Applied Geography最新文献_第2页

Towards ecological civilization: Spatiotemporal heterogeneity and drivers of ecological quality transitions in China (2001–2020) 走向生态文明：中国生态质量转型的时空异质性与驱动因素（2001-2020 年）

IF 4 2区地球科学

Applied Geography Pub Date : 2024-10-24 DOI: 10.1016/j.apgeog.2024.103439

Jiaxing Xin , Jun Yang , Huisheng Yu , Jiayi Ren , Wenbo Yu , Nan Cong , Xiangming Xiao , Jianhong (Cecilia) Xia , Xueming Li , Zhi Qiao

{"title":"Towards ecological civilization: Spatiotemporal heterogeneity and drivers of ecological quality transitions in China (2001–2020)","authors":"Jiaxing Xin , Jun Yang , Huisheng Yu , Jiayi Ren , Wenbo Yu , Nan Cong , Xiangming Xiao , Jianhong (Cecilia) Xia , Xueming Li , Zhi Qiao","doi":"10.1016/j.apgeog.2024.103439","DOIUrl":"10.1016/j.apgeog.2024.103439","url":null,"abstract":"<div><div>Global urbanization and climate change have a profound influence on the ecological quality (EQ) of China. In this study, utilizing the Google Earth Engine, we calculated the spatiotemporal heterogeneity of the China Remote Sensing Ecological Index (RSEI) for the period 2001–2020. We analyzed its drivers using land use, socioeconomic, and climate data. According to the results, the national average RSEI values for 2001, 2010, 2016, and 2020 were 0.39, 0.41, 0.46, and 0.45, respectively, and the proportions of the moderate and upper grades were 54 % in 2001, 64 % in 2010, 76 % in 2016, and 73 % in 2020. The RSEI value in the forest cover area was higher than that in the urban built-up and non-vegetation cover area by 0.1–0.2. The correlation coefficients between each variable and RSEI presented a ladder distribution (along the trend distribution of the Huanyong line). Moreover, maximum temperature (Tmmx) consistently contributed the most to RSEI (the contribution rate was between 35 % and 40 %), followed by precipitation accumulation (Pre, the contribution rate was between 18 % and 28 %), and then DEM, GDP, population (PPP), and wind speed (VS), all with relatively lower contributions around 10 %. Furthermore, temperature surpassing 24 °C, precipitation below 90 mm, population exceeding 50, or GDP above 10,000 showed a negative correlation with RSEI. This study analyzed the regional differences in RSEI drivers in different regions of China, providing a reference for local targeted improvement measures.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"173 ","pages":"Article 103439"},"PeriodicalIF":4.0,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142535776","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

Analyzing disruptions in post-pandemic population return patterns: A network perspective on Chinese cities 分析大流行后人口回流模式的中断：中国城市的网络视角

IF 4 2区地球科学

Applied Geography Pub Date : 2024-10-23 DOI: 10.1016/j.apgeog.2024.103448

Xiaoyuan Zhang , Minrui Zheng , Peipei Wang , Yin Ma , Xinqi Zheng

{"title":"Analyzing disruptions in post-pandemic population return patterns: A network perspective on Chinese cities","authors":"Xiaoyuan Zhang , Minrui Zheng , Peipei Wang , Yin Ma , Xinqi Zheng","doi":"10.1016/j.apgeog.2024.103448","DOIUrl":"10.1016/j.apgeog.2024.103448","url":null,"abstract":"<div><div>The COVID-19 pandemic has fundamentally reshaped global socio-economic structures, precipitating a profound transformation in people's lifestyles. An in-depth analysis of the disruptions in post-pandemic population returns patterns and the evolving driving factors can facilitate socio-economic recovery, development, and macro-control. This paper employs social network analysis to examine the spatial patterns and evolving urban locational attributes of the Population Mobility Network (PMN) during post-holiday returns in major Chinese cities amid the pandemic, assessing the impact of varying proximities on the PMN. The results indicate that: (1) During the pandemic, the geographic patterns of population mobility in China underwent significant fluctuations, with distinct regional and temporal variations, while intercity connections increasingly shifted toward shorter trips. (2) From 2019 to 2022, major Chinese cities experienced notable changes in status and connectivity, evolving into a multi-centric structure within the national population mobility network. (3) Community clusters predominantly adhere to provincial demarcations, maintaining stable structures within major urban agglomerations despite intense intra-regional competition, with clear distinctions in community stability between northern and southern regions. (4) Beyond traditional socio-economic factors, the level of digital finance has emerged as a new driver of population mobility, with the varied attributes of inter-city relationships also significantly influencing the PMN. Studying spatial patterns and urban location from the perspective of population mobility can inform post-pandemic optimization of national resource allocation and urban recovery strategies.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"173 ","pages":"Article 103448"},"PeriodicalIF":4.0,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142535774","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

Domesticating sustainability transitions: Spatial and temporal variation of industrial eco-efficiency in China 可持续性转型的本土化：中国工业生态效率的时空变化

IF 4 2区地球科学

Applied Geography Pub Date : 2024-10-23 DOI: 10.1016/j.apgeog.2024.103452

Jing Shen , Lu Cui , Yehua Dennis Wei , Shaogu Wang

{"title":"Domesticating sustainability transitions: Spatial and temporal variation of industrial eco-efficiency in China","authors":"Jing Shen , Lu Cui , Yehua Dennis Wei , Shaogu Wang","doi":"10.1016/j.apgeog.2024.103452","DOIUrl":"10.1016/j.apgeog.2024.103452","url":null,"abstract":"<div><div>This study analyses regional industrial sustainability transitions from global and local perspectives. We measure industrial eco-efficiency (IEE) of 280 cities in China from 2010 to 2020 and analyze potential influencing factors using geographical and temporal weighted regression model. We find that foreign investment and international trade are positively associated with IEE with diminishing effects, and then local household consumption enhances IEE on the basis of local environmental governance. The effects of international environmental regulations and technology spillover on IEE are positive, as they align with China's drive for innovation. We further categorize cities into five distinct types based on the influences of both global and local factors—dominated by local environmental regulations, driven by international standards, propelled by foreign investment, shaped by local market dynamics, and affected by multiple factors. We conclude that regional industrial sustainability transitions in China are influenced by forces operating at various scales and exhibit distinct spatiotemporal variation. The drivers of these transitions have shifted from a global scale to a local scale, and both regional conditions and the stage of industrialization significantly affect the intensity of actions undertaken by different scale factors. Finally, we propose policy recommendations, considering regional heterogeneity and the stages of industrialization.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"173 ","pages":"Article 103452"},"PeriodicalIF":4.0,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142535775","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

Does micro-geographical proximity matter for knowledge spillovers? Evidence from the quasi-natural experiment of university relocation in China 微观地理邻近性对知识溢出有影响吗？来自中国大学搬迁准自然实验的证据

IF 4 2区地球科学

Applied Geography Pub Date : 2024-10-22 DOI: 10.1016/j.apgeog.2024.103449

Xiaohan Zhong, Yingcheng Li

{"title":"Does micro-geographical proximity matter for knowledge spillovers? Evidence from the quasi-natural experiment of university relocation in China","authors":"Xiaohan Zhong, Yingcheng Li","doi":"10.1016/j.apgeog.2024.103449","DOIUrl":"10.1016/j.apgeog.2024.103449","url":null,"abstract":"<div><div>With the rapid development of knowledge economy, much attention has been paid to establishing university-based innovation zones, which are often believed to facilitate knowledge spillovers from universities to enterprises. However, relatively little is known about the impact of micro-geographical proximity between universities and firms on knowledge spillovers. This paper employs university relocation as a quasi-natural experiment to explore the effective scale and the causal impact of geographical proximity on knowledge spillovers of 98 Chinese universities, as represented by patent citations. Empirical results, based on difference-in-difference strategy and an instrumental variable approach, suggest that university relocation significantly promotes knowledge spillovers to both local and non-local firms. Moreover, universities that have established their new campuses in areas with more local enterprises tend to generate more knowledge spillovers after relocation. The effect of micro-geographical proximity is further verified through a comparative analysis of two specific cases.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"173 ","pages":"Article 103449"},"PeriodicalIF":4.0,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142535773","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

