Applied GeographyPub Date : 2024-08-10DOI: 10.1016/j.apgeog.2024.103373
Chenxi Liu , Zhenghong Peng , Lingbo Liu , Hao Wu , Jan Kinne , Meng Cai , Shixuan Li
{"title":"XAI in geographic analysis of innovation: Evaluating proximity factors in the innovation networks of Chinese technology companies through web-based data","authors":"Chenxi Liu , Zhenghong Peng , Lingbo Liu , Hao Wu , Jan Kinne , Meng Cai , Shixuan Li","doi":"10.1016/j.apgeog.2024.103373","DOIUrl":"10.1016/j.apgeog.2024.103373","url":null,"abstract":"<div><p>This research explores the nonlinear interactions among multidimensional proximities, including geographical, cognitive, organizational, institutional, social, and technological aspects, and their impact on innovation within networks of over three million technology firms in China. Utilizing an innovative combination of web-based hyperlink and textual data analysis, supplemented by patent information, we delve into how these proximity dimensions influence corporate innovation capabilities. Our methodology integrates text-based deep learning techniques and employs the XGBoost model along with the SHapley Additive exPlanations (SHAP) algorithm and partial dependence plots to uncover the nuanced effects of proximity on innovation. The findings reveal that while geographical distance often correlates with larger cognitive and organizational proximities, underdeveloped regions exhibit stronger technological, institutional, and social proximities compared to their developed counterparts. The study further identifies social structure and technological differences as pivotal factors impacting collaborative innovation, with both positive and negative effects fluctuating alongside changes in proximity dimensions. Notably, we uncover that geographical proximity has a pronounced boundary effect on innovation, highlighting the critical role of spatial considerations in the digital age of innovation networks. This research contributes to the understanding of urban innovation dynamics and offers valuable insights for policymakers and urban planners aiming to foster innovation ecosystems.</p></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"171 ","pages":"Article 103373"},"PeriodicalIF":4.0,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141963786","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 : 2024-08-10DOI: 10.1016/j.apgeog.2024.103370
Jerry Shannon, Karen Webber, Amy Stich, Amanda Aragon, Marguerite Madden
{"title":"Mapping local suitability for STEM work-related experiential opportunities in Georgia","authors":"Jerry Shannon, Karen Webber, Amy Stich, Amanda Aragon, Marguerite Madden","doi":"10.1016/j.apgeog.2024.103370","DOIUrl":"10.1016/j.apgeog.2024.103370","url":null,"abstract":"<div><p>Internships, job shadows, cooperative education programs, and other forms of experiential education can play a crucial role in students successfully transitioning from their undergraduate program to a career pathway. We collectively term these opportunities as work-related experiential activities (WREAs). While valuable, students’ access to these experiences can vary based on multiple factors, including their own socioeconomic background, access to social networks, university programs, and geographic context. Little research has been done on the last of these factors, and this paper helps fill this gap by developing a geospatial WREA opportunity index for STEM related opportunities, using census and point-of-interest data to identify census tracts with the greatest rate of WREA opportunity and attractive amenities for students. To do so, we draw on surveys and interviews across multiple college campuses in Georgia, both to identify desirable characteristics for students and to catalog the WREAs they have participated in. This index highlights disparities across college campuses, particularly between those located in metropolitan Atlanta compared to those in smaller cities in the state. This tool provides a way to quantify and visualize those differences in ways that can support investment in programs that help bridge opportunity gaps for students.</p></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"171 ","pages":"Article 103370"},"PeriodicalIF":4.0,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141963785","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 : 2024-08-09DOI: 10.1016/j.apgeog.2024.103368
Xiaoxu Xing , Weihao Shi , Xiwei Wu , Yang Liu , Xiaoxi Wang , Yaojun Zhang
