Journal of Transport Geography最新文献_第10页

Non-linear impact of built environment on metro-bike integration from an eye-level perspective: A deep learning approach with street view images 基于视觉水平视角的建筑环境对地铁自行车整合的非线性影响：街景图像的深度学习方法

IF 6.3 2区工程技术 Q1 ECONOMICS

Journal of Transport Geography

Pub Date : 2025-11-19 DOI: 10.1016/j.jtrangeo.2025.104485

Shuli Luo , Lurong Xu , Sui Tao , Xiao Fu

The integration of metro and bike systems has emerged as a promising climate change mitigation strategy, fostering a transition towards sustainable transportation modes within urban landscapes. Extensive research has probed the effects of neighborhood-level built environment factors such as accessibility, urban density, land use mix, and proximity to cycling infrastructure—on cycling behavior. However, the impact of eye-level built environment features, those physical and visual characteristics of urban spaces as perceived by individuals at street level, remains insufficiently explored. Using Generalized Additive Mixed Models (GAMM), we examine the effects of both neighborhood-level and eye-level built environment variables on first-mile and last-mile metro-bike integration trips during weekdays and weekends, accounting for spatial and temporal autocorrelations. The results reveal that commercial establishments, job opportunities, population density, and spatial and temporal dynamics all significantly influence metro-bike integration. Surprisingly, the presence of cycle lanes shows a weak effect on integrated metro-bike usage. In addition, non-linear relationships are observed between metro-bike usage and eye-level built environment variables such as sky ratio, greenery, and building ratio, indicating the existence of optimal levels for improving metro-bike integration. The findings emphasize the importance of considering eye-level urban aesthetics when planning for transport infrastructures and thereafter provide concrete threshold guidelines for urban planners and policymakers to better integrate cycling facilities with metro system.

地铁和自行车系统的整合已经成为一种有希望的气候变化缓解策略，促进了城市景观向可持续交通模式的过渡。广泛的研究探讨了可达性、城市密度、土地利用组合和与自行车基础设施的接近性等社区级建筑环境因素对骑行行为的影响。然而，人眼水平的建筑环境特征的影响，即人们在街道水平感知到的城市空间的物理和视觉特征，仍然没有得到充分的探索。利用广义加性混合模型（GAMM），我们研究了社区水平和眼水平的建筑环境变量对工作日和周末第一英里和最后一英里地铁自行车整合出行的影响，并考虑了空间和时间的自相关性。结果表明，商业场所、就业机会、人口密度和时空动态对城市自行车整合有显著影响。令人惊讶的是，自行车道的存在对综合地铁自行车使用的影响很弱。此外，我们还观察到地铁自行车的使用与目视水平的建筑环境变量（如天空比、绿化和建筑比）之间存在非线性关系，这表明存在改善地铁自行车整合的最佳水平。研究结果强调了在规划交通基础设施时考虑城市美学的重要性，并为城市规划者和决策者提供了具体的阈值指导，以更好地将自行车设施与地铁系统结合起来。

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引用次数: 0

Decoding built environment impacts and regional interdependence of urban traffic emissions using interpretable deep learning 使用可解释深度学习解码建筑环境影响和城市交通排放的区域相互依存关系

IF 6.3 2区工程技术 Q1 ECONOMICS

Journal of Transport Geography

Pub Date : 2025-11-18 DOI: 10.1016/j.jtrangeo.2025.104487

Boting Qu , Fen Li , Yuan Gao

Understanding the relationship between the built environment and traffic carbon emissions is essential for sustainable urban development. However, accurately modeling these relationships presents complexities, including capturing intricate spatial interdependencies, modeling dynamic factors, and fully accounting for crucial upstream emissions from electric vehicles (EVs). In this paper, a deep learning Spatiotemporal Graph Convolutional Network (ST-GCN) framework is proposed. Using Xi’an taxi GPS data, the well-to-wheel (WTW) carbon emissions for Electric Taxis (ETs) and Internal Combustion Engine Taxis (ICETs) are first quantified, respectively. These emissions are then modeled in ST-GCN by integrating static built environment, dynamic time-series, and external temporal factors. Utilizing the Integrated Gradients interpretation method, the complex mechanisms influencing emission patterns are identified. Findings reveal distinct ET/ICET emission characteristics and driving mechanisms, spatial heterogeneity, spillover effects, and how neighbor interactions jointly shape emission outcomes. This framework offers insights for accurate, equitable, and synergistic urban emission mitigation policies.

