Multimodal Transportation最新文献_第4页

Optimizing maritime transport schedule recovery strategies: a novel approach for speeding up and port-skipping in case of disruption 优化海上运输调度恢复策略：在中断情况下加速和跳港的新方法

Multimodal Transportation

Pub Date : 2025-04-24 DOI: 10.1016/j.multra.2025.100233

Rouzbeh Purshamsian, S.M.J. Mirzapour Al-e-Hashem, Akbar Esfahanipour, Pouria Tajasob

In case of disruption to the liner-shipping schedule, vessels cannot arrive at port calls on schedule, which creates a loss in service quality and credibility with a simultaneous increase in operating costs. Liner-shipping companies usually adopt two significant strategies: speeding up and skipping port calls to reduce such issues. This paper presents a mixed-integer nonlinear programming model for the simultaneous use of speed-up and port-skipping strategies for schedule recovery. The model, by taking into consideration lost revenue and the costs of transshipment for skipped ports, departs from the traditional cost-minimization approach by prioritizing profit maximization. It incorporates strategies for speed-up and port-skipping with loading and unloading variables in the process of optimally determining port calls as per demand and profitability. Decision variables on alternative port selections allow multiport alternatives that consider delays and transshipment costs. The nonlinear model is linearized using exact and approximate techniques and solved using CPLEX software. For large-scale cases, a self-learning particle swarm optimization algorithm is employed. Several test problems demonstrate the effectiveness of the metaheuristic. A real-world case is used to validate the model, showing its capability to derive optimal routes and schedules through the concurrent use strategies. The results show that the proposed model minimizes time deviations and operational losses. Moreover, sensitivity analysis highlights that while speed-up is adequate for shorter delays and less viable with high fuel costs, skipping strategies complement speed-up under significant delays, reinforcing the importance of integrated recovery strategies to address disruptions in the maritime transportation industry.

班轮运输时间表一旦中断，船舶就不能按时到达港口，这就造成了服务质量和信誉的损失，同时也增加了运营成本。班轮运输公司通常采取两种重要的策略：加速停靠和不停靠港口，以减少此类问题。本文提出了同时使用加速和跳端口策略进行调度恢复的混合整数非线性规划模型。该模型考虑了收入损失和跳过港口的转运成本，摒弃了传统的成本最小化方法，优先考虑了利润最大化。在根据需求和盈利能力最优地确定港口呼叫的过程中，它结合了加速和端口跳过策略以及装载和卸载变量。备选港口选择的决策变量允许考虑延迟和转运成本的多港口备选方案。采用精确和近似技术对非线性模型进行线性化，并利用CPLEX软件进行求解。对于大规模情况，采用自学习粒子群优化算法。几个测试问题证明了元启发式的有效性。通过一个实际案例验证了该模型，展示了其通过并发使用策略推导出最优路线和调度的能力。结果表明，所提出的模型最大限度地减少了时间偏差和操作损失。此外，敏感性分析强调，虽然加速适用于较短的延误，并且在高燃料成本的情况下不太可行，但跳过策略可以补充严重延误情况下的加速，从而加强了综合恢复策略对解决海上运输中断问题的重要性。

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引用次数: 0

Investigating factors that influence the frequency of ride hailing use among university students in Banda Aceh, Indonesia 调查影响印尼班达亚齐大学生网约车使用频率的因素

Multimodal Transportation

Pub Date : 2025-04-23 DOI: 10.1016/j.multra.2025.100231

Fadhlullah Apriandy, Lulusi Lulusi, Ruhdi Faisal, Juliana Fisaini, Luthfi Chaliqi Taufiq, Aqlima Putri

The widespread deployment of information and communication technology (ICT) has allowed ride hailing services to grow exponentially over the last few years. This study aims to investigate ride hailing use frequency among university students in Banda Aceh, Indonesia. The city offers unique characteristics since it has limited public transport facilities, a growing number of vehicle ownership, and traffic dominated by motorcycles. Ride hailing services in this city are predominantly motorcycle-based, hence they could potentially have substitution effects on private vehicle use and ownership. This study focused on university students because their travel behaviour often differs from general public, and they form the majority users of ride hailing services. Ordinal logistic regression was employed, drawing from 219 valid responses from a survey disseminated in 2023. The variables explored include individual and household characteristics, travel attributes, and perceptions on ride hailing services. It was found that the most significant factors that encourage students to frequently use ride hailing services include working part-time, having high allowance, perceiving good level of convenience and service. On the other hand, attributes that have the biggest effects in discouraging ride hailing use include low travel cost, sitting in 5th semester or later, and living in a private house. This study offers insights into ride hailing behaviour in the context of a city with limited public transport facilities and severe motorcycle composition, which can help regulators and operators to improve policies around the platforms.

