Applied Geography最新文献_第10页

Measuring spatial accessibility to improved water sources among the households in Sibi, Ghana 衡量加纳西比家庭获得改良水源的空间可达性

IF 5.4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2025-10-28 DOI: 10.1016/j.apgeog.2025.103821

Kingsley Kanjin , Minxuan Lan , Kevin Czajkowski , Patrick L. Lawrence

Despite significant global progress toward achieving Sustainable Development Goal Six, which aims to ensure universal and equitable access to improved water sources (those that are protected from outside contamination, and from fecal matter in particular) by 2030, access to improved water sources remains a persistent challenge, especially in rural African communities. In Sibi, Ghana, a rural area characterized by diverse physical and infrastructural constraints, access to improved water sources is particularly limited during the dry season. This study evaluates the level of spatial access to improved water sources in Sibi and explores relevant policy implications. Spatial analysis techniques, including Kernel Density Estimation and the Generalized Two-Step Floating Catchment Area (G2SFCA) methods, are used to assess the distribution and accessibility of improved water sources across the community. Although originally developed for evaluating healthcare accessibility, the G2SFCA method proves well-suited for analyzing access to improved water sources in this context. The results reveal an uneven spatial distribution of water sources, with a higher concentration in communities’ central areas and limited availability in peripheral zones. This ratio-based disparity results in significant variation in spatial accessibility among households. The study concludes that access to improved water sources in Sibi is spatially unequal, with central households enjoying better access than those on the periphery, particularly during the dry season. These findings confirm the applicability of the G2SFCA method for spatial accessibility to improved water source assessments and highlight the need for targeted interventions. The study recommends that local authorities in the Nkwanta North District prioritize expanding improved water infrastructure in Sibi.

尽管全球在实现可持续发展目标六方面取得了重大进展，该目标旨在确保到2030年普遍和公平地获得经改善的水源（特别是不受外界污染和粪便污染的水源），但获得经改善的水源仍然是一项持续的挑战，特别是在非洲农村社区。加纳的西比是一个农村地区，其特点是受到各种物质和基础设施的限制，在旱季获得改良水源的机会特别有限。本研究评估了泗泗改善水源的空间可及性水平，并探讨了相关政策建议。空间分析技术，包括核密度估计和广义两步浮动集水区（G2SFCA）方法，用于评估整个社区改善水源的分布和可及性。虽然最初是为评估医疗保健可及性而开发的，但事实证明，G2SFCA方法非常适合分析在这种情况下获得改良水源的情况。研究结果表明，水源地空间分布不均匀，中心区集中度较高，外围区可用性有限。这种基于比例的差异导致了家庭间空间可达性的显著差异。该研究的结论是，西比市获得改善水源的机会在空间上是不平等的，中心家庭比边缘家庭享有更好的机会，特别是在旱季。这些发现证实了G2SFCA空间可达性方法在改善水源评价中的适用性，并强调了有针对性干预的必要性。该研究建议恩昆塔北区的地方当局优先考虑在西比扩大改善的供水基础设施。

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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 : 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

Global disparities in renewable energy development: Where they exist and why 可再生能源发展中的全球差异：存在于何处及原因

IF 5.4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2025-10-24 DOI: 10.1016/j.apgeog.2025.103825

Barry D. Solomon , Martin J. Pasqualetti , Elizabeth Nelson

Concerns about global climate change are driving renewable energy development across many countries, although with uneven progress. This paper aims to identify these geographic disparities, explain why they exist, explore future trajectories and suggest how to reduce them. Countries poised for rapid solar and wind energy development are primarily in Europe along with China and Uruguay. Rapid development is also occurring in the Middle East, though starting from a lower baseline. In contrast, the lowest rates are found in Russia, Central Asia, North and Southern Africa. We review recent changes in these patterns by examining national wind and solar energy usage growth rates in the last decade, percentage point growth in renewable energy share over two decades, and considering an energy transition index. We provide case studies of five laggard countries and emerging leaders, Russia, South Africa, Algeria, Tunisia and Morocco, as examples of divergent approaches to renewable energy. Causes for slower paces of renewable energy development include geopolitics and contextual factors such as social and cultural attitudes towards renewable energy, and the degree to which these factors hinder the adoption and deployment of renewable technologies. Drawing on these case studies, we propose context-specific solutions to address these challenges. The paper concludes with policy options for closing the gap between the renewable energy haves and have-nots.