了解建筑环境和交通碳排放之间的关系对于可持续城市发展至关重要。然而，准确地模拟这些关系存在复杂性，包括捕获复杂的空间相互依赖性，模拟动态因素，以及充分考虑电动汽车（ev）的关键上游排放。本文提出了一种深度学习时空图卷积网络（ST-GCN）框架。利用西安出租车GPS数据，首先对电动出租车（ETs）和内燃机出租车（ICETs）的井到轮（WTW）碳排放量进行了量化。然后通过综合静态建筑环境、动态时间序列和外部时间因素，在ST-GCN中模拟这些排放。利用综合梯度解释方法，确定了影响辐射模式的复杂机制。研究结果揭示了不同的ET/ICET排放特征和驱动机制、空间异质性、溢出效应以及邻国相互作用如何共同影响排放结果。该框架为制定准确、公平和协同的城市减排政策提供了见解。

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引用次数: 0

Spatio-temporal characteristics and related factors of urban on-street parking violations: A nonlinear perspective 城市街道停车违法时空特征及影响因素：一个非线性视角

IF 6.3 2区工程技术 Q1 ECONOMICS

Journal of Transport Geography

Pub Date : 2025-11-18 DOI: 10.1016/j.jtrangeo.2025.104486

Keliang Liu , Jian Chen , Wu Li , Rui Li , Qi Chen

Urban on-street parking violations pose significant challenges to traffic efficiency, safety, and urban management. Identifying their spatio-temporal characteristics and related factors is essential for developing effective governance strategies. However, existing studies have predominantly relied on linear analytical frameworks, and coupled with the limitations of non-continuous data, it is often difficult to capture the objective patterns of parking violations. To address this gap, this study examined 41,344 consecutive records of parking violations collected by monitoring devices over a two-month period. Twenty-two potential influencing factors were extracted from three perspectives: land use, parking supply, and road design. A combination of spatio-temporal analysis methods—including the standard deviational ellipse, hierarchical clustering, and dynamic time warping—was used to reveal the distribution and temporal patterns of parking violations. Furthermore, a gradient boosting decision tree model enhanced by an improved genetic algorithm (IGA-GBDT) was developed to jointly optimize feature selection and hyperparameters, enabling the exploration of nonlinear relationships between violations and their determinants. The results indicate that parking violations are more frequent on weekdays than weekends, with clear peaks during commuting hours. Weekday patterns follow an “expansion–stabilization–contraction” trend, and four distinct temporal clusters were identified across different locations. The IGA-GBDT model reveals nonlinear threshold effects of built environment and road design factors, as well as spatial heterogeneity in their influence on violations. This study provides a new perspective for on-street parking management and offer practical implications for more targeted and adaptive strategies.

城市街道停车违法行为对交通效率、交通安全和城市管理构成了重大挑战。确定其时空特征和相关因素对于制定有效的治理策略至关重要。然而，现有的研究主要依赖于线性分析框架，加上非连续数据的限制，往往难以捕捉停车违规的客观模式。为了解决这一差距，这项研究检查了监测设备在两个月内收集的41,344个连续违规停车记录。从土地利用、停车供应和道路设计三个角度提取了22个潜在影响因素。采用标准偏差椭圆、分层聚类和动态时间扭曲等时空分析方法，揭示了违规停车的时空分布规律。在此基础上，提出了一种基于改进遗传算法（IGA-GBDT）的梯度增强决策树模型，对特征选择和超参数进行联合优化，探索违规与其决定因素之间的非线性关系。结果表明，工作日违规停车频率高于周末，且高峰时段明显。工作日模式遵循“扩张-稳定-收缩”的趋势，在不同的地点发现了四个不同的时间集群。IGA-GBDT模型揭示了建筑环境和道路设计因素的非线性阈值效应，以及它们对违规行为影响的空间异质性。该研究为道路停车管理提供了新的视角，并为制定更有针对性和适应性的管理策略提供了实践启示。

