Applied GeographyPub Date : 2025-01-01DOI: 10.1016/j.apgeog.2024.103481
Lirong Hu , Qiong He , Shenjing He , Shiliang Su
{"title":"Equitable education policy or school franchising strategy? Examining the impacts of school-to-school collaboration on the housing market dynamic in urban China","authors":"Lirong Hu , Qiong He , Shenjing He , Shiliang Su","doi":"10.1016/j.apgeog.2024.103481","DOIUrl":"10.1016/j.apgeog.2024.103481","url":null,"abstract":"<div><div>Aiming at fostering a “self-improving system” where high-performing schools pair with underperforming schools to enhance educational equity, school-to-school collaboration (SSC) has gained increasing attention in education policies worldwide. Nonetheless, the effectiveness of SSC remains unclear, which may produce uneven and complex impacts on the capitalization of education in housing prices. This study employs a quasi-natural experiment based on 2013–2021 housing transaction data in Shenzhen, China and estimates the causal effects of SSC on housing market dynamics. Our models reveal that state-led SSC contributes to the capitalization of public schools into housing prices, with varying impacts across different types of schools. Specifically, underperforming and new schools see more pronounced effects immediately after their integration into SSC compared to high-performing core schools. However, one to two years after the integration, the impact becomes significant for high-performing core schools, while it diminishes for underperforming schools. These results suggest that SSC's impact on educational capitalization is immediate, primarily driven by the discursive dimension of brand-centric school franchising strategies.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"174 ","pages":"Article 103481"},"PeriodicalIF":4.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154563","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 : 2025-01-01DOI: 10.1016/j.apgeog.2024.103479
Xingying Wang , Haizhen Wen , Bin Gui , Zhenlong Liu , Liu Yang
{"title":"Urban terrain, mountain landscape, and housing price: A heterogeneous investigation of the amenity effects in a mountainous city (Guiyang) from the vertical dimension","authors":"Xingying Wang , Haizhen Wen , Bin Gui , Zhenlong Liu , Liu Yang","doi":"10.1016/j.apgeog.2024.103479","DOIUrl":"10.1016/j.apgeog.2024.103479","url":null,"abstract":"<div><div>Urban residents benefit from the fresh air, green landscapes, and recreational venues offered by mountainous cities with undulating topography and rich mountain resources. Taking Guiyang, China as case study, this study employs a hedonic pricing model to examine the amenity effects of urban terrain and mountain landscapes on housing prices from a vertical dimension. On average, housing prices increase by 1.6% for every 1 km decrease in distance from the mountain landscape, and by 0.7% for every 1 km<sup>2</sup> increase in the mountain landscape area. Furthermore, the slope of the terrain negatively affects housing prices, with a 0.4% discount in housing value for every degree of slope. Altitude, in contrast, has a negligible impact on housing prices. Notably, there is a nonlinear relationship between mountain landscape and housing prices, as terrain slop weakens the effects of proximity to mountain landscape and serves as a moderating factor. Vertical heterogeneity is also evident, with the mountain landscape distance contributing up to 4% price premium for houses located at floors above 7. Buyers of higher-priced houses place greater value on larger mountain landscape but are less sensitive to proximity. The GWR model further reveals spatial heterogeneity in amenity effects, with old urban areas showing a particularly strong positive relationship between mountain landscapes and housing prices. This study not only enhances our understanding of the amenity effects of mountain urban environments, but also contributes to the theoretical fields of mountain urban planning and urban ecology, providing new perspectives and empirical evidence for these disciplines.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"174 ","pages":"Article 103479"},"PeriodicalIF":4.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154562","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 : 2025-01-01DOI: 10.1016/j.apgeog.2024.103486
Hojun Lee , Hoon Han , Chris Pettit
{"title":"Capturing the distance decay effect of amenities on housing price using explainable artificial intelligence","authors":"Hojun Lee , Hoon Han , Chris Pettit","doi":"10.1016/j.apgeog.2024.103486","DOIUrl":"10.1016/j.apgeog.2024.103486","url":null,"abstract":"<div><div>Automated valuation models (AVMs) have been significantly enhanced by machine learning techniques, continuously improving accuracy and flexibility in data structure and statistical assumptions. However, the complexity of machine learning models also creates challenges in interpretability, often rendering them as 'black box' models, which complicates understanding and acceptability in practice. In this context, this study uses Shapley Additive exPlanations (SHAP), a prominent explainable artificial intelligence (XAI) technique, to explore the influence of housing characteristics on price valuation in Greater Sydney, specifically aiming to capture the non-linear distance decay effect of amenities on housing price, which has been underexplored in previous studies. The results of applying SHAP in this study reveal that location characteristics, represented by accessibility to amenities, are the most important features in housing valuation models. Furthermore, the study shows that the non-linear contribution to housing price is dynamic by distance and diverse by type of amenity, such as education, transportation, and community facilities.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"174 ","pages":"Article 103486"},"PeriodicalIF":4.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154564","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 : 2025-01-01DOI: 10.1016/j.apgeog.2024.103477