{"title":"Towards a more compact urban form: A spatial-temporal study on the multi-dimensional compactness index of urban form in China","authors":"Xiaoxu Xing , Weihao Shi , Xiwei Wu , Yang Liu , Xiaoxi Wang , Yaojun Zhang","doi":"10.1016/j.apgeog.2024.103368","DOIUrl":"10.1016/j.apgeog.2024.103368","url":null,"abstract":"<div><p>Compact urban forms are essential for sustainable development, while few studies developed multidimensional urban form compactness index at the national scale from the perspective of spatial-temporal data, limiting our understanding of urban compactness mechanisms. In this study, a multidimensional urban form compactness index was created for 296 cities in China, focusing on spatial topology, morphology, and dynamics, addressing a gap in national-scale analyses from spatial-temporal viewpoints. Key findings include: (i) In the last two decades, significant alterations have occurred in urban compactness, with cities witnessing enhancements from 2005 to 2020. There's a spatial evolution trend characterized by higher compactness in the southeast and lower in the northwest, advancing from northwest to southeast. (ii) Urban expansion elements generally undermine urban compactness, whereas agglomeration efficiency elements contribute positively. (iii) Over time, while urban expansion impacts have shown relative stability over the years, agglomeration efficiency indicators have undergone an N-shaped fluctuation. Spatially, factors associated with urban sprawl enhance compactness in western and northeastern China, while land use factors are particularly effective in the northeastern, western, and northern areas. The study emphasizes the importance of using multidimensional composite indicators for thorough understanding of urban form compactness, offering significant insights for future policy and urban management.</p></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"171 ","pages":"Article 103368"},"PeriodicalIF":4.0,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141942423","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 : 2024-08-09DOI: 10.1016/j.apgeog.2024.103363
Tom Cunningham , Wendy Olsen , Nuno Pinto
{"title":"Exploring spatial non-stationarity of child labour and its related factors: A multiscale geographically weighted regression study of India","authors":"Tom Cunningham , Wendy Olsen , Nuno Pinto","doi":"10.1016/j.apgeog.2024.103363","DOIUrl":"10.1016/j.apgeog.2024.103363","url":null,"abstract":"<div><p>The relationships between various factors and child labour have been explored in the literature but, despite findings that suggest the predictive factors of child labour can vary according to context, there has been little research that has used spatial methods of analysis or attempted to estimate local relationships between covariates and the prevalence of child labour. This paper seeks to address this knowledge gap by using geographically weighted regression (GWR) and multiscale geographically weighted regression (MGWR) models. Using India 2011 Census Data as a case study, the findings show that GWR and MGWR models both perform significantly better than a global regression model across the whole of India. The study also finds significant spatial non-stationarity in the relationships between child labour and its covariates, with the association between district-level child labour rates and both the Muslim population and the child sex ratio found to have opposite directions in different parts of the country. Using MGWR, it was also possible to demonstrate that different covariates interact with child labour at various spatial scales, suggesting that interventions aiming to address varying aspects of the child labour problem may need to be deployed at different administrative levels to maximise their efficacy.</p></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"171 ","pages":"Article 103363"},"PeriodicalIF":4.0,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0143622824001681/pdfft?md5=918fc3443d1dee029f1ffd9b2fae5ecf&pid=1-s2.0-S0143622824001681-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141942431","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}
Applied GeographyPub Date : 2024-08-05DOI: 10.1016/j.apgeog.2024.103357
Mingyu Zhao , Yatao Zhang
{"title":"Exploring the dose-response of landscape preference: A case study in Singapore","authors":"Mingyu Zhao , Yatao Zhang","doi":"10.1016/j.apgeog.2024.103357","DOIUrl":"10.1016/j.apgeog.2024.103357","url":null,"abstract":"<div><p>Despite pursuing greening initiatives, cities might experience excessive greenery at the neighborhood level. The intension of this research is to promote ecosystem services and avoid the mantle of so-called “green urbanism”. Hence, examining the dose-response relationship is essential to understanding the intricate interplay between residential greenery quantity and landscape preference. Drawing upon preference assessment data from multiple neighborhoods with 30 typical scenes (n = 147), we employ Kaplan's landscape preference matrix (KLPM) to quantify the spatial distribution of greenery and