking and shared mobility, it could be helpful to decision-makers when refining relevant policies and opens the discussion about their applicability.

城市地区对私人机动交通的日益依赖已与诸如拥堵、气候变化的不利影响、交通排放和撞车事故对健康的影响等社会影响相关联。长期以来，道路收费一直被用作管理道路交通或为新基础设施增加收入的一种手段。然而，产生外部影响的不仅仅是汽车，还有其他模式。本研究引入了一种创新的移动定价方案，通过内部化运输的外部成本，鼓励从高外部成本的模式转向更可持续的替代方案。然后，它探讨了公众愿意调整旅行行为以减轻这些外部性的因素。为此，我们在德国大都市慕尼黑进行了一项在线调查，收集了受访者对出行定价方案的反应数据（N = 1013）。利用探索性因素分析和离散选择模型，我们证实了态度和旅行行为在解释提议方案的可接受性方面的社会人口特征的普遍性。此外，解释变量的弹性分析表明，潜在态度可能是可接受性的最重要决定因素，但也与最高的不确定性相关。虽然这项研究只提供了对交通定价这一复杂主题的初步见解，它旨在将汽车、公共交通、骑自行车、步行和共享交通的外部成本内部化，但它可能有助于决策者完善相关政策，并开启对其适用性的讨论。

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引用次数: 0

Rail transit ridership changes in COVID-19: Lessons for station area planning in California 2019冠状病毒病期间的轨道交通客流量变化：加州车站区域规划的经验教训

IF 6.1 Q1 GEOGRAPHY

Journal of Urban Mobility

Pub Date : 2025-12-01 Epub Date: 2025-09-23 DOI: 10.1016/j.urbmob.2025.100153

Meiqing Li , Daniel A. Rodriguez , Susie Pike , Michael McNally

Emerging evidence suggests that the recovery of transit ridership post-COVID has been uneven, especially for rail transit. This study aims to understand the station area land use, built form, and transit network characteristics that explain station-level changes in transit ridership pre- and post-COVID, and explores the degree to which those changes are rail transit-specific or the result of overall changes in visits to station areas. Specifically, we examine ridership changes between 2019 and 2021 for 242 rail stations belonging to the Bay Area Rapid Transit (BART), San Diego Metropolitan Transit System (MTS), Sacramento Regional Transit (SACRT), and LA Metro and associate those changes with the built environment, socio-demographics, and rail network characteristics around each station using regression analysis. We also compare these changes in ridership to overall changes in activity aggregated by station area type. We find there was an overall decrease in station-level ridership of 72 %, but changes were not uniform, with 92 stations decreasing more and 152 stations decreasing less. We also find that ridership declined more drastically than overall station area activity across all four rail systems, which implies that rail transit riders were more sensitive to pandemic-related changes than other commuters. The findings suggest that a rail transit ridership recovery strategy should strategize to reinvent and reinforce downtowns as destinations, and shift rail transit services to appeal to non-commute travel, as well as enhance bike and pedestrian accessibility around stations.

新出现的证据表明，疫情后公共交通客流量的恢复并不均衡，尤其是轨道交通。本研究旨在了解车站区域的土地利用、建筑形式和交通网络特征，这些特征解释了疫情前后车站层面的交通客流量变化，并探讨了这些变化在多大程度上是轨道交通特有的，还是车站区域客流量总体变化的结果。具体而言，我们研究了2019年至2021年间湾区捷运（BART）、圣地亚哥大都会交通系统（MTS）、萨克拉门托地区交通（SACRT）和洛杉矶地铁的242个火车站的客流量变化，并使用回归分析将这些变化与每个车站周围的建筑环境、社会人口统计学和铁路网络特征联系起来。我们还将这些客流量的变化与按车站区域类型汇总的总体活动变化进行了比较。我们发现车站客流量总体下降了72%，但变化并不均匀，有92个车站下降较多，152个车站下降较少。我们还发现，在所有四个铁路系统中，客流量的下降幅度大于车站区域的整体活动，这意味着轨道交通乘客比其他通勤者对与大流行相关的变化更敏感。研究结果表明，轨道交通客流量恢复策略应制定策略，重塑和加强市中心作为目的地，转变轨道交通服务，以吸引非通勤旅行，并加强车站周围的自行车和行人可达性。

