Journal of Transport Geography最新文献_第8页

Cyclability in London: Associations between the quality of the local cycling environment, cycling participation, and perceptions of the cycling environment 伦敦的可骑行性：当地骑行环境质量、骑行参与和骑行环境感知之间的联系

IF 6.3 2区工程技术 Q1 ECONOMICS

Journal of Transport Geography

Pub Date : 2025-12-07 DOI: 10.1016/j.jtrangeo.2025.104509

David Fevyer, Jamie Furlong, Rachel Aldred

Increasingly, researchers are exploring how multiple factors affect the quality of the cycling environment (here “cyclability”), relating this to perceptions of cycling, to route choices, and/or to cycling levels. This recognises the impact the many built environmental characteristics have on experiences and levels of cycling, beyond the presence of infrastructure such as cycle tracks. For instance, the accessibility of local services is likely to be important for utility cycling, which involves specific destinations, while the ability to cycle through greenspace may be important both for utility and for more leisure-focused cycling.

In this paper, we conduct a multi-factor analysis of cyclability across Greater London, a megacity of 9 million people. Our cyclability measure is calculated at small-area level using ten-minute travel-time polygons. It combines the local prevalence of cycling infrastructure, green pathways, neighbourhood roads, cycling facilities and service accessibility. After calculating cyclability across Greater London, we use survey data from several thousand Outer London residents to examine associations between the cyclability of respondents' residential locations, their self-reported cycling participation and views on the local cycling environment. This allows us to explore the extent to which our measure of cyclability, and its components, predict both cycling participation and subjective assessments of cyclability.

The pan-London analysis shows substantial differences across the city related both to individual components and the resultant score, illustrating spatial disparities in the quality of the cycling environment. The survey analysis finds that living within higher scoring isochrones is associated with a higher likelihood of participation in cycling and more positive views of the local cycling environment, with past-week cycling predicted better than past-year cycling. However, predictors of cycling perceptions differ from predictors of participation. Policy-makers can use such methods to explore and address inequalities in cycling provision, which in London are substantial and correlated with perceptions and with participation.

越来越多的研究人员正在探索多重因素如何影响骑车环境的质量（这里是“可骑车性”），并将其与对骑车的看法、路线选择和/或骑车水平联系起来。除了自行车道等基础设施的存在之外，许多建筑环境特征对骑行体验和水平的影响也得到了认可。例如，当地服务的可达性可能对涉及特定目的地的公用事业骑行很重要，而通过绿色空间的骑行能力可能对公用事业和更注重休闲的骑行都很重要。在本文中，我们对拥有900万人口的大都市大伦敦的可骑行性进行了多因素分析。我们的可循环性测量是在小区域水平上使用10分钟旅行时间多边形计算的。它结合了当地流行的自行车基础设施、绿色通道、社区道路、自行车设施和服务可达性。在计算了大伦敦地区的可骑性之后，我们使用了来自数千名外伦敦居民的调查数据来研究受访者居住地点的可骑性、他们自己报告的骑自行车参与情况和对当地自行车环境的看法之间的联系。这使我们能够探索我们的可循环性测量及其组成部分在多大程度上预测骑车参与和对可循环性的主观评估。泛伦敦分析显示，整个城市与各个组成部分和综合得分相关的巨大差异，说明了骑车环境质量的空间差异。调查分析发现，生活在得分较高的等时线内的人更有可能参加自行车运动，对当地自行车环境的看法也更积极，过去一周的骑行预期比过去一年的骑行要好。然而，预测骑车观念的因素不同于预测参与的因素。政策制定者可以使用这些方法来探索和解决自行车供应中的不平等问题，这在伦敦是实质性的，并且与认知和参与相关。

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引用次数: 0

Reframing the holiday peak: Structural reconfiguration and shifting mechanisms of intercity mobility networks in China 重构假日高峰：中国城际交通网络的结构重构与转移机制