individuals' preference assessment from the perspectives of Mystery, Coherence, Legibility, and Complexity. Results from multiple and ridge regressions indicate that the dose-response curve follows a polynomial shape, with landscape preferences reaching a threshold as the NDVI value increased from 0.35 to 0.42. Beyond the threshold, the trend of landscape preference levels tapers off and eventually plateaus. Therefore, the conclusion of our cross-sectional experiment adequately reflects the threshold effect of landscape preference toward greenery quantity. Furthermore, the weight of Mystery, Coherence, and Legibility in KLPM all showed a positive strong correlation, but the dose-response relationship cannot be fully explained by Complexity. These results inform how designers can more effectively promote optimal doses of nearby nature to circumvent worldwide overheated \"Garden City” initiatives.</p></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"170 ","pages":"Article 103357"},"PeriodicalIF":4.0,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141942425","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 : 2024-08-05DOI: 10.1016/j.apgeog.2024.103356
Shengfu Yang , Chen Peng , Shougeng Hu , Peng Zhang
{"title":"Geospatial modelling of housing rents from TOD using MGWR and implications on integrated transportation-land use planning","authors":"Shengfu Yang , Chen Peng , Shougeng Hu , Peng Zhang","doi":"10.1016/j.apgeog.2024.103356","DOIUrl":"10.1016/j.apgeog.2024.103356","url":null,"abstract":"<div><p>Revealing the effect of transit-oriented development (TOD) on housing rents is critical for supporting transportation financing and sustainable urban development. However, existing research has not thoroughly examined the effects of land use type and TOD type on housing rents, crucially lacking geospatial modelling. This study investigates the spatial effect of TOD on housing rents using multi-scale geographically weighted regression (MGWR) and the relationship of land use type and TOD type to this effect. The results show that MGWR accurately quantifies the spatial effect. Meanwhile, the important TOD variables (integrated transit index, land use entropy, overall walkability) have positive effects on housing rents, which show spatial heterogeneity. Moreover, the premium effect of TOD station areas with a smaller proportion of residential and commercial land and a larger proportion of educational and cultural facilities is higher. Furthermore, in TOD station areas where transportation supply capacity is high but urban development is lagging, land use entropy and overall walkability have a strong influence on housing rents. Based on the study's results, we offer three recommendations for implementing TOD practices into integrated transportation and land use planning. This study renews our understanding of the outcomes of TOD both perspectively and methodologically.</p></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"170 ","pages":"Article 103356"},"PeriodicalIF":4.0,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141942428","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 : 2024-08-05DOI: 10.1016/j.apgeog.2024.103366
Cansu Güller , Cigdem Varol
{"title":"Unveiling the daily rhythm of urban space: Exploring the influence of built environment on spatiotemporal mobility patterns","authors":"Cansu Güller , Cigdem Varol","doi":"10.1016/j.apgeog.2024.103366","DOIUrl":"10.1016/j.apgeog.2024.103366","url":null,"abstract":"<div><p>Urban mobility research is crucial due to the complex and dynamic nature of cities. Traditional zoning methods often overlook the temporal dynamics of urban space usage. This paper aims to investigate the daily rhythm of urban space usage and how built environmental features affect spatiotemporal mobility. The methodology integrates various urban data sources, including street and building vectors and points of interest (POI). In Ankara, Türkiye, temporal usage types were identified using principle component analysis and k-means algorithms via Google Maps location-based service data. Multinomial logistic regression model was used to examine the impact of built-environment factors on daily mobility patterns. Results reveal distinct daily usage rhythms, categorizing busy areas into morning, noon, early evening, late evening, diurnal, and nocturnal zones. The study finds: (1) temporal usage is closely associated with spatial characteristics and resident income; (2) work-related activities drive morning mobility, while nighttime mobility relates to residence, income, and accessibility; and (3) population density alone does not guarantee continuous activities; diverse POIs alongside high density are crucial. The identified relationship between mobility measures and urban built environment indicators provides a comprehensive understanding of spatiotemporal variations, offering insights for critical policy evaluations and proposals for the future of urban areas.</p></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"170 ","pages":"Article 103366"},"PeriodicalIF":4.0,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141942424","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 : 2024-08-03DOI: 10.1016/j.apgeog.2024.103362