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引用次数: 0

Revisiting electric vehicle charging station accessibility: A home and workplace dual-scenario perspective 重新审视电动汽车充电站的可达性：家庭和工作场所的双重场景视角

IF 6.3 2区工程技术 Q1 ECONOMICS

Journal of Transport Geography

Pub Date : 2025-11-17 DOI: 10.1016/j.jtrangeo.2025.104488

Leshan Cai , Qinyu Cui , Ziqi Yang , Jiayu Liu , Kaihan Zhang

The strategic deployment of public electric vehicle charging stations (EVCSs) is imperative for achieving transportation decarbonization. While EVCS accessibility is a critical factor influencing user experience and the adoption of electric vehicles, prior assessments have evaluated EVCS accessibility solely based on residential locations, overlooking the actual daily mobility patterns of vehicle owners. This oversight may result in an underestimate of potential charging opportunities. So this study uses home-workplace (HW) location data derived from mobile phone records to reevaluate EVCS accessibility and its associated equity status. We employed the Gaussian two-step floating catchment area (G2SFCA) to calculate accessibility at both workplace and residential locations and aggregated residents' EVCS accessibility at the residential location. The results indicate that: (1) accessibility improved for 99.94 % of residents, with 21.64 % experiencing an average reduction of 627.67 m in travel distance to EVCS; (2) equity in EVCS accessibility markedly increased, evidenced by a reduction in the Gini coefficient from 0.49 to 0.26; (3) the underlying drivers of the proposed dual-perspective accessibility index reveal that “GDP”, “Building density”, “Traffic flow”, and “Distance to the nearest subway station” show high feature importance scores. Specifically, the home scenario model is also significantly influenced by “Housing age” and “Shopping facilities”, while “Distance to the nearest primary road” and “Plot ratio” are key drivers in the workplace scenario. The findings can help alleviate (potential) consumers' charging anxiety and encourage planners to shift their focus to areas with low EVCS accessibility from both home and workplace. Additionally, the proposed methodology provides actionable insights and can be adapted for broader urban accessibility studies.

公共电动汽车充电站的战略部署是实现交通运输脱碳的必要条件。虽然EVCS可达性是影响用户体验和电动汽车采用的关键因素，但之前的评估仅基于住宅位置来评估EVCS可达性，而忽略了车主的实际日常出行模式。这种疏忽可能会导致低估潜在的收费机会。因此，本研究使用来自移动电话记录的家庭-工作场所（HW）位置数据来重新评估EVCS可及性及其相关的公平状况。我们采用高斯两步浮动集水区（G2SFCA）计算工作地点和居住地点的可达性，并汇总居民在居住地点的EVCS可达性。结果表明：(1)99.94%的居民可达性得到改善，其中21.64%的居民到EVCS的出行距离平均缩短627.67 m；(2)生态系统可达性公平性显著提高，基尼系数由0.49降至0.26；(3)双视角可达性指标的驱动因素显示，“GDP”、“建筑密度”、“交通流量”和“到最近地铁站的距离”的特征重要性得分较高。具体而言，家庭场景模型也受到“住房年龄”和“购物设施”的显著影响，而“到最近的主要道路的距离”和“容积率”是工作场所场景的关键驱动因素。研究结果可以帮助减轻（潜在）消费者的充电焦虑，并鼓励规划者将注意力转移到家庭和工作场所EVCS可达性较低的地区。此外，提出的方法提供了可操作的见解，可以适用于更广泛的城市可达性研究。

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引用次数: 0

Assessing commuting-related accessibility inequalities in rural Innviertel, Austria 评估奥地利因维耶特尔农村与通勤相关的无障碍不平等

