Applied Geography最新文献

{"title":"Geographic constraints on rapid comprehension of tornado warning information","authors":"Jason C. Senkbeil ,&nbsp;Kathleen Sherman-Morris ,&nbsp;S.M. Asger Ali ,&nbsp;Cole Vaughn ,&nbsp;Bernard Abubakari ,&nbsp;Daniella Alaso","doi":"10.1016/j.apgeog.2025.103598","DOIUrl":"10.1016/j.apgeog.2025.103598","url":null,"abstract":"<div><div>Sketch-mapping activities with in-person interviews were conducted with 65 participants in Alabama and Mississippi to explore how geographic awareness impacts risk perception for tornadoes. Geographic awareness metrics represented three variables: 1) the distance between their perceived home location and actual home location (P-A) on a blank map, 2) the correct percentage of counties (POC) labeled that bordered their home county, and 3) an assessment of the accuracy of their county shape (SHP) from their drawing. Results showed that participants who are more competent in one area of geographic awareness will also have some competency in the other measures. Accurate knowledge of tornado path direction was statistically significant with P-A distance, POC, SHP, and number of roads drawn. The demographic characteristics of participants and their geographic awareness scores were used with Principal Components Analysis and Cluster Analysis to detect which traits of participants were associated with better geographic awareness. Four distinct groups were identified with two groups having low or poor geographic awareness. The traits associated with these groups are nuanced. Of the four groups, the lowest ranking poor local geography group was characterized by the highest rate of home ownership, and was ranked second oldest, second in time lived in the county, and second in education, with higher racial and ethnic diversity than two groups. This suggests that experience, age, and education do not necessarily translate into knowing geographic information about the county or city. People with low geographic awareness are at a disadvantage when making protective action decisions during tornado warnings. More research is needed to examine the robustness of these results to determine best strategies for communicating information.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"178 ","pages":"Article 103598"},"PeriodicalIF":4.0,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143643915","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}

{"title":"How do multidimensional tourism factors affect community resilience?","authors":"Gwanhui Han ,&nbsp;Eunjung Yang","doi":"10.1016/j.apgeog.2025.103597","DOIUrl":"10.1016/j.apgeog.2025.103597","url":null,"abstract":"<div><div>Community resilience is increasingly evaluated in light of growing uncertainties posed by disasters. While earlier research primarily focused on community-level factors, such as average income and education levels, recent studies have highlighted the importance of individual perceptions and industry contributions in shaping community resilience. Based on earlier discussions on the spatially diverse impacts of tourism on community resilience, this study investigates how individual- and industry-level factors in tourism contribute to community resilience over time and across regions. Using geographically weighted regression, we examined the spatially heterogeneous impacts of tourism factors on community resilience in tourism-dependent communities in Florida and the broader United States for 2015 and 2020. Notably, in contrast to national trends, excessive tourist congestion in Florida was not associated with a decline in community resilience, even when individual awareness of climate change was high. This indicates that raising awareness of climate change alone may be insufficient unless issues like tourist influx are directly addressed. Our findings emphasize the multidimensional nature of community resilience, advancing resilience theory and providing practical insights for localized strategies aimed at enhancing community resilience, particularly in tourism-dependent communities.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"178 ","pages":"Article 103597"},"PeriodicalIF":4.0,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143632175","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}

{"title":"Technology transfer in asymmetric innovation corridors: Theory and empirical evidence from China","authors":"Yi Guo ,&nbsp;Pengxin Chen ,&nbsp;Yuanyuan Wan ,&nbsp;Yiwen Zhu ,&nbsp;Xianzhong Cao ,&nbsp;Gang Zeng","doi":"10.1016/j.apgeog.2025.103599","DOIUrl":"10.1016/j.apgeog.2025.103599","url":null,"abstract":"<div><div>While top universities, tech giants, venture capitalists, and professional managers are pivotal in creating innovation corridors in Western developed countries, they are often lacking or scarce in emerging economies. China is currently developing an “asymmetric” innovation corridors model led by government policy, with the G60 Innovation Corridor as a noteworthy success story. However, this phenomenon has received limited theoretical attention. This paper conducts a social network analysis of technology transfer in strategic emerging industries along the G60 Innovation Corridor. We find that the scale of technology transfer from core cities to relatively less developed cities along the corridor is increasing, with numerous new technology transfer pathways emerging. Empirical findings further indicate that the government-led policy plays a significant role in this process. The specific internal mechanisms include the G60 Innovation Corridor policy's emphasis on integrating technology, digitalization, and finance, facilitating the agglomeration of high-tech enterprises, and enhancing innovation ecology (e.g., basic research, investment in scientific research, and openness to external influences). Moreover, our study reveals that policies related to the G60 Innovation Corridor not only facilitate firm-to-firm technology transfer but also enable technology transfer from scientific organizations (universities, research institutes) in core cities to firms in relatively less developed cities along the corridor.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"178 ","pages":"Article 103599"},"PeriodicalIF":4.0,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143621169","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}