对全球气候变化的担忧正在推动许多国家的可再生能源发展，尽管进展参差不齐。本文旨在识别这些地理差异，解释它们存在的原因，探索未来的轨迹，并提出如何减少它们的建议。准备快速发展太阳能和风能的国家主要在欧洲、中国和乌拉圭。中东地区也在迅速发展，尽管起点较低。相比之下，发病率最低的是俄罗斯、中亚、北非和南部非洲。我们通过研究过去十年国家风能和太阳能使用增长率，20年来可再生能源份额的百分点增长，并考虑能源转型指数，来回顾这些模式的最近变化。我们提供了五个落后国家和新兴国家（俄罗斯、南非、阿尔及利亚、突尼斯和摩洛哥）的案例研究，作为不同的可再生能源方法的例子。可再生能源发展速度放缓的原因包括地缘政治和环境因素，如对可再生能源的社会和文化态度，以及这些因素在多大程度上阻碍了可再生能源技术的采用和部署。根据这些案例研究，我们提出了针对具体情况的解决方案来应对这些挑战。论文最后提出了缩小可再生能源发达国家和贫困国家之间差距的政策选择。

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引用次数: 0

Concentration and co-localization dynamics of technological innovation: The Japanese case 技术创新的集中与共定位动态：日本案例

IF 5.4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2025-10-24 DOI: 10.1016/j.apgeog.2025.103819

Sebastián Baeza-González , Natsuki Kamakura

Spatial patterns of innovation and inventive activities are a significant topic in economic geography, as many studies try to unveil the relationship between innovation and proximity. Understanding patterns of concentration and dispersion in space and the spatial relationship across technological categories becomes essential to reveal the characteristics of knowledge sources and flow. This study aims to characterize the spatial patterns of inventive activity in Japan. Using patent data, we identify concentration patterns using point data and a relative concentration (K^emp) measure. We also assess spatial co-localization and co-dispersion by using the same indicator. These results cross-classify technologies by their concentration and co-localization characteristics and potential knowledge sources and flows, questioning the relevance of national innovation policy in concentration and co-localization patterns. Therefore, the analysis focused on two periods, 1975–1994 and 1995–2014, related to major changes in the national innovation policy. Our analysis reveals that between the two periods, Japan's inventive geography shifted from a highly integrated system to more specialized, isolated clusters. Specifically, the later period demonstrates an increase in spatial concentration within technologies while showing a decline in co-localization across different fields. The importance of this trend is evident, as regionalization policies appear to have successfully promoted local specialization, strengthening regional/local capabilities, but have also resulted in a reduction of regional technological diversity. This situation raises concerns about an increased risk of technological lock-in and the potential decline in breakthrough innovations that depend on broader knowledge flows.

创新和发明活动的空间格局是经济地理学中的一个重要课题，许多研究试图揭示创新与邻近性之间的关系。了解空间中的集中和分散模式以及技术类别之间的空间关系对于揭示知识来源和流动的特征至关重要。本研究旨在描述日本发明创造活动的空间格局。使用专利数据，我们使用点数据和相对浓度（Kemp）测量来识别浓度模式。我们还通过使用相同的指标来评估空间共定位和共分散。这些结果根据技术的集中和共本地化特征以及潜在的知识来源和流动对技术进行交叉分类，质疑国家创新政策在集中和共本地化模式中的相关性。因此，本文将分析重点放在1975-1994年和1995-2014年两个与国家创新政策重大变化相关的时期。我们的分析表明，在这两个时期之间，日本的发明地理从一个高度整合的系统转变为更加专业化、孤立的集群。具体而言，后期表现出技术空间集中的增加，而不同领域的共定位则有所下降。这一趋势的重要性是显而易见的，因为区域化政策似乎成功地促进了地方专门化，加强了区域/地方能力，但也导致区域技术多样性的减少。这种情况引起了人们对技术锁定风险增加和依赖于更广泛知识流动的突破性创新可能下降的担忧。

