Applied Geography最新文献_第8页

A multimodal framework for assessing park accessibility and equity from spatial proximity to experiential quality 一个从空间接近性到体验质量评估公园可达性和公平性的多模式框架

IF 5.4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2026-02-01 Epub Date: 2026-01-08 DOI: 10.1016/j.apgeog.2026.103893

Wenting Luo , Yuting Guo , Robert Tenzer , Yang Xu , Zhongtian Ma

Ensuring equal access to urban parks is vital for sustainable city development. However, prevailing assessment of park accessibility, which mainly rely on spatial proximity, offer a limited perspective by overlooking destination appeal and journey quality. Utilizing social media and street view images, this study proposes a novel multimodal framework that advanced the evaluation of park accessibility from spatial proximity to experiential quality. The framework first integrated online public feedback and offline facility quality using the PCA-AHP-TOPSIS method to evaluate park attractiveness. Then a greenery-perceived distance was proposed by integrating street-level visual greenness and travel distance across three modes to model the perceived impedance of journeys. The effectiveness of the proposed framework is tested in the main area of Wuhan, China. The results reveal that the proposed attraction coefficient correlates more strongly with actual park usage (R² = 0.68) than area-based metrics (R² = 0.41). Incorporating GVI significantly improves the explanatory power for visitation frequency, particularly for walking (R² increase from 0.45 to 0.50) and cycling (from 0.44 to 0.48). GVI's influence varies across travel modes: within a 30-min threshold, walking visitation shows a strong positive correlation with GVI while being weakly affected by distance, whereas distance remains the dominant deterrent for cycling and driving. A pronounced spatial disparity is identified, with 45.3 % of walking zones lacking park access within 30 min, highlighting a mismatch between accessibility and population density. This framework provides practical tools for urban planning and public health, contributing meaningfully to the long-term sustainable development of cities.

确保平等进入城市公园对城市可持续发展至关重要。然而，目前对公园可达性的评估主要依赖于空间接近性，忽视了目的地的吸引力和旅行质量，提供了有限的视角。利用社交媒体和街景图像，本研究提出了一个新的多模式框架，将公园可达性的评价从空间接近性提升到体验质量。该框架首先使用PCA-AHP-TOPSIS方法综合了在线公众反馈和离线设施质量来评估公园吸引力。在此基础上，结合三种模式下的街道视觉绿化度和出行距离，提出了一种绿色感知距离模型来模拟出行感知阻抗。该框架的有效性在中国武汉的主要地区进行了测试。结果表明，建议的吸引力系数与公园实际使用的相关性更强（R2 = 0.68），而不是基于区域的指标（R2 = 0.41）。纳入GVI显著提高了访问频率的解释力，尤其是步行（R2从0.45增加到0.50）和骑行（R2从0.44增加到0.48）。不同出行方式对GVI的影响存在差异：在30分钟阈值内，步行访问量与GVI呈强正相关，距离对GVI的影响较弱，而距离仍然是骑行和驾车的主要阻碍因素。研究还发现了明显的空间差异，45.3%的步行区在30分钟内没有公园通道，凸显了可达性与人口密度之间的不匹配。这一框架为城市规划和公共卫生提供了实用工具，对城市的长期可持续发展作出了有意义的贡献。

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引用次数: 0

Mapping precipitation-triggered landslide risks in global human settlements 测绘全球人类住区中降水引发的滑坡风险

IF 5.4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2026-02-01 Epub Date: 2025-12-25 DOI: 10.1016/j.apgeog.2025.103886

