Applied Geography最新文献_第3页

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 : 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

Secondary cities in African urbanization: On urban expansion and density patterns in Tanzania's mid-sized cities 非洲城市化中的二级城市：坦桑尼亚中等城市的城市扩张与密度模式

IF 5.4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2025-12-09 DOI: 10.1016/j.apgeog.2025.103859

Neema Simon Sumari , Patrick Brandful Cobbinah

African urbanization has gained momentum over recent decades, raising critical questions about urban planning and sustainability. Secondary cities are central to Africa's urban transition as they create opportunities for managing the pressures of urbanization on metropolitan regions. Yet secondary cities remain understudied compared to the metropolitan core. This paper examines urban expansion and density patterns in five Tanzanian secondary cities from 1990 to 2020, and the implications on sustainable urban development. We use multi-temporal Landsat data, the urban land density model, and landscape metrics to assess compactness and fragmentation. Results reveal outwards expansion with city-specific morphologies including infill near existing core, corridor growth and density shifts. In addition, the ANOVA and Tukey HSD test found no statistically significant differences across the five secondary cities or time periods, highlighting the limits of broad comparisons yet affirming the planning relevance of absolute changes. Our analysis expands the dialogue on African urbanization, and the findings advance understandings of SDG 11 (Sustainable Cities and Communities) and intersect with SDG 13 (Climate Action), and SDG 15 (Life on Land). The paper provides data-driven insights for policy makers and a replicable framework to guide sustainable secondary city planning in Sub-Saharan Africa.

近几十年来，非洲的城市化势头强劲，对城市规划和可持续性提出了关键问题。二级城市是非洲城市转型的核心，因为它们为管理城市化给大都市地区带来的压力创造了机会。然而，与大都市核心相比，二线城市仍未得到充分研究。本文研究了1990年至2020年坦桑尼亚五个二级城市的城市扩张和密度模式，以及对可持续城市发展的影响。我们使用多时相Landsat数据、城市土地密度模型和景观指标来评估紧凑性和破碎性。结果表明，城市向外扩张具有城市特有的形态，包括靠近现有核心的填充、走廊增长和密度转移。此外，方差分析和Tukey HSD检验发现五个二级城市或时间段之间没有统计学上的显著差异，突出了广泛比较的局限性，但肯定了绝对变化的规划相关性。我们的分析扩大了关于非洲城市化的对话，研究结果促进了对可持续发展目标11（可持续城市和社区）的理解，并与可持续发展目标13（气候行动）和可持续发展目标15（陆地上的生命）相互交叉。本文为政策制定者提供了数据驱动的见解，并为指导撒哈拉以南非洲的可持续二级城市规划提供了可复制的框架。

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引用次数: 0

Integrating future land use uncertainty and spatial scales into ecosystem service degradation risk assessment for urban ecological management 基于未来土地利用不确定性和空间尺度的城市生态系统服务退化风险评估

IF 5.4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2025-12-09 DOI: 10.1016/j.apgeog.2025.103860

Yan Li , Hao Wu , Thomas Blaschke , Biswajeet Pradhan , Abdul Rashid Bin Mohamed Shariff , Ram Avtar , Anqi Lin , Wenting Shao

Rapid land-use change has imposed substantial pressures on urban ecosystems, underscoring the need to assess ecosystem service degradation risks (ESDR) to promote urban ecological sustainability. However, existing studies have largely focused on comparing ESDR under multiple land-use scenarios or integrating multi-scenario ESDR based on economic theory, often overlooking the constraints introduced by land-use planning policies and the influence of spatial scale on assessment accuracy. To address these challenges, this study proposed a novel ESDR assessment framework that integrates ecosystem service value losses from multiple land-use scenarios with an optimal spatial scale, particularly aligning with future territorial spatial planning. Using Wuhan as a case, this study optimized land-use quantity and spatial pattern across future scenarios, calibrated the optimal assessment scale, and identified ESDR areas following the city's main functional zones. The results indicated notable ecological degradation in Wuhan from 2000 to 2020, while ecological degradation is expected to reverse under all three optimized land-use scenarios for 2035. At the optimal scale of 400 m, key ESDR prevention areas accounted for 10.71 % of the city, predominantly located in the peripheral regions of the central urban area and along the Sheshui River in the north, notably in the Hongshan, Caidian, Huangpi, and Jiangxia districts. Differentiated ecological management strategies should be formulated according to ESDR zones. This study effectively bridges planning policies with ESDR assessment and enables precise spatial targeting for ecological risk prevention, thereby supporting fine-grained urban ecological governance.

