Applied Geography最新文献

英文中文

The impact of changes in land transfer decisions on rural livelihood transitions: Evidence from dynamic panel data in China

IF 4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2025-01-14 DOI: 10.1016/j.apgeog.2025.103515

Hongping Cui , Liang Zheng , Ying Wang

Both the land transfer and livelihood transition decisions of rural households are continuously evolving and closely interconnected, particularly within the context of the ongoing rural-urban divide and agricultural modernization. Existing research, however, fails to capture the dynamics in land transfer decisions and their impacts on rural household livelihood transitions, often overlooking the endogeneity of causality. To address this gap, this study utilizes a nationally representative panel dataset of 2276 rural households to delineate households' livelihood strategies through k-means clustering and analyze the characteristics, trends in livelihood transition, and shifts in land transfer decisions among these households from 2010 to 2020. By employing panel instrumental variable methods to mitigate endogeneity effects, we investigate the effects of changes in land transfer decisions on livelihood transitions in China and examine the moderating role of social networks. The results suggest a shift in rural households' livelihood strategies from predominantly agricultural focused to a more diversified approach encompassing both agricultural and non-agricultural pursuits. There has been a growth trend in land transfer decisions, with a higher prevalence of land out-transfer compared to land in-transfer. Notably, changes in land transfer decisions exert a significant negative impact on households’ livelihood transitions (β = −0.3699, P < 0.05). Furthermore, social networks play a significant role in moderating the effects of land transfer decisions on livelihood transitions. The direction and magnitude of the impact vary depending on the differentiation in village social network structure, geomorphologic characteristics, and the presence of ecological conservation zones. These findings underscore the importance of regulating land transfer as a pivotal element of policymaking to promote sustainable rural development and enhance rural household livelihoods.

{"title":"The impact of changes in land transfer decisions on rural livelihood transitions: Evidence from dynamic panel data in China","authors":"Hongping Cui , Liang Zheng , Ying Wang","doi":"10.1016/j.apgeog.2025.103515","DOIUrl":"10.1016/j.apgeog.2025.103515","url":null,"abstract":"<div><div>Both the land transfer and livelihood transition decisions of rural households are continuously evolving and closely interconnected, particularly within the context of the ongoing rural-urban divide and agricultural modernization. Existing research, however, fails to capture the dynamics in land transfer decisions and their impacts on rural household livelihood transitions, often overlooking the endogeneity of causality. To address this gap, this study utilizes a nationally representative panel dataset of 2276 rural households to delineate households' livelihood strategies through k-means clustering and analyze the characteristics, trends in livelihood transition, and shifts in land transfer decisions among these households from 2010 to 2020. By employing panel instrumental variable methods to mitigate endogeneity effects, we investigate the effects of changes in land transfer decisions on livelihood transitions in China and examine the moderating role of social networks. The results suggest a shift in rural households' livelihood strategies from predominantly agricultural focused to a more diversified approach encompassing both agricultural and non-agricultural pursuits. There has been a growth trend in land transfer decisions, with a higher prevalence of land out-transfer compared to land in-transfer. Notably, changes in land transfer decisions exert a significant negative impact on households’ livelihood transitions (β = −0.3699, P < 0.05). Furthermore, social networks play a significant role in moderating the effects of land transfer decisions on livelihood transitions. The direction and magnitude of the impact vary depending on the differentiation in village social network structure, geomorphologic characteristics, and the presence of ecological conservation zones. These findings underscore the importance of regulating land transfer as a pivotal element of policymaking to promote sustainable rural development and enhance rural household livelihoods.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"176 ","pages":"Article 103515"},"PeriodicalIF":4.0,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143346251","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}

引用次数: 0

Intersecting sustainability and governance: The impact of industrial land price distortion on carbon emission efficiency in China

IF 4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2025-01-13 DOI: 10.1016/j.apgeog.2025.103510

Zhiji Huang , Han Li , Mingyue Song , Lin Ma

This study contributes to the literature on the relationship between sustainability and governance by examining how growth-oriented industrial development strategies impact carbon emission efficiency (CEE) in China. Using the super-efficiency SBM-DEA model, we estimate CEE for 261 prefecture-level cities from 2010 to 2022 and analyze its relationship with distortions in industrial land prices. Our findings reveal that increased distortions in industrial land prices, manipulated by local governments, hinder progress in CEE. This effect is particularly pronounced in large cities, those with abundant land and resource endowments, or cities with higher levels of economic development. The negative association operates through mechanisms such as industrial agglomeration and low-end lock-in effects. Distorted industrial land prices promote agglomeration and trap regions in low-end manufacturing, exacerbating their adverse impact on CEE. This paper underscores the critical role of institutions and market mechanisms in shaping carbon efficiency, deepening our understanding of how urban governance and institutional frameworks influence sustainability outcomes. It also offers theoretical guidance for local government actions to enhance CEE.

{"title":"Intersecting sustainability and governance: The impact of industrial land price distortion on carbon emission efficiency in China","authors":"Zhiji Huang , Han Li , Mingyue Song , Lin Ma","doi":"10.1016/j.apgeog.2025.103510","DOIUrl":"10.1016/j.apgeog.2025.103510","url":null,"abstract":"<div><div>This study contributes to the literature on the relationship between sustainability and governance by examining how growth-oriented industrial development strategies impact carbon emission efficiency (CEE) in China. Using the super-efficiency SBM-DEA model, we estimate CEE for 261 prefecture-level cities from 2010 to 2022 and analyze its relationship with distortions in industrial land prