Applied GeographyPub Date : 2025-09-27DOI: 10.1016/j.apgeog.2025.103797
Xian Li , Erfu Dai , Jun Yin , Lizhi Jia , Lin Zhao
{"title":"The dynamic changes and complex relationships of sustainable development goals in Tibet","authors":"Xian Li , Erfu Dai , Jun Yin , Lizhi Jia , Lin Zhao","doi":"10.1016/j.apgeog.2025.103797","DOIUrl":"10.1016/j.apgeog.2025.103797","url":null,"abstract":"<div><div>Balancing socioeconomic progress with environmental conservation is a main challenge to sustainable development in less developed regions. To advance regional sustainable development, it is essential to understand the dynamics of the Sustainable Development Goals (SDGs), identify synergies and trade-offs among them, and strive to enhance the former while reducing the latter. In this study, we selected 17 SDG indicators to establish an evaluation framework for measuring SDGs progress at the county level in Tibet from 2015 to 2022. Then Spearman correlation analysis was applied to explore the complex relationships among the SDGs. The results indicated that Tibet's sustainable development level showed a gradual upward trend overall from 2015 to 2022, while the scores were still low, with an average SDG score of 35.48 in 2022. The gap between SDG indicators was large, except SDG 13.2.2 (Carbon dioxide emissions), SDG 6.3.1 (Per capita annual quantity of waste-water discharged), and SDG 11.6.2 (Annual mean concentration of PM<sub>2.5</sub>), the rest of SDG indicators scored low. Counties with lower scores were primarily concentrated in the Qiangtang Plateau. In conjunction with the Moran's <em>I</em>, the spatial correlation among different counties weakened over time. The unevenness existed in sustainable development, and there were obvious differences among counties for the same SDG indicator. The interaction analysis showed that there were 23 synergies and 18 trade-offs among the 67 pairs of SDG indicators. From 2015 to 2022, the number of synergies increased from 14 to 20, and trade-offs from 11 to 18. This study provides a theoretical foundation for ecological civilization construction in Tibet and offers decision-making references for the sustainable development of economically underdeveloped regions with good ecological conditions.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"185 ","pages":"Article 103797"},"PeriodicalIF":5.4,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145159645","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}
Applied GeographyPub Date : 2025-09-26DOI: 10.1016/j.apgeog.2025.103795
Zhiran Huang
{"title":"Investigating the availability of wheelchair-accessible exits of urban rail transit stations: an explainable machine learning approach","authors":"Zhiran Huang","doi":"10.1016/j.apgeog.2025.103795","DOIUrl":"10.1016/j.apgeog.2025.103795","url":null,"abstract":"<div><div>Despite improvements in accessibility since the last century, wheelchair users continue to encounter challenges when using urban rail transit (URT), particularly due to the limited availability of wheelchair-accessible exits. Focusing on URT exits, this study aims to identify the factors influencing the provision of wheelchair-accessible exits and examine the resulting impacts on accessibility for wheelchair users. Five cities in the Greater Bay Area, China, including 749 URT stations and 3,360 exits, are included. The random forest model and the SHapley Additive exPlanations (SHAP) method are employed to investigate the contribution of nine variables from both city and station levels. At the city level, the results indicate that both GDP per capita and the number of wheelchair users positively contributed to the availability of wheelchair-accessible exits. At the station level, population density surrounding the station demonstrated an inverse exponential correlation with SHAP values, indicating that stations in densely populated areas are less likely to provide wheelchair-accessible exits. Consequently, wheelchair users need to take considerable detours, averaging 74 %, to reach points of interest within the buffer areas of stations, with the greatest detour observed when accessing financial institutions. The policy and planning implications for achieving universal design are discussed.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"185 ","pages":"Article 103795"},"PeriodicalIF":5.4,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145159643","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}
Applied GeographyPub Date : 2025-09-26DOI: 10.1016/j.apgeog.2025.103798
Feng Liu , Lunche Wang , Qian Cao , Jun Gao , Zixin Zhang , Jia Sun
{"title":"Quantifying the cooling benefits driven by global urban tree cover restoration","authors":"Feng Liu , Lunche Wang , Qian Cao , Jun Gao , Zixin Zhang , Jia Sun","doi":"10.1016/j.apgeog.2025.103798","DOIUrl":"10.1016/j.apgeog.2025.103798","url":null,"abstract":"<div><div>Rapid urbanization has triggered changes in land use patterns, reshaping the surface energy balance and vegetation functions, and resulting in significant spatiotemporal heterogeneity in vegetation cooling effects. However, there is still a lack of systematic understanding of the spatiotemporal dynamics of the cooling effect driven by urban vegetation restoration and its climate adaptation mechanisms. This study quantified the spatiotemporal dynamic patterns of tree cooling efficiency (TCE) in 1113 global cities from 2000 to 2020 and revealed