土地利用的快速变化给城市生态系统带来了巨大的压力，强调了评估生态系统服务退化风险（ESDR）以促进城市生态可持续性的必要性。然而，现有研究多侧重于基于经济理论的多种土地利用情景下ESDR的比较或多情景ESDR的整合，往往忽视了土地利用规划政策的约束和空间尺度对评估精度的影响。为了应对这些挑战，本研究提出了一个新的ESDR评估框架，该框架将多种土地利用情景的生态系统服务价值损失与最佳空间尺度相结合，特别是与未来的领土空间规划相一致。以武汉市为例，对未来情景下的土地利用数量和空间格局进行了优化，标定了最优评价尺度，确定了城市主体功能区的ESDR区域。结果表明：2000 - 2020年武汉市生态退化显著，2035年3种土地利用优化情景下，武汉市生态退化趋势有望逆转。在400 m最优尺度下，ESDR重点防治区域占全市面积的10.71%，主要分布在中心城区外围和北部沿佘水河地区，以红山区、蔡甸区、黄陂区和江夏区为主。应根据ESDR区域制定差异化的生态管理策略。本研究有效衔接了规划政策与ESDR评估，实现了生态风险防范的精准空间定位，从而支持城市生态细粒度治理。

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引用次数: 0

Digital-driven spatial organization of special forces tourism: A multi-dimensional coupling analysis 数字驱动的特种部队旅游空间组织：多维耦合分析

IF 5.4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2025-12-08 DOI: 10.1016/j.apgeog.2025.103857

Xingrui Chen , Suqiu Tang , Chi Liu

The “special forces-style tourism” driven by digital technology poses challenges to traditional urban tourism theories, and existing single-perspective approaches struggle to explain the multidimensional coupling characteristics of time compression, functional complementarity, and digital drive. This study constructs a “spatio-temporal-functional-digital three-dimensional coupling” analytical framework. Based on 29,774 posts from Weibo and Xiaohongshu platforms and 5280 POI data points in Shanghai from January 2024 to March 2025, we employ difference-in-differences, pointwise mutual information algorithms, network centrality analysis, and K-means clustering methods for empirical testing. The findings reveal: (1) Under the 45-min spatio-temporal convergence threshold, the network coverage rate reaches 94.7 %, with an intra-community to inter-community time ratio of 2.29:1 and travel mode differentiation (walking 72 % vs. public transport 66 %), unveiling a dual-layer spatial logic; (2) Cross-category connections account for 85.4 %, with intra-community PMI values (2.34) significantly higher than inter-community values (1.67), proposing the concept of “spatially-dependent functional complementarity”; (3) Digital interaction exhibits an inverted U-shaped nonlinear association, with the dissemination network presenting a four-tier differentiation; (4) Eight spatial organization types are identified, with digital-functional interaction effects (η² = 0.0118) stronger than temporal-functional interactions (η² = 0.0041). This study extends time geography to a “constraint-optimization” paradigm, identifies the spatio-temporal constraint boundaries applicable to network theory, develops three operational management tools, and provides an analytical framework for theorizing urban tourism in the digital age.

数字技术驱动下的“特种部队式旅游”对传统城市旅游理论提出了挑战，现有的单一视角难以解释时间压缩、功能互补和数字驱动的多维耦合特征。本研究构建了“时空-功能-数字三维耦合”的分析框架。基于2024年1月至2025年3月上海地区微博和小红书平台的29,774条微博和5280个POI数据点，我们采用差中差、点互信息算法、网络中心性分析和K-means聚类方法进行实证检验。结果表明：(1)在45 min时空收敛阈值下，网络覆盖率达到94.7%，社区内与社区间时间之比为2.29:1，出行方式分化（步行72% vs公共交通66%），呈现双层空间逻辑；(2)跨类别连接占85.4%，群落内PMI值（2.34）显著高于群落间PMI值（1.67），形成了“空间依赖的功能互补”概念；(3)数字互动呈现倒u型非线性关联，传播网络呈现四层分化；④发现8种空间组织类型，其中数字功能相互作用效应（η2 = 0.0118）强于时间功能相互作用（η2 = 0.0041）。本研究将时间地理学扩展为“约束-优化”范式，确定了适用于网络理论的时空约束边界，开发了三种运营管理工具，并为数字化时代的城市旅游理论化提供了分析框架。