{"title":"Environmental determinants of dynamic jogging patterns: Insights from trajectory big data analysis and interpretable machine learning","authors":"Wei Yang ,&nbsp;Jun Fei ,&nbsp;Jingjing Li ,&nbsp;Wende Li ,&nbsp;Xuefeng Xie","doi":"10.1016/j.apgeog.2025.103596","DOIUrl":"10.1016/j.apgeog.2025.103596","url":null,"abstract":"<div><div>The dynamic patterns of leisure jogging profile the jogger-environment interactions. However, the dynamic patterns and their nonlinear associations with environmental factors are poorly explored. Therefore, we develop a framework to uncover the dynamic jogging patterns and interpret their nonlinear and interactive associations with environments. Initially, the bivariate time series clustering method discerns daily and weekly patterns from the integrated jogging flow and duration. Then, interpretable machine learning methods including CatBoost, SHAP, and ALE plots elucidate the nonlinear and interactive relationships. An empirical analysis of Beijing, China was conducted using multisource data. Our finding highlights that (1) five distinct daily and weekly jogging patterns were investigated for area zoning. These patterns show notable spatial-temporal disparities in jogging flow and duration. (2) Built environment (BE) and visual environment are crucial in shaping jogging, with accessibility and facilities being significant contributors. (3) Environmental variables show significant nonlinear and threshold effects on leisure jogging, which vary across jogging patterns and urban areas. (4) Interaction effects among environmental factors were investigated. BE factors like sports amenity exert more significant interactions. Importantly, incorporating geographic locations enhances model performance as it captures spatial effects. These findings can help planners design refined intervention strategies for leisure activities.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"178 ","pages":"Article 103596"},"PeriodicalIF":4.0,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143628763","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}

{"title":"Quantifying the anthropogenic sensitivity of ecological patterns in arid urban agglomeration","authors":"Haowei Mu ,&nbsp;Shanchuan Guo ,&nbsp;Xingang Zhang ,&nbsp;Bo Yuan ,&nbsp;Chunqiang Li ,&nbsp;Peijun Du","doi":"10.1016/j.apgeog.2025.103595","DOIUrl":"10.1016/j.apgeog.2025.103595","url":null,"abstract":"<div><div>Human activities have profoundly reshaped fundamental ecological processes, pushing ecosystems toward unsustainable trajectories, particularly in the ecologically fragile regions such as Hohhot-Baotou-Ordos-Yulin urban agglomeration. To address these challenges, a quantitative framework was developed to evaluate anthropogenic sensitivity of ecological patterns. Functional connectivity was modeled using an omnidirectional circuit model to represent regional ecological patterns, with landscape elements extracted through morphological analysis. The mechanisms, intensity and pathways of anthropogenic sensitivity were explored using Geodetector and structural equation modeling, identifying habitat quality as a key mediating factor. The findings indicate that improving habitat quality greatly enhances omnidirectional connectivity. Among landscape elements, islets exhibit lower connectivity than the edges of core areas, despite higher resistance being assigned to the edges. In the Mu Us Desert, strip-like corridors serve as connectors but remain fragile, whereas in the Kubuqi Desert, patch-like corridors primarily function as barriers. Habitat quality and cultivated land emerge as dominant drivers of omnidirectional connectivity, while population and bare land contribute negatively through interactive effects that exceed the impacts of individual factors. Habitat quality directly enhances omnidirectional connectivity, with a path coefficient of 0.67. Bare land negatively impacts habitat quality, with a coefficient of −0.65, while cultivated land has a negative effect on grassland, with a coefficient of −0.82, indirectly shape regional ecological patterns. This study provides a quantitative understanding of the mechanisms driving anthropogenic sensitivity in ecological patterns, offering valuable insights to guide and optimize ecological spatial planning in arid urban agglomerations.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"178 ","pages":"Article 103595"},"PeriodicalIF":4.0,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143600474","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}