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引用次数: 0

Media influence, trust, and perceived risks in passengers’ intentions to discontinue the ride-hailing services in Lahore, Pakistan 在巴基斯坦拉合尔，媒体影响、信任和乘客停止网约车服务的意图的感知风险

IF 2.7 Q1 GEOGRAPHY

Journal of Urban Mobility

Pub Date : 2025-12-01 Epub Date: 2025-07-11 DOI: 10.1016/j.urbmob.2025.100137

M. Aamir Basheer , Aqsa Mehmood , Farrukh Baig , Muhammad Abdullah

The popularity of ride-hailing services has gained momentum in recent years in developing countries due to the lack of proper public transport infrastructure to meet travel demand. However, security and safety issues may influence customers’ willingness to use ride-hailing services. To understand passengers’ intentions to discontinue the use of ride-hailing services, this study developed twelve hypotheses. Using partial least square structural equation modeling, the hypotheses of this study were tested using data collected from Lahore, Pakistan, through a questionnaire survey. Results highlight the factors contributing to discontinuing ride-hailing services, including trust, attitude, psychological risks, functional and financial risks, media influence, and shared prosperity. According to the results, psychological and perceived financial and functional risks significantly positively affect intention to discontinue ride-hailing services, while trust negatively affects users intending to discontinue services. Besides, media influence also positively affected the intention to discontinue the usage of ride-hailing services. The findings of the study indicate the need for new marketing strategies to tackle negative views in the media about ride-hailing services. The study also highlighted the need to develop passengers’ trust in ride-hailing platforms and the drivers to discourage the shift from using ride-hailing services. The study provides valuable insights for service providers and policymakers to encourage the usage of ride-hailing services.

近年来，由于缺乏适当的公共交通基础设施来满足出行需求，网约车服务在发展中国家的普及势头强劲。然而，安保和安全问题可能会影响客户使用网约车服务的意愿。为了了解乘客停止使用网约车服务的意图，本研究提出了12个假设。利用偏最小二乘结构方程模型，通过问卷调查收集了巴基斯坦拉合尔的数据，对本研究的假设进行了检验。研究结果强调了导致网约车服务中断的因素，包括信任、态度、心理风险、功能和财务风险、媒体影响和共享繁荣。根据研究结果，心理风险和感知到的财务和功能风险显著地积极影响了用户停止网约车服务的意愿，而信任则对用户打算停止服务产生负面影响。此外，媒体的影响也对网约车的停止使用意向产生了积极的影响。研究结果表明，需要新的营销策略来解决媒体对网约车服务的负面看法。该研究还强调，有必要培养乘客对网约车平台的信任，并鼓励司机放弃使用网约车服务。该研究为服务提供商和政策制定者提供了鼓励使用网约车服务的宝贵见解。

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引用次数: 0

Pedestrian stress perception in the age of e-scooters: An epistemological and thematic analysis of Tel Aviv 电动滑板车时代的行人压力感知：特拉维夫的认识论和主题分析

IF 6.1 Q1 GEOGRAPHY

Journal of Urban Mobility

Pub Date : 2025-12-01 Epub Date: 2025-08-15 DOI: 10.1016/j.urbmob.2025.100145

M. Specktor , Y. Shiftan

As cities integrate e-scooters in line with the World Economic Forum’s vision for livable, sustainable urban environments, pedestrians are increasingly confronting new challenges in shared spaces. This study takes a multidisciplinary perspective and an epistemological approach to explore the cognitive and emotional aspects of pedestrian experiences with e-scooter traffic. By using stress perception as a key measure, the focus shifts from traditional safety concerns to wider considerations of emotional well-being in urban mobility. This research may help shape more inclusive, accessible, and pedestrian-friendly urban active mobility systems.

Prompted by concerns from the Tel Aviv Municipality and the Israeli National Road Safety Authority, 192 survey responses were analyzed. Findings show that 70% of participants consider pedestrian separation and sidewalk width important, highlighting challenges in navigating mixed-use paths. About 60% cited micromobility paths and road traffic as stressors, often seen as beyond pedestrian control. Although less immediate than factors like shade or air pollution, these elements impact walking experiences. Older participants emphasized accessibility, and women reported increased stress in crowded areas. Preferred solutions include wider, shaded, and well-lit sidewalks, dedicated micromobility lanes, and policies aimed at improving safety and easing pedestrian stress.