the interactive regulation and threshold effects of climate context and vegetation biophysical characteristics on TCE. The results show that approximately 68 % of the 1113 cities worldwide exhibit an increasing trend in tree cover, with an average cooling efficiency of 0.138 °C/%, resulting in an average cooling benefit of 1.586 °C. Affected by differences in vegetation characteristics and climate background, the temperature mitigation effects of trees in different cities vary significantly. TCE is higher in tropical arid urban environments, while the cooling benefits are more pronounced in temperate and cold urban areas. By revealing the spatiotemporal differences in urban tree cooling effects and their climate adaptability worldwide, this analysis emphasizes the dynamic nature of TCE and the importance of continuous monitoring for the effective formulation of regional climate-resilient greening strategies.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"185 ","pages":"Article 103798"},"PeriodicalIF":5.4,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145159644","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}
Applied GeographyPub Date : 2025-09-24DOI: 10.1016/j.apgeog.2025.103779
Tamilwai J. Kolowa , Matthias Weigand , Ines Standfuß , Sebastian Klüsener , Nik Lomax , Hannes Taubenböck
{"title":"Is Germany experiencing urban or suburban growth? Contrasting long-standing and novel urban gradient classifications","authors":"Tamilwai J. Kolowa , Matthias Weigand , Ines Standfuß , Sebastian Klüsener , Nik Lomax , Hannes Taubenböck","doi":"10.1016/j.apgeog.2025.103779","DOIUrl":"10.1016/j.apgeog.2025.103779","url":null,"abstract":"<div><div>Understanding population shifts along urban-rural gradients is crucial for informed decision-making in sustainable spatial planning. Empirical accounts of urbanization and suburbanization rely on classification choices, typically derived from administrative units. Recently, novel classification approaches based on remote sensing and high-resolution population data have gained relevance. This trend, driven by methodological advancements, raises the question of whether these new approaches yield similar or different results in comparative analyses along urban-rural gradients. Our paper explores how classification choices affect assessments of population trends along the urban-rural gradient at both the national and subnational regional scales. We contrast three urban gradient classifications to analyze population change in 50 German metropolitan regions from 2011 to 2022. Results indicate that, at the national scale, observed trends in urban, suburban, and peri-urban areas are consistent across all classifications. For Germany, we find that urban areas have registered higher growth rates than suburban and peri-urban areas across all classifications. However, at the regional scale, observed trends partially depend on classification choices, suggesting that regional findings are particularly sensitive to the chosen classification scheme. The methodological framework presented here can also be applied to other geographical contexts for which similar data are available.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"185 ","pages":"Article 103779"},"PeriodicalIF":5.4,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145159642","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}
Applied GeographyPub Date : 2025-09-24DOI: 10.1016/j.apgeog.2025.103793
Boyang Zhang , Zhibin Ren , Zhenghong Miao , Lei Wang , Chengcong Wang , Peng Zhang , Shengyang Hong , Xinyu Wang , Fanyue Meng , Baosen Huang
{"title":"Strong increase in coverage but accelerated fragmentation in China's urban forests under rapid urbanization","authors":"Boyang Zhang , Zhibin Ren , Zhenghong Miao , Lei Wang , Chengcong Wang , Peng Zhang , Shengyang Hong , Xinyu Wang , Fanyue Meng , Baosen Huang","doi":"10.1016/j.apgeog.2025.103793","DOIUrl":"10.1016/j.apgeog.2025.103793","url":null,"abstract":"<div><div>Urban forest fragmentation (UFF) undermines the integrity, stability, and ecological functioning of urban ecosystems. However, under rapid urbanization, its spatiotemporal dynamics and driving mechanisms at the national scale remain insufficiently understood. Based on a constructed UFF index, this study quantifies the evolution of UFF across 291 Chinese cities from 2000 to 2022. Quadratic polynomial fitting was used to identify critical thresholds of key drivers across various climate zones and city levels, and the Geodetector model was employed to further investigate these driving factors. Results indicate that the average urban forest coverage in China was 20.32 %, with higher urban forest coverage observed in small cities and subtropical monsoon climate zones, and a general upward trend over the study period. The national average UFF index was approximately 0.59, with the highest fragmentation occurring in small cities and subtropical monsoon regions. UFF has shown continuous intensification in both mega and small cities, particularly in temperate monsoon climate zones. A distinct threshold effect was observed in the drivers of UFF: below a certain level, increases in driving factors did not reduce fragmentation and may even have exacerbated it; beyond the threshold, fragmentation decreased significantly. Furthermore, the primary drivers of UFF varied by climate zone and city level. Notably, the interaction between natural and anthropogenic factors demonstrated stronger explanatory power than individual factors. These findings enhance our understanding of UFF under rapid urbanization and provide valuable insights for sustainable urban forest management.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"185 ","pages":"Article 103793"},"PeriodicalIF":5.4,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145120055","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}