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引用次数: 0

Spatial identification and optimization of tourism gaps in China's 5A scenic spots 中国5A级景区旅游缺口空间识别与优化

IF 5.4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2025-12-08 DOI: 10.1016/j.apgeog.2025.103863

Zhang Bin , Zhong Linsheng

This study addresses the uneven spatial distribution of China's 5A scenic spots, proposing a comprehensive approach for identifying and optimizing tourism gaps. By examining the relationship between the supply capacity of scenic spots and societal population demand, spatial patterns of tourism opportunities were evaluated under multiple threshold distance scenarios to identify tourism gaps, which are areas where the current supply of 5A scenic spots fails to meet population demand. To optimize the spatial layout of tourism resources, four machine learning algorithms, including eXtreme Gradient Boosting (XGBoost), random forest (RF), logistic regression (LR), and support vector machine (SVM), are employed to construct a scenic spot location optimization framework, enabling spatial compensation and efficient resource allocation in gap areas. The study indicates that 60.22 % of regions in China show tourism gaps, 15.25 % of which are classified as “triple tourism gap areas,” meaning they lack tourism opportunities across all scenic spot types and are predominantly situated in the interior of the Qinghai-Tibet Plateau. In comparison to natural scenic spots, man-made and historical scenic spots exhibit more significant spatial disparities in tourism gaps. A decline in spatial unevenness of tourism opportunities across different threshold distances is observed in the optimized gap areas. By integrating machine learning to optimize the spatial layout of 5A scenic spots, this study provides scientific evidence and technical support for promoting regional coordinated development and achieving tourism spatial justice.

本研究针对中国5A级景区空间分布不均的问题，提出了一种识别和优化旅游缺口的综合方法。通过考察景区供给能力与社会人口需求之间的关系，在多阈值距离情景下评价旅游机会的空间格局，识别旅游缺口，即目前5A级景区供给无法满足人口需求的区域。为优化旅游资源的空间布局，采用极限梯度提升（XGBoost）、随机森林（RF）、逻辑回归（LR）和支持向量机（SVM） 4种机器学习算法构建景区区位优化框架，实现缺口区空间补偿和资源高效配置。研究表明，中国60.22%的地区存在旅游缺口。与自然风景名胜区相比，人文风景名胜区和历史风景名胜区旅游缺口的空间差异更为显著。在优化后的缺口区，不同阈值距离的旅游机会空间不均衡性有所下降。通过整合机器学习优化5A级景区空间布局，为促进区域协调发展、实现旅游空间公平提供科学依据和技术支撑。

{"title":"Spatial identification and optimization of tourism gaps in China's 5A scenic spots","authors":"Zhang Bin , Zhong Linsheng","doi":"10.1016/j.apgeog.2025.103863","DOIUrl":"10.1016/j.apgeog.2025.103863","url":null,"abstract":"<div><div>This study addresses the uneven spatial distribution of China's 5A scenic spots, proposing a comprehensive approach for identifying and optimizing tourism gaps. By examining the relationship between the supply capacity of scenic spots and societal population demand, spatial patterns of tourism opportunities were evaluated under multiple threshold distance scenarios to identify tourism gaps, which are areas where the current supply of 5A scenic spots fails to meet population demand. To optimize the spatial layout of tourism resources, four machine learning algorithms, including eXtreme Gradient Boosting (XGBoost), random forest (RF), logistic regression (LR), and support vector machine (SVM), are employed to construct a scenic spot location optimization framework, enabling spatial compensation and efficient resource allocation in gap areas. The study indicates that 60.22 % of regions in China show tourism gaps, 15.25 % of which are classified as “triple tourism gap areas,” meaning they lack tourism opportunities across all scenic spot types and are predominantly situated in the interior of the Qinghai-Tibet Plateau. In comparison to natural scenic spots, man-made and historical scenic spots exhibit more significant spatial disparities in tourism gaps. A decline in spatial unevenness of tourism opportunities across different threshold distances is observed in the optimized gap areas. By integrating machine learning to optimize the spatial layout of 5A scenic spots, this study provides scientific evidence and technical support for promoting regional coordinated development and achieving tourism spatial justice.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"186 ","pages":"Article 103863"},"PeriodicalIF":5.4,"publicationDate":"2025-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145736595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Examining the relationship between urban expansion and farmland protection under population decline: a multi-scale analytical framework 人口下降下城市扩张与耕地保护的关系研究：一个多尺度的分析框架