IF 6.3 2区工程技术 Q1 ECONOMICS

Journal of Transport Geography

Pub Date : 2025-12-07 DOI: 10.1016/j.jtrangeo.2025.104501

Haosong Wen , De Zhao , Zhen Meng , Qi Ai , Wei Wang , Xuedong Hua , Weijie Yu

Intercity human mobility networks exhibit pronounced temporal heterogeneity, yet the structural and mechanistic reconfigurations that occur during high-demand episodes such as national holidays remain underexplored, particularly regarding their integrated dynamics. Addressing this gap, this study examines how China’s intercity mobility network reorganizes across regular and holiday periods through a multi-scale analytical framework that integrates network structural analysis with relational modeling. Drawing on nationwide location-based services data, the findings reveal a fundamental reconfiguration: the macro-scale network backbone shifts focus from established economic and administrative corridors toward alternative regional transport hubs, while meso-scale organization transitions from a dual-core hierarchy dominated by national centers to a more dispersed, tripolar pattern comprising supra-regional communities. This structural adaptation occurs alongside a significant recalibration of spatial interaction mechanisms: distance friction intensifies, economic complementarity such as income weakens, while non-economic factors like cultural proximity gain prominence, and notably, housing prices shift from deterrents to attractors. Synthesizing these results, the study demonstrates the coordinated evolution of network structure and relational mechanisms, revealing the temporally conditioned nature of spatial interaction principles. These insights challenge static frameworks, highlight the adaptive capacity of urban systems, and underscore the need for context-sensitive transport planning.

城际人口流动网络表现出明显的时间异质性，但在国家法定假日等高需求时段发生的结构和机制重构仍未得到充分研究，特别是在其综合动态方面。为了解决这一差距，本研究通过将网络结构分析与关系建模相结合的多尺度分析框架，考察了中国城际交通网络如何在常规和节假日期间重组。利用全国范围内基于位置的服务数据，研究结果揭示了一种根本性的重构：宏观尺度的网络骨干将重点从既定的经济和行政走廊转移到可替代的区域交通枢纽，而中尺度的组织则从由国家中心主导的双核层次结构转变为由超区域社区组成的更分散的三极模式。这种结构调整伴随着空间相互作用机制的重大重新校准：距离摩擦加剧，经济互补性（如收入减弱），而非经济因素（如文化邻近性）变得突出，值得注意的是，房价从阻碍因素转变为吸引因素。综合这些结果，研究揭示了网络结构的协调演化及其关系机制，揭示了空间相互作用原理的时间条件性质。这些见解挑战了静态框架，强调了城市系统的适应能力，并强调了对环境敏感的交通规划的必要性。

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引用次数: 0

Corrigendum to “Siting for demand and equity: Optimizing level 2 electric vehicle charger placement” [Journal of Transport Geography, Volume 128, October 2025, 104369] “需求和公平的选址：优化2级电动汽车充电器安置”的勘误表[Journal of Transport Geography， vol . 128, October 2025, 104369]

IF 6.3 2区工程技术 Q1 ECONOMICS

Journal of Transport Geography

Pub Date : 2025-12-02 DOI: 10.1016/j.jtrangeo.2025.104505

Carlos Mateo Samudio Lezcano , Corey D. Harper , Destenie Nock

引用次数: 0

Coordinated emergency resource allocation for resilience enhancement in post-disaster electrified transportation networks 协调应急资源分配以增强灾后电气化交通网络的复原力

IF 6.3 2区工程技术 Q1 ECONOMICS

Journal of Transport Geography

Pub Date : 2025-12-02 DOI: 10.1016/j.jtrangeo.2025.104503

Yingjie Song , Dong Ngoduy , Chuan Ding

The growing adoption of electric vehicles (EVs) and fast charging stations (FCSs) has intensified the coupling between urban transportation network (TN) and power distribution network (PDN), forming a closely coupled transportation and power network (CTPN). This interdependence, however, can exacerbate urban vulnerability during disasters: disruptions in one subnetwork can trigger internal cascading failures, which propagate to the interdependent subsystem via coupling mechanisms. Existing research often overlooks these dynamic cross-system interactions during disruptions, leading to suboptimal emergency resource allocation and potentially misleading recovery strategies. To address this limitation, this study proposes an optimized decision-making framework for coordinated emergency resource allocation in CTPN, aiming to minimize total travel time and active/reactive power curtailments under resource constraints. As a result, a mixed-integer linear programming (MILP) model is developed that integrates, for the first time, TN lane reversal, FCS charging pile management, and PDN line switching within a unified framework. Route choice behavior, EV charging dynamics, and PDN operational constraints are concurrently considered in this model, meticulously characterizing the multi-scale interdependencies among traffic flow dynamics, FCS operations, and power dispatch. Numerical simulations demonstrated that compared to link reversing or isolated optimization strategies for TN and PDN, the proposed method exhibited significant advantages in mitigating traffic congestion, fulfilling travel demand, and reducing power curtailment. This study provides urban planners with a scalable and high-precision modeling methodology and decision tool, offering theoretical support for CTPN resilience enhancement and coordinated post-disaster recovery.