信息和通信技术（ICT）的广泛部署使得网约车服务在过去几年中呈指数级增长。本研究旨在调查印尼班达亚齐地区大学生网约车使用频率。由于公共交通设施有限，机动车拥有量不断增加，交通以摩托车为主，这座城市具有独特的特点。这个城市的网约车服务主要以摩托车为基础，因此它们可能会对私家车的使用和所有权产生替代作用。这项研究的重点是大学生，因为他们的出行行为往往不同于一般公众，他们是网约车服务的主要用户。采用有序逻辑回归，从2023年发布的一项调查中获得219份有效回复。研究的变量包括个人和家庭特征、旅行属性和对网约车服务的看法。研究发现，鼓励学生频繁使用网约车的最重要因素包括兼职、高津贴、感知到良好的便利性和服务水平。另一方面，对网约车使用影响最大的因素包括出行成本低、上第五学期或更晚、住在私人住宅。这项研究提供了在公共交通设施有限、摩托车占比严重的城市背景下的叫车行为的见解，可以帮助监管机构和运营商改善平台周围的政策。

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引用次数: 0

Autonomous vehicle fleet operations with constrained entropy-based dynamic autonomous vehicle routing: Insights for environmentally conscious shared mobility 基于约束熵的动态自动驾驶车辆路线的自动驾驶车队操作：对环境意识的共享交通的见解

Multimodal Transportation

Pub Date : 2025-04-23 DOI: 10.1016/j.multra.2025.100236

Paul (Young Joun) Ha , Monika Filipovska , Runjia Du , Samuel Labi , Sikai Chen

With growing concerns over urban congestion and its associated economic, environmental, and societal costs, innovative solutions are urgently needed. Autonomous vehicles (AVs) offer a promising opportunity to improve urban transportation efficiency, safety, and sustainability. This study introduces a novel framework, DRL-CEDAR, which combines deep reinforcement learning (DRL) for optimizing AV acceleration and a dynamic routing algorithm, Constrained Entropy-based Dynamic AV Routing (CEDAR), to strategically guide AVs through urban traffic networks. The DRL module trains AVs to reduce emissions and fuel consumption while increasing vehicle speeds, while the CEDAR module enables AVs to interact with human-driven vehicles (HDVs) to mitigate network-wide congestion. Simulation results on a midtown Manhattan network demonstrate that even with a 10% AV adoption rate, DRL-CEDAR achieves reductions of 34% in CO emissions, 11% in CO₂ emissions, and 78% in vehicle waiting times compared to conventional routing methods. These findings underscore the potential of DRL-CEDAR to significantly improve urban traffic conditions and support sustainable mobility goals.

随着人们对城市拥堵及其相关的经济、环境和社会成本的日益关注，迫切需要创新的解决方案。自动驾驶汽车（AVs）为提高城市交通效率、安全性和可持续性提供了一个充满希望的机会。本研究引入了一个新的框架DRL-CEDAR，该框架结合了用于优化自动驾驶汽车加速的深度强化学习（DRL）和基于约束熵的动态自动驾驶汽车路由（CEDAR）算法，以策略性地引导自动驾驶汽车通过城市交通网络。DRL模块对自动驾驶汽车进行训练，以减少排放和燃油消耗，同时提高车速，而CEDAR模块使自动驾驶汽车能够与人类驾驶车辆（HDVs）互动，以缓解网络范围内的拥堵。曼哈顿中城网络的模拟结果表明，与传统路线方法相比，即使自动驾驶采用率为10%，DRL-CEDAR也能减少34%的CO排放，11%的CO2排放，78%的车辆等待时间。这些发现强调了DRL-CEDAR在显著改善城市交通状况和支持可持续移动目标方面的潜力。