{"title":"The economic geography of beer production in the context of trade liberalization and economic nationalism: The Mexican experience","authors":"Haoying Wang ,&nbsp;Rafael Garduno-Rivera ,&nbsp;Neil Reid","doi":"10.1016/j.apgeog.2025.103589","DOIUrl":"10.1016/j.apgeog.2025.103589","url":null,"abstract":"<div><div>The US is the most important export market for Mexican beer, generally accounting for over 80% of export sales. While the success of Mexican beer can be explained by a number of many factors, geography is the backbone. It explains not only the cultural underpinnings of Mexican beer's success (e.g., immigration) but also other mechanisms and arrangements (e.g., geography-based trade policy) that have powered its industrialization in Mexico. This study examines the economic geography of beer production in Mexico over the past three decades, spanning significant changes in the trade environment and economic policies. Our empirical analysis focuses on exploring the determinants of the spatial distribution of brewing capacity at the municipality level in Mexico. The results show that despite the significant inflow of foreign capital into the Mexican brewing industry and its growing emphasis on the export market (especially the U.S. market), domestic demand in Mexico is still critical to the brewing industry.</div><div>Additionally, we find that minimum wage is not binding in the Mexican brewing industry, suggesting that the export-oriented industrial development strategy helps justify the industry’ higher labor cost. However, this is not the case with transportation costs. The results show that the brewing capacity is more likely located near freshwater resources and the US-Mexico border, ceteris paribus, to be closer to the key input and the U.S. market. We find no evidence of impacts from the economic nationalism-driven federal economic policies on the brewing industry, suggesting that the brewing industry, as part of the light manufacturing sector, may not have been a target of Mexico's state-led economic reform over the past several decades. We discuss these findings within the context of several policy frameworks that are important to understanding the geography of the Mexican brewing industry.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"178 ","pages":"Article 103589"},"PeriodicalIF":4.0,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143611653","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}

{"title":"Exploration of ecological compensation standard: Based on ecosystem service flow path","authors":"Zhiying An ,&nbsp;Caizhi Sun ,&nbsp;Shuai Hao","doi":"10.1016/j.apgeog.2025.103588","DOIUrl":"10.1016/j.apgeog.2025.103588","url":null,"abstract":"&lt;div&gt;&lt;div&gt;Ecosystem service flows are crucial links connecting ecosystems and human well-being. Clarifying the WEF(water-energy-food) service flow paths under the supply-demand balance has significant implications for regional ecosystems and sustainable human development. This study first identified the scale effect for the supply and demand areas of WEF in different periods. Then, this study innovatively used the supply-demand competition-based 2SFCA (two-step floating catchment area) and SPANs (service path attribution networks) model to simulate the WEF supply-demand service flow paths based on different service transport media. Finally, the study proposed a new ecological compensation strategy based on service flows for a WEF service flow after corrected the ecological compensation coefficient. The results showed that (1) The smaller the spatial scale, the more “fragmented” the supply-demand distribution. From 2000 to 2020, WEF services in Northeast China exhibited significant spatial and temporal dynamics. Water and food supplies increased substantially, with water supply average values between 1500 and 2000 t/hm&lt;sup&gt;2&lt;/sup&gt; across scales and food supply exceeding 4 t/hm&lt;sup&gt;2&lt;/sup&gt; by 2020, while energy supply slightly declined, and demand for all services showed spatial clustering linked to socio-economic patterns. (2) With the reduction of spatial scale, the WEF flow became intricate and showed dynamic changes. Water service flows mainly increased from north to south and east to west, with most flow ranges between 0 and 200 m&lt;sup&gt;3&lt;/sup&gt;/hm&lt;sup&gt;2&lt;/sup&gt;. Energy service flows moved chiefly from northeast to southwest, with most flows below 100 t/hm&lt;sup&gt;2&lt;/sup&gt;. Food was primarily transported from east to central regions, with flows mainly within 0.3 t/hm&lt;sup&gt;2&lt;/sup&gt; (3) The spatial scale of ecological compensation schemes was directly related to the amount of compensation. At the municipal scale, water service flows showed a maximum compensation of 1285 million yuan in Harbin and Mudanjiang, while beneficiaries of energy services in western Liaoning received up to 492 million yuan. Due to sufficient supply, no food compensation was required. At the county scale, the highest water compensation was 83.7 billion yuan in Xinglongtai, while western counties generally received below 10 billion yuan. Energy and food compensation beneficiaries were concentrated in Jilin, Kuandian, and Yushu, with maximum amounts of 53.4 billion and 50 billion yuan, respectively, while the primary payers were in densely populated areas. At the sub-watershed scale, high compensation payers for water services, such as the Hun and Taizi River watersheds, contributed amounts ranging from 50 million to 1.41 billion yuan, while energy compensation payments reached a maximum of 62 billion yuan. Food compensation beneficiaries concentrated in the downstream sub-watersheds of the Heilong and Woken Rivers, where amounts from 3 to 3.9 billion yuan. In the future, multi-scale c","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"178 ","pages":"Article 103588"},"PeriodicalIF":4.0,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143600475","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}