IF 5.4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2025-12-06 DOI: 10.1016/j.apgeog.2025.103862

Shuang Gan , Wanglin Yan

Rapid urban expansion has extensively transformed farmland into built-up areas, diminishing ecosystem services. In the twenty-first century, population decline in countries such as Japan has altered the dynamics of urban expansion and farmland preservation. Though development pressure has lessened, challenges such as under-cultivation and inefficient land management have emerged. The spatial heterogeneity of these changes complicates understanding their spatiotemporal patterns and mechanisms. This study proposes a multi-scale framework to investigate changing relationships between urban expansion and farmland protection during the transition from population growth to decline. It is applied to the Odawara region of Japan. Key findings include: (1) Since population decline began in 2010, conflicts between urban expansion and farmland protection have remained concentrated along the urban-agricultural fringe, causing continued farmland loss and fragmentation despite reduced pressure; (2) Population change indirectly causes paddy field loss via built-up land expansion, with a five-year lag; (3) The main driver of farmland loss has shifted from urban development to agriculture-related loss driven by labor shortages and low farming efficiency; and (4) Agricultural promotion areas moderately retain paddy fields but offer limited protection against fragmentation. These results confirm the framework's utility and highlight the need for adaptive land use policies in response to population decline.

快速的城市扩张将大量农田变成了建成区，减少了生态系统的服务功能。在21世纪，日本等国的人口减少改变了城市扩张和农田保护的动态。尽管发展压力有所减轻，但出现了诸如耕地不足和土地管理效率低下等挑战。这些变化的空间异质性使理解其时空格局和机制变得复杂。本研究提出了一个多尺度框架来考察人口增减过程中城市扩张与耕地保护之间的变化关系。它适用于日本的小田原地区。主要发现包括：①2010年人口开始下降以来，城市扩张与耕地保护的冲突集中在城乡结合部，尽管压力有所减轻，但耕地流失和破碎化仍在继续；(2)人口变化通过建设用地扩张间接导致水田流失，且存在5年滞后性；(3)耕地流失的主要驱动因素已从城市发展转向劳动力短缺和农业效率低下驱动的涉农流失；(4)农业促进区适度保留水田，但对破碎化保护有限。这些结果证实了该框架的效用，并强调了制定适应性土地使用政策以应对人口下降的必要性。

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引用次数: 0

Spatial displacement of grain production drove carbon emissions within the meat supply chain in China 粮食生产的空间位移驱动了中国肉类供应链的碳排放

IF 5.4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2025-12-05 DOI: 10.1016/j.apgeog.2025.103853

Xinli Ke , Dengying Huang , Chengchao Zuo , Ting Zhou , Yue Dou , Shuaib Lwasa

Spatial displacement of grain production worldwide has contributed to an increased distance between food production and consumption, leading to growing carbon emissions in grain transportation. However, the spatial displacement of grain production also affects transport-related carbon emissions in the meat supply chain, which have been underestimated as diets change and the population grows. In this study, a model-based framework was developed to estimate the role of grain production displacement in transport-related carbon emissions within the meat supply chain in China at the prefecture level, alongside other key changes in the food systems, including transport development and dietary changes. Results indicate that emissions more than doubled, from 6.34 million tons (Mt) of carbon dioxide equivalent emissions (CO₂e) in 1990 to 14.99 Mt CO₂e in 2020. Grain production displacement contributed nearly 20 % of the increase in carbon emissions associated with transport in the meat supply chain over the study period. Changes in diets and population growth increased emissions of 6.11 Mt CO₂e and 2.44 Mt CO₂e, respectively. Transport infrastructure development helped offset 4.96 Mt CO₂e from transportation. Our study underscores the importance of taking better account of the negative environmental impacts of grain production displacement in land use and sustainable food system transitions, both in China and other regions.