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引用次数: 0

Resilience assessment for bus-metro multimodal networks considering various attacking scenarios 考虑各种攻击场景的公交-地铁多模式网络弹性评估

Multimodal Transportation

Pub Date : 2025-04-23 DOI: 10.1016/j.multra.2025.100238

Wenjun Jia , Ke Zhang , Xiaolei Ma , Meng Li

Multimodal transportation systems significantly enhance travel convenience but also introduce vulnerabilities. Disruptions in one segment can cascade across the network, compromising overall network performance. These disruptions, often stemming from diverse attack scenarios, highlight the critical need to study and enhance resilience in transportation networks. This paper introduces a resilience assessment model that considers the characteristics of abrupt events in passenger networks. A series of attack scenarios are set up, categorized by the extent of node capability degradation, the number and types of nodes subjected to attack, and the duration of the attack. Focusing on Beijing's bus-metro multimodal network, the results show that in certain scenarios, recovery performance is worse when passengers transfer to both nearby bus and subway stations after a subway station attack, compared to transferring only to bus stations. This is due to longer walking transfer times and higher passenger volumes at subway stations, which increase flow delays and risk cascading failures. Furthermore, off-peak node failures also worsen network performance due to reduced scheduling frequency. Consequently, the entire transportation system requires an extended recovery period. These insights are critical for informing targeted emergency recovery strategies in the aftermath of public transportation disruptions.

多式联运系统大大提高了出行便利性，但也带来了脆弱性。一个网段的中断可能会波及整个网络，从而影响整个网络的性能。这些中断通常源于不同的攻击场景，凸显了研究和增强交通网络弹性的迫切需要。本文介绍了考虑突发事件特征的客运网络弹性评估模型。根据节点能力下降的程度、受攻击节点的数量和类型、攻击持续的时间，设置一系列攻击场景。以北京公交-地铁多式联运网络为研究对象，研究结果表明，在某些情况下，地铁站遇袭后，乘客同时换乘附近公交和地铁时，乘客的恢复性能比仅换乘公交车站时更差。这是由于地铁站的步行换乘时间更长，客流量更大，这增加了流量延误和连锁故障的风险。此外，由于调度频率降低，非高峰节点故障也会降低网络性能。因此，整个运输系统需要延长恢复期。这些见解对于在公共交通中断后制定有针对性的紧急恢复战略至关重要。

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引用次数: 0

Evaluating defensive driving behaviour based on safe distance between vehicles: A case study using computer vision on UAV videos at urban roundabout 基于车辆安全距离的防御性驾驶行为评估：城市环岛无人机视频计算机视觉案例研究

Multimodal Transportation

Pub Date : 2025-04-22 DOI: 10.1016/j.multra.2025.100227

Yagnik M. Bhavsar , Mazad S. Zaveri , Mehul S. Raval , Shaheriar B. Zaveri

While driving, maintaining a sufficient distance helps reduce collision risk. A time gap of two or three seconds on urban roads from a vehicle ahead is advised in defensive driving. The scenario becomes even more challenging in densely populated and developing countries because of limited road infrastructure, lane indiscipline, and heterogeneous traffic. The safe distance between vehicles and the driver’s reaction can be used as surrogate safety measures (SSMs) to evaluate defensive driving behaviour. This paper presents a case study evaluating defensive driving behaviour using the vision-based methodology and UAV video. This paper proposes two novel SSMs based on distance and acceleration and studies defensive driving behaviour, such as “for how long did a vehicle keep driving under another vehicle’s blind spots?” and “how is a vehicle driving (an interaction pattern) when another vehicle ahead is in its stopping distance range?.” Finally, each driver’s star rating depends on their interactions with other vehicles. We observed that around 48 % of the vehicles did not follow defensive driving practices. In our vehicle inter-class interaction analyses, we also found 16.6 % Rear-End, 6.3 % Side-Swipe, and 1.5 % Angled collision risks occurred between car-car, car-car, and 2Wheeler(2W)-car, respectively. Our methodology could help traffic law enforcement agencies and policy-makers elevate road traffic safety by taking counter-measures against the low-star vehicle categories in developing countries. Example videos of star rating are available on https://www.youtube.com/@YagnikBhavsar.

