Applied Geography最新文献_第7页

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

Corrigendum to “Strong increase in coverage but accelerated fragmentation in China's urban forests under rapid urbanization” [Applied Geography 185 (2025) 103793] “快速城市化背景下中国城市森林盖度增长强劲但破碎化加速”的勘误表[应用地理185 (2025)103793]

IF 5.4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2025-10-15 DOI: 10.1016/j.apgeog.2025.103810

Boyang Zhang , Zhibin Ren , Zhenghong Miao , Lei Wang , Chengcong Wang , Peng Zhang , Shengyang Hong , Xinyu Wang , Fanyue Meng , Baosen Huang

引用次数: 0

How the neighborhood amenity mix shapes urban vitality: An exploratory analysis from a rhythm perspective 社区设施组合如何塑造城市活力：节奏视角的探索性分析

IF 5.4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2025-10-10 DOI: 10.1016/j.apgeog.2025.103807

Qianyu Liu, Guangtian Zou, Yichen Luo

Neighborhood amenities, essential components of the built environment that support everyday life, play a pivotal role in enhancing urban vitality and advancing sustainable development. However, how the spatial co-location of neighborhood amenities—conceptualized as neighborhood amenity mix (NAM) —shapes urban vitality through synergistic effects across spatially heterogeneous urban development modes remains underexplored. This study constructs a framework consisting of 12 indicators across 3 dimensions—configuration, supply pattern, and spatial arrangement—to quantify the synergistic effects and co-location characteristics of NAM. By identifying rhythms of urban vitality from time-series data, the study classifies urban space into three development types. Furthermore, interpretable machine learning models are employed to uncover nonlinear relationships and threshold effects between indicators and vitality intensity. The results show that the proposed indicators explain an average of 61.86 % of the variance. Configuration and supply patterns exhibit consistent and critical effects, while spatial arrangements demonstrate pronounced heterogeneity. Threshold variations across development types underscore the context-dependent nature of neighborhood amenity planning. These thresholds offer data-informed support for developing locally adapted planning strategies.

邻里便利设施是支持日常生活的建筑环境的重要组成部分，在增强城市活力和促进可持续发展方面发挥着关键作用。然而，社区便利设施的空间共址——概念为社区便利设施组合（NAM）——如何通过跨空间异质城市发展模式的协同效应塑造城市活力仍未得到充分探讨。本研究构建了一个由配置、供给模式和空间布局三个维度的12个指标组成的框架，量化了NAM的协同效应和共地特征。通过时间序列数据识别城市活力的节奏，将城市空间划分为三种发展类型。此外，采用可解释的机器学习模型来揭示指标与活力强度之间的非线性关系和阈值效应。结果表明，所提出的指标平均解释了61.86%的方差。配置和供给模式表现出一致性和关键性的影响，而空间安排则表现出明显的异质性。不同开发类型的阈值差异强调了社区美化规划的环境依赖性。这些阈值为制定适合当地的规划战略提供了有数据依据的支持。

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引用次数: 0

The non-linear relationship between neighborhood environment and residents' happiness: an empirical study from low-income communities in Beijing 邻里环境与居民幸福感的非线性关系——基于北京低收入社区的实证研究

IF 5.4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2025-10-10 DOI: 10.1016/j.apgeog.2025.103804

Lei Kang , Caicai Liu , Delin Du , Wenzhong Zhang

It is widely acknowledged that the quality of the neighborhood environment has an impact on residents' sense of happiness. However, the existing literature provides limited empirical evidence of the nonlinear effects of various attributes of the neighborhood environment on residents' happiness. To fill this gap in the knowledge, this paper employs an explainable artificial intelligence approach, namely, the GBDT-SHAP method. We conducted a case study of low-income communities in Beijing to explore the nonlinear and heterogeneous relationships between the neighborhood environment and the happiness of residents during the urban transformation process. The results show that residents in mature affordable housing communities report a significantly higher level of happiness compared to those in old unit communities and public rental housing communities. The subjective environment plays a more crucial role in influencing residents' happiness. Service facility satisfaction and natural environment satisfaction were identified as the most critical variables affecting residents' happiness, with social identification in the social environment having a more pronounced impact. Among the objective characteristics of the built environment, the POI entropy index and subway accessibility are the most important variables influencing residents’ happiness, with the crime rate in the social environment having a more significant effect. Service facility satisfaction and natural environment satisfaction were positively correlated with happiness. The relationship between crime rate and unemployment rate and happiness exhibits an inverted U-shaped pattern. Additionally, we investigated the differential impacts of community environments on various aspects of happiness among local and non-local residents.

人们普遍认为邻里环境的质量对居民的幸福感有影响。然而，现有文献对社区环境各属性对居民幸福感非线性影响的实证证据有限。为了填补这一知识空白，本文采用了一种可解释的人工智能方法，即GBDT-SHAP方法。本文以北京市低收入社区为研究对象，探讨城市转型过程中邻里环境与居民幸福感之间的非线性、异质关系。结果表明，成熟经济适用房社区居民的幸福感水平显著高于旧单元社区和公租房社区居民。主观环境对居民幸福感的影响更为关键。服务设施满意度和自然环境满意度是影响居民幸福感的最关键变量，其中社会环境中的社会认同对居民幸福感的影响更为显著。在建成环境的客观特征中，POI熵指数和地铁可达性是影响居民幸福感的最重要变量，其中社会环境犯罪率的影响更为显著。服务设施满意度、自然环境满意度与幸福感正相关。犯罪率、失业率和幸福感之间呈倒u型关系。此外，我们还调查了社区环境对本地和非本地居民幸福感各方面的不同影响。

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引用次数: 0