世界范围内粮食生产的空间位移导致粮食生产和消费之间的距离增加，导致粮食运输中的碳排放增加。然而，粮食生产的空间位移也会影响肉类供应链中与运输相关的碳排放，随着饮食的变化和人口的增长，这一点被低估了。在本研究中，开发了一个基于模型的框架，以估算中国地级肉类供应链中粮食生产位移对运输相关碳排放的影响，以及粮食系统的其他关键变化，包括运输发展和饮食变化。结果表明，排放量增加了一倍多，从1990年的634万吨二氧化碳当量排放量（CO2e）增加到2020年的1499万吨二氧化碳当量。在研究期间，与肉类供应链运输相关的碳排放增量中，粮食生产的迁移贡献了近20%。饮食变化和人口增长分别增加了611万和244万二氧化碳当量的排放量。交通基础设施的发展有助于抵消交通运输产生的496万吨二氧化碳当量。我们的研究强调了在中国和其他地区更好地考虑粮食生产转移对土地利用和可持续粮食系统转型的负面环境影响的重要性。

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引用次数: 0

Deadly connections: Exploring body disposal patterns in homicides through victim-offender relationships 致命的联系：通过受害者与罪犯的关系来探索杀人案件中的尸体处理模式

IF 5.4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2025-12-04 DOI: 10.1016/j.apgeog.2025.103856

April Miin Miin Chai , D. Kim Rossmo , Yongmei Lu

Delayed recovery of homicide victims’ bodies poses a risk of losing crucial evidence. Body disposal sites are critical for investigations, yet existing research has mainly focused on them as a sub-category. Through an environmental criminology approach, the purpose of this research is to conduct an exploratory spatial data analysis to examine the spatial patterns of known body disposal sites as they relate to victim-offender relationships. A sample of 743 homicide cases sourced from the Homicide Investigation Tracking System (HITS) database was used in this study. Spatial patterns of known body disposal sites in Washington state were examined utilizing ArcGIS mapping and spatial statistics. Results showed significant clustering of body disposal sites within five counties in Washington State. Victims with an intimate relationship to the offender were disposed of closest to where they were last seen, often with signs of attempts to destroy evidence. In stranger-related cases, bodies were typically found farthest from major cities in remote wooded areas but were discovered sooner. Sex worker victims were disposed of farthest from their last known location and took the longest to be discovered. The implications of spatial factors and victim-offender relationships, and understanding how offenders select disposal sites—whether in residential, remote, or accessible locations—are discussed in relation to investigative efforts.

谋杀受害者尸体的延迟恢复有可能丢失关键证据。尸体处置地点是调查的关键，但现有的研究主要集中在他们作为一个子类。通过环境犯罪学方法，本研究的目的是进行探索性的空间数据分析，以研究已知尸体处置地点的空间模式，因为它们与受害者-罪犯关系有关。本研究使用了来自凶杀调查跟踪系统（HITS）数据库的743起凶杀案件样本。利用ArcGIS制图和空间统计对华盛顿州已知尸体处置地点的空间格局进行了研究。结果显示，在华盛顿州的五个县内，尸体处理地点明显聚集。与罪犯有亲密关系的受害者被处置在离他们最后一次出现的地方最近的地方，通常有企图销毁证据的迹象。在与陌生人有关的案件中，尸体通常是在远离大城市的偏远林区被发现的，但发现得更快。性工作者的受害者被丢弃的地点离他们最后一次出现的地点最远，也花了最长的时间才被发现。空间因素和受害者-犯罪者关系的影响，以及了解犯罪者如何选择处置地点-无论是在住宅，偏远还是可到达的地点-讨论了与调查工作有关的问题。

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引用次数: 0

Variety of external knowledge and industrial upgrading: Evidence from Chinese semiconductor industry 外部知识多样性与产业升级：来自中国半导体产业的证据

IF 5.4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2025-12-03 DOI: 10.1016/j.apgeog.2025.103850

Shengjun Zhu , Xudong Zhang , Wenwan Jin , Wenqing Li

External knowledge serves as a critical source of industrial upgrading, yet existing research rarely examines the heterogeneity within the external knowledge set. Using customs transaction-level data, industrial survey, and patent data of the Chinese semiconductor industry (2000–2013), this paper shows that regional access to unrelated external knowledge facilitates the downstream firms to produce end-consumer products. Such access enables these firms to broaden their knowledge base, meet diverse market demands, and achieve upgrading. In contrast, related external knowledge is more advantageous for upstream firms involved in technology-intensive production. These findings indicate that not all external knowledge uniformly contributes to local firm upgrading; rather, its impact is conditioned by firms’ local product structure and positions within the value chain. By highlighting the complex composition of external knowledge, this study offers new insights into the upgrading of high-tech industry and the intersection of EEG, GVC, and innovation studies.