Longzhu Xiao, Jixiang Liu
{"title":"Corrigendum to “Exploring non-linear built environment effects on urban vibrancy under COVID-19: The case of Hong Kong” [Applied Geography 155 (2023) 102960]","authors":"Longzhu Xiao, Jixiang Liu","doi":"10.1016/j.apgeog.2024.103477","DOIUrl":"10.1016/j.apgeog.2024.103477","url":null,"abstract":"","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"174 ","pages":"Article 103477"},"PeriodicalIF":4.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154561","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 role of geographical location for work-life balance satisfaction: Insights from Italian coworking spaces","authors":"Francesca Chiara Ciccarelli, Ilaria Mariotti, Federica Rossi","doi":"10.1016/j.apgeog.2024.103485","DOIUrl":"10.1016/j.apgeog.2024.103485","url":null,"abstract":"<div><div>With the rapid advancements in information and communication technologies reshaping ways and places of work, the quest for work-life balance has gained crucial importance. Recent literature has increasingly emphasised coworking spaces as a potential solution to foster work-life balance by alleviating work-life conflicts and offering environments that favour an integration of work and leisure. Despite this growing interest, quantitative studies in this domain are still lacking. This study aims to fill this gap by drawing on data from an online survey addressed to coworking space users in Italy conducted in 2022–2023. By applying an ordered logit model, the paper investigates the factors influencing coworkers’ work-life balance satisfaction and the work-life conflicts they experienced. A specific focus is devoted to the role of the geographical location of coworking spaces, controlling for working conditions and the adoption of multilocal working and living arrangements. The results reveal that coworkers in non-urban areas report higher work-life balance levels and encounter fewer conflicts than their urban counterparts.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"174 ","pages":"Article 103485"},"PeriodicalIF":4.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154534","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 : 2025-01-01DOI: 10.1016/j.apgeog.2024.103487
Yiou Zhang , David L. Rigby
{"title":"Knowledge sourcing by multi-locational firms in Chinese cities: Mining and integrating local knowledge stocks in private and state-owned firms","authors":"Yiou Zhang , David L. Rigby","doi":"10.1016/j.apgeog.2024.103487","DOIUrl":"10.1016/j.apgeog.2024.103487","url":null,"abstract":"<div><div>A linked firm-patent dataset is generated for a sample of approximately 400 domestic, multi-locational firms operating in China over the period 2001-15. Analysis focuses on the character of technologies produced within the different R&D plants of these firms. We show that most multi-unit firms produce different kinds of knowledge within their R&D units and that the likelihood of technology differences increases with the number of R&D plants within each firm. Evidence of a geography of knowledge sourcing is presented that rests on the technological similarity between the patents produced within a firm's R&D plants and those produced in the cities where those plants are located. We also find that the average complexity of patents generated by firms is positively related to the number of R&D units that they operate. That these benefits emerge for multi-locational firms operating within a single country suggests that the constraints on knowledge diffusion operate at a relatively disaggregate spatial scale. Finally, our results indicate that collaboration between headquarters and non-headquarters R&D units within firms has a differential impact on the complexity of knowledge produced and that state versus private ownership of firms influences the nature and impact of intra-firm collaboration.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"174 ","pages":"Article 103487"},"PeriodicalIF":4.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154560","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 : 2025-01-01DOI: 10.1016/j.apgeog.2024.103478
Sunho Choi
{"title":"The trajectories of neighborhood change in historic districts within a growing context","authors":"Sunho Choi","doi":"10.1016/j.apgeog.2024.103478","DOIUrl":"10.1016/j.apgeog.2024.103478","url":null,"abstract":"<div><div>Local historic districts to preserve the character of built environments in neighborhoods function as certifying their historical significance and controlling their transformations. These functions can influence the physical fabric of neighborhoods, and their impacts may extend to socioeconomic characteristics. This study investigates the relationship between the designation of local historic districts and neighborhood change within the context of growth by exploring socioeconomic transitions in eight Western cities. Based on six neighborhood types identified by k-means cluster analysis with tract-level data between 1970 and 2020, I examine neighborhood trajectories of local historic districts compared to undesignated neighborhoods and the distinct trends in neighborhood change by the phases of district designation. This research finds that neighborhoods with local historic districts were more likely to experience upgrading movements than undesignated neighborhoods, especially prevalent during and after designation compared to the pre-designation period. The trajectories of neighborhood change in local historic districts also varied across the neighborhood types, implying a greater possibility of gentrification and displacement in unstable lower-income neighborhoods. These results highlight the potential influence of local historic districts as a catalyst for neighborhood change, requesting an integrated approach to mitigate the socioeconomic impacts of district designation for equitable and inclusive preservation practices.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"174 ","pages":"Article 103478"},"PeriodicalIF":4.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154934","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 : 2025-01-01DOI: 10.1016/j.apgeog.2024.103476