Applied GeographyPub Date : 2025-09-23DOI: 10.1016/j.apgeog.2025.103789
Ha Kyeong Lee , Junyong Choi , Youngchul Kim
{"title":"Global brand cities: Driving the global leading cities of high value industry through world city network with global brands","authors":"Ha Kyeong Lee , Junyong Choi , Youngchul Kim","doi":"10.1016/j.apgeog.2025.103789","DOIUrl":"10.1016/j.apgeog.2025.103789","url":null,"abstract":"<div><div>This study introduces the concept of a “Global Brand City,” which suggests that global cities emerge from a world city network formed by global brands. Our goal is to identify the relationship between global cities and high-value-added industries. High value industries are closely linked to urban employment creation and economic development, especially in global cities. By defining global brands as a transnational actor of high value industries, we constructed and analyzed a network using various centrality indices. Our proposed method revealed differences between the producer-service industry based global cities and the global brand cities based on the high value industries. Global brand headquarters cities tend to be concentrated in industrial and economic cores of developed countries. In contrast, global brand branch office cities tend to be associated with market entry or talent attraction. These two types of cities interact through their respective differentiation and competitiveness, forming high value industries and the world city network of global brands. The proposed method can highlight how global cities play a pivotal role in high-value industries.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"185 ","pages":"Article 103789"},"PeriodicalIF":5.4,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145109505","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}
Applied GeographyPub Date : 2025-09-22DOI: 10.1016/j.apgeog.2025.103790
Jinyu Huang , Yang Wang , Xiaoli Yue , Shaojian Wang , Jun Chu
{"title":"The relationship between built environment and housing vacancy rates: Can compact development reduce vacancy?","authors":"Jinyu Huang , Yang Wang , Xiaoli Yue , Shaojian Wang , Jun Chu","doi":"10.1016/j.apgeog.2025.103790","DOIUrl":"10.1016/j.apgeog.2025.103790","url":null,"abstract":"<div><div>Urban housing vacancies represent a mismatch between the population and available housing. Studies investigated the direct influence of specific built environment factors on housing vacancy rates; however, discussions from the perspective of compact built environments remain scarce. Structured around the 5D framework, this study empirically investigates 154 subdistricts in Guangzhou and employs a random forest approach to assess how built environment factors can affect housing vacancy rates. This study obtains several key findings. (1) A compact built environment can effectively reduce housing vacancy rates. Within certain thresholds, housing vacancy rates decline as the POI density and the building density increase. Low housing vacancy rates are observed in areas with small plot areas, high road density, and high education accessibility. (2) Among the five dimensions of the built environment, the density dimension plays the most significant role in reducing housing vacancy rates, followed by the design dimension. Moreover, the effects of built environment factors on housing vacancy are nonlinear and exhibit clear threshold effects, thereby suggesting that urban planning and design should account for reasonable threshold levels. The conclusions highlight the complex nonlinear impact of urban built environments on housing vacancy and provide empirical evidence supporting the role of compact built environments in addressing housing vacancy. The findings offer insights for sustainable urban development.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"185 ","pages":"Article 103790"},"PeriodicalIF":5.4,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145109504","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}
Applied GeographyPub Date : 2025-09-19DOI: 10.1016/j.apgeog.2025.103778
Yannan Zhou , Yuli Shan , Ze He , Yu Yang
{"title":"Unveiling global energy inequality through the mismatch between embodied energy and value-added transfer","authors":"Yannan Zhou , Yuli Shan , Ze He , Yu Yang","doi":"10.1016/j.apgeog.2025.103778","DOIUrl":"10.1016/j.apgeog.2025.103778","url":null,"abstract":"<div><div>Global trade in embodied energy plays a critical role in shaping patterns of energy access and equity, yet its implications for energy welfare remain insufficiently explored. This study examines the distribution of energy welfare embedded in trade across 141 countries and regions from 2000 to 2019 by analyzing the divergence between embodied energy transfers and the economic value they generate. The results reveal that imbalances in embodied energy trade have significantly reshaped energy access. Developed economies, such as the US and the EU, benefit disproportionately through energy surpluses in