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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 : 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

Examining the role of indicators and scale in social vulnerability index construction: A comparative geospatial analysis of inductive and hierarchical models 指标和尺度在社会脆弱性指数构建中的作用：归纳模型和层次模型的地理空间比较分析

IF 5.4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2025-10-22 DOI: 10.1016/j.apgeog.2025.103822

Selena Hinojos , Kathryn Roscoe , Caitlin Grady

Social vulnerability indices (SVIs) are tools for spatially identifying populations vulnerable to natural hazards. However, their construction involves methodological choices that can introduce epistemic uncertainty. While previous efforts have explored how construction processes influence outcomes, further validation is needed to ensure SVIs accurately capture vulnerability. This study advances validation efforts by examining how scale, both areal units (Census block groups and tracts) and geographic boundaries (state, coastal, and city), impact SVI construction and indicator behavior. We applied two indicator sets, the Centers for Disease Control (CDC) SVI and the Hazards Vulnerability and Resilience Institute SoVI, and compared across three index structures: inductive with z-score standardization, hierarchical with percentile ranking normalization, and hierarchical with z-score standardization. Using geospatial and hotspot mapping, we analyze how interactions across index model stages impact vulnerability rankings and spatial patterns. We also examine how indicators influence shifts across scales in vulnerable areas. Results show that scale and indicator selection shift spatial patterns and reshape indicators' roles in SVIs. Notably, the hierarchical structure with z-score standardization—unlike those used in the CDC SVI or SoVI—produced the most consistent rankings, hotspot identification, and indicator performance. These findings highlight the importance of scale-indicator interactions and model structure selection in SVI design.

社会脆弱性指数（SVIs）是在空间上识别易受自然灾害影响人群的工具。然而，它们的构建涉及到可能引入认知不确定性的方法论选择。虽然以前的工作已经探索了施工过程如何影响结果，但需要进一步验证以确保svi准确地捕获脆弱性。本研究通过考察规模(面积单位（人口普查街区和区域）和地理边界（州、沿海和城市）如何影响SVI建设和指标行为，推进了验证工作。我们采用了疾病控制中心（CDC） SVI和灾害脆弱性和恢复力研究所SoVI两个指标集，并在三种指标结构之间进行了比较：z-score标准化的归纳，百分位排名标准化的分层和z-score标准化的分层。利用地理空间和热点映射，我们分析了指数模型阶段之间的相互作用如何影响脆弱性排名和空间格局。我们还研究了指标如何影响脆弱地区的跨尺度变化。结果表明，尺度和指标选择改变了空间格局，重塑了指标在svi中的作用。值得注意的是，与CDC SVI或sovi中使用的z-score标准化的层次结构不同，它产生了最一致的排名、热点识别和指标性能。这些发现强调了量表-指标相互作用和模型结构选择在SVI设计中的重要性。

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引用次数: 0

Characterizing performance resilience of transportation networks against hurricane events 表征交通网络对飓风事件的性能弹性

IF 5.4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2025-10-22 DOI: 10.1016/j.apgeog.2025.103820