随着城市将电动滑板车融入到世界经济论坛对宜居、可持续城市环境的愿景中，行人在共享空间中面临着越来越多的新挑战。本研究采用多学科视角和认识论方法来探索电动滑板车交通中行人的认知和情感体验。通过使用压力感知作为关键衡量标准，焦点从传统的安全问题转移到城市交通中更广泛的情感健康考虑。这项研究可能有助于塑造更具包容性、可达性和行人友好型的城市主动交通系统。在特拉维夫市政府和以色列国家道路安全局的关注下，对192份调查问卷进行了分析。调查结果显示，70%的参与者认为行人间距和人行道宽度很重要，这凸显了在混合用途道路上导航的挑战。约60%的人认为微移动路径和道路交通是压力源，通常被认为是行人无法控制的。尽管这些因素没有阴影或空气污染等因素那么直接，但它们会影响步行体验。年长的参与者强调无障碍，而女性报告说在拥挤的地方压力更大。首选的解决方案包括更宽、阴凉、光线充足的人行道、专用的微交通车道，以及旨在提高安全性和缓解行人压力的政策。

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引用次数: 0

Lane merging in autonomous vehicle urban driving using reinforcement learning models 基于强化学习模型的自动驾驶汽车城市驾驶车道合并

IF 6.1 Q1 GEOGRAPHY

Journal of Urban Mobility

Pub Date : 2025-12-01 Epub Date: 2025-09-18 DOI: 10.1016/j.urbmob.2025.100150

El houssine Amraouy , Ali Yahyaouy , Hamid Gualous , Hicham Chaoui , Sanaa Faquir

Autonomous vehicle lane merging is a critical task in urban driving, requiring precise navigation through complex and dynamic traffic environments. Challenges such as roadworks, lane reductions, merging from gas stations, low-visibility conditions, and crowded highway on-ramps demand continuous improvements in autonomous driving systems. Effective navigation in these situations, particularly at multi-lane junctions, merging onto high-speed roads, avoiding obstacles, and managing emergency vehicle lanes, requires robust decision-making that can adapt to changing road conditions. This paper compares three popular reinforcement learning (RL) algorithms—Proximal Policy Optimization (PPO), Advantage Actor-Critic (A2C), and Deep Q-Learning (DQL)—to address these challenges. Our findings show that in environments with specific decision points, DQL excels in tasks like lane reduction and obstacle avoidance due to its value-based approach. The A2C model, as an actor-critic policy, is particularly effective in dynamic environments, enabling the optimization of urban traffic control and merging at roundabouts. PPO, known for its policy optimization capabilities, offers a robust solution by balancing safety, efficiency, and adaptability, particularly in complex situations such as high-speed merging and low-visibility conditions. The simulation results confirm that DQL, A2C, and PPO collectively enhance autonomous vehicle performance by improving navigation capabilities, increasing safety, and adapting more effectively to the complexities of urban traffic environments. This work contributes valuable insights into the application of RL for real-world autonomous driving, providing a detailed comparative evaluation that supports the selection of algorithms tailored to specific driving tasks.

自动车道合并是城市驾驶中的一项关键任务，需要在复杂动态的交通环境中进行精确导航。道路工程、车道减少、从加油站合并、低能见度条件和拥挤的高速公路匝道等挑战都要求自动驾驶系统不断改进。在这些情况下，特别是在多车道路口、并入高速公路、避开障碍物和管理紧急车辆车道时，有效的导航需要能够适应不断变化的路况的强大决策能力。本文比较了三种流行的强化学习（RL）算法——近端策略优化（PPO）、优势行为者批评家（A2C）和深度q -学习（DQL）——来解决这些挑战。我们的研究结果表明，在具有特定决策点的环境中，由于其基于值的方法，DQL在车道减少和避障等任务中表现出色。A2C模型作为一种行为者批评策略，在动态环境中特别有效，可以优化城市交通控制和环形交叉路口的合并。PPO以其策略优化功能而闻名，它通过平衡安全性、效率和适应性提供了一个强大的解决方案，特别是在高速合并和低能见度条件等复杂情况下。仿真结果证实，DQL、A2C和PPO通过改善导航能力、提高安全性以及更有效地适应城市交通环境的复杂性，共同提高了自动驾驶汽车的性能。这项工作为强化学习在现实世界自动驾驶中的应用提供了有价值的见解，提供了详细的比较评估，支持针对特定驾驶任务量身定制的算法选择。