Kechao Wang , Xiangyuan Wu , Tzu-Hsin Karen Chen , Wu Xiao

Precipitation-triggered landslides represent a major hazard to human settlements, yet their risks remain unevenly distributed across regions. However, existing studies often lack accurate modeling of precipitation-induced landslide hazards and remain largely hazard-centric, with limited consideration of exposure and socioeconomic vulnerability. This study develops a spatially explicit framework to assess global landslide risks by integrating hazard, exposure, and vulnerability dimensions using multi-source satellite data. Landslide susceptibility was first modeled using extreme precipitation indices, terrain, vegetation, and soil variables within a Max Entropy framework. We then incorporated population density as a measure of exposure, together with indicators of socioeconomic vulnerability, including accessibility to healthcare and transport, economic development, and built-environment quality, to construct an integrated risk index. Results show pronounced spatial disparities: risk hotspots are concentrated in South and Southeast Asia, parts of sub-Saharan Africa, and regions of South America, where rapid urban growth coincides with limited adaptive capacity. In contrast, risks in Europe and North America are characterized by mixed drivers, reflecting both hazard conditions and relatively lower vulnerability. These findings highlight the uneven geography of landslide risks and provide spatial evidence to inform land-use planning, infrastructure investment, and disaster risk reduction strategies. By demonstrating the value of combining hazard, exposure, and vulnerability in a globally consistent framework, this study contributes to the applied geography of natural hazards and offers insights for risk-sensitive planning in diverse settlement contexts.

由降水引发的山体滑坡对人类住区构成了重大威胁，但其风险在不同地区的分布仍然不均匀。然而，现有的研究往往缺乏降水引起的滑坡灾害的准确建模，并且主要以灾害为中心，对暴露和社会经济脆弱性的考虑有限。本研究开发了一个空间明确的框架，利用多源卫星数据综合危害、暴露和脆弱性维度来评估全球滑坡风险。滑坡易感性首先在最大熵框架内使用极端降水指数、地形、植被和土壤变量进行建模。然后，我们将人口密度作为暴露的衡量标准，与社会经济脆弱性指标（包括医疗保健和交通的可及性、经济发展和建筑环境质量）结合起来，构建了一个综合风险指数。结果表明：风险热点地区集中在南亚和东南亚、撒哈拉以南非洲部分地区和南美地区，这些地区的城市快速增长与适应能力有限相吻合。相比之下，欧洲和北美的风险特点是混合驱动因素，反映了危险条件和相对较低的脆弱性。这些发现突出了滑坡风险的不均匀地理分布，并为土地利用规划、基础设施投资和减少灾害风险战略提供了空间证据。通过展示在全球一致的框架中结合危害、暴露和脆弱性的价值，本研究有助于自然灾害的应用地理学，并为不同定居环境下的风险敏感规划提供见解。

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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 : 2026-02-01 Epub 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

Unraveling the nexus between spatial quality and buzz behavior: Analyzing geo-tagged social media and multisource spatial data using text mining and XGBoost 揭示空间质量和话题行为之间的联系：使用文本挖掘和XGBoost分析地理标记的社交媒体和多源空间数据

IF 5.4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2026-01-01 Epub Date: 2025-12-09 DOI: 10.1016/j.apgeog.2025.103858

Jinliu Chen , Pengcheng Li , Yanhui Lei , Hangyu Li , Dingjian Zhang , Bing Chen , Jian Liu , Marc Aurel Schnabel

In the digital media era, geo-tagged social media (SM) has emerged as a powerful tool for understanding tourist behavior and managing destination image. This study examines how spatial quality influences buzz behavior—rapid, user-driven dissemination of destination information—through the lens of the Feedback, Sympathy, Identification, Participation, and Sharing (FSIPS) framework. Focusing on Suzhou's historic city core, we integrate ridge regression, deep learning-based text mining, and eXtreme Gradient Boosting (XGBoost) to model the relationship between built environment features and SM engagement metrics, including emotional expression and likes. Findings reveal that (1) buzz behavior, driven by emotionally resonant user-generated content, plays a critical role in shaping destination popularity; (2) spatial features such as park and catering density significantly enhance emotional responses and content diffusion; and (3) entertainment density shows a negative association with engagement, suggesting diminishing returns in over-commercialized zones. (4) Furthermore, the analysis uncovers non-linear interaction effects—e.g., the co-presence of green infrastructure and public transport density synergistically boosts perceptual response. This research contributes a theoretically grounded and data-driven framework for decoding the spatial triggers of word-of-mouth dynamics in tourism, offering actionable insights for planners aiming to enhance tourist experiences and manage spatial quality in heritage-rich urban settings.

