Journal of Transport Geography最新文献_第10页

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 : 2026-01-01 Epub 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

Spatial heterogeneity and multimodal complementarity in travel behavior resilience under extreme rainfall: A machine learning approach 极端降雨下出行行为弹性的空间异质性和多模态互补性：一种机器学习方法

IF 6.3 2区工程技术 Q1 ECONOMICS

Journal of Transport Geography

Pub Date : 2026-01-01 Epub Date: 2025-11-01 DOI: 10.1016/j.jtrangeo.2025.104472

Na Zhao, Yan Zhang, Yuwen Lu, Guofang Zhai

The impact mechanism of extreme rainfall on urban travel behavior resilience and the complementary effects of multimodal transportation are key topics in resilience city research. Based on the early morning peak OD data at the street scale in Shanghai, this study constructs a resilience analysis framework based on the XGBoost machine learning model and SHAP interpretability methods. By utilizing 21 types of socio-spatial features, the framework accurately classifies and predicts the travel resilience performance of over 1100 OD pairs in both road and metro modes, while also identifying key influencing factors. The findings are as follows: (1) Under extreme rainfall, metro mode demonstrates stronger resilience performance in overall travel compared to road mode (showing only a 29 % relative decrease in passenger flow versus 41 % for roads). However, the metro shows weaker resilience performance for long-distance travel, highlighting the irreplaceable role of roads in maintaining urban-rural connectivity; (2) Travel behavior resilience exhibits a ‘core-periphery’ gradient: central areas, supported by high-density infrastructure and mixed land use, demonstrate stronger resilience performance, whereas peripheral regions—such as southern Pudong—show significantly lower resilience performance due to limitations in network coverage; (3) The complementary effects of multimodal transportation exhibit spatial variation: in the core areas, short-distance OD pairs rely on metro mode to absorb road overflow demands through high-density stations, while for cross-zone flows from the city center to the outer ring, roads compensate for metro coverage shortcomings with flexibility and network breadth. The proposed “facility-land use-accessibility” multidimensional resilience assessment framework provides theoretical support and methodological guidance for transportation planning in cities to cope with extreme climate events.

极端降雨对城市出行行为弹性的影响机制和多式联运的互补效应是弹性城市研究的热点问题。基于上海市街道尺度清晨高峰OD数据，构建了基于XGBoost机器学习模型和SHAP可解释性方法的弹性分析框架。该框架利用21种社会空间特征，对1100多个OD对在道路和地铁模式下的出行弹性性能进行了准确分类和预测，并确定了关键影响因素。研究结果如下：(1)在极端降雨情况下，地铁模式在整体出行中表现出比公路模式更强的弹性表现（客流量相对减少29%，而公路模式则减少41%）。而地铁长途出行弹性表现较弱，凸显了道路在保持城乡互联互通中的不可替代作用；②旅游行为弹性表现出“核心-外围”梯度，在高密度基础设施和混合土地利用的支撑下，中心地区的弹性表现较强，而周边地区（如浦东南部）由于网络覆盖的限制，弹性表现明显较低；③多式联运的互补效应呈现空间差异：在核心区，短距离OD对依靠地铁方式通过高密度站点吸收道路溢出需求，而在城市中心至外环的跨区域流动中，道路以灵活性和网络宽度弥补地铁覆盖的不足。提出的“设施-土地利用-可达性”多维弹性评估框架为城市应对极端气候事件的交通规划提供了理论支持和方法指导。

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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 : 2026-01-01 Epub 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

Support for car-restrictive policies between individual affectedness, eco-consciousness, and fear of ecological gentrification. Evidence from a vignette analysis in Berlin 在个人影响、生态意识和对生态士绅化的恐惧之间，支持限车政策。证据来自柏林的一个小插曲分析

