Applied GeographyPub Date : 2024-10-23DOI: 10.1016/j.apgeog.2024.103452
{"title":"Domesticating sustainability transitions: Spatial and temporal variation of industrial eco-efficiency in China","authors":"","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":null,"pages":null},"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}
Applied GeographyPub Date : 2024-10-22DOI: 10.1016/j.apgeog.2024.103449
{"title":"Does micro-geographical proximity matter for knowledge spillovers? Evidence from the quasi-natural experiment of university relocation in China","authors":"","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":null,"pages":null},"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}
Applied GeographyPub Date : 2024-10-20DOI: 10.1016/j.apgeog.2024.103447
{"title":"Maxent modeling for predicting the potential distribution of human-elephant conflict risk in Sri Lanka","authors":"","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":null,"pages":null},"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}
Applied GeographyPub Date : 2024-10-18DOI: 10.1016/j.apgeog.2024.103440
{"title":"Investigating the contributing factors of urban crash levels: A novel stacking integrated learning framework","authors":"","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":null,"pages":null},"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}
Applied GeographyPub Date : 2024-10-17DOI: 10.1016/j.apgeog.2024.103431
{"title":"Landscape heterogeneity shows contrasting spatial patterns but similar temporal changes since the 1840s","authors":"","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":null,"pages":null},"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}
Applied GeographyPub Date : 2024-10-17DOI: 10.1016/j.apgeog.2024.103437
{"title":"Urban heterogeneity of the trade-offs between exposure to greenery and walking distance in children's home–school routes","authors":"","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":null,"pages":null},"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}
Applied GeographyPub Date : 2024-10-16DOI: 10.1016/j.apgeog.2024.103438
{"title":"Exploring an adaptive management model for “status-optimization-regulation” of mining city in transition: A case study of Huangshi, China","authors":"","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":null,"pages":null},"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}
Applied GeographyPub Date : 2024-10-15DOI: 10.1016/j.apgeog.2024.103432
{"title":"Unveiling interprovincial geographic patterns of 5A-level tourism cultural ecosystem service flows and tourist preferences in China's metacoupled systems","authors":"","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":null,"pages":null},"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}
Applied GeographyPub Date : 2024-10-13DOI: 10.1016/j.apgeog.2024.103435
{"title":"Multi-scalar assessment of ecosystem-services supply and demand for establishing ecological management zoning","authors":"","doi":"10.1016/j.apgeog.2024.103435","DOIUrl":"10.1016/j.apgeog.2024.103435","url":null,"abstract":"<div><div>Investigating supply-demand matching and scale effects on ecosystem services (ESs) helps define ecological management zoning objectives and informs policy and further research. This study constructs a framework to clarify the “static-dynamic status” of ES supply-demand matching. With China's Taihu Lake Basin (TLB) as our case study, we focused on three ESs in the water–energy–food nexus: water yield (WY), carbon sequestration (CS), and food provision (FP). By analyzing spatiotemporal variations and scale effects on supply–demand matching, we optimized the ecological management zoning. Over 2000–2020, we found decreases in CS supply and WY demand, but growing supply and demand for the other ESs. The supply–demand ratio declined for FP and CS, but increased for WY. Spatial mismatch at 30 m grid scale may disappear at sub-watershed and county scales. Four ecological management bundles were identified: city bundle (18.20% of TLB), ecological control bundle (26.62%), integrated ecological conservation bundle (20.31%), and WY–FP synergy bundle (34.87%). New theories and methods developed in this study for identifying ecological management zones through integrating both static and dynamic supply and demand relationships along with their matching status are broadly applicable, providing a valuable scientific reference for ecosystem management and policy formulation in a range of geographical settings.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":null,"pages":null},"PeriodicalIF":4.0,"publicationDate":"2024-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142434450","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 : 2024-10-13DOI: 10.1016/j.apgeog.2024.103436
{"title":"Impact and mechanisms of high-speed rail construction on carbon emissions: A quasi-natural experiment in China","authors":"","doi":"10.1016/j.apgeog.2024.103436","DOIUrl":"10.1016/j.apgeog.2024.103436","url":null,"abstract":"<div><div>Carbon emissions present a significant climate challenge for China. As a major source of these emissions, reducing transportation-related carbon output is essential to achieving the country's dual carbon goals. In this context, high-speed rail (HSR) emerges as a green, low-carbon alternative with an increasingly significant role in reducing carbon emissions. This paper explores the impact of HSR station construction on carbon emissions using data from 248 prefecture-level cities from 2003 to 2019, treating the construction as a quasi-natural experiment. Employing a spatial DID model, the research investigates how HSR construction affects carbon emission intensity within the region and in neighboring areas. It also considers socioeconomic factors to understand their mediating roles. The findings reveal that HSR construction significantly reduces regional carbon emissions over time, with long-term and gradually increasing effects. Spatially, HSR also has substantial spillover effects in reducing carbon emissions in adjacent regions. Numerically, HSR reduces carbon emissions by an average of 1.7% in the local region and 2.3% in the surrounding areas. The mechanism analysis indicates that the carbon reduction benefits of HSR stem from a complex interplay of multiple factors, with each selected factor playing a partial mediating role. Notably, the concentration of human capital and the flow of innovation are crucial pathways for regional carbon reduction. However, despite HSR's promotion of industrial structure upgrades and substitution of traditional transportation, these factors have not yet significantly contributed to carbon reduction under current conditions. These results underscore the critical position of HSR in carbon reduction and provide a theoretical foundation for future HSR planning and sustainable development policy formulation.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":null,"pages":null},"PeriodicalIF":4.0,"publicationDate":"2024-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142434451","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}