在数字媒体时代，地理标签社交媒体（SM）已成为了解游客行为和管理目的地形象的有力工具。本研究通过反馈、同情、认同、参与和分享（FSIPS）框架考察了空间质量如何影响口碑行为——目的地信息的快速、用户驱动的传播。以苏州的历史城市核心为研究对象，我们将脊回归、基于深度学习的文本挖掘和极限梯度提升（XGBoost）结合起来，对建筑环境特征与SM参与指标（包括情感表达和点赞）之间的关系进行建模。研究结果表明：(1)由情感共鸣的用户生成内容驱动的嗡嗡声行为在塑造目的地人气方面起着关键作用；(2)公园、餐饮密度等空间特征显著增强了情绪反应和内容扩散；(3)娱乐密度与用户粘性呈负相关，表明过度商业化区域的收益递减。(4)此外，分析还揭示了非线性相互作用效应，如：，绿色基础设施和公共交通密度的共存协同促进了感知反应。该研究为解读旅游口碑动态的空间触发因素提供了理论基础和数据驱动的框架，为旨在提高旅游体验和管理遗产丰富的城市环境中的空间质量的规划者提供了可操作的见解。

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引用次数: 0

Manufacturing agglomeration and high-quality economic development: Unveiling nonlinear dynamics and spatial spillovers in China 制造业集聚与经济高质量发展：揭示中国的非线性动态与空间溢出效应

IF 5.4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2026-01-01 Epub Date: 2025-11-01 DOI: 10.1016/j.apgeog.2025.103833

Mingtao Yan , Mingyue Yan , Jianji Zhao

The critical role of manufacturing agglomeration (MA) in promoting high-quality economic development (HED) is widely recognized in both academic and policy discourse. However, the nonlinear effects and spatial spillover mechanisms by which MA affects HED have not been sufficiently addressed in the existing literature. Using panel data from 287 prefecture-level and above cities in China from 2011 to 2023, this study adopts spatiotemporal analysis to trace the evolution of MA and HED, and employs fixed-effects models, mediation analysis, and spatial Durbin models to examine the multidimensional mechanisms linking the two. The results reveal steady improvements in both MA and HED, marked by an east–west gradient and a spatial transition from initial concentration to a more balanced and polycentric structure. A significant U-shaped relationship is identified, indicating that MA initially suppresses but later promotes HED as agglomeration intensity increases. Furthermore, MA indirectly facilitates HED by enhancing urban logistics development, which improves factor allocation and industrial connectivity. Spatial analysis confirms a U-shaped spillover effect on neighboring cities—initially driven by negative externalities such as resource competition and siphoning effects, and subsequently transformed into positive interactions through coordinated specialization and knowledge diffusion. Heterogeneity analysis shows that the impact of MA varies significantly across regions, city tiers, resource endowments, urban agglomeration status, and industry types. This study not only deepens the theoretical understanding of the nexus between MA and HED but also offers valuable insights for other countries seeking to optimize industrial spatial layouts and foster coordinated regional development.

制造业集聚在促进高质量经济发展中的重要作用已得到学术界和政策界的广泛认可。然而，在现有文献中，MA影响HED的非线性效应和空间溢出机制尚未得到充分的研究。本文利用2011 - 2023年中国287个地级市及以上城市的面板数据，采用时空分析方法追溯城市人口流动和城市人口流动的演变过程，并运用固定效应模型、中介分析和空间Durbin模型考察两者之间的多维关联机制。研究结果显示，MA和HED均有稳定的改善，表现为东西梯度和从初始集中到更平衡和多中心结构的空间过渡。发现了显著的u型关系，表明随着团聚强度的增加，MA先抑制HED，后促进HED。此外，MA通过促进城市物流发展，间接促进了HED，从而改善了要素配置和产业连通性。空间分析证实了对相邻城市的u型溢出效应——最初由资源竞争和虹吸效应等负外部性驱动，随后通过协调的专业化和知识扩散转化为正相互作用。异质性分析表明，MA的影响在区域、城市层级、资源禀赋、城市群状况和产业类型之间存在显著差异。本研究不仅加深了对MA与HED关系的理论认识，也为其他国家优化产业空间布局、促进区域协调发展提供了有价值的启示。

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引用次数: 0

What are the differences between ecosystem services and residents’ perceptions? Insights from perception gap, heterogeneity, and cross-level driving mechanisms 生态系统服务与居民感知之间的差异是什么？从认知差距、异质性和跨层次驱动机制的见解

IF 5.4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2026-01-01 Epub Date: 2025-10-16 DOI: 10.1016/j.apgeog.2025.103808

