Applied Geography最新文献_第2页

Decoding urban park use patterns from a day–night disparity perspective: Evidence from Nanjing using machine learning 从昼夜差异的角度解读城市公园使用模式：基于机器学习的南京证据

IF 5.4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2025-12-24 DOI: 10.1016/j.apgeog.2025.103885

Xun Zhang , Junyan Yang , Ao Cui , Yi Shi , Wenlong Li , Chen Zhang , Chenyang Zhang , Zhonghu Zhang , Zhihan Zhang

Urban parks are recognized as important public spaces that support the health and well-being of urban residents. Although georeferenced data have been widely applied in park evaluations, most existing studies address temporal variation by analyzing different time periods separately, rather than adopting a comparative perspective to identify distinct park typologies. This study utilized large-scale mobile phone data from Nanjing, China, to investigate day–night differences in park visitation patterns and their determinants. Using a multi-method analytical approach that integrates principal component analysis, Gaussian mixture model clustering, and random forest models, 169 urban parks were classified into three categories: nighttime local leisure parks, daytime comprehensive leisure parks, and all-day balanced community parks. The results reveal that design and diversity dimensions exerted a consistent influence across park types, ranking among the top two contributors. In contrast, transit accessibility significantly shaped stay duration only in all-day balanced community parks, accounting for 10.64 % of the average relative importance. Moreover, different built-environment elements displayed threshold effects, such as the rapid rise in visiting distance disparities in daytime comprehensive leisure parks when the density of security facilities exceeded 0.4. Conversely, when the number of bus-stops further increased beyond 7, a pronounced accessibility saturation effect emerged, such that additional transit supply no longer influenced day–night stay-duration disparities in all-day balanced community parks. These findings underscore the importance of comparative temporal analysis for characterizing park use and highlight the need for refined, context-sensitive strategies to enhance the effectiveness and inclusiveness of urban park services.

城市公园被认为是支持城市居民健康和福祉的重要公共空间。虽然地理参考数据已被广泛应用于公园评价，但大多数现有研究都是通过单独分析不同时间段来解决时间变化问题，而不是采用比较的视角来识别不同的公园类型。本研究利用来自中国南京的大规模手机数据，调查了公园游客模式的昼夜差异及其决定因素。采用主成分分析、高斯混合模型聚类和随机森林模型相结合的多方法分析方法，将169个城市公园划分为夜间局部休闲公园、白天综合休闲公园和全天平衡社区公园三类。结果显示，设计和多样性维度对公园类型的影响是一致的，排在前两位。相比之下，交通可达性仅在全日平衡型社区公园中显著影响停留时间，占平均相对重要性的10.64%。不同的建成环境要素表现出阈值效应，如白天综合休闲公园安保设施密度超过0.4时，游客距离差异迅速增大。相反，当公交站点数量进一步增加到7个以上时，出现了明显的可达性饱和效应，即额外的交通供应不再影响全天候平衡社区公园的昼夜停留时间差异。这些发现强调了比较时间分析对公园使用特征的重要性，并强调了需要完善的、环境敏感的策略来提高城市公园服务的有效性和包容性。

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引用次数: 0

Exploring traveler roles based on potential group travelers extracted from metro smart card data 基于从地铁智能卡数据中提取的潜在团体旅行者，探索旅行者角色

IF 5.4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2025-12-19 DOI: 10.1016/j.apgeog.2025.103872

Xiaoying Shi , Ruixuan Wang , Chao Wu , Dandan Liu , Haitao Xu , Yongping Zhang

Understanding group travel behavior is essential for unraveling the social dynamics underlying urban mobility, supporting more accurate demand forecasting and targeted service planning. Although previous studies have examined the mobility patterns of familiar strangers and group travelers, the spatiotemporal characteristics of group travel across different traveler roles remain underexplored. To fill this gap, this paper proposes an analytical framework for systematically exploring traveler roles in potential group travel behavior. We first identify potential social trips using the concept of spatiotemporal co-existence and then construct a large-scale social network of potential group travelers. By analyzing node features of the network, travelers are classified into distinct groups and the spatiotemporal mobility patterns of each group are subsequently examined. We employ a large-scale smart card dataset from Shanghai's metro system as a case study. The results indicate that potential social trips are more likely to occur during non-commuting hours. Social travelers exhibit high levels of group travel activity, while social isolators show low engagement in group travel except at major transportation hubs, likely for business-related purposes. Weekday- and holiday-preferred group travelers display spatial preferences associated with medical and recreational destinations, respectively. These findings offer valuable insights for socially aware transportation planning and user-centric urban policy-making.