IF 6.3 2区工程技术 Q1 ECONOMICS

Journal of Transport Geography

Pub Date : 2025-11-13 DOI: 10.1016/j.jtrangeo.2025.104482

Maria Juschten , Reinhard Hössinger

This study develops and applies a relational accessibility indicator to assess commuting-related public transport (PT) inequalities in the Innviertel, a rural region of Austria, in comparison to other rural and non-rural Austrian areas. By integrating spatial, temporal, and demand-based factors, the indicator measures PT trip attractiveness across different time frames, with a particular focus on the earliest possible connection - a critical but often overlooked dimension for shift-based and time-constrained employment. The PT quality indicator is merged with official commuter flow data to account for the number of commuters affected by limited accessibility. Results reveal significant accessibility disparities, especially for shift workers and secondary-sector employees, due to limited early-morning and night-time PT services. Compared to other rural regions, the Innviertel exhibits longer PT travel times and fewer direct, rail-based commuting connections, reducing its competitiveness against private cars. While data limitations prevent a detailed household-level analysis, the findings suggest that lower-income households in rural Austria may not face systematically worse PT access. Overall, this study highlights the importance of considering both spatial and temporal dimensions in rural PT planning and calls for a stronger integration of housing, transport and economic planning. It proposes policy interventions such as expanded early-morning PT services and employer-susbsidized transport solutions and cross-border PT integration to enhance transport equity and employment accessibility across the region.

本研究开发并应用了一个相关的可达性指标来评估奥地利农村地区Innviertel与奥地利其他农村和非农村地区相比与通勤相关的公共交通（PT）不平等。通过整合空间、时间和基于需求的因素，该指标衡量了不同时间框架内PT出行的吸引力，特别关注最早可能的连接——这是基于班次和时间限制的就业中一个关键但经常被忽视的维度。PT质量指标与官方通勤流量数据合并，以说明受有限的可达性影响的通勤者人数。结果显示，由于有限的清晨和夜间PT服务，轮班工人和第二部门员工的可及性存在显著差异。与其他农村地区相比，Innviertel的PT旅行时间更长，直接的铁路通勤连接更少，这降低了它与私家车的竞争力。虽然由于数据的限制，无法进行详细的家庭层面分析，但研究结果表明，奥地利农村的低收入家庭可能不会系统性地面临更糟糕的PT获取机会。总体而言，本研究强调了在农村PT规划中考虑空间和时间维度的重要性，并呼吁加强住房、交通和经济规划的整合。它提出了政策干预措施，如扩大清晨PT服务和雇主补贴的运输解决方案以及跨境PT一体化，以增强整个地区的运输公平和就业可及性。

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引用次数: 0

Habit or constraint? Car commuters' adoption of autonomous ride-hailing: A hybrid choice approach 习惯还是约束？汽车通勤者对自动叫车服务的采用：一种混合选择方法

IF 6.3 2区工程技术 Q1 ECONOMICS

Journal of Transport Geography

Pub Date : 2025-11-13 DOI: 10.1016/j.jtrangeo.2025.104480

Alessandro La Delfa, Zheng Han

Within the framework of emerging autonomous mobility, this study examines why car commuters persist with private vehicles despite alternatives, recognizing that identical behavior can arise from distinct mechanisms. As autonomous ride-hailing (ARH) shifts from pilots to fleets projected to exceed 500,000 robotaxis in Chinese cities by 2030, demand models risk systematic forecasting errors by missing how behavioral mechanisms independently shape responses. We test how cue-triggered habit and situational constraints separately influence Shanghai commuters' willingness to adopt self-driving taxis.

We analyzed 2050 revealed- and stated-preference choices from 410 car commuters using a latent-class hybrid choice model integrating habit strength with observable constraints.

Two segments emerge, namely Habitual Loyalists (≈78 %) and Constrained Adapters (≈22 %). Loyalists' automaticity reduces ARH utility and dampens price- and time-sensitivities. Adapters respond to tangible constraints, such as scarce car access and unreliable travel times, and place a substantially higher value on time savings (52 vs 38 CNY/h), making them receptive once these frictions are eased. Loyalists show habitual blindness to alternative modes, whereas Adapters remain cognitively flexible. Habit and constraint effects are stable across Shanghai's core and periphery, and a negative link between structural barriers and habit strength suggests that prolonged friction gradually erodes automatic car routines.

Recognizing mechanism-based heterogeneity improves ARH uptake projections. Disrupting routine cues is prerequisite for shifting Loyalists, whereas reliable, low-wait service in high-friction areas can attract Adapters. The gradual weakening of habit under persistent constraints points to a life-cycle pathway for broader mode shift in other fast-growing cities.