Maxent modeling for predicting the potential distribution of human-elephant conflict risk in Sri Lanka 用于预测斯里兰卡人象冲突风险潜在分布的 Maxent 模型

IF 4 2区地球科学

Applied Geography Pub Date : 2024-10-20 DOI: 10.1016/j.apgeog.2024.103447

Sachini Jayakody , Ian Estacio , Corinthias P.M. Sianipar , Kenichiro Onitsuka , Mrittika Basu , Satoshi Hoshino

{"title":"Maxent modeling for predicting the potential distribution of human-elephant conflict risk in Sri Lanka","authors":"Sachini Jayakody , Ian Estacio , Corinthias P.M. Sianipar , Kenichiro Onitsuka , Mrittika Basu , Satoshi Hoshino","doi":"10.1016/j.apgeog.2024.103447","DOIUrl":"10.1016/j.apgeog.2024.103447","url":null,"abstract":"<div><div>Human-elephant conflict (HEC) is a major problem that causes loss of life to both humans and elephants. While HEC risk models have been developed in past studies, there has not been any HEC risk models developed for the country with the highest annual HEC-related elephant deaths which is Sri Lanka. Thus, this study aims to develop a nationwide model to predict the risk of HEC and identify the most significant predictor variables for HEC in Sri Lanka. HEC risk variables and thirteen predictor variables were prepared using GIS tools. The MaxEnt application was used to input the risk variables (as presence points) and predictor variables (as environmental layers) and model the probability of HEC risk at 500m resolution. The modeling showed that distance to elephant distribution areas was the most important predictor variable for HEC, followed by vegetation area, elevation, rangeland area, population density, and agricultural area. The results are supported by past studies that show the preference of elephants to remain within their usual range, but venturing out for food and water when resources are lacking. This is the first study to develop a nationwide HEC risk map for Sri Lanka using machine learning.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"173 ","pages":"Article 103447"},"PeriodicalIF":4.0,"publicationDate":"2024-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142535772","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

Investigating the contributing factors of urban crash levels: A novel stacking integrated learning framework 调查城市交通事故的诱因：新型堆叠式综合学习框架

IF 4 2区地球科学

Applied Geography Pub Date : 2024-10-18 DOI: 10.1016/j.apgeog.2024.103440

Huiwen Liu , Weihua Zhang , Zeyang Cheng , Tengfei Wang

{"title":"Investigating the contributing factors of urban crash levels: A novel stacking integrated learning framework","authors":"Huiwen Liu , Weihua Zhang , Zeyang Cheng , Tengfei Wang","doi":"10.1016/j.apgeog.2024.103440","DOIUrl":"10.1016/j.apgeog.2024.103440","url":null,"abstract":"<div><div>Crash contributing factors identification plays crucial role in preventing crashes and informing decision-making processes. However, current methods heavily rely on subjective judgments by technical experts, neglecting a comprehensive and scientific analysis. To address this gap, we propose a research framework that utilizes stacking integrated learning to predict crash risk levels and identify crash contributing factors. This framework first utilizes ArcGIS to construct adaptive buffers and obtain multi-source data (i. e., street view data, POI data, crash data). Then we integrate four single models (e.g., RF, SVM, XGBoost, NBC) as the base models, and treat their prediction results on the training data as a new feature set. We then train a meta model with the true labels as the supervision signal, thereby fusing the results of models into the meta model. The most effective model is determined through performance comparison, and the mean relative importance (MRI) of crash contributing factors on a spatial scale is derived from the results. The research results indicate that POIs have the highest MRI of 5.99% among all crash contributing factors ranking, followed by road signage markings (1.98%). These results contribute to enhancing transportation system performance, and intervening in hazardous areas in advance to reduce the occurrence of crashes.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"173 ","pages":"Article 103440"},"PeriodicalIF":4.0,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142535780","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

Landscape heterogeneity shows contrasting spatial patterns but similar temporal changes since the 1840s 自 19 世纪 40 年代以来，景观的异质性表现出截然不同的空间模式，但时间变化却相似

IF 4 2区地球科学

Applied Geography Pub Date : 2024-10-17 DOI: 10.1016/j.apgeog.2024.103431

Martina Sychrová , Hana Skokanová , Martin Musil , Jan Divíšek

{"title":"Landscape heterogeneity shows contrasting spatial patterns but similar temporal changes since the 1840s","authors":"Martina Sychrová , Hana Skokanová , Martin Musil , Jan Divíšek","doi":"10.1016/j.apgeog.2024.103431","DOIUrl":"10.1016/j.apgeog.2024.103431","url":null,"abstract":"<div><div>Studying landscape heterogeneity (LH) and its changes over time is crucial for understanding ecosystem dynamics and developing effective strategies for biodiversity conservation and climate change adaptation. However, such studies over large areas and long time periods are rare due to the limited availability of land-cover data. Here, we examine two components of LH across the Czech Republic since the 1840s, namely compositional LH representing land cover diversity and configurational LH reflecting spatial landscape structure. Using digitised topographic maps and the Shannon index, we analyse LH distribution and its relationship with land cover changes. Our results show different spatial patterns in LH components, especially in low- and mid-elevation regions compared to mountainous areas. Temporal trends indicate a consistent increase in LH since the 1870s in low- and mid-elevation regions driven by land conversion to urban and agricultural areas. Conversely, mountainous regions show contrasting trends, with compositional LH declining due to forest expansion. We emphasise the importance of considering both the compositional and configurational components of LH in ecological studies and using indices that allow direct comparison between them.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"172 ","pages":"Article 103431"},"PeriodicalIF":4.0,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142446359","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

Urban heterogeneity of the trade-offs between exposure to greenery and walking distance in children's home–school routes 儿童从家到学校路线中绿化覆盖率与步行距离权衡的城市异质性

IF 4 2区地球科学

Applied Geography Pub Date : 2024-10-17 DOI: 10.1016/j.apgeog.2024.103437

Mojtaba Khanian , Edyta Łaszkiewicz , Jakub Kronenberg , Daria Sikorska

{"title":"Urban heterogeneity of the trade-offs between exposure to greenery and walking distance in children's home–school routes","authors":"Mojtaba Khanian , Edyta Łaszkiewicz , Jakub Kronenberg , Daria Sikorska","doi":"10.1016/j.apgeog.2024.103437","DOIUrl":"10.1016/j.apgeog.2024.103437","url":null,"abstract":"<div><div>Greenery fosters sustainable outdoor environments and promotes walking and healthy lifestyles. Greening children's home–school routes can be seen as an environmentally sustainable solution that enhances their daily interaction with nature. However, the uneven distribution of greenery and route networks within cities results in varied opportunities for pedestrians, including children, to experience greenery.</div><div>This study evaluates the urban heterogeneity of trade-offs between exposure to greenery and route length. We focus on the shortest and greenest hypothetical home–school routes for all children in the city. For this purpose, we conducted a spatial analysis using multiple spatially explicit data sets on primary schoolchildren, pedestrian street networks, and high-resolution urban green space maps, with Łódź (Poland) as the case study city.</div><div>Children who opt for the greenest hypothetical routes instead of the shortest could increase their exposure to greenery by 18%. However, maximizing exposure to greenery requires choosing routes 9.5% (46 m) longer than the shortest alternative. The trade-off between the shortest and greenest home–school routes is more pronounced for children in the urban core area compared to other city zones. This urban heterogeneity should be considered when allocating new greenery to support active transportation.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"173 ","pages":"Article 103437"},"PeriodicalIF":4.0,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142445050","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Exploring an adaptive management model for “status-optimization-regulation” of mining city in transition: A case study of Huangshi, China 探索转型期矿业城市 "现状-优化-调控 "的适应性管理模式：中国黄石案例研究