了解团体旅游行为对于揭示城市流动性背后的社会动态、支持更准确的需求预测和有针对性的服务规划至关重要。尽管已有研究考察了熟悉陌生人和团体旅行者的流动模式，但不同旅行者角色的团体旅行时空特征仍未得到充分探讨。为了填补这一空白，本文提出了一个分析框架来系统地探索旅行者在潜在的团体旅行行为中的角色。我们首先利用时空共存的概念识别潜在的社会旅行，然后构建潜在团体旅行者的大规模社会网络。通过对网络节点特征的分析，将出行者划分为不同的群体，并对每个群体的时空迁移模式进行了分析。我们使用上海地铁系统的大规模智能卡数据集作为案例研究。结果表明，潜在的社交旅行更有可能发生在非通勤时间。社交旅行者表现出高水平的团体旅行活动，而社交隔离者在团体旅行中表现出较低的参与度，除了在主要的交通枢纽，可能是出于与商业相关的目的。平日和假日偏好的团体旅行者分别显示出与医疗目的地和娱乐目的地相关的空间偏好。这些发现为具有社会意识的交通规划和以用户为中心的城市决策提供了有价值的见解。

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引用次数: 0

Polycentric urban structure identification and spatial‒temporal evolution analysis using a multisource remote sensing composite network 基于多源遥感复合网络的多中心城市结构识别与时空演化分析

IF 5.4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2025-12-19 DOI: 10.1016/j.apgeog.2025.103866

Zhiwei Xie, Zhenkun Weng, Zhonghua Wang, Lishuang Sun, Mingliang Yuan

It is essential to comprehend the polycentric urban structure (PUS) in order to facilitate resource allocation, economic development, and social interactions. Current research mostly uses single-source data such as nighttime light data that reflects social characteristics or optical remote sensing data that reflects natural characteristics, without considering that the formation of PUS is the result of the combined action of social and natural factors. In response to this problem, this paper proposes a method for identifying and analyzing the evolution of PUS using a composite urban network. A network construction method utilizing adaptive fusion weights is employed to integrate nighttime light data and optical remote sensing networks into a composite urban network, facilitating multi-source data fusion. The Louvain algorithm is employed to partition the communities of the composite urban network, while the central nodes are identified using a degree centrality measure based on the Comprehensive Strength Index (CSI). Subsequently, polycentric urban regions (PURs) and urban centers (UCs) are derived by mapping the communities and central nodes to optical image objects. The spatial-temporal evolution of PUS indicates urban development. This study focuses on China's regional center cities, such as Wuhan, Chengdu, Shenzhen, Nanjing, Xi'an and Shenyang, utilizing Visible Infrared Imaging Radiometer Suite/National Polar-orbiting Partnership (VIIRS/NPP) and Landsat 8 data from 2013 to 2020 as the experimental dataset. The experimental results indicate that the mean accuracy of PURs identification utilizing a composite urban network (CUN) is 81.12 %, surpassing the accuracy achieved with the nighttime light urban network (NUN) by 5.09 % and the optical remote sensing urban network (OUN) by 5.13 %. For UCs identification, the traditional method based solely on weighted degree centrality (WDC) achieved a mean accuracy of 56.29 %, while the proposed Comprehensive Strength Index (CSI) method achieved 73.31 %, representing an improvement of 17.02 percentage points (a relative increase of approximately 30.2 %). The expanse of urban region is positively correlated with GDP, while the increase in the distance of urban center displacement indicates a reinforcement of urban polycentricity.