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引用次数: 0

Data-driven methodology for identifying vehicle-to-grid parking regions in urban areas 识别城市地区车辆到电网停车区域的数据驱动方法

IF 6.1 Q1 GEOGRAPHY

Journal of Urban Mobility

Pub Date : 2025-12-01 Epub Date: 2025-11-16 DOI: 10.1016/j.urbmob.2025.100161

Antonio Comi, Eskindir Ayele Atumo

The transition of mobility to electrification resulted in a surge of electric vehicles (EVs) and an imbalance in demand and supply of electricity. In remedy, vehicle-to-grid (V2G) technology has been developed to balance and optimize energy use by integrating EVs and the electric grid. However, its implementation requires understanding the spatial and temporal patterns of demand and aggregation of EVs. In light of that, this study devises a multistage methodology that implements a data-driven approach to identify potential V2G parking zones and develops a localized Poisson model to characterize influence factors of parking duration. A real-case scenario is investigated, and a potential region for V2G is identified based on aggregated parking characteristics through the use of floating car data (FCD). The characterization, in average terms, shows that a unit increment in building footprint area, population, and area of existing parking lots entails a positive but insignificant effect on the expected parking duration. Similarly, an increase in duration is found to be related to the number of: hospitality, entertainment, food and beverage activities; retail, service, and financial centers; education, science, and research centers. On the other hand, the density of roads, a higher number of cultural places, community, and medical facilities are found to reduce the aggregated duration. Overall, the findings are expected to offer a valuable resource for parking infrastructure planners and grid operators, and contribute to the small pool of literature on V2G vehicle aggregation.

从移动到电气化的转变导致电动汽车的激增和电力供需的不平衡。为了解决这个问题，汽车到电网（V2G）技术已经被开发出来，通过整合电动汽车和电网来平衡和优化能源使用。然而，它的实施需要了解电动汽车需求和聚集的时空模式。鉴于此，本研究设计了一种多阶段方法，实现了数据驱动的方法来识别潜在的V2G停车区域，并开发了一个局部泊松模型来表征停车时间的影响因素。研究了一个真实场景，并通过使用浮动汽车数据（FCD），基于聚合停车特征确定了V2G的潜在区域。从平均来看，建筑足迹面积、人口和现有停车场面积的单位增量对期望停车时间的影响为正，但不显著。同样，持续时间的增加与以下活动的数量有关：招待、娱乐、食品和饮料活动；零售、服务和金融中心；教育、科学和研究中心。相反，如果道路密集，文化场所、社区、医疗设施较多，则可以缩短总时间。总体而言，研究结果有望为停车基础设施规划者和电网运营商提供宝贵的资源，并为V2G车辆聚集的少量文献做出贡献。

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引用次数: 0

Delineating potential DRT operating areas: An origin–destination clustering approach 划定潜在的DRT操作区域：一种始发目的地聚类方法

IF 2.7 Q1 GEOGRAPHY

Journal of Urban Mobility

Pub Date : 2025-12-01 Epub Date: 2025-07-17 DOI: 10.1016/j.urbmob.2025.100135

Hussein Mahfouz , Malcolm Morgan , Eva Heinen , Robin Lovelace

Investment in Demand-Responsive Transport (DRT) has emerged as a sustainable transport intervention option for areas that are traditionally hard to serve by high frequency public transport. When used as a first- and last-mile feeder, DRT has the potential to reduce car dependency and enhance access to the wider network. However, many DRT schemes fail—often due to overly flexible, poorly targeted service areas that do not align with actual travel patterns, making efficient pooling difficult. While planners may already have a general sense of where DRT might be useful, there is limited guidance on how to identify precise operating zones based on spatiotemporal demand. This paper presents a method for identifying potential DRT service areas using spatial clustering of origin–destination (OD) flows. We apply the method in Leeds, UK, focusing on OD pairs with poor public transport supply and low potential demand. The approach identifies spatial clusters where demand is both underserved and sufficiently concentrated to support DRT operation. By narrowing service areas to zones where pooling is more likely and where DRT complements rather than competes with fixed-route services, the method helps address two key challenges in DRT planning. The results offer a reproducible, data-driven input for delineating preliminary DRT service areas—supporting strategic planning, integration with downstream agent-based models, and further refinement through local knowledge. The method provides a foundation for future work on designing DRT services that complement the public transport network, particularly in low-density urban peripheries.