{"title":"On framing flood risk communications through maps: Effects on the real estate market","authors":"Nimra Yousaf ,&nbsp;Avidesh Seenath ,&nbsp;Linda Speight","doi":"10.1016/j.apgeog.2025.103574","DOIUrl":"10.1016/j.apgeog.2025.103574","url":null,"abstract":"<div><div>Flood maps are commonly used for flood risk communication. Misinterpretation of these maps can lead to over-heightened flood risk perception, with adverse risks for real estate markets. We, therefore, aim to identify an appropriate approach for framing these maps to mitigate such risks. To do this, we carry out five randomised control trials (RCT) in the UK and Pakistan, with each RCT asking a different group of 40 residents in each country to specify their willingness-to-pay (WTP) for coastal residential properties. In the first RCT, we provide no flood risk map. In each subsequent RCT, we provide a flood risk map framed differently. Our flood risk map frames include those with technical language, colour variations, and more accessible risk information. Our findings indicate that real estate demand uncertainty increases in response to flood risk maps, regardless of the framing approach used. We find that there is less WTP for properties in any zones with flood risk information, regardless of whether the risk is very low. This finding indicates that risk aversion takes precedence in real estate decisions under flood risk maps, leading to property devaluation in all flood risk zone categories. We discuss the wider implications of these findings.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"178 ","pages":"Article 103574"},"PeriodicalIF":4.0,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143592138","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}

{"title":"Habituating urbanity: The (re)production of socio-spatial configurations on/offline through coworking","authors":"Mao Yue","doi":"10.1016/j.apgeog.2025.103593","DOIUrl":"10.1016/j.apgeog.2025.103593","url":null,"abstract":"","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"178 ","pages":"Article 103593"},"PeriodicalIF":4.0,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143592137","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}

{"title":"Association between multidimensional poverty and urban spatial network design: Comparison between theory-driven and data-driven lenses","authors":"James Gachanja ,&nbsp;Lei Shuyu ,&nbsp;Nashon Adero","doi":"10.1016/j.apgeog.2025.103578","DOIUrl":"10.1016/j.apgeog.2025.103578","url":null,"abstract":"<div><div>Poverty is increasingly identified as an urban phenomenon despite the promise that urban areas hold as the centres of economic and social progress. There is a need for knowledge on how the spatial network design, a signature of urban areas, is associated with poverty. This paper addresses this need by combining conventional theory-driven and emerging data-driven methods. We computed a multidimensional poverty index -MPI using geocoded household survey data in Kenya, which was treated as the dependent variable (target). The spatial Design Network Analysis (DNA) plug-in in ArcGIS Pro was used to quantify metrics of the spatial network design from a road network dataset of the study area, which was treated as the independent variables (features). We used the capability approach to provide a theoretical basis linking the social and physical network attributes. We then applied logistic regression and a machine learning algorithm, XGBoost, to analyse the network predictors of multidimensional poverty while controlling for confounders. The results of the logistic regression suggested that network density had the largest magnitude of margins (−1.004), which is significant at (p &lt; 0.01) and negatively associated with multidimensional poverty. In contrast, results from the XGBoost algorithm suggested that network efficiency was the most important feature of the road network, with an impact of 16 percentage points. Severance and betweenness were among the top five important features of the network in both logistic regression and XGBoost. The situation of a household in either a formal or informal settlement was the most important confounder in both models. The results suggest that theory-driven logistic regression outperforms the machine learning algorithm based on our data and method. The logistic regression had an AUC of 0.794 compared to 0.692 in XGBoost. Our paper contributes to the knowledge about the association between spatial network design and multidimensional poverty, which helps improve our hypothesis and informs our theory. In addition, the results reveal the spatial design features that planners and policymakers should pay attention to in urban areas. We propose further research considering spatial heterogeneity and spatial dependence in the analysis.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"178 ","pages":"Article 103578"},"PeriodicalIF":4.0,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143592140","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}