在新兴的自主出行框架内，本研究探讨了为什么尽管有其他选择，但汽车通勤者仍然坚持使用私家车，并认识到相同的行为可能来自不同的机制。预计到2030年，中国城市的自动驾驶出租车数量将超过50万辆，随着自动驾驶网约车（ARH）从试点转向车队，需求模型可能会因为忽略了行为机制如何独立塑造反应而存在系统性预测误差。我们测试了提示触发习惯和情境约束分别如何影响上海通勤者采用自动驾驶出租车的意愿。我们使用一种结合习惯强度和可观察约束的潜在类混合选择模型，分析了410名汽车通勤者的2050个显性偏好和陈述偏好选择。出现了两部分，即习惯性忠诚者（≈78%）和受限适应者（≈22%）。忠诚者的自动性降低了ARH效用，降低了价格和时间敏感性。适配器会对有形的限制做出反应，例如车辆稀少和不可靠的旅行时间，并且更重视节省时间（52元/小时vs 38元/小时），一旦这些摩擦得到缓解，他们就会接受。忠诚者对替代模式表现出习惯性的盲目性，而适应者则保持认知上的灵活性。习惯和约束效应在上海的核心和外围都是稳定的，结构性障碍和习惯强度之间的负相关表明，长期的摩擦逐渐侵蚀了自动驾驶汽车的常规。认识到基于机制的异质性可以改善ARH摄取预测。打破常规线索是改变忠诚者的先决条件，而在高摩擦地区提供可靠、低等待的服务可以吸引适应者。在持续的约束下，习惯的逐渐弱化为其他快速发展的城市提供了一条更广泛的模式转变的生命周期路径。

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引用次数: 0

Gender heterogeneity in couriers' mode choice behaviours: Crowd-shipping for E-groceries 快递员模式选择行为的性别异质性：电子杂货的众包配送

IF 6.3 2区工程技术 Q1 ECONOMICS

Journal of Transport Geography

Pub Date : 2025-11-13 DOI: 10.1016/j.jtrangeo.2025.104483

Oleksandr Rossolov , Anastasiia Botsman , Serhii Lyfenko , Yusak O. Susilo

This paper examines the mode choice behaviour of occasional couriers providing crowd-shipping (CS) deliveries for e-groceries, with a particular focus on gender heterogeneity. Using a behavioural survey conducted in Kharkiv, Ukraine, in early 2021, combined with simulated travel attributes and discrete choice modelling based on random utility maximisation theory, this study explores how gender influences mode preferences and willingness to pay (WTP) across six transport modes within a crowd-shipping context. The results reveal significant gender-based differences in both mode choice and WTP. Female couriers consistently exhibit a higher WTP across all transport modes compared to their male counterparts. For instance, women's WTP for cycling (90 UAH/h) is substantially higher than men's (59.79 UAH/h), while for car-based deliveries, women's WTP reaches 87.16 UAH/h, compared to 54.94 UAH/h for men. These findings suggest that women require higher compensation, particularly for non-motorised modes, likely due to differences in physical effort required and perceived comfort.

本文研究了为电子杂货提供群体配送（CS）的偶尔快递员的模式选择行为，特别关注性别异质性。本研究利用2021年初在乌克兰哈尔科夫进行的一项行为调查，结合基于随机效用最大化理论的模拟旅行属性和离散选择模型，探讨了性别如何影响人群运输背景下六种运输方式的模式偏好和支付意愿（WTP）。结果显示，在模式选择和WTP上存在显著的性别差异。在所有运输方式中，女性快递员的WTP都比男性快递员高。例如，女性骑车时的WTP （90 UAH/h）大大高于男性（59.79 UAH/h），而在汽车分娩时，女性的WTP达到87.16 UAH/h，而男性为54.94 UAH/h。这些发现表明，女性需要更高的补偿，尤其是在非机动模式下，这可能是由于所需的体力和感知舒适度的差异。

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引用次数: 0

Social contact, social cohesion, and social safety outcomes of children's school travel 儿童学校旅行的社会接触、社会凝聚力与社会安全结果

IF 6.3 2区工程技术 Q1 ECONOMICS

Journal of Transport Geography

Pub Date : 2025-11-12 DOI: 10.1016/j.jtrangeo.2025.104481

Pauline van den Berg , E. Owen D. Waygood , Iris van de Craats , Astrid Kemperman