对需求响应型交通（DRT）的投资已成为传统上难以通过高频公共交通服务的地区的可持续交通干预选择。当用作第一英里和最后一英里的馈线时，DRT有可能减少对汽车的依赖，并增加对更广泛网络的接入。然而，许多DRT计划失败了——通常是由于过于灵活，服务区域定位不佳，与实际的出行模式不一致，使得有效的汇集变得困难。虽然规划者可能已经大致了解DRT在哪些地方可能有用，但关于如何根据时空需求确定精确的作业区域的指导有限。本文提出了一种利用OD流空间聚类识别潜在DRT服务区的方法。我们将该方法应用于英国利兹，重点关注公共交通供应差、潜在需求低的OD对。该方法确定了需求既得不到充分满足又足够集中以支持DRT运作的空间集群。通过将服务区域缩小到更有可能汇集服务的区域，以及DRT与固定路线服务互补而不是竞争的区域，该方法有助于解决DRT规划中的两个关键挑战。研究结果为划定初步DRT服务区域提供了可重复的数据驱动输入，支持战略规划，与下游基于代理的模型集成，并通过本地知识进一步改进。该方法为未来设计DRT服务的工作提供了基础，以补充公共交通网络，特别是在低密度城市边缘地区。

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引用次数: 0

Still on track for electrification? A qualitative comparative analysis of e-mobility policy mixes in 14 European cities 电气化仍在进行中？对 14 个欧洲城市电动交通政策组合的定性比较分析

IF 2.7 Q1 GEOGRAPHY

Journal of Urban Mobility

Pub Date : 2025-06-01 Epub Date: 2025-04-12 DOI: 10.1016/j.urbmob.2025.100114

Tobias Held , Lasse Gerrits

A major concern for policymakers in European cities is to identify the right policy mix that promotes the diffusion of battery electric vehicles (BEV's). Existing research focuses mainly on the effect of fiscal policies at the national, aggregated level. Consequently, less is known about policy mixes that include monetary and non-monetary policies implemented at both the national and local level. Building on prior research, we deploy a two-step fuzzy-set Qualitative Comparative Analysis (fsQCA) of BEV policies in 14 European cities to identify policy mixes that successfully promote the urban adoption of BEV's.

We find two policy mixes that promote BEV uptake. First, recurring monetary and non-monetary policies that address behavioral aspects of BEV-usage at the local level in conjunction with monetary incentives for home and workplace charging points as well as on-street residential charging points successfully propel BEV uptake. Second, the presence of monetary incentives for home and workplace charging points, as well as on-street residential charging points in conjunction with policies disincentivizing conventional car usage promote the adoption of BEV's.

Our study shows that BEV policies must be tailored carefully across different policy levels and individually to BEV-user contexts in cities. QCA provides a helpful tool for evaluating BEV policy mixes.

对于欧洲城市的政策制定者来说，一个主要问题是确定正确的政策组合，以促进纯电动汽车（BEV）的推广。现有的研究主要集中在国家总体财政政策的影响上。因此，人们对包括在国家和地方一级执行的货币和非货币政策在内的政策组合知之甚少。在先前研究的基础上，我们对14个欧洲城市的电动汽车政策进行了两步模糊集定性比较分析（fsQCA），以确定成功促进城市采用电动汽车的政策组合。我们发现了两种促进纯电动汽车吸收的政策组合。首先，在地方层面解决电动汽车使用行为方面的经常性货币和非货币政策，以及对家庭和工作场所充电点以及街道住宅充电点的货币激励，成功地推动了电动汽车的普及。其次，对家庭和工作场所充电站的货币激励，以及街道上的住宅充电站，再加上限制传统汽车使用的政策，促进了纯电动汽车的采用。我们的研究表明，纯电动汽车政策必须在不同的政策层面上精心定制，并根据城市纯电动汽车用户的具体情况量身定制。QCA为评估纯电动汽车政策组合提供了一个有用的工具。

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引用次数: 0