IF 4 2区地球科学

Applied Geography Pub Date : 2024-10-16 DOI: 10.1016/j.apgeog.2024.103438

Yingshuang Li , Lunche Wang , Qian Cao , Xihui Gu , Yunbo Lu , Yuhua Luo

{"title":"Exploring an adaptive management model for “status-optimization-regulation” of mining city in transition: A case study of Huangshi, China","authors":"Yingshuang Li , Lunche Wang , Qian Cao , Xihui Gu , Yunbo Lu , Yuhua Luo","doi":"10.1016/j.apgeog.2024.103438","DOIUrl":"10.1016/j.apgeog.2024.103438","url":null,"abstract":"<div><div>Mining cities face the challenges of ecological transformation and sustainable development after mineral depletion. Thus, ecological space optimization and adaptive management are pivotal after ecological restoration project, but easily neglected. Taking Huangshi in Hubei Province as an example, a top-down adaptive management model for regional mining ecological space integrating status-optimization-regulation (SOR) was established based on land system resilience (LSR) evaluation, circuit theory, complex network model and community discovery algorithm. The results showed that i) As the LSR increased, the land use structure shifted from non-ecological zones to forest and cropland, indicating that balancing agriculture and forest protection was crucial for increasing LSR in Huangshi. i) The ecological networks (ENs) of Huangshi had an irregular fishnet pattern, with densely intricate corridors in the south and broader, sparser ones in the north, and numerous ecological barriers near the mining area. Furthermore, the distribution of ecological sources and corridors displayed complementarity and hierarchy. iii) The optimized ENs exhibited higher connectivity and efficiency under disturbance, reducing corridor redundancy and migration costs. iv) The ENs clusters were classified into five types based on ecological connectivity: ecological buffer zone, priority restoration zone, moderate restoration zone, natural restoration zone, and moderate development zone, and tailored ecological regulatory strategies were proposed. The findings provide practice-oriented guidance for the sustainable development of mining cities, and offer a direct approach to support conscious, clear, and coherent adaptive management of ecological restoration in rapidly changing environments.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"172 ","pages":"Article 103438"},"PeriodicalIF":4.0,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142442179","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

Unveiling interprovincial geographic patterns of 5A-level tourism cultural ecosystem service flows and tourist preferences in China's metacoupled systems 揭示中国元耦合系统中 5A 级旅游文化生态系统服务流的省际地理格局和游客偏好

IF 4 2区地球科学

Applied Geography Pub Date : 2024-10-15 DOI: 10.1016/j.apgeog.2024.103432

Tao Liu , Le Yu , Jianguo Liu , Zhenci Xu , Xin Chen , Hui Wu , Shijun Zheng , Qiang Zhao , Peng Gong

{"title":"Unveiling interprovincial geographic patterns of 5A-level tourism cultural ecosystem service flows and tourist preferences in China's metacoupled systems","authors":"Tao Liu , Le Yu , Jianguo Liu , Zhenci Xu , Xin Chen , Hui Wu , Shijun Zheng , Qiang Zhao , Peng Gong","doi":"10.1016/j.apgeog.2024.103432","DOIUrl":"10.1016/j.apgeog.2024.103432","url":null,"abstract":"<div><div>In the metacoupling Anthropocene, tourism-based culture ecosystem services flows (CESF) can establish non-material bridges from the natural to the human system, even across vast geographic distances. However, there remains a knowledge gap regarding investigation of nature-related tourist travel patterns at geographic flow scales. To address this gap, we analyzed the intracoupling (within-province), pericoupling (adjacent-province), and telecoupling (distant-provincial) flow patterns using a sample of 143,681 5A attractions travel comments with Internet Protocol (IP) location data. Emotional preferences derived from travel reviews were then quantified using machine learning models in China's post-COVID-19 pandemic era. The results showed significant spatial differences in nature-based 5A-level CESF, China's telecoupling performance of CESF (0.34) is higher than pericoupling (0.20), but intracoupling (0.46) remains dominant. Tourists from northeastern provinces exhibited a preferences for telecoupling, while those from southwestern provinces showed intracoupling patterns. Forest ecosystems contribute nearly one-third (30.70%) of cultural services and are primarily characterized by intracoupling patterns. Sentiment analysis indicated that tourists' emotional preferences vary with travel distance, with long-distance tourists tending to appreciate indigenous cultures. Overall, this study provides new insights into investigating the dynamics of CESF, which could inform policy actions aimed at revitalizing the tourism sector.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"172 ","pages":"Article 103432"},"PeriodicalIF":4.0,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142437824","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