理解多中心城市结构对于促进资源配置、经济发展和社会互动至关重要。目前的研究多采用反映社会特征的夜间灯光数据或反映自然特征的光学遥感数据等单源数据，没有考虑到PUS的形成是社会因素和自然因素共同作用的结果。针对这一问题，本文提出了一种基于复合城市网络的PUS演化识别与分析方法。采用自适应融合权值的网络构建方法，将夜间灯光数据与光学遥感网络整合成复合城市网络，实现多源数据融合。采用Louvain算法对复合城市网络进行社区划分，采用基于综合强度指数（CSI）的度中心性度量来识别中心节点。随后，通过将社区和中心节点映射到光学图像对象，推导出多中心城市区域（PURs）和城市中心（UCs）。PUS的时空演变反映了城市的发展。以武汉、成都、深圳、南京、西安、沈阳等中国区域中心城市为研究对象，利用2013 - 2020年可见光红外成像辐射计套件/国家极轨合作伙伴关系（VIIRS/NPP）和Landsat 8数据作为实验数据集。实验结果表明，利用复合城市网络（CUN）识别的平均精度为81.12%，比夜间灯光城市网络（NUN）和光学遥感城市网络（OUN）的识别精度分别高出5.09%和5.13%。对于UCs的识别，仅基于加权度中心性（WDC）的传统方法的平均准确率为56.29%，而综合强度指数（CSI）方法的平均准确率为73.31%，提高了17.02个百分点（相对提高了约30.2%）。城市区域的扩大与GDP呈正相关，而城市中心位移距离的增加表明城市多中心性的增强。

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引用次数: 0

Local actors and urban green development in China's energy-rich regions: a case study of the Shanxi-Shaanxi-Inner Mongolia region 中国能源富集区的地方行动者与城市绿色发展：以晋陕内蒙地区为例

IF 5.4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2025-12-16 DOI: 10.1016/j.apgeog.2025.103871

Binkai Zheng , Yongyong Song , Yaping Wang , Siyou Xia , Xiping Yang , Beibei Ma , Dongqian Xue

Urban green development (UGD) in energy-rich regions has attracted growing attention. While the role of human actions as drivers of UGD has been widely emphasized, differences across governance contexts warrant further investigation. Existing studies have mostly focused on Global North countries, with limited attention to other regions. Through theoretical and empirical analyses of UGD in China's Shanxi–Shaanxi–Inner Mongolia (SSIM) region, where the governance framework differs significantly from that of the Global North, we examine the operational characteristics and interactive mechanisms of local actors. Our results indicate distinctive patterns in the Chinese case. Vertically, local governments' influence on UGD relies more on financial support and regulatory pressure from higher-level governments, whereas local enterprises are more sensitive to the urban green development environment. Horizontally, neighboring cities and intra-provincial local governments can jointly promote UGD, while enterprises operating across provincial boundaries exert negative spatial effects. These findings indicate that the impacts of different local actors on UGD vary by governance context, and that vertical-horizontal interactions function differently under diverse institutional arrangements. This highlights the importance of considering scalar dynamics, differentiating local actor types, and contextualizing governance backgrounds, thereby providing insights for advancing UGD in varied regional settings.

能源富集区的城市绿色发展日益受到人们的关注。虽然人类行为作为UGD驱动因素的作用已被广泛强调，但治理背景之间的差异值得进一步调查。现有的研究主要集中在全球北方国家，对其他地区的关注有限。通过对中国晋陕内蒙地区UGD的理论和实证分析，我们考察了地方行动者的运作特征和互动机制，该地区的治理框架与全球北方地区存在显著差异。我们的结果在中国的案例中显示出独特的模式。纵向上，地方政府对UGD的影响更多地依赖于上级政府的财政支持和监管压力，而地方企业对城市绿色发展环境更为敏感。横向上，相邻城市和省内地方政府可以共同促进UGD，而跨省企业的经营则产生负空间效应。这些发现表明，不同的地方行为体对UGD的影响因治理环境而异，在不同的制度安排下，垂直水平互动的作用也不同。这突出了考虑标量动态、区分本地参与者类型和环境化治理背景的重要性，从而为在不同的区域设置中推进UGD提供了见解。