Yan Yan , Canfei He , Tao Liu , Haoyan Yang
{"title":"Regional fiscal disparities in Chinese cities: Revenue-expenditure perspective","authors":"Yan Yan , Canfei He , Tao Liu , Haoyan Yang","doi":"10.1016/j.apgeog.2024.103362","DOIUrl":"10.1016/j.apgeog.2024.103362","url":null,"abstract":"<div><p>This study takes China, which is going through severe and unbalanced fiscal pressure, as the research object, using the Need-Capacity Gap method to evaluate the fiscal condition of 284 Chinese regions at prefecture level and above in 2000, 2010, and 2020, and further analyzes the changes in the fiscal disparities. The fiscal disparities of Chinese prefectures have generally shown a differentiation trend in the past 20 years, which is manifested in the continuous optimization of the areas with good fiscal conditions and the deterioration of the areas with poor fiscal conditions. The differentiation of regional fiscal conditions not only exists at the national level, but is also prevalent between and within different regions, between and within prefectures of different administrative class, and between and within prefectures of different urbanization levels. Differences in revenue raising capacity are the main driver of fiscal divergence, and the contribution of revenues to fiscal disparities has been increasing over time. Finally, the study provides a discussion on the relationship between fiscal disparities and regional inequality and the role of transfers in reducing fiscal disparities.</p></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"170 ","pages":"Article 103362"},"PeriodicalIF":4.0,"publicationDate":"2024-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141942427","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 : 2024-08-02DOI: 10.1016/j.apgeog.2024.103361
Claudia Popescu , Mihaela Covrig , Mihaela Persu
{"title":"Encounters of technology and space in the context of reindustrialization (Romania)","authors":"Claudia Popescu , Mihaela Covrig , Mihaela Persu","doi":"10.1016/j.apgeog.2024.103361","DOIUrl":"10.1016/j.apgeog.2024.103361","url":null,"abstract":"","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"170 ","pages":"Article 103361"},"PeriodicalIF":4.0,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0143622824001668/pdfft?md5=891bfaa50468d0afae3cdb36213ee209&pid=1-s2.0-S0143622824001668-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141942435","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":"Incorporating public perception of Renewable Energy Landscapes in local spatial planning tools: A case study in Mediterranean countries","authors":"Anna Codemo , Michela Ghislanzoni , María-José Prados , Rossano Albatici","doi":"10.1016/j.apgeog.2024.103358","DOIUrl":"10.1016/j.apgeog.2024.103358","url":null,"abstract":"<div><p>The European energy transition requirements have been posing many questions on the deployment of renewable energy sources. The development of renewable energy infrastructures entails landscape transformations affecting the perceived landscape quality and local acceptance. Sustainable energy spatial planning considers environmental, cultural, ecological needs but often neglect community perception of landscape transformations including both the physical landscape structures and the meanings associated to them. To address this issue, the paper aims to explore public perception and incorporate it in the planning tools. The research draws on a survey of residents of Arcos de la Frontera, Spain, conducted with the visual Q methodology, and on structured interviews with local experts. A selection of 36 different photovoltaic applications in urban and rural areas was evaluated by 21 citizens. The analysis identified four distinct viewpoints on photovoltaic applications in urban and rural landscapes. Local experts provided feedback on the current local spatial planning tools and on their consideration of landscape transformations. Considering both citizens and experts, we provided landscape integration strategies linked to siting and landscape design of solar power plants to be included in urban planning tools.</p></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"170 ","pages":"Article 103358"},"PeriodicalIF":4.0,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141942433","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}