Kai-Fa Lu , Yanghe Liu , Zhong-Ren Peng , Wei Zhai

Extreme weather events are posing significant challenges to transportation infrastructure networks, both physically and functionally. While previous studies have examined the performance of infrastructure networks against disruptions, rare research integrates segment-level performance metrics, such as traffic volume and speed, to evaluate spatiotemporal operational responses to climate-disruptive events, like hurricanes. This study highlighted multiple traffic segments in transportation networks and investigated their geospatial changes in average traffic volume and median traffic speed before, during, and after hurricanes to quantify segment-level volume and speed resilience. Analyzing highway networks’ traffic and hurricane data from Miami-Dade County, Florida, we revealed four-quadrant performance resilience patterns, including (1) negative volume, positive speed (80 % of the highway networks); (2) both negative (17 %); (3) both positive (0.6 %); and (4) positive volume, negative speed (2.4 %). Volume resilience ranged within −0.04∼0.001 and speed resilience within −0.3∼0.3, indicating volume changes of <4 % of highway capacity and speed changes of <30 % of speed limits during hurricanes. A Bayesian Additive Regression Trees (BART) model identified highway type, lane direction, demographics, and land use as crucial factors influencing resilience. Highways near densely populated neighborhoods with fewer White residents and more diverse land uses exhibited lower volume but higher speed resilience, suggesting racial disparity. These findings offer valuable insights into network design and adaptation planning strategies to enhance transportation resilience and mitigate the impacts of climatic disruptions on network performance.

极端天气事件对交通基础设施网络构成了物理和功能上的重大挑战。虽然以前的研究已经检查了基础设施网络在中断情况下的性能，但很少有研究将路段级性能指标（如交通量和速度）集成在一起，以评估对气候破坏性事件（如飓风）的时空运行响应。本研究强调了交通网络中的多个交通区段，并调查了飓风之前、期间和之后的平均交通量和中位数交通速度的地理空间变化，以量化区段水平的交通量和速度弹性。通过分析佛罗里达州迈阿密-戴德县高速公路网络的交通和飓风数据，我们揭示了四象限的性能弹性模式，包括(1)负体积，正速度（80%的高速公路网络）；(2)均为负值（17%）；(3)均为阳性（0.6%）；(4)正容积，负转速（2.4%）。体积弹性范围在- 0.04 ~ 0.001之间，速度弹性范围在- 0.3 ~ 0.3之间，表明飓风期间公路容量的体积变化为4%，速度变化为限速的30%。贝叶斯加性回归树（BART）模型确定了公路类型、车道方向、人口统计和土地利用是影响弹性的关键因素。靠近人口密集、白人居民较少、土地使用更多样化的社区的高速公路，其体积较小，但速度弹性较高，表明种族差异。这些发现为网络设计和适应性规划策略提供了有价值的见解，以增强交通弹性并减轻气候中断对网络性能的影响。

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引用次数: 0

Investigating the different roles of urban environment in long- and short-distance outdoor jogging: Evidence from Shanghai, China 城市环境在长距离和短距离户外慢跑中的不同作用：来自中国上海的证据

IF 5.4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2025-10-20 DOI: 10.1016/j.apgeog.2025.103811

Ziran Ye , Xinyue Gu

Urban environments play a crucial role in shaping physical activity behaviors, with outdoor jogging being one of the most accessible and popular forms of exercise. However, most existing studies focus on modeling all jogging in aggregate rather than differentiating between short- and long-distance jogging, despite their distinct spatial and environmental demands. Hence, this study explores the impact of urban environmental factors on both short- and long-distance outdoor jogging in Shanghai, China. Using advanced spatial machine learning techniques, the effects of various urban features, such as density, accessibility and visual perception on jogging intensity are examined. Our findings reveal that road density and housing prices are the most consistent and influential factors. Short-distance jogging is more influenced by proximity to transport hubs, while long-distance jogging is more related to access to open space. Perceptual variables significantly promote jogging intensity when exceeding a certain threshold. Additionally, short-distance jogging is promoted in more mixed-use and central neighborhoods while long-distance jogging is converse. The study contributes to the understanding of urban health dynamics and offers insights into urban planning strategies that encourage outdoor physical activity and promote healthier lifestyles.