Much research on children's (school) travel focuses on explaining travel mode choice and how that relates to physical activity gained through active travel. However, another key component of children's lives and their travel relates to the social outcomes of travel such as social contact, social cohesion, and social safety. Children's independent and active travel has been shown to be positively related to social contacts with friends and neighbors which in turn is associated with social cohesion and feelings of safety in the neighborhood. However, the precise interrelationships between children's school travel and social aspects are not well understood. Using a Bayesian Belief Network approach, a data mining approach, it is possible to examine how (categorical) variables influence each other, both directly and indirectly. Using data from 601 primary school students and their parents in the Netherlands, a Bayesian Belief Network is estimated to examine the relationships between children's school travel characteristics (distance, mode, and travel party), and social domain factors (social contact with other children, social cohesion, and the perception of social safety). Along with those measures, variables are included related to child and household characteristics (age, gender, children's travel skills, household car ownership) and neighborhood characteristics (perceptions of traffic safety, socio-economic status of the neighborhoods, and population density). The results demonstrate that there is a clear relationship between the social domain factors, which are linked to how children travel. The findings suggest that shorter trips to school would increase social contact during travel, which improves social cohesion and, in turn improves the perception of social safety. Thus, not only do shorter distance trips increase the likelihood of active travel, which contributes to physical health, but they can also improve the social dimension of children's well-being.

许多关于儿童（学校）旅行的研究侧重于解释旅行模式的选择，以及它与通过积极旅行获得的身体活动之间的关系。然而，儿童生活和旅行的另一个关键组成部分与旅行的社会结果有关，如社会联系、社会凝聚力和社会安全。儿童独立和积极的旅行已被证明与朋友和邻居的社会联系呈正相关，而这反过来又与社区的社会凝聚力和安全感有关。然而，儿童学校旅行与社会方面之间的确切相互关系尚未得到很好的理解。使用贝叶斯信念网络方法，一种数据挖掘方法，可以检查（分类）变量如何直接和间接地相互影响。本文利用荷兰601名小学生及其家长的数据，估计了一个贝叶斯信念网络，以检验儿童的学校旅行特征（距离、方式和旅行方）与社会领域因素（与其他儿童的社会接触、社会凝聚力和社会安全感）之间的关系。除了这些措施，变量还包括与儿童和家庭特征（年龄、性别、儿童旅行技能、家庭汽车拥有量）和社区特征（对交通安全的看法、社区的社会经济地位和人口密度）相关的变量。结果表明，社会领域因素之间存在明确的关系，这些因素与儿童的旅行方式有关。研究结果表明，较短的上学路程会增加旅行中的社会联系，从而提高社会凝聚力，进而提高社会安全感。因此，短途旅行不仅增加了积极旅行的可能性，这有助于身体健康，而且还可以改善儿童福祉的社会层面。

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引用次数: 0

Assessment and optimization of shipping network resilience in the maritime silk road regions 海上丝绸之路区域航运网络弹性评估与优化

IF 6.3 2区工程技术 Q1 ECONOMICS

Journal of Transport Geography

Pub Date : 2025-11-10 DOI: 10.1016/j.jtrangeo.2025.104454

Weiqin Hu , Jia Shi , Chuan Pang , Jihong Chen , Zheng Wan , Zhihuan Wang

Amid evolving geopolitical uncertainties, the Maritime Silk Road shipping network faces mounting systemic disruptions. This study proposes a macro-level resilience optimization framework that integrates complex network theory with resilience triangle theory to evaluate and enhance the resilience of Maritime Silk Road shipping network. The framework simulates four disruption types—random attacks (e.g., ship collisions), degree attacks (e.g., strikes at hub ports), strength attacks (e.g., route capacity constraints), and betweenness centrality attacks (e.g., blockages of critical corridors)—and assesses three recovery strategies: Degree Recovery, Betweenness Recovery, and Strength Recovery. Empirical findings reveal: (1) the strength recovery strategy consistently outperforms other strategies, especially under degree-based, strength-based, and random disruptions, by restoring high-throughput routes; (2) Long-distance, cross-regional connections—such as those between the Mediterranean and Northern Europe, or between East Asia and Southeast Asia—play a vital role in resilience enhancement, particularly under high economic budgets. These insights provide actionable guidance for policymakers and port authorities, emphasizing the need to incorporate resilience considerations into infrastructure planning, prioritize strategic hubs (e.g., Qingdao, Zhoushan, Bangkok, Hamburg), and balance investment feasibility with network resilience. The proposed framework is generalizable and can be extended to other global shipping networks to support resilience-oriented decision-making under systemic risks.