IF 6.3 2区工程技术 Q1 ECONOMICS

Journal of Transport Geography

Pub Date : 2026-01-01 Epub Date: 2025-10-22 DOI: 10.1016/j.jtrangeo.2025.104441

Katja Salomo , Theresa Pfaff , Lisa Ruhrort , Franziska Zehl

As cars account for about one sixth of all greenhouse gas emissions in Germany, a sustainable transformation of the German transport system is essential to combat climate change. However, effective policies to reduce private car use are often broadly unpopular. To better understand why, we conducted a representative survey of residents in two densely populated Berlin neighborhoods with extensive public transportation infrastructure in 2021 (N = 1041). With the help of the local municipality, we constructed three hypothetical scenarios (vignettes) of varying intrusiveness in restricting parking and other spatial privileges of private cars. We aim to identify the role of different individual-level factors for the acceptance of such policy measures: individual affectedness (habits of using private cars and other modes of transport), awareness of local problems caused by motorized private transport, general eco-consciousness, socio-economic status, and fear of rising rents in the neighborhood caused by the proposed policies. We find that individual affectedness, fear of rising rents, eco-consciousness, and, to a lesser extent local problem awareness explain about 56 % of the variation in residents' support for the policy. The socioeconomic status of residents (income, educational attainment, relative deprivation) is not an effective indicator of how they perceive car-restrictive policies. The fear of rising rents has not been widely acknowledged as a factor driving resistance to car-restrictive policies, and thus merits greater attention from both researchers and politicians.

由于汽车排放的温室气体约占德国温室气体排放总量的六分之一，德国交通系统的可持续转型对应对气候变化至关重要。然而，减少私家车使用的有效政策往往不受欢迎。为了更好地理解其中的原因，我们在2021年对柏林两个人口稠密、公共交通基础设施广泛的社区的居民进行了一项有代表性的调查（N = 1041）。在当地市政当局的帮助下，我们构建了三个假设的场景（小场景），这些场景在限制私家车停车和其他空间特权方面具有不同的侵入性。我们的目标是确定不同的个人层面因素在接受这些政策措施方面的作用：个人影响（使用私家车和其他交通方式的习惯），对机动私人交通造成的当地问题的认识，一般的生态意识，社会经济地位，以及对拟议政策导致的社区租金上涨的恐惧。我们发现，个人影响、对租金上涨的恐惧、生态意识，以及在较小程度上的地方问题意识，解释了居民对政策支持的56%的变化。居民的社会经济地位（收入、受教育程度、相对贫困）并不是他们如何看待限车政策的有效指标。对租金上涨的恐惧并没有被广泛认为是抵制限车政策的一个因素，因此应该得到研究人员和政治家的更多关注。

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引用次数: 0

From coal exports to green steel production? The role of circular economy precincts for sustainable port diversification 从煤炭出口到绿色钢铁生产？循环经济对港口可持续多样化的作用

IF 6.3 2区工程技术 Q1 ECONOMICS

Journal of Transport Geography

Pub Date : 2026-01-01 Epub Date: 2025-11-05 DOI: 10.1016/j.jtrangeo.2025.104478

Veronica Schulz , Michael G.H. Bell , John M. Rose , Jason Monios , D. Glenn Geers

This study examines the potential for establishing a circular economy precinct centred around green steel production at the Port of Newcastle, Australia, as a strategy to diversify the port and hinterland away from its reliance on coal exports. Using system dynamics modelling and sensitivity analysis, the study assesses the economic viability of green steel production under various market conditions, including fluctuations in green steel pricing, carbon credit values, and production costs. The findings reveal that while green steel production offers promising profitability, its economic success is highly sensitive to production costs, supply of material inputs, changes in carbon credit prices and market dynamics. We found that the precinct would be feasible under high steel prices and premiums, achieving monthly profits of up to $8.25 million by 2025 and $15.5 million by 2050, but it remains sensitive to low steel prices and high Australian Carbon Credit Unit (ACCU) costs, requiring up to $140 per ACCU to break even in low-price scenarios. The study highlights the importance of supportive policy measures, such as increased ACCU allocation, renewable energy infrastructure development, and market incentives like green steel certification and government procurement mandates, to enhance the viability of this diversification strategy.