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引用次数: 0

Multiple trajectories of urban–rural ecosystem services disparities: Evidence from two decades of urbanization in China 城乡生态系统服务差异的多重轨迹：来自中国城市化20年的证据

IF 5.4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2025-12-15 DOI: 10.1016/j.apgeog.2025.103861

Yiman Zhang , Ting Hua , Shuai Liu , Shurong Zhang , Wenwu Zhao

Urbanization has triggered contrasting changes in landscape and ecosystem processes—such as growth in impervious surfaces and green spaces in urban regions, and both cropland abandonment and reclamation in rural areas. Such heterogeneous transformations may either widen or narrow urban–rural disparities in ecosystem services (ESs). However, national-scale investigation of the urban–rural disparities in ESs is still lacking. Based on spatially explicit models, we assess urban–rural disparities in ESs across China in the context of rapid urbanization over the past two decades. Our results show that urban–rural ES disparities in China followed multiple trajectories between 2000 and 2020, with widening disparities dominating. Particularly, disparities in carbon sequestration (CS) and habitat quality (HQ) tended to increase in northeastern forests, southwestern mountains, and tropical regions, while narrowing was more common in the northwest and central areas. Similar spatial patterns of urban–rural disparities were observed across multiple ESs, particularly in regions where urban ES levels increased significantly, while rural areas continued to maintain higher overall values. Additionally, the urban–rural interactions among ESs shifted from trade-offs to synergies in most regions, particularly in the Central Plains and the middle reaches of the Yellow River, reflecting the combined influence of urbanization and ecological restoration policies on ESs’ interaction. Our findings highlight the need for spatially targeted restoration strategies to support sustainable urban–rural development.

城市化引发了景观和生态系统过程的对比变化，例如城市地区不透水地表和绿地的增长，以及农村地区耕地的废弃和开垦。这种异质性转变可能会扩大或缩小生态系统服务（ESs）的城乡差异。然而，在全国范围内对城乡差距的调查仍然缺乏。基于空间显式模型，我们评估了过去20年中国快速城市化背景下的城乡差异。研究结果表明：2000 - 2020年，中国城乡社会服务差距呈现出多重发展轨迹，但以差距扩大为主。特别是在东北森林、西南山地和热带地区，碳固存（CS）和生境质量（HQ）的差异有增大的趋势，而在西北和中部地区则以缩小的趋势更为普遍。在多个ES中，城乡差异的空间格局相似，特别是在城市ES水平显著增加的地区，而农村地区继续保持较高的总体值。此外，以中原地区和黄河中游地区为代表的大部分地区，中小企业之间的城乡互动从“权衡”向“协同”转变，反映了城市化和生态恢复政策对中小企业互动的综合影响。我们的研究结果强调需要有空间针对性的恢复策略来支持可持续的城乡发展。

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引用次数: 0

Answering the governance gap in energy transition policies. Finding “acceptancy”, a representation discrepancy? 回答能源转型政策中的治理缺口。发现“可接受性”，一种表现差异？

IF 5.4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2025-12-14 DOI: 10.1016/j.apgeog.2025.103846

Louise Michelle Fitzgerald , Angélique Palle

EU countries are making significant changes to their energy sectors in response to the climate crisis. With an increasing understanding of the importance of the societal and spatial dimensions of energy and environmental transitions for policy success, this paper aims at a contribution on how to better understand and improve the quality of sustainability transition governance and the way it shapes geographic changes in resource exploitation and access.

In particular, the paper responds to the strong demand from policymakers for social sciences to help solving “acceptancy” issues of energy, and more widely environmental transition policies. Building on recent literature and drawing on an original in-depth case study, the paper deepens understandings of the inherently social and political nature of transition, and the need to deepen appreciations of this for successful transition policy.