随着电动汽车（ev）和快速充电站（FCSs）的日益普及，城市交通网络（TN）和配电网络（PDN）之间的耦合日益加剧，形成了一个紧密耦合的交通和电力网络（CTPN）。然而，这种相互依赖会加剧灾害期间城市的脆弱性：一个子网的中断可能引发内部级联故障，并通过耦合机制传播到相互依赖的子系统。现有的研究往往忽略了中断期间这些动态的跨系统相互作用，导致次优的应急资源分配和潜在的误导恢复策略。针对这一局限性，本研究提出了一种优化的CTPN应急资源协调分配决策框架，其目标是在资源约束下最小化总行程时间和有功/无功削减。在此基础上，首次建立了将TN车道反转、FCS充电桩管理和PDN线路交换集成在统一框架内的混合整数线性规划（MILP）模型。该模型同时考虑了路径选择行为、电动汽车充电动态和PDN运行约束，细致地描述了交通流动态、FCS运行和电力调度之间的多尺度相互依赖关系。数值模拟结果表明，与TN和PDN的链路反转或隔离优化策略相比，该方法在缓解交通拥堵、满足出行需求和减少限电方面具有显著优势。本研究为城市规划者提供了一种可扩展、高精度的建模方法和决策工具，为CTPN弹性增强和协调灾后恢复提供了理论支持。

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引用次数: 0

Can railway station areas become inclusive 24-h urban spaces? A chronotopic approach with empirical evidence from China 火车站区域能否成为包容性的24小时城市空间？基于中国经验证据的时间顺序方法

IF 6.3 2区工程技术 Q1 ECONOMICS

Journal of Transport Geography

Pub Date : 2025-12-02 DOI: 10.1016/j.jtrangeo.2025.104500

Jingyao Dong , Ryuzo Ohno

Many railway stations operate around the clock, particularly in densely populated regions where transport capacity remains inadequate. Yet planning practice still treats them as purely spatial entities, overlooking temporal dynamics, which risks overestimating theiravailability and efficiency. Framing railway station areas as chronotopes, this study applies Lefebvre's rhythmanalysis to capture 24-h space-time–behavior interactions and evaluate the 24-h inclusiveness. Based on a survey of ten major hubs in China, we first construct a typology of four train operational patterns that function as domain pacemakers. Then, through an in-depth case study of Nanjing Station Area, we uncover the misalignment between institutional/service rhythms and lived behaviors. The findings reveal that the station's rhythmic conflicts are not mere scheduling errors, but manifestations of three deeper systemic contradictions: 1) the logic of “node” and “place”, 2) the decoupling of national and local governance, and 3) the unequal power in temporal framing. To address these contradictions, we propose a set of planning implications. Strategically, we call for a paradigm shift in planning along three axes: from optimizing spatial allocation to coordinating rhythmic relationships; from pursuing universal synchronization to fostering differentiated coordination; and from a provision-oriented to a capability-oriented logic. Tactically, we offer a hierarchical toolkit of Rhythmic Choreographies with a Rhythmic Negotiation Framework to facilitate stakeholder coordination. The chronotopic framework enriches transport-geography theory on space-time convergence and offers guidance for urban planners and policymakers to pursue 24-h urban inclusiveness.