Haoran Yu , Hanwen Xiao , Xinchen Gu
{"title":"Impact of urban environmental matrices on bird diversity: Mediating effects and ecological thresholds","authors":"Haoran Yu , Hanwen Xiao , Xinchen Gu","doi":"10.1016/j.apgeog.2024.103476","DOIUrl":"10.1016/j.apgeog.2024.103476","url":null,"abstract":"<div><div>The loss of urban biodiversity presents challenges to the management of urban ecological resilience and landscape planning. Existing research has sought to uncover the impacts of interactions between biotic and abiotic factors on urban biodiversity, yet there is still a lack of sufficient depth in insights to support decision-makers in prioritizing limited resources for key areas. In this study, we utilized models such as structural equation modeling, hierarchical partitioning, and boosted regression trees to comprehensively analyze the key factors, mediating effects, and thresholds of the urban environmental matrix on bird diversity in the Shanghai area. The results identified the primary environmental matrices influencing bird diversity and their thresholds, such as vegetation cover (>0.6) and vegetation height (>10m) which promote bird diversity, whereas taller buildings (>60m) and higher building density (>0.3) are harmful. Human activities and levels of urbanization generally have a negative impact, affecting biodiversity indirectly through mediating effects such as increased habitat fragmentation and reduced habitat quality. The study emphasizes the nonlinear impacts of the built environment on bird biodiversity through mediating effects, providing new insights for urban planners to enhance biodiversity and effectively improve ecological urban resilience.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"174 ","pages":"Article 103476"},"PeriodicalIF":4.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154936","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 : 2025-01-01DOI: 10.1016/j.apgeog.2024.103482
Yanji Zhang , Qiong He , Jiejing Wang
{"title":"Understanding multi-scale educational and hukou segregation in urban China: A multilevel modeling approach","authors":"Yanji Zhang , Qiong He , Jiejing Wang","doi":"10.1016/j.apgeog.2024.103482","DOIUrl":"10.1016/j.apgeog.2024.103482","url":null,"abstract":"<div><div>The degree and causes of socio-spatial segregation at different geographic scales remain largely unexplored in Chinese cities. This study uses multilevel modeling and national micro-individual census data to analyze educational and hukou segregation at the district, subdistrict, and neighborhood scales across 333 Chinese cities. We find that educational segregation is generally more pronounced than hukou segregation, and both are more severe at smaller geographic scales. Cities in eastern China and those with higher political status are the most segregated. Our results also support both spatial assimilation and global city theories. Socioeconomic inequality, cultural differences, and global connectedness are all positively associated with segregation levels, with these associations being strongest at the neighborhood scale, where intergroup exclusion is greater. In terms of the impact of the welfare regime, government divestment of public services and housing commodification exacerbate segregation. The provision of public housing helps mitigate micro-scale educational segregation. However, it exacerbates segregation between locals and migrants who do not qualify for housing subsidies. The emergence of polycentricity exacerbates micro-scale educational segregation. Some socioeconomic factors also contribute to segregation levels. In sum, the degree and determinants of socio-spatial segregation, and the policies needed to address them, vary across geographic scales.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"174 ","pages":"Article 103482"},"PeriodicalIF":4.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154559","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":"Where drinks and danger meet: Analyzing the spatial link between Bars and crime in Detroit","authors":"Ziheng Huang , Yanqing Xu , Yuchen Li , Shanhe Jiang , Ruidun Chen","doi":"10.1016/j.apgeog.2024.103480","DOIUrl":"10.1016/j.apgeog.2024.103480","url":null,"abstract":"<div><div>Alcohol consumption has long been linked to various crimes, including homicide, assault, sex-related offenses, family violence, and chronic aggressiveness in adults. While the association between alcohol use and violent crime is well-documented, few studies have examined the spatial co-occurrence of bar locations - a primary venue for alcohol sales - and crime incidents across precise geographical locations and over time. This study employs the global colocation quotient (GCLQ) and the local colocation quotient (LCLQ) to analyze the spatial correlation between five types of liquor establishments (bar, lounge, live house, nightclub, and pub) and seven types of crimes (aggravated assault, burglary, larceny-theft, murder, motor vehicle theft, rape, and robbery) in Detroit, Michigan from 2017 to 2022. Findings demonstrate stable spatial relationships between bars and crimes across different years, with downtown bars showing a lower crime association, bars in clusters showing diverse patterns, and isolated bars in higher risk. The analysis reveals discrepancies in risk among different types. The safety index of the neighborhood surrounding bars is assessed through colocation analysis, demonstrating a correlation with bar-related security. Based on these insights, the study recommends heightened supervision for bars in high-risk areas and developing tailored prevention measures.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"174 ","pages":"Article 103480"},"PeriodicalIF":4.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154935","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}