Huijuan Zhang , Li Peng , Yue Qiu , Zhonghao Ma

Ecosystem services (ES) are vital for human well-being and ecological security. However, current research often separates objective measurement from subjective perception evaluation, rarely considering both aspects simultaneously or analyzing their matching relationship in depth. This study moves beyond the traditional paradigm of objective or subjective dominance and proposes a spatially explicit cognition–ecology feedback conceptual framework. We developed an integrated approach that couples InVEST model outputs with questionnaire survey data to link objective ES supply with subjective perceptions, defining their difference as perception gaps. Taking the typical karst area of Huanjiang County, China, as a case study, we quantified the potential supply and farmers’ perception gaps of five key ES, namely, food provision (FP), water yield (WY), soil retention (SR), carbon sequestration (CS), and habitat quality (HQ). We then used a Hierarchical Linear Model to determine the cross-level driving mechanisms. The findings showed significant service heterogeneity and individual differences among the five ES. Perception gaps for FP and WY were generally positive, reflecting high demand and low supply. Meanwhile, those for CS and HQ services were predominantly negative, indicating low demand and high supply. The formation mechanism of perception gap was jointly driven by environmental values and household types at the individual level, and natural conditions and location factors at the village level. The study emphasizes that differentiated governance strategies are essential to bridge multiple types of perception gaps, thereby fostering a virtuous cycle of cognition and ecological sustainability through enhanced awareness, optimized service provision, and improved policy communication.

生态系统服务对人类福祉和生态安全至关重要。然而，目前的研究往往将客观测量与主观感知评价分开，很少同时考虑这两个方面，也很少深入分析两者的匹配关系。本研究超越了客观或主观主导的传统范式，提出了一个空间外显的认知生态反馈概念框架。我们开发了一种综合方法，将InVEST模型输出与问卷调查数据结合起来，将客观ES供应与主观感知联系起来，将其差异定义为感知差距。以环江县典型喀斯特地区为例，量化了粮食供给（FP）、水量（WY）、土壤保持（SR）、碳固存（CS）和生境质量（HQ） 5个关键生态系统的潜在供给和农户感知缺口。然后，我们使用层次线性模型来确定跨层驱动机制。研究结果显示，5个社会服务体系之间存在显著的服务异质性和个体差异。计划生育和WY的认知差距总体上是积极的，反映了高需求和低供应。此外，CS及总部服务的评分则以负为主，显示需求低而供应高。感知差距的形成机制在个体层面受环境价值观和家庭类型的共同驱动，在村庄层面受自然条件和区位因素的共同驱动。该研究强调，差异化的治理策略对于弥合多种类型的认知差距至关重要，从而通过提高意识、优化服务提供和改善政策沟通，促进认知和生态可持续性的良性循环。

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引用次数: 0

Land tenure and land use dynamics in the context of pastoral and non-pastoral land use coexistence in Mvomero district, Tanzania 坦桑尼亚mvmero地区牧区和非牧区共存背景下的土地所有制和土地利用动态

IF 5.4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2026-01-01 Epub Date: 2025-10-25 DOI: 10.1016/j.apgeog.2025.103827

Werenfrid Michael Tarimo , Malumbo Chipofya , Jaap Zevenbergen

Pastoral and non-pastoral land use coexistence across time and space has implications for the capacity of communities to sustain themselves. This study employed a mixed-methods approach to characterise the trends of land tenure and land use land cover (LULC) in relation to land use coexistence between pastoralists and non-pastoralists. The study was conducted in the Mvomero district of Tanzania, among the districts with high land use conflicts between pastoralists and non-pastoralists. Results indicate that land tenure transformation occurred mainly from village land tenure to state land tenure, followed by state tenure to private tenure. Village tenure was irreversibly converted to state and private tenures. LULC trend showed agriculture and bushland increased at the expense of forest, which decreased consistently from 1994 to 2024. Many respondents indicated that land use coexistence is happening informally, and arrangements are organised mainly by individuals and village leaders. In conclusion, the district's land tenure and land use transformations prioritize biodiversity conservation and agriculture expansion, and overlook pastoral land use. Also, the transformations promote the separation of land uses and undermine land use coexistence. These perpetuate land use conflicts and impede the progress toward zero hunger, a sustainable development goal. A framework that harmonizes the arrangements to accommodate land use coexistence is necessary.