许多火车站24小时运营，特别是在交通能力仍然不足的人口稠密地区。然而，规划实践仍然将它们视为纯粹的空间实体，忽视了时间动态，这有可能高估它们的可用性和效率。本研究将火车站区域作为时位，运用列斐伏尔的节奏分析方法捕捉24小时的时空-行为相互作用，并评估24小时的包容性。基于对中国10个主要枢纽的调查，我们首先构建了作为领域起搏器的四种列车运营模式的类型学。然后，通过对南京车站区域的深入案例研究，我们发现了制度/服务节奏与生活行为之间的错位。研究结果表明，台站的节奏冲突并非单纯的调度错误，而是三个更深层次的系统性矛盾的表现：1)“节点”与“地点”的逻辑，2)国家与地方治理的脱钩，3)时间框架下的权力不平等。为了解决这些矛盾，我们提出了一套规划建议。在战略上，我们呼吁在规划上沿着三个轴进行范式转变：从优化空间分配到协调节奏关系；从追求普遍同步到培育差异化协调；从面向供应的逻辑到面向能力的逻辑。从战术上讲，我们提供了一个有节奏的谈判框架，以促进利益相关者的协调有节奏的舞蹈编排的分层工具包。该框架丰富了交通地理学时空趋同理论，为城市规划者和决策者追求24小时城市包容性提供了指导。

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引用次数: 0

Evaluating spatial disparities in public EV charging infrastructure across the United States 评估美国公共电动汽车充电基础设施的空间差异

IF 6.3 2区工程技术 Q1 ECONOMICS

Journal of Transport Geography

Pub Date : 2025-12-02 DOI: 10.1016/j.jtrangeo.2025.104507

T.M. Junaid Bashar , Ran Tao , Caleb Fernandes , Zhenzhi Jiao

Growing environmental concerns and rising energy demand have driven efforts to promote electric vehicles (EVs). However, geographic disparities in public EV charging station (EVCS) distribution continue to hinder progress toward a cleaner transportation future. While previous studies have largely focused on local or regional patterns, this study provides a comprehensive national analysis of public EVCS accessibility across the contiguous United States. Integrating spatial statistics (Bivariate Local Moran's I, colocation analysis) with machine learning (XGBoost) and explainable GeoAI (GeoShapley), we assess how EVCS distribution relates to socioeconomic, demographic, built environment, policy, and environmental factors. We find that EVCS accessibility is positively associated with population density, income, and the driving-age population, but negatively associated with road length per capita in many regions, including Florida, California, and parts of the Northeast. Spatial mismatches persist: EVCSs colocate with restaurants in urban areas and with hotels in rural areas, while proximity to gas stations emerges as a stronger predictor of EVCS accessibility; EV-friendly warm regions in the South show a lack of EVCS. Racial and ethnic disparities are evident, disproportionately affecting Black communities in the Deep South, Hispanic populations in the Southwest, and White populations in the central Midwest. These findings underscore the need for equitable, region-specific planning and targeted policy interventions. Addressing geographic and social disparities in EV infrastructure is critical to ensuring a just energy transition and broad-based access to clean mobility.

日益增长的环境问题和不断增长的能源需求推动了电动汽车（ev）的推广。然而，公共电动汽车充电站（EVCS）分布的地域差异继续阻碍着未来清洁交通的发展。虽然以前的研究主要集中在当地或区域模式，但本研究提供了美国连续地区公共EVCS可达性的全面全国分析。结合空间统计（Bivariate Local Moran’s I, colocation analysis）、机器学习（XGBoost）和可解释的GeoAI (GeoShapley)，我们评估了EVCS分布与社会经济、人口、建筑环境、政策和环境因素之间的关系。研究发现，EVCS可达性与人口密度、收入和驾驶年龄人口呈正相关，但与包括佛罗里达州、加利福尼亚州和东北部部分地区在内的许多地区的人均道路长度负相关。空间不匹配仍然存在：EVCS与城市地区的餐馆和农村地区的酒店共存，而靠近加油站成为EVCS可达性的更强预测因子；南方对电动汽车友好的温暖地区缺乏EVCS。种族和民族差异是明显的，不成比例地影响到南部腹地的黑人社区、西南部的西班牙裔人口和中西部中部的白人人口。这些调查结果强调需要进行公平的、针对具体区域的规划和有针对性的政策干预。解决电动汽车基础设施的地域和社会差异，对于确保能源转型的公正和清洁交通的广泛普及至关重要。

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引用次数: 0

Modeling urban activity-travel demand with activity pattern heterogeneity: An integrated LDA and interpretable ML framework 基于活动模式异质性的城市活动-旅行需求建模：集成LDA和可解释ML框架