本研究探讨了在澳大利亚纽卡斯尔港建立一个以绿色钢铁生产为中心的循环经济区的潜力，作为使港口和腹地多样化的战略，以摆脱对煤炭出口的依赖。利用系统动力学建模和敏感性分析，本研究评估了绿色钢铁生产在各种市场条件下的经济可行性，包括绿色钢铁定价、碳信用值和生产成本的波动。研究结果表明，尽管绿色钢铁生产提供了可观的盈利能力，但其经济成功对生产成本、材料投入供应、碳信用价格变化和市场动态高度敏感。我们发现，在高钢铁价格和溢价的情况下，该区域是可行的，到2025年实现每月高达825万美元的利润，到2050年实现1550万美元的利润，但它仍然对低钢铁价格和高澳大利亚碳信用单位（ACCU）成本敏感，在低价格情景下，每个ACCU需要高达140美元的盈亏平衡。该研究强调了支持性政策措施的重要性，如增加ACCU分配，可再生能源基础设施发展，以及绿色钢铁认证和政府采购授权等市场激励措施，以提高这一多样化战略的可行性。

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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 : 2026-01-01 Epub 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

Exploring the intersection of gender with walking, the built environment, and health outcomes via the All of Us dataset 通过“我们所有人”数据集探索性别与步行、建筑环境和健康结果的交集

IF 6.3 2区工程技术 Q1 ECONOMICS

Journal of Transport Geography

Pub Date : 2026-01-01 Epub Date: 2025-10-28 DOI: 10.1016/j.jtrangeo.2025.104468

Yuxi Shen, Alyssa Ryan

<div><div>The relationships between perceived built environment, walking behavior, and subjective health outcomes remain underexplored in large, diverse populations, particularly regarding gender differences. Using data from 16,915 participants in the All of Us Research Program, we applied multilevel regression models and multilevel Structural Equation Modeling (SEM) to examine how perceived built environment factors influence walking and subsequent health outcomes. Multilevel regression models reveal that shops access (<span><math><mrow><mi>β</mi><mo>=</mo><mn>0</mn><mo>.</mo><mn>018</mn></mrow></math></span>, <span><math><mrow><mi>p</mi><mo><</mo><mn>0</mn><mo>.</mo><mn>001</mn></mrow></math></span>), recreation facilities access (<span><math><mrow><mi>β</mi><mo>=</mo><mn>0</mn><mo>.</mo><mn>020</mn></mrow></math></span>, <span><math><mrow><mi>p</mi><mo><</mo><mn>0</mn><mo>.</mo><mn>001</mn></mrow></math></span>), and male gender (<span><math><mrow><mi>β</mi><mo>=</mo><mn>0</mn><mo>.</mo><mn>069</mn></mrow></math></span>, <span><math><mrow><mi>p</mi><mo><</mo><mn>0</mn><mo>.</mo><mn>001</mn></mrow></math></span>) positively predict walking time. By contrast, transit access and perceived safety day are negatively associated with walking (<span><math><mrow><mi>β</mi><mo>=</mo><mo>−</mo><mn>0</mn><mo>.</mo><mn>012</mn></mrow></math></span>, <span><math><mrow><mi>p</mi><mo><</mo><mn>0</mn><mo>.</mo><mn>05</mn></mrow></math></span>, <span><math><mrow><mi>β</mi><mo>=</mo><mo>−</mo><mn>0</mn><mo>.</mo><mn>027</mn></mrow></math></span>, <span><math><mrow><mi>p</mi><mo><</mo><mn>0</mn><mo>.</mo><mn>05</mn></mrow></math></span>). SEM analyses demonstrated that walking serves as a significant mediator linking perceived built environment features to health outcomes, while built environment characteristics also showed direct associations with health independent of walking behavior. Wald tests revealed significant gender differences in health pathways: the positive association between walking and physical health was stronger for females (<span><math><mrow><mi>β</mi><mo>=</mo><mn>0</mn><mo>.</mo><mn>162</mn></mrow></math></span>) than for males (<span><math><mrow><mi>β</mi><mo>=</mo><mn>0</mn><mo>.</mo><mn>099</mn></mrow></math></span>; <span><math><mrow><mi>Δ</mi><mi>β</mi><mo>=</mo><mn>0</mn><mo>.</mo><mn>063</mn></mrow></math></span>, <span><math><mrow><mi>p</mi><mo>=</mo><mn>0</mn><mo>.</mo><mn>015</mn></mrow></math></span>). In addition, age showed stronger positive associations with both physical health (<span><math><mrow><mi>Δ</mi><mi>β</mi><mo>=</mo><mn>0</mn><mo>.</mo><mn>056</mn></mrow></math></span>, <span><math><mrow><mi>p</mi><mo><</mo><mn>0</mn><mo>.</mo><mn>001</mn></mrow></math></span>) and mental health (<span><math><mrow><mi>Δ</mi><mi>β</mi><mo>=</mo><mn>0</mn><mo>.</mo><mn>055</mn></mrow></math></span>, <span><math><mrow><mi>p</mi><mo><</mo><mn>0</mn><mo>.</mo><mn>001</mn></mrow></math></span>) among females. These find