在驾驶时，保持足够的距离有助于减少碰撞风险。在城市道路上，防守型行驶时，建议与前方车辆保持2 ~ 3秒的时间差。在人口稠密的发展中国家，由于道路基础设施有限、车道不规范和交通混杂，这种情况更具挑战性。车辆之间的安全距离和驾驶员的反应可以作为替代安全措施（SSMs）来评估防御性驾驶行为。本文介绍了一个使用基于视觉的方法和无人机视频评估防御性驾驶行为的案例研究。本文提出了两种基于距离和加速度的新型ssm，并研究了防御性驾驶行为，如“一辆车在另一辆车的盲点下持续行驶多久？”以及“当前面的另一辆车在其停车距离范围内时，车辆如何驾驶（交互模式）？”最后，每位司机的星级评级取决于他们与其他车辆的互动。我们观察到，大约48%的车辆没有遵循防御性驾驶做法。在我们的车辆间相互作用分析中，我们还发现汽车-汽车、汽车-汽车和2W -汽车之间分别发生16.6%的追尾、6.3%的侧滑和1.5%的角度碰撞风险。我们的方法可以帮助交通执法机构和政策制定者通过对发展中国家的低星级车辆类别采取对策来提高道路交通安全。星级评定的示例视频可在https://www.youtube.com/@YagnikBhavsar上找到。

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引用次数: 0

Exploring walkability patterns in diverse urban landscapes: A comprehensive spatial geographic analysis of a megacity in Thailand 探索不同城市景观中的步行模式：泰国一个特大城市的综合空间地理分析

Multimodal Transportation

Pub Date : 2025-03-26 DOI: 10.1016/j.multra.2025.100226

Pawinee Iamtrakul , Sararad Chayphong , Varameth Vichiensan , Paramet Luathep , Nuwong Chollacoop , Atsushi Fukuda , Tuenjai Fukuda

Urbanization, urban sprawl, and the increasing population contribute to challenges in density and diversity within each metropolitan area, creating the need to find sustainable solutions for urban transport. This study investigates the correlation between the urban context and walkability, specifically in Bangkok, Thailand. A spatial geographic approach was employed for urban typology analysis, utilizing multivariate clustering, including walkability assessment through a geographic information system and urban and mobility indices. The findings of the urban context analysis revealed five distinct forms: rural, rural town, suburban, urban, and urban core, each characterized by varying levels of walking abilities. The findings contribute to understanding the nature of activities characteristic of both urban environments and mobility in terms of spatial environmental conditions present in each urban context. Urban and transport planners should explore strategies that align with the specific environmental context of each area to promote walking effectively.

城市化、城市扩张和不断增长的人口给每个大都市地区的密度和多样性带来了挑战，因此需要找到可持续的城市交通解决方案。本研究调查了城市环境与步行性之间的关系，特别是在泰国曼谷。城市类型分析采用空间地理方法，利用多变量聚类，包括地理信息系统的步行性评价和城市与交通指数。城市文脉分析的结果揭示了五种不同的形式：农村、农村城镇、郊区、城市和城市核心，每一种形式都以不同的步行能力为特征。研究结果有助于理解城市环境和流动性在每个城市环境中存在的空间环境条件下的活动特征的性质。城市和交通规划者应该探索与每个地区的具体环境背景相一致的策略，以有效地促进步行。

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引用次数: 0

A coordinated passenger flow control model for urban rail transit considering willingness to board 考虑上车意愿的城市轨道交通协调客流控制模型

Multimodal Transportation

Pub Date : 2025-03-22 DOI: 10.1016/j.multra.2025.100225

Guanghui Su , Pei Li , Deheng Lian , Pengli Mo

Effective control of passenger flow is essential for optimizing train capacity utilization in urban rail transit systems, enhancing operational efficiency and service quality. Passenger travel demand patterns and platform preferences significantly influence train capacity utilization, as passengers often exhibit preferences for specific trains, reflecting their willingness to board. This paper proposes a coordinated passenger flow control model that incorporates passengers’ willingness to board, further improving travel efficiency and fairness. The model applies the First-Come-First-In (FCFI) rule to represent passenger demand within flow control strategies and introduces a mechanism that permits the limited left-behind passenger volume to prevent trip abandonment caused by restrictive controls.