IF 6.3 2区工程技术 Q1 ECONOMICS

Journal of Transport Geography

Pub Date : 2025-12-02 DOI: 10.1016/j.jtrangeo.2025.104498

Dawei Li , Tong Zhang , Dongding Li

The Activity-Based travel demand Model (ABM) operates at the individual level, integrating spatiotemporal constraints, personal attributes, and activity preferences to predict comprehensive daily activity-travel schedules. This approach facilitates the evaluation of both immediate effects of urban transportation/land-use policies on residents' mobility patterns and long-term projections of urban demand structures. However, in the context of expanding multi-source activity-travel data and growing demands for sophisticated urban planning tools, ABM methodologies face four key technical challenges: (1) insufficient incorporation of population heterogeneity in activity demand modeling, (2) inadequate resolution of high complexity of activity information and internal correlations within activity sequences, (3) disconnects between activity pattern recognition and ABM systems in data compatibility and variable interoperability, and (4) a trade-off between the interpretability of traditional econometric models and the predictive accuracy of data-driven machine learning. To address these challenges, this study develops an integrated analytical framework using large-scale household survey data (71,170 residents) from Chongqing, China. Our methodology first applies Latent Dirichlet Allocation (LDA) modeling to reframe activity pattern identification as a document classification task, generating probabilistic distributions of activity topics. Subsequent clustering analysis extracts heterogeneous urban mobility patterns, while Classification And Regression Tree (CART) modeling reveals correlations between these patterns and socioeconomic attributes to guide ABM feature selection. For demand prediction, we implement a hybrid Particle Swarm Optimization-Random Forest (PSO-RF) algorithm that simultaneously predicts activity sequences (accounting for temporal dependencies), activity durations (incorporating non-home initial activity uniqueness), and chained travel mode choices. The framework explicitly addresses data imbalance, intra-sequence correlations, and trip-chain decision dynamics through tailored computational strategies. The methodology has been rigorously validated using precision metrics and SHapley Additive exPlanations (SHAP) analysis, yielding both quantitative performance assessments and interpretable policy insights into Chongqing's activity-travel patterns. This integrated approach can provide data-driven solutions for activity-based demand modeling and analysis in high-density cities.

基于活动的旅行需求模型（ABM）在个人层面运行，整合时空约束、个人属性和活动偏好来预测综合的日常活动-旅行计划。这种方法有助于评价城市交通/土地使用政策对居民流动模式的直接影响和对城市需求结构的长期预测。然而，在不断扩大的多源活动-旅行数据和对复杂城市规划工具日益增长的需求的背景下，ABM方法面临着四个关键的技术挑战：(1)在活动需求建模中未充分考虑人口异质性；(2)未充分解决活动信息的高复杂性和活动序列内部相关性；(3)活动模式识别与ABM系统在数据兼容性和变量互操作性方面的脱节；(4)传统计量经济模型的可解释性与数据驱动机器学习的预测准确性之间的权衡。为了应对这些挑战，本研究利用来自中国重庆的大规模住户调查数据（71,170名居民）开发了一个综合分析框架。我们的方法首先应用潜在狄利克雷分配（Latent Dirichlet Allocation， LDA）建模，将活动模式识别重构为文档分类任务，生成活动主题的概率分布。随后的聚类分析提取了异质性的城市交通模式，而分类回归树（CART）模型揭示了这些模式与社会经济属性之间的相关性，以指导ABM特征选择。对于需求预测，我们实现了一种混合粒子群优化-随机森林（PSO-RF）算法，该算法同时预测活动序列（考虑时间依赖性）、活动持续时间（考虑非家庭初始活动唯一性）和链式旅行模式选择。该框架通过定制的计算策略明确解决了数据不平衡、序列内相关性和行程链决策动力学。该方法已使用精度指标和SHapley可加性解释（SHAP）分析进行了严格验证，得出了定量绩效评估和可解释的重庆活动-旅行模式政策见解。这种综合方法可以为高密度城市的基于活动的需求建模和分析提供数据驱动的解决方案。

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引用次数: 0

Quantifying willingness-to-walk across varying urban visual contexts using a global-local path choice model 使用全局-局部路径选择模型量化不同城市视觉环境下的步行意愿