In particular we contribute new insights into the impacts of representative discrepancies as government representations of transitions are implemented on the ground. We explore the practical implications of this representation discrepancy over how energy transition should be carried out in terms of governance and opposition tactics in a French case study, in Britanny, Morbihan.

为应对气候危机，欧盟国家正在对其能源部门进行重大改革。随着人们对能源和环境转型的社会和空间维度对政策成功的重要性的认识日益加深，本文旨在就如何更好地理解和提高可持续性转型治理的质量及其影响资源开发和获取的地理变化的方式做出贡献。特别是，本文回应了政策制定者对社会科学的强烈需求，以帮助解决能源和更广泛的环境转型政策的“可接受性”问题。基于最近的文献和原始的深入案例研究，本文加深了对转型内在的社会和政治性质的理解，以及深化对成功转型政策的赞赏的必要性。特别是，随着政府对转型的代表在实地实施，我们对代表性差异的影响提供了新的见解。我们在法国布列塔尼、莫尔比汉的一个案例研究中，探讨了这种代表差异对能源转型应如何在治理和反对策略方面进行的实际影响。

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引用次数: 0

Revealing the importance of urban water source areas in China by integrating supply and beneficiaries 从供给和受益两方面揭示中国城市水源地的重要性

IF 5.4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2025-12-13 DOI: 10.1016/j.apgeog.2025.103869

Haofu Liu , Zhifeng Liu , Binghua Gong , Dongjie Guan , Zhengtao Zhang , Shuhui Liu , Xufeng Mao , Chunyang He

Urban water source areas (UWSAs) are vital to urban water security and sustainability. Identifying important water source areas (IWSAs) is essential for their protection but is impeded by the lack of effective methods. We propose a novel method for assessing the importance of UWSAs by integrating the water supply capacity and the population of beneficiary cities and identify the spatial patterns of IWSAs for 100 major Chinese cities. Compared with traditional methods that consider only the water supply capacity, incorporating the population of beneficiary cities markedly enhances the importance of UWSAs in the upper Yellow River Basin (the importance of UWSAs up by 14.86 %), the upper Han River Basin (42.76 %), the lower Huai River Basin (21.52 %), and the Yalu River Basin (25.23 %). A total of 68.82 % of IWSAs are severely stressed by human activities. A protection gap of 0.54 million km² remains in IWSAs, which are not included in protected areas or key ecological function zones and continue to experience severe human stress. Even within protected IWSAs, 0.56 million km² of these areas continue to experience severe human stress. To ensure the security of urban water supplies, expanding protection coverage, strengthening management and oversight, establishing ecological compensation mechanisms, transforming urban water resource management, and encouraging public participation in conservation are crucial.

城市水源地对城市水安全和可持续发展至关重要。确定重要的水源地对保护水源地至关重要，但由于缺乏有效的方法而受到阻碍。本文提出了一种综合供水能力和受益城市人口的综合评价城市供水安全区域重要性的新方法，并对中国100个主要城市的城市供水安全区域的空间格局进行了识别。与仅考虑供水能力的传统方法相比，纳入受益城市人口显著提高了黄河上游流域、汉江上游流域、淮河下游流域和鸭绿江流域供水能力的重要性（分别提高了14.86%、42.76%、21.52%和25.23%）。68.82%的iwsa受到人类活动的严重破坏。未被纳入保护区或重点生态功能区，且人类活动压力持续较大的小生境保护区仍存在54万平方公里的保护缺口。即使在受保护的iwsa内，这些地区的56万平方公里继续遭受严重的人类压力。保障城市供水安全，必须扩大保护覆盖面，加强管理和监督，建立生态补偿机制，转变城市水资源管理方式，鼓励公众参与节约用水。

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引用次数: 0

Assessing supply and demand dynamics of urban green spaces for recreational activity: A massive GPS trajectory data analysis 城市休闲活动绿地供需动态评估：海量GPS轨迹数据分析

IF 5.4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2025-12-12 DOI: 10.1016/j.apgeog.2025.103868