有效的客流控制是优化城市轨道交通列车运力利用率、提高运营效率和服务质量的关键。乘客出行需求模式和站台偏好显著影响列车运力利用率，因为乘客通常表现出对特定列车的偏好，反映了他们的上车意愿。本文提出了一种考虑乘客登机意愿的协调客流控制模型，进一步提高了出行效率和公平性。该模型采用先到先入（FCFI）规则来表示流量控制策略中的乘客需求，并引入了一种允许有限剩余乘客数量的机制，以防止限制性控制导致的放弃行程。

引用次数: 0

The comparison of main features and minimum service standards of air-rail integrated services (ARIS) implementation in Indonesia 印尼实施空铁综合服务（ARIS）的主要特点和最低服务标准的比较

Multimodal Transportation

Pub Date : 2025-03-22 DOI: 10.1016/j.multra.2025.100224

Danny Setiawan , Sigit Priyanto , Mukhammad Rizka Fahmi Amrozi , Imam Muthohar

Air-rail integrated services (ARIS) is a recent innovation in multimodal transport integration that combines air and rail transportation. This study investigates fundamental questions related to the development of ARIS in Indonesia: (1) does the existence of ARIS positively impact airplane passenger satisfaction? (2) how can airplane passenger satisfaction with ARIS be maintained and optimized? This study explores ARIS passenger satisfaction based on occupancy rate and social media big data. Optimization of ARIS in Indonesia is based on implementing main features and aligning them with minimum service standards (MSS) regulations by applying comparative methods and factor analysis. Passenger complaints are related to error systems while attempting to book and pay for tickets online using the airport train mobile application. In addition, there is no infant fare policy, travel schedules that cause long waiting times, and improvement in the quality of customer services. Standardization of the main features of ARIS in Indonesia is urgently needed and will provide time and cost-efficiency benefits for airplane passengers.

空铁综合服务（ARIS）是一种结合航空和铁路运输的多式联运一体化的最新创新。本研究探讨了与印尼ARIS发展相关的基本问题：(1)ARIS的存在是否会对飞机乘客满意度产生积极影响？(2)如何保持和优化飞机乘客对ARIS的满意度？本研究基于入住率和社交媒体大数据来探讨ARIS乘客满意度。印度尼西亚ARIS的优化基于实施主要特征，并通过应用比较方法和因素分析使其与最低服务标准（MSS）法规保持一致。乘客投诉与使用机场列车移动应用程序在线预订和支付机票时的错误系统有关。此外，没有婴儿票价政策，没有导致长时间等待的旅行时间表，也没有提高客户服务质量。印度尼西亚迫切需要对ARIS的主要功能进行标准化，这将为飞机乘客提供时间和成本效益方面的好处。

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引用次数: 0

Evaluating the usefulness of VGI for citizen co-producing city services from citizen perspective: A case study of crowdsourcing pedestrian navigation 从市民视角评估VGI对市民共同提供城市服务的有用性：以众包行人导航为例

Multimodal Transportation

Pub Date : 2025-03-19 DOI: 10.1016/j.multra.2025.100223

Shanqi Zhang , Maju Sadagopan , Xiao Qin

With over 50 % of the world's population now living in the cities and the number continuing to grow, cities are increasingly responsible for delivering services to people and businesses. Recent developments in volunteered geographic information (VGI) have provided new opportunities for improving city services by enabling citizens instantly and collectively share and report issues. However, the usefulness of VGI for such use has not been evaluated from a citizen perspective. This paper aims to bridge this research gap through a case study that innovatively uses geosocial media, as an example of VGI, for reporting accessibility issues to local governments and for providing customized navigation services to the general public. Particularly, a study website was developed that allows citizen participants to evaluate the usefulness of geosocial media for issue reporting and for pedestrian navigation. The results suggest that citizens consider geosocial media useful for helping them maneuver dynamic urban environments and for providing a convenient tool for issue reporting. These results suggest that citizens evaluate the usefulness of VGI differently from government officials and that VGI can facilitate government-citizen communication as well as the provision of customized public services, both of which are important to the development of smart cities.