感知建筑环境、步行行为和主观健康结果之间的关系在大量不同人群中仍未得到充分探讨，特别是在性别差异方面。利用来自16,915名“我们所有人”研究项目参与者的数据，我们应用多层回归模型和多层结构方程模型（SEM）来研究感知的建筑环境因素如何影响步行和随后的健康结果。多水平回归模型显示，购物便利性（β=0.018, p<0.001）、娱乐设施便利性（β=0.020, p<0.001）和男性性别（β=0.069, p<0.001）正向预测步行时间。相比之下，交通通道和感知安全日与步行呈负相关（β= - 0.012, p<0.05, β= - 0.027, p<0.05）。扫描电镜分析表明，步行是将感知到的建筑环境特征与健康结果联系起来的重要中介，而建筑环境特征也显示出与健康的直接关联，而不依赖于步行行为。沃尔德检验揭示了健康途径的显著性别差异：女性（β=0.162）比男性（β=0.099； Δβ=0.063, p=0.015）走路与身体健康之间的正相关更强。此外，年龄与女性的身体健康（Δβ=0.056, p<0.001）和心理健康（Δβ=0.055, p<0.001）呈较强的正相关。这些发现强调，性别调节了环境-步行-健康路径，突出了在城市规划中制定性别敏感政策以促进步行和改善公共卫生的必要性。

引用次数: 0

Calculated and perceived accessibility: A path analysis to evaluate satisfaction with access to green spaces 计算可达性和感知可达性：一种评估绿色空间可达性满意度的路径分析

IF 6.3 2区工程技术 Q1 ECONOMICS

Journal of Transport Geography

Pub Date : 2026-01-01 Epub Date: 2025-11-07 DOI: 10.1016/j.jtrangeo.2025.104475

Frédéric Cournoyer, E.O.D. Waygood, Genevieve Boisjoly

Parks and green spaces are important components of cities and play a vital role in individuals' well-being.

Park quality and proximity to parks are key determinants of parks' usage and their associated benefits for individuals. Yet, most studies focus on users' satisfaction with park features, typically neglecting the influence of accessibility to parks. While a few studies have investigated proximity to parks, accessibility is a multidimensional concept that depends on multiple land use, transport and individual factors. Therefore, this study analyzes the relationship between accessibility to parks (both calculated and perceived) and satisfaction with accessibility. Three calculated accessibility measures (number, area, and quality of parks) and three perceived accessibility measures are assessed (overall access, parks meeting needs, number of parks). The case study (Montreal, Canada) uses data from a representative online survey of residents (n = 683). A path analysis is conducted to study the relationships between individual, land use and transport characteristics, along with calculated and perceived accessibility, to then assess the determinants of park access satisfaction. Results highlight the influence of walking infrastructure and walking to reach parks, as well as the lower perceived accessibility among women and lower-income individuals, and a strong association between perceived accessibility and satisfaction. Conversely, calculated measures of accessibility (e.g., number of parks) show clear shortcomings in understanding park access satisfaction. Thus, this study confirms the need for researchers and planners to assess individuals' perceptions of land use and transport infrastructure, along with their needs and preferences when analyzing residents' satisfaction level with park access.