IF 6.3 2区工程技术 Q1 ECONOMICS

Journal of Transport Geography

Pub Date : 2025-12-01 DOI: 10.1016/j.jtrangeo.2025.104502

Jianbiao Wang, Yuki Oyama

Understanding pedestrians' preferences for network and street attributes is essential for improving walkability, but conclusions from previous studies vary. Thus, to comprehensively investigate pedestrians' preferences, this study conducts a comparative analysis of walking route choices across six areas around stations in the Tokyo metropolitan region. The six selected areas represent a range of typical urban contexts. The focus is on two types of attributes: global attributes, which pedestrians can consistently perceive (e.g., route length) in the whole network, and local attributes, which they can only perceive at local surroundings through visual observation (e.g., streetscapes). A global-local path choice model, a state-of-the-art path choice model proposed by Oyama (2024a), is used to incorporate both types of attributes. The estimation shows consistent preferences for global attributes across all areas, with pedestrians generally preferring wide sidewalks and avoiding crosswalks and long paths. However, the responses to local streetscape attributes are consistent in some areas, while varying in others, highlighting the context-specific nature of pedestrian preferences. To ensure fair and consistent comparisons across different areas, willingness-to-walk (WTW) is calculated as an indicator of the additional distance pedestrians are willing to walk in response to a unit improvement in a specific attribute. Given that pedestrians perceive environmental attributes differently, WTW is derived and analyzed separately for global and local attributes. For global attributes, widening sidewalks is identified as the most effective strategy in the Omiya area. Regarding local streetscape characteristics, enhancing the open sky view emerges as the most effective intervention across all areas. Moreover, increasing green vegetation is particularly recommended in residential areas, while it may not be necessary in other types of urban settings. These findings offer valuable insights to inform policy decisions on context-sensitive pedestrian infrastructure and streetscape design strategies.

了解行人对网络和街道属性的偏好对于改善步行性至关重要，但以往研究的结论各不相同。因此，为了全面调查行人的偏好，本研究对东京大都市区车站周围六个区域的步行路线选择进行了比较分析。选定的六个区域代表了一系列典型的城市环境。重点是两种类型的属性：全局属性，行人可以在整个网络中一致地感知（例如，路线长度）；局部属性，他们只能通过视觉观察在局部环境中感知（例如，街景）。一个全局-局部路径选择模型，一个由Oyama （2024a）提出的最先进的路径选择模型，被用来合并这两种属性。该估计显示了所有区域对全局属性的一致偏好，行人通常更喜欢宽的人行道，避免人行横道和长路径。然而，对当地街景属性的反应在某些地区是一致的，而在其他地区则有所不同，突出了行人偏好的特定环境性质。为了确保在不同区域之间进行公平和一致的比较，步行意愿（WTW）被计算为行人在响应特定属性的单位改进时愿意步行的额外距离的指标。考虑到行人对环境属性的感知不同，本文将WTW的全局属性和局部属性分别推导和分析。对于全局属性，拓宽人行道被认为是Omiya地区最有效的策略。考虑到当地的街景特点，增强开放的天空景观成为所有区域最有效的干预措施。此外，特别建议在住宅区增加绿色植被，而在其他类型的城市环境中可能没有必要。这些发现为环境敏感型行人基础设施和街道景观设计策略的政策决策提供了有价值的见解。

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引用次数: 0

Optimization of China's foreign trade container liner shipping network considering the risks and uncertainty of transit time of shipping corridors 考虑海运走廊运输时间风险和不确定性的中国外贸集装箱班轮运输网络优化

IF 6.3 2区工程技术 Q1 ECONOMICS

Journal of Transport Geography

Pub Date : 2025-12-01 DOI: 10.1016/j.jtrangeo.2025.104495

Xu Yi , Kang Chen , Zhongzhen Yang

In the context of the China-Railway Express (CRE) diversifying intercontinental transportation modes and the Northern Sea Route (NSR) expanding intercontinental shipping corridors, frequent regional political crises and military conflicts have increased the risks and costs associated with intercontinental transportation, threatening the stability of the international supply chain. This paper first quantifies the risk costs of international shipping corridors based on data related to global political conflicts, military conflicts, and piracy incidents, identifying the probability distributions of the risk costs of the corridors. Secondly, the historical navigation data of ships in the NSR are utilized to fit the probability distribution of transit times for the NSR. Then, for addressing the freight demand for trade container transportation in China, a liner shipping network optimization model is established with considering the corridor risks and uncertainties in NSR transit time. The model optimizes the liner shipping network for coordinal transporting China's domestic and foreign trade containers and determines the containers' travel routes. Finally, the heuristic algorithm based on Sample Average Approximation (SAA) is proposed to solve the stochastic planning model, and a numerical analysis on the case of China-Europe trade transportation verifies the validity and feasibility of the model and clarify the sensitivity of parameter settings.