城市环境在塑造身体活动行为方面起着至关重要的作用，户外慢跑是最容易获得和最受欢迎的锻炼形式之一。然而，尽管长距离和短距离慢跑对空间和环境的要求不同，但现有的研究大多侧重于对所有慢跑的总体建模，而不是区分长距离和短距离慢跑。因此，本研究探讨了城市环境因素对上海户外短距离和长距离慢跑的影响。利用先进的空间机器学习技术，研究了各种城市特征，如密度、可达性和视觉感知对慢跑强度的影响。研究结果表明，道路密度和房价是最具一致性和影响力的因素。短距离慢跑更受靠近交通枢纽的影响，而长距离慢跑则更受开放空间的影响。知觉变量在超过一定阈值时显著提高慢跑强度。此外，短距离慢跑在更多的混合用途和中心社区推广，而长距离慢跑则相反。这项研究有助于了解城市健康动态，并为鼓励户外体育活动和促进更健康的生活方式的城市规划战略提供见解。

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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 : 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

Exploring sentiment dynamics and their driving factors in megacity residents’ environmental complaints through deep learning and multimodal data 利用深度学习和多模态数据分析超大城市居民环境投诉的情绪动态及其驱动因素

IF 5.4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2025-10-15 DOI: 10.1016/j.apgeog.2025.103806

Anxin Lian , Yonglin Zhang , Yuying Liu , Yaran Jiao , Yue Cai , Zerui Wang , Xiaomeng Sun , Rencai Dong

As urbanization continues to accelerate, ecological challenges in cities have intensified, resulting in a growing number of environmental complaints from residents. Effectively exploring the potential public emotions behind complaints is helpful for improving the urban environmental governance capacity. However, most existing studies emphasize the drivers of environmental complaints, while giving limited attention to the mechanisms underlying residents' negative sentiment (RNS). In addition, the influence of the built environment on RNS remains insufficiently examined. Taking Guangzhou as a case study, this research applies the BERT model to conduct sentiment analysis on environmental complaint text data. Furthermore, a Light Gradient Boosting Machine-SHapley Additive exPlanation (LGB-SHAP) model is employed to characterize the nonlinear associations between RNS and its potential drivers. Results indicate that RNS is predominantly concentrated in the central built-up areas of Guangzhou, with stronger expressions observed during nighttime. Spatial overlap is evident between high-density complaint zones and RNS hotspots, highlighting critical areas for enhanced environmental surveillance. The plot ratio emerges as the strongest determinant of RNS. Moreover, the plot ratio often interacts with other factors, exerting either amplifying or mitigating effects on RNS within different threshold ranges. The influence of driving factors also varies across different land use types, where plot ratio and openness exert dominant impacts. This study integrates multimodal data to detect the emotional dynamics of residents’ environmental complaints and elucidates the driving mechanisms of RNS in relation to the built environment and socioeconomic factors, thereby providing a reference for more targeted and responsive urban environmental governance strategies.

随着城市化进程的不断加快，城市生态环境面临的挑战日益加剧，居民对环境问题的投诉日益增多。有效挖掘投诉背后潜在的公众情绪，有助于提升城市环境治理能力。然而，现有的研究大多强调环境投诉的驱动因素，而对居民负面情绪的机制关注有限。此外，建筑环境对RNS的影响仍未得到充分研究。本研究以广州市为例，运用BERT模型对环境投诉文本数据进行情感分析。此外，采用光梯度增强机- shapley加性解释（LGB-SHAP）模型来表征RNS与其潜在驱动因素之间的非线性关联。结果表明，RNS主要集中在广州市中心建成区，夜间表现较强。高密度投诉区和RNS热点之间的空间重叠明显，突出了加强环境监测的关键区域。地积比是RNS的最强决定因素。此外，地积比往往与其他因素相互作用，在不同阈值范围内对RNS产生放大或缓解作用。不同土地利用类型对驱动因素的影响也存在差异，其中容积率和开放度发挥主导作用。本研究整合多模态数据，检测居民环境投诉的情绪动态，阐明RNS在建成环境和社会经济因素方面的驱动机制，从而为更具针对性和响应性的城市环境治理策略提供参考。

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引用次数: 0