外部知识是产业升级的重要来源，但现有研究很少考察外部知识集内部的异质性。本文利用2000-2013年中国半导体产业的海关交易数据、产业调查数据和专利数据，表明区域获取不相关的外部知识有利于下游企业生产终端消费产品。这种准入使这些企业能够扩大知识基础，满足多样化的市场需求，实现升级。相反，相关外部知识对从事技术密集型生产的上游企业更有利。研究结果表明，并非所有的外部知识都有助于本地企业的升级；相反，其影响取决于企业在当地的产品结构和价值链中的位置。通过突出外部知识的复杂构成，本研究对高技术产业升级以及脑电图、全球价值链和创新研究的交叉研究提供了新的见解。

引用次数: 0

Deciphering the causes of getting lost in complex urban space: A multi-scale examination of spatial environmental indicators using multi-source data 解读复杂城市空间中迷路的原因：基于多源数据的空间环境指标的多尺度检验

IF 5.4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2025-12-02 DOI: 10.1016/j.apgeog.2025.103854

Lin Yang , Mingxia Luo , Zejun Zuo , Mei-Po Kwan , Daping Xi , Bo Wan , Shunping Zhou

Getting lost in complex urban environments is common, yet the environmental determinants of the risk of getting lost (RGL) remain poorly quantified. This study develops a multi-scale, data-driven framework that links local visual–perceptual attributes (e.g., sky visibility, scene openness, pedestrian density) with global spatial–structural metrics (e.g., road curvature, road type, land-use pattern) derived from multi-source geospatial data and image semantic segmentation. Using 3303 easy-to-get-lost (E2G) locations and 3303 matched easy-to-navigate (E2N) locations across six urban context types, we employ random forest regression to identify key environmental correlates of RGL. Results reveal strong context dependence alongside consistent cross-cutting mechanisms. In tourist areas, RGL is primarily driven by road curvature and mitigated by higher sky visibility. In transportation hubs, road type, curvature, and building density elevate RGL, whereas clearer guidance signage and more concentrated land use have protective effects. In cultural and business districts, pedestrian density is the dominant driver, with additional amplification from complex road geometry and fine-grained functional mixing. In residential areas, higher sky visibility and scene openness systematically reduce RGL, while greater building density and road curvature increase it. Across contexts, open, legible vistas are generally associated with lower RGL, whereas crowding and path complexity increase disorientation. The proposed framework achieves a peak predictive accuracy of 0.759 in transportation hubs. Although non-causal, these relationships provide an actionable evidence base for embedding wayfinding legibility into transport and urban design, emphasizing visual openness, simplified layouts, demand management, and standardized guidance to support more navigable and sustainable cities.

在复杂的城市环境中迷路是很常见的，但迷路风险的环境决定因素（RGL）仍然缺乏量化。本研究开发了一个多尺度、数据驱动的框架，将局部视觉感知属性（如天空能见度、场景开放性、行人密度）与全球空间结构指标（如道路曲率、道路类型、土地利用模式）联系起来，这些指标来自多源地理空间数据和图像语义分割。利用6种城市背景类型中的3303个易迷路（E2G）地点和3303个匹配的易导航（E2N）地点，我们采用随机森林回归来识别RGL的关键环境相关因素。结果揭示了强烈的上下文依赖以及一致的横切机制。在旅游区，RGL主要由道路曲率驱动，并因较高的天空能见度而减弱。在交通枢纽，道路类型、曲率和建筑密度提高了RGL，而更清晰的引导标志和更集中的土地利用则具有保护作用。在文化区和商务区，行人密度是主要驱动力，复杂的道路几何形状和细粒度的功能混合也会带来额外的放大。在居住区，更高的天空能见度和场景开放性系统地降低了RGL，而更大的建筑密度和道路曲率则增加了RGL。在不同的环境中，开阔、清晰的视野通常与较低的RGL相关，而拥挤和路径复杂性会增加定向障碍。该框架在交通枢纽的峰值预测精度为0.759。虽然没有因果关系，但这些关系为在交通和城市设计中嵌入寻路易读性提供了可操作的证据基础，强调视觉开放性、简化布局、需求管理和标准化指导，以支持更通航和可持续的城市。

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引用次数: 0