Dengkai Huang , Yunjing Xu , Wenjie Liu , Qi Yuan

Urban green spaces (UGS) are vital for public health and well-being, yet their equitable provision remains a challenge for sustainable urban planning. While numerous studies have investigated the balance between supply and demand for recreational service in UGS, few have employed an integrated framework that captures the non-compensatory dimensions of supply and links them to high-resolution, activity-specific demand patterns while examining socioeconomic equity. This study develops a comprehensive framework to assess UGS supply-demand mismatches using large-scale GPS trajectory data from running and cycling activities in Helsinki, Finland. We constructed a multidimensional supply index integrating availability, quality, accessibility, and morphological characteristics, which was linked to high-resolution recreational demand metrics (e.g., frequency and intensity) derived from 27,349 running and 47,866 cycling trajectories. Our results reveal three key findings: First, we identify a distinct core-periphery gradient, with urban centres facing recreational undersupply and suburban areas exhibiting oversupply. Second, a dynamic mismatch analysis reveals significant temporal variations, including a seasonal southward shift of undersupplied areas towards coastal parks in summer and a more balanced supply-demand relationship on weekends. Third, socioeconomic status significantly influences these imbalances, with 84.4 % of undersupplied “cold spots” concentrated in higher housing-price neighbourhoods, while all oversupplied “hot spots” are located in lower housing-price areas. These findings highlight the need for targeted, time-sensitive interventions addressing both spatial and temporal mismatches within their socioeconomic contexts. Our approach offers a replicable model to optimize UGS allocation based on evidence of actual use patterns rather than conventional proximity-based metrics.

城市绿地对公共健康和福祉至关重要，但其公平提供仍然是可持续城市规划的一个挑战。虽然有许多研究调查了UGS娱乐服务的供需平衡，但很少有研究采用一个综合框架，在检查社会经济公平的同时，捕捉供应的非补偿性维度，并将其与高分辨率、特定活动的需求模式联系起来。本研究开发了一个综合框架，利用芬兰赫尔辛基跑步和自行车活动的大规模GPS轨迹数据来评估UGS供需不匹配。我们构建了一个多维供应指数，整合了可用性、质量、可达性和形态特征，并与27,349条跑步和47,866条骑行轨迹的高分辨率娱乐需求指标（例如频率和强度）相关联。我们的研究结果揭示了三个关键发现：首先，我们确定了一个明显的核心-边缘梯度，城市中心面临娱乐供应不足，郊区则表现出供应过剩。其次，动态失配分析揭示了显著的时间变化，包括夏季供应不足地区向沿海公园的季节性南移，以及周末更为平衡的供需关系。第三，社会经济状况对这些不平衡有显著影响，84.4%供应不足的“冷点”集中在房价较高的社区，而所有供应过剩的“热点”都位于房价较低的地区。这些发现突出表明，需要采取有针对性的、时效性强的干预措施，解决社会经济背景下的空间和时间不匹配问题。我们的方法提供了一个可复制的模型，基于实际使用模式的证据来优化UGS分配，而不是传统的基于邻近的指标。

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引用次数: 0

Mobility matters: Effects of campus location on travel burden and educational equity in a regional city 交通问题：区域城市校园位置对交通负担和教育公平的影响

IF 5.4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2025-12-11 DOI: 10.1016/j.apgeog.2025.103864

Sebastian D. Rossi , Elaine Stratford , Jason Byrne

Mobility affects higher education, shaping student aspirations and educational attainment, and staff capacities for teaching and research. Studies suggest that commuting burdens—such as longer travel distances and commute times—can lead to lower completion rates for students and reduced workplace satisfaction and productivity for staff. Such outcomes affect life course opportunities for individuals, and can negatively affect communities and societies. Few studies, however, use both theory and empirical evidence to examine how campus locations may affect staff and student mobilities and attendant spatial inequalities associated with travel for education. This paper addresses that knowledge gap using an intrinsic case study of a regional Australian university undergoing partial campus relocation from a privileged suburb to a central business district (CBD). Residential addresses for 12,157 staff and students were geolocated using a geographic information system (GIS) and travel patterns and accessibility were analysed for staff and student cohorts across two campuses. Results show nearly 25 % of the cohorts live outside the region's public transport network, and there were gendered and mode-specific differences in travel. On the strength of the evidence, we argue that campus transformations could (re)configure mobilities in ways that warrant closer attention. Steps that university leaders could take to redress transport disadvantage include: providing affordable student accommodation close to campuses, including for students with families; car-pool schemes; flexible timetabling of classes; intensive delivery options; and university-sponsored transit on demand services.