跨时间和空间的牧区和非牧区土地利用共存对社区维持自身的能力产生影响。本研究采用混合方法描述了与牧民和非牧民土地利用共存相关的土地权属和土地利用土地覆盖（LULC）趋势。这项研究是在坦桑尼亚的mvmero地区进行的，该地区是牧民和非牧民之间土地使用冲突严重的地区之一。结果表明：土地所有制的转变主要发生在村级土地所有制向国有土地所有制的转变，其次是国有土地所有制向私人土地所有制的转变；村庄的所有权不可逆转地转变为国家和私人的所有权。1994 ~ 2024年，农业和灌木林面积呈减少趋势，森林面积持续减少。许多受访者表示，土地利用共存是非正式的，主要是由个人和村领导组织的。综上所述，该地区的土地权属和土地利用转型优先考虑生物多样性保护和农业扩张，而忽视了畜牧业用地。转型促进了土地利用的分离，破坏了土地利用的共存。这些问题使土地使用冲突永久化，阻碍了实现零饥饿这一可持续发展目标的进程。必须有一个框架，协调各种安排，以适应土地使用共存。

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引用次数: 0

Does the digitalization of hometowns promote return migrants’ entrepreneurship? Empirical evidence from panel data for China 家乡数字化是否促进了返乡务工人员创业？来自中国面板数据的经验证据

IF 5.4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2026-01-01 Epub Date: 2025-11-29 DOI: 10.1016/j.apgeog.2025.103855

Jiangbin Yin , Guixiang Yi , Ruiguang Ma , Le Chen , Shuhan Yang

Increased return migration and digitalization have opened up new opportunities for growth in rural areas and narrowed the urban-rural divide. However, there is still a lack of empirical evidence regarding the effect of regional digitalization on the entrepreneurship among return migrants. Based on the 2010–2018 China Family Panel Studies (CFPS) data and regional digitalization data, we explore the impact of digitalization in hometowns on return migrants' entrepreneurial decisions and its internal mechanism by using a panel modelling approach. we find that the level of digitalization in the hometown is significantly associated with an increased likelihood of returnee entrepreneurship, and the findings are robust, which reflect a potential promoting effect based on our causal identification design. Specifically, regional digitalization is linked to a higher entrepreneurial probability mainly through potential channels of promoting internet use and alleviating financing constraints, while the impact of improving government administration is not tested. The study also finds that the impact of digitalization on returnee entrepreneurship varies across individuals and regions. Our findings have important implications for research and practice on rural entrepreneurship in the digital era.

回流人口和数字化的增加为农村地区的发展提供了新的机遇，缩小了城乡差距。然而，关于区域数字化对返乡农民工创业的影响，目前还缺乏实证证据。基于2010-2018年中国家庭面板研究（China Family Panel Studies， CFPS）数据和区域数字化数据，采用面板建模方法，探讨了数字化对返乡农民工创业决策的影响及其内在机制。研究发现，归国数字化水平与海归创业的可能性显著相关，且结果稳健，反映了基于因果识别设计的潜在促进效应。具体而言，区域数字化主要通过促进互联网使用和缓解融资约束的潜在渠道与更高的创业概率相关联，而改善政府管理的影响尚未得到检验。研究还发现，数字化对海归创业的影响因个人和地区而异。研究结果对数字时代农村创业的研究与实践具有重要启示意义。

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引用次数: 0

Does e-shopping weaken the link between land use and neighborhood shopping behavior? Evidence from large-scale mobile phone data 电子购物是否削弱了土地利用与邻里购物行为之间的联系？来自大规模移动电话数据的证据

IF 5.4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2026-01-01 Epub Date: 2025-10-23 DOI: 10.1016/j.apgeog.2025.103809