公园和绿地是城市的重要组成部分，对个人的福祉起着至关重要的作用。公园的质量和邻近性是公园使用的关键决定因素及其对个人的相关利益。然而，大多数研究关注的是用户对公园特征的满意度，往往忽视了可达性对公园的影响。虽然有一些研究调查了与公园的接近程度，但可达性是一个多维概念，取决于多种土地利用、交通和个人因素。因此，本研究分析了公园可达性（计算性和感知性）与可达性满意度之间的关系。评估了三个计算可达性指标（公园数量、面积和质量）和三个感知可达性指标（总体可达性、公园满足需求、公园数量）。该案例研究（加拿大蒙特利尔）使用的数据来自一项有代表性的居民在线调查（n = 683）。通过路径分析，研究个人、土地利用和交通特征之间的关系，以及计算和感知的可达性，从而评估公园可达性满意度的决定因素。研究结果强调了步行基础设施和步行到达公园的影响，以及女性和低收入个体感知的可达性较低，以及感知的可达性与满意度之间的强烈关联。相反，可达性的计算方法（如公园数量）在理解公园可达性满意度方面显示出明显的缺陷。因此，这项研究证实了研究人员和规划者在分析居民对公园通道的满意度时，需要评估个人对土地利用和交通基础设施的看法，以及他们的需求和偏好。

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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 : 2026-01-01 Epub 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

The new commute: Is teleworking stimulating residential and workplace relocations? 新的通勤方式：远程办公是否会刺激住宅和工作场所的搬迁？

IF 6.3 2区工程技术 Q1 ECONOMICS

Journal of Transport Geography

Pub Date : 2026-01-01 Epub Date: 2025-11-01 DOI: 10.1016/j.jtrangeo.2025.104471

Jente Versigghel , Alireza Ermagun , Hannah Hook , Jonas De Vos , Frank Witlox

As teleworking becomes increasingly embedded in contemporary work arrangements, its broader impacts on mobility and settlement patterns remain unclear. This study investigates the extent to which teleworking, alongside sociodemographic, household, employment, travel, and residential factors, influences job and residential relocation behaviour. Using data from an online survey of 1290 workers in East Flanders, Belgium, conducted between October 2023 and January 2024, this study estimates two multinomial logit models: one assessing relocation behaviour over the past three years, and another examining future relocation intentions. Results indicate that job changes and job change intentions are partially associated with telework-related factors, such as unmet telework preferences and dual-teleworker household status. However, residential relocation decisions are shaped more strongly by life stage, household composition, housing conditions, and neighbourhood and commuting experiences. These findings highlight the need to understand teleworking within its broader socio-spatial context, as teleworking alone does not appear to drive large-scale shifts in residential or employment location.

随着远程办公越来越多地嵌入到当代工作安排中，其对流动性和定居模式的更广泛影响仍不清楚。本研究调查了远程办公以及社会人口、家庭、就业、旅行和居住因素对工作和居住搬迁行为的影响程度。该研究使用了2023年10月至2024年1月期间对比利时东弗兰德斯1290名工人进行的在线调查数据，估计了两种多项式逻辑模型：一种评估过去三年的搬迁行为，另一种评估未来的搬迁意图。结果表明，工作变动和工作变动意向与未满足的远程工作偏好和双远程工作家庭状况等远程工作因素存在部分关联。然而，生活阶段、家庭组成、住房条件、邻里和通勤经历对住宅搬迁决策的影响更大。这些发现强调了在更广泛的社会空间背景下理解远程办公的必要性，因为远程办公本身似乎并没有推动住宅或就业地点的大规模转变。

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引用次数: 0