目前，世界上超过50%的人口居住在城市，而且这一数字还在不断增长，城市在为人们和企业提供服务方面承担着越来越大的责任。志愿地理信息（VGI）的最新发展为改善城市服务提供了新的机会，使市民能够即时和集体地分享和报告问题。然而，VGI在这种用途上的有用性尚未从公民的角度进行评估。本文旨在通过一个案例研究来弥合这一研究差距，该案例研究创新地使用地理社交媒体，以VGI为例，向地方政府报告无障碍问题，并向公众提供定制的导航服务。特别是，开发了一个研究网站，允许公民参与者评估地理社交媒体在问题报告和行人导航方面的有用性。结果表明，市民认为地理社交媒体有助于他们驾驭动态的城市环境，并为问题报告提供了方便的工具。这些结果表明，公民对VGI有用性的评估不同于政府官员，VGI可以促进政府与公民的沟通，并提供定制的公共服务，这两者对智慧城市的发展都很重要。

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引用次数: 0

Sustainable urban transportation planning: Integrating an electrified metro system into Kampala metropolis 可持续城市交通规划：将电气化地铁系统整合到坎帕拉大都市

Multimodal Transportation

Pub Date : 2025-03-18 DOI: 10.1016/j.multra.2025.100220

Ismail Kimuli , John Baptist Kirabira , Ismael Nkambwe , Saadat L.K. Nakyejwe , Michael Lubwama , Kasimu Sendawula , Nashua K Nabaggala

With the United Nations (UN) predicting that 60% of the global population will reside in cities by 2050, sustainable transportation planning is a prominent global trend. This study examines Kampala's transportation sustainability and addresses existing knowledge gaps. It leverages the TIMES-VEDA model, an acronym for “The Integrated MARKAL-EFOM System - Versatile Data Analyst.” TIMES-VEDA is an engineering optimizer used to explore four scenarios: Business-as-Usual (BAU), Reduction in Electricity Consumption (REC), Renewable Electricity Portfolio (REP), and Carbon Reduction Target (CRT). These scenarios analyze the inherent aspects of the Kampala metropolis energy system, providing a foundation for evidence-based decision-making. The approach aligns with the United Nations’ Sustainable Development Goals (UN's SDGs 7, 11, & 13), Uganda's Vision 2040, and the third National Development Plan (NDPIII). The analysis demonstrates that sustainability is within range and highlights the imperative of a holistic approach, the potential of mass rapid transit, anchored by an electrified metro system, to advance green mobility. It sheds light on sustainable practices and trade-offs among distinctive pathways, suggesting a mix of policy measures to combat climate change. The KAMPALA-TIMES model, a bottom-up framework, reveals that a region-specific policy package, particularly the CRT scenario, achieves significant decarbonization, promoting eco-friendly multimodal transportation and paving the way for a more sustainable future for Kampala until 2060. The findings inform policy on urban planning and sustainable transportation that is adaptable elsewhere, ensuring long-term environmental and economic resilience.

联合国（UN）预测，到2050年，全球60%的人口将居住在城市，可持续交通规划是一个突出的全球趋势。本研究考察了坎帕拉的交通可持续性，并解决了现有的知识差距。它利用了TIMES-VEDA模型，这是“综合MARKAL-EFOM系统-多功能数据分析师”的首字母缩写。TIMES-VEDA是一个工程优化器，用于探索四种场景：照常经营（BAU）、减少电力消耗（REC）、可再生电力组合（REP）和碳减排目标（CRT）。这些情景分析了坎帕拉大都市能源系统的内在方面，为循证决策提供了基础。该方法与联合国可持续发展目标(UN’s SDGs 7、11、&；13)、乌干达2040年愿景和第三个国家发展计划（NDPIII）。分析表明，可持续发展是在范围内的，并强调了整体方法的必要性，即以电气化地铁系统为基础的大规模快速交通的潜力，以促进绿色交通。它揭示了可持续实践和不同途径之间的权衡，提出了应对气候变化的政策措施组合。Kampala - times模型是一个自下而上的框架，它揭示了一个针对特定区域的一揽子政策，特别是CRT方案，实现了显著的脱碳，促进了生态友好的多式联运，并为坎帕拉到2060年的更可持续的未来铺平了道路。研究结果为城市规划和可持续交通政策提供了参考，这些政策可在其他地方适用，确保长期的环境和经济韧性。

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引用次数: 0