trade. In contrast, emerging manufacturing countries, such as China, and resource-dependent economies, like Saudi Arabia, experience substantial embodied energy outflows. The structure of embodied value-added transfers has also undergone a major transformation, shifting from a centralized configuration to a more diversified and decentralized network. Countries such as China and Russia have emerged as dominant exporters of value-added, while the US and the UK have become major importers. These patterns reflect a global asymmetry in energy welfare, with developed economies positioned at the core of “beneficiary zones” by capturing both energy and economic gains through trade, while less developed economies are often situated in “loss zones,” contributing energy-intensive exports without proportional economic compensation. Moreover, the rise of South–South trade has further exacerbated these inequities. The findings provide insights into the global energy welfare distribution and its implications for trade fairness and equity.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"185 ","pages":"Article 103778"},"PeriodicalIF":5.4,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145107706","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}
Applied GeographyPub Date : 2025-09-18DOI: 10.1016/j.apgeog.2025.103788
Andong Guo , Wenze Yue , Jun Yang , Mengmeng Li
{"title":"Assessing inequality in population exposure of urban heat across China's major cities","authors":"Andong Guo , Wenze Yue , Jun Yang , Mengmeng Li","doi":"10.1016/j.apgeog.2025.103788","DOIUrl":"10.1016/j.apgeog.2025.103788","url":null,"abstract":"<div><div>Global warming and intensified heatwaves threaten human health and urban sustainability, representing critical global public health challenges. While previous studies have quantified urban heat exposure (UHE), comprehensive investigations into its spatial distribution and social equity at the block level in China remain limited. This study employs data from 43 major Chinese cities, integrating sources such as OpenStreetMap, remote sensing imagery, and housing prices to reveal UHE patterns and inequity. Our findings show that, in most cities, lower housing prices are associated with higher levels of UHE, underscoring the disproportionate thermal burden borne by socioeconomically disadvantaged populations. Furthermore, cities with elevated UHE Gini coefficients are primarily concentrated in central China, reflecting greater intra-urban inequality in UHE across these regions. Interestingly, in approximately 60.46 % of the cities, cumulative UHE is predominantly concentrated among low-income groups. Finally, our analysis demonstrates that the standard deviations of building density and building height, as well as the mean water area within each block, significantly influence UHE equity, highlighting the role of intra-urban structural heterogeneity in shaping thermal disparities. Overall, these findings deepen our understanding of UHE patterns and inequities within Chinese cities, offering essential insights for urban planning and environmental justice.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"185 ","pages":"Article 103788"},"PeriodicalIF":5.4,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145107705","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}
Applied GeographyPub Date : 2025-09-17DOI: 10.1016/j.apgeog.2025.103780
Robin Khalfa , Wim Hardyns
{"title":"On how population-at-risk estimates influence crime rates and predictions: Comparing residential and ambient-like estimates","authors":"Robin Khalfa , Wim Hardyns","doi":"10.1016/j.apgeog.2025.103780","DOIUrl":"10.1016/j.apgeog.2025.103780","url":null,"abstract":"<div><div>The present study compares different residential and ambient-like population estimates across two key applications in spatiotemporal crime analysis: (1) the calculation of crime rates, and (2) the prediction of monthly micro-geographic crime risks using machine learning. Using data from Ghent, Belgium across three crime types (i.e., aggressive theft, battery incidents and bicycle theft), we compared traditional administrative residential counts with mobile phone data and various alternative population estimates (i.e., GHS, WorldPop, ENACT and LandScan). Results show that mobile phone counts provided the most robust proxy for the true population-at-risk, demonstrating stronger associations with crime risk and resulting in different crime rates and improved crime prediction performance measures. However, openly accessible alternatives such as GHS and WorldPop redistributed residential estimates performed comparably well, likely due to their incorporation of features that indirectly capture human activity patterns. The findings support crime opportunity theories and highlight that both the nature of population data and its spatiotemporal resolution may substantially influence crime analysis outcomes. For crime prevention, population estimates that directly or indirectly account for human mobility patterns provide avenues to improve crime risk estimation and resource allocation, with freely available alternatives offering cost-effective solutions when fine-grained data are inaccessible.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"185 ","pages":"Article 103780"},"PeriodicalIF":5.4,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145107704","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}