在地缘政治不断变化的不确定性中，海上丝绸之路航运网络面临越来越多的系统性中断。本研究提出了一个宏观层面的弹性优化框架，将复杂网络理论与弹性三角理论相结合，对海上丝绸之路航运网络的弹性进行评价和提升。该框架模拟了四种中断类型——随机攻击（例如，船舶碰撞）、程度攻击（例如，对枢纽港口的攻击）、强度攻击（例如，航线容量限制）和中间性中心性攻击（例如，关键走廊的阻塞）——并评估了三种恢复策略：程度恢复、中间性恢复和强度恢复。实证结果表明：(1)强度恢复策略通过恢复高吞吐量路线，持续优于其他策略，特别是在基于学位、基于强度和随机中断的情况下；(2)长距离、跨区域的联系，如地中海和北欧之间、东亚和东南亚之间的联系，在增强韧性方面发挥着至关重要的作用，特别是在高经济预算的情况下。这些见解为政策制定者和港口当局提供了可操作的指导，强调需要将弹性因素纳入基础设施规划，优先考虑战略枢纽（如青岛、舟山、曼谷、汉堡），并平衡投资可行性和网络弹性。所提出的框架具有通用性，可扩展到其他全球航运网络，以支持系统性风险下的弹性导向决策。

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引用次数: 0

Improving a cargo consolidation strategy for port-hinterland transport via inland waterways 完善内河港-腹地联运策略

IF 6.3 2区工程技术 Q1 ECONOMICS

Journal of Transport Geography

Pub Date : 2025-11-08 DOI: 10.1016/j.jtrangeo.2025.104477

Peter Shobayo , Chenghua Yang , Felipe Bedoya-Maya , Adrien Nicolet , Edwin van Hassel , Bilge Atasoy , Thierry Vanelslander

Container logistics is under increasing pressure to deliver efficient and sustainable hinterland transport. Achieving this requires improving the performance of environmentally friendly modes, such as inland waterway transport. This study examines the potential of cargo consolidation as a strategy to tackle suboptimal filling rates of containers, one of the most persistent inefficiencies in the Rhine-Alpine Corridor. We develop an integrated optimization model that holistically accounts for the operational and spatial requirements of consolidation, assessing the sensitivity of the strategy to labor costs, fuel prices, value of time, and vessel costs. The results show that, despite additional handling and coordination costs, consolidation can reduce overall transport costs by up to 4 % and attract as much as 42 % more container volumes to IWT on specific origin-destination connections. Vessel occupation rates emerge as a decisive factor in determining consolidation benefits, while cost parameters such as labor and fuel prices strongly influence outcomes. The research illustrates how optimizing this strategy can contribute to the sustainability of port-hinterland container transport and discusses the conditions required for its realization.

集装箱物流在提供高效和可持续的内陆运输方面面临越来越大的压力。实现这一目标需要改善环境友好型模式的性能，例如内河运输。本研究考察了货物整合作为解决集装箱次优填充率的策略的潜力，这是莱茵-阿尔卑斯走廊中最持久的低效率之一。我们开发了一个综合优化模型，全面考虑了整合的运营和空间需求，评估了该策略对劳动力成本、燃料价格、时间价值和船舶成本的敏感性。结果表明，尽管增加了额外的处理和协调成本，但合并可以将总运输成本降低4%，并在特定的始发目的地连接上吸引多达42%的集装箱量增加到IWT。船舶占用率是决定合并收益的决定性因素，而劳动力和燃料价格等成本参数对合并结果有很大影响。研究说明了优化这一策略如何有助于港口腹地集装箱运输的可持续性，并讨论了实现这一策略所需的条件。

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引用次数: 0