流动性影响高等教育，塑造学生的抱负和教育成就，以及教职员工的教学和研究能力。研究表明，通勤负担——比如更长的旅行距离和通勤时间——会导致学生的完成率降低，降低工作场所的满意度和员工的生产力。这些结果影响个人生命历程中的机会，并可能对社区和社会产生负面影响。然而，很少有研究同时使用理论和经验证据来研究校园位置如何影响教职员工和学生的流动性以及随之而来的与教育旅行相关的空间不平等。本文通过对澳大利亚一所地区大学的内部案例研究来解决这一知识差距，该大学正在将部分校园从优越的郊区搬迁到中央商务区（CBD）。使用地理信息系统（GIS）对12,157名教职员工和学生的居住地址进行了地理定位，并分析了两个校区教职员工和学生群体的出行模式和可达性。结果显示，近25%的人群生活在该地区公共交通网络之外，并且在出行方面存在性别和特定模式的差异。根据证据的强度，我们认为校园转型可以（重新）配置流动性的方式，值得更密切的关注。大学领导可以采取的措施包括：在校园附近为学生提供负担得起的住宿，包括为有家人的学生提供住宿；拼车方案;灵活的课程安排；密集交付方案；以及大学赞助的按需运输服务。

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引用次数: 0

Spatial linkage network patterns and driving mechanisms of urban land use efficiency: Evidence from Yangtze River Delta urban agglomeration, China 城市土地利用效率空间联系网络格局与驱动机制——来自长三角城市群的证据

IF 5.4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2025-12-10 DOI: 10.1016/j.apgeog.2025.103867

Yunpeng Zhang , Yan Sun , Hongtao Liang

The spatial linkage of urban land use efficiency within urban agglomerations plays a critical role in promoting the intensive use of regional resources and achieving sustainable development. Existing studies have primarily examined spatial linkages from the perspective of geographical proximity. However, systematic investigations into network-based spatial linkages and their underlying mechanisms remain insufficiently explored. This study employs a modified gravity model and social network analysis method to assess the spatial linkage network of urban land use efficiency among 41 cities in the Yangtze River Delta from 2003 to 2022 and further investigates its driving mechanisms. The results show that urban land use efficiency in the Yangtze River Delta displays a strong spatial correlation and a clear network structure. Efficiency spillovers are evident, with large cities acting as net beneficiaries and small to medium-sized cities serving as contributors or coordinators. The network's formation and evolution are jointly driven by structural features, spatial proximity, and city-specific attributes, reflecting a clear endogenous growth mechanism. Drawing on the results, this paper proposes policy recommendations designed to enhance urban land use efficiency and support sustainable governance practices across urban agglomerations.

城市群内城市土地利用效率的空间联动对促进区域资源集约利用和实现可持续发展具有重要意义。现有的研究主要是从地理接近的角度来考察空间联系。然而，对基于网络的空间联系及其潜在机制的系统调查仍未得到充分探索。采用修正重力模型和社会网络分析方法，对2003 - 2022年长三角41个城市土地利用效率空间联系网络进行了评价，并进一步探讨了其驱动机制。结果表明：长三角地区城市土地利用效率表现出较强的空间相关性和清晰的网络结构；效率溢出效应显而易见，大城市是净受益者，中小城市是贡献者或协调者。网络的形成与演化受结构特征、空间邻近性和城市属性的共同驱动，具有明显的内生增长机制。根据研究结果，本文提出了旨在提高城市土地利用效率和支持城市群可持续治理实践的政策建议。

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