在中铁班列洲际运输方式多样化、北方海路洲际航运走廊不断拓展的背景下，频繁发生的地区政治危机和军事冲突增加了洲际运输的风险和成本，威胁着国际供应链的稳定。本文首先基于全球政治冲突、军事冲突和海盗事件的相关数据，量化了国际航运走廊的风险成本，确定了走廊风险成本的概率分布。其次，利用航道内船舶历史航行数据拟合航道通过次数的概率分布；然后，针对中国贸易集装箱运输的货运需求，建立了考虑通道风险和NSR中转时间不确定性的班轮运输网络优化模型。该模型优化了中国内外贸集装箱协调运输的班轮运输网络，确定了集装箱的运输路线。最后，提出了基于样本平均近似（SAA）的启发式算法求解随机规划模型，并以中欧贸易运输为例进行了数值分析，验证了模型的有效性和可行性，阐明了参数设置的敏感性。

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引用次数: 0

Utilizing long-term crowdsourced sparse trajectory data to extract temporal regularity in behavioral patterns 利用长期众包稀疏轨迹数据提取行为模式的时间规律

IF 6.3 2区工程技术 Q1 ECONOMICS

Journal of Transport Geography

Pub Date : 2025-11-30 DOI: 10.1016/j.jtrangeo.2025.104494

Hyungsub Jee , Jan-Dirk Schmöcker , Theeranai Pullarp , Kari Edison Watkins , Sean Barbeau

In response to the increasingly diverse and evolving travel patterns, capturing comprehensive and long-term data on travel behavior has become critical for designing effective transport policies. We conducted experiments using the real-time transit information application OneBusAway in which we asked Android OneBusAway users if they are willing to provide location data. To save battery, rather than continuously tracking the trajectory, relatively sparse data is recorded only when the Google's Android Activity Transition Application Programming Interface detects a transition of the mobile device's activities, including “still,” “in-vehicle,” “walking,” “running” and “on-bicycle.” As the data are only collected in the background, many users provided data long-term, allowing us to collect four years of data from more than 7000 users. We analyzed the movements of users who provided meaningful data over most of this period. By applying Fast Fourier Transforms to the activity data over the observation period, we are able to analyze the sparse dataset even with incomplete records. Based on extracting likely public transport trips from the data we identify those with temporal regular public transport usage and classify them as “regular” riders. We find that temporal regularity is associated with spatial regularity and that in particular regular public transport users have less diverse spatial travel patterns. Such differences between regular public transport and regular car users can be used to develop an index for the public transport network quality. We also find that regular public transport users spend more time on walking activities, which can lead to improved health outcomes.

为了应对日益多样化和不断演变的旅行模式，获取关于旅行行为的全面和长期数据对于设计有效的交通政策至关重要。我们使用实时交通信息应用程序OneBusAway进行了实验，我们询问Android OneBusAway用户是否愿意提供位置数据。为了节省电池，谷歌的Android活动转换应用程序编程接口（Android Activity Transition Application Programming Interface）只在检测到移动设备的活动转换（包括“静止”、“车内”、“步行”、“跑步”和“骑自行车”）时，才会记录相对稀疏的数据，而不是持续跟踪轨迹。由于数据只在后台收集，许多用户提供了长期的数据，使我们能够收集超过7000名用户四年的数据。我们分析了在这段时间里提供有意义数据的用户的活动。通过对观测期间的活动数据应用快速傅里叶变换，我们可以在不完整记录的情况下分析稀疏数据集。基于从数据中提取可能的公共交通出行，我们识别出那些暂时经常使用公共交通的人，并将他们归类为“常规”乘客。我们发现，时间的规律性与空间的规律性有关，特别是经常使用公共交通工具的人，他们的空间旅行模式的多样性较小。经常使用公共交通工具和经常使用私家车的人之间的这种差异可以用来制定公共交通网络质量指标。我们还发现，经常乘坐公共交通工具的人花更多的时间在步行活动上，这可以改善健康状况。

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