Fangyi Ding , Zhan Zhao , Yun Han , Yang Zhou , Yang Xu

Proximity-based land use planning has traditionally been viewed as a key strategy to manage travel demand and promote sustainable mobility. Yet, the rise of online activities, particularly the spread of e-shopping, may alter this rationale by reducing the need for physical proximity to consumption opportunities and potentially reshaping residents’ interactions with neighborhood facilities. In this study, we draw on a one-month mobile signaling dataset from Shanghai, China, to provide large-scale behavioral evidence on this issue. Leveraging a Spatial Error Model (SEM), we examine whether e-shopping attenuates the influence of neighborhood land use features on shopping travel behaviors. Our findings show that residents in neighborhoods with higher levels of e-shopping engagement tend to make fewer offline shopping trips and travel shorter distances. More importantly, e-shopping moderates — and in many cases attenuates — the effects of key proximity-based features, including proximity to commercial centers, geographical location, road density, and transit accessibility. We also find significant heterogeneity across neighborhood types: communities with a higher share of elderly residents show greater sensitivity to these moderating effects, particularly in terms of shopping trip frequency. Overall, the results suggest that e-shopping may reshape the foundations of proximity-based planning. Our study further demonstrates the value of mobile signaling data in capturing these emerging dynamics, offering new insights for modeling travel demand and informing land use policies in the digital era.

传统上，基于邻近性的土地利用规划被视为管理出行需求和促进可持续交通的关键策略。然而，网络活动的兴起，特别是电子购物的普及，可能会改变这种基本原理，因为它减少了人们对消费机会的实际接近需求，并可能重塑居民与社区设施的互动。在本研究中，我们利用来自中国上海的一个月的移动信令数据集，为这一问题提供大规模的行为证据。利用空间误差模型（SEM），我们研究了电子购物是否减弱了社区土地利用特征对购物旅行行为的影响。我们的研究结果表明，在电子购物参与度较高的社区，居民往往较少进行线下购物，出行距离也较短。更重要的是，电子购物缓和了——在许多情况下减弱了——基于邻近性的关键特征的影响，包括靠近商业中心、地理位置、道路密度和交通可达性。我们还发现了不同社区类型的显著异质性：老年居民比例较高的社区对这些调节效应表现出更大的敏感性，特别是在购物旅行频率方面。总体而言，研究结果表明，电子购物可能会重塑基于邻近性规划的基础。我们的研究进一步证明了移动信号数据在捕捉这些新兴动态方面的价值，为数字化时代的出行需求建模和土地使用政策提供了新的见解。

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引用次数: 0

Influence of urban park landscape attributes on office workers’ self-rated health: A moderated mediation model 城市公园景观属性对上班族自评健康的影响：一个有调节的中介模型

IF 5.4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2026-01-01 Epub Date: 2025-11-10 DOI: 10.1016/j.apgeog.2025.103836

Xuanxian Chen , Massoomeh Hedayati Marzbali , Aldrin Abdullah

Despite growing recognition of the health benefits provided by urban parks, limited research has explored the role of perceived safety regarding COVID-19 (PS19) within the framework of cultural ecosystem services, particularly for young office workers with low place attachment (PA) who face pandemic-related health challenges. This paper aims to examine the relationships amongst landscape attributes, leisure visitation, PS19, and self-rated health, and the moderating effects of PA and the influence of urban parks across different parental statuses. Data were collected from 411 office workers who visited two urban parks in Baise City, China. Two structural equation models were employed to analyse the interactions amongst the variables. Findings reveal that PS19 enhances the relationship between landscape attributes and leisure visitation with self-rated health. Additionally, PA amplifies the health benefits derived from landscape attributes, including PS19. Notably, landscape attributes and PS19 display a weak negative correlation amongst participants with low PA. This study underscores the variability in urban park benefits across different settings and parental statuses, and contributes to a deeper understanding of the interplay among PA, ecosystem services, attention restoration, and ecological perception theories, whilst supporting Sustainable Development Goal 11.

尽管人们越来越认识到城市公园提供的健康益处，但有限的研究探索了在文化生态系统服务框架内对COVID-19 （PS19）的感知安全性的作用，特别是对于面临与大流行相关的健康挑战的低地方依恋（PA）年轻办公室员工。本文旨在探讨景观属性、休闲访问、PS19与自评健康之间的关系，以及PA和城市公园在不同亲代状态下的调节作用。数据收集自411名办公室职员，他们参观了中国百色市的两个城市公园。采用两个结构方程模型来分析变量之间的相互作用。结果表明，PS19增强了景观属性与休闲旅游与自评健康之间的关系。此外，PA放大了景观属性（包括PS19）带来的健康益处。值得注意的是，景观属性与PS19在低PA的被试中呈弱负相关。本研究强调了城市公园效益在不同环境和亲代状态下的可变性，有助于更深入地理解PA、生态系统服务、注意力恢复和生态感知理论之间的相互作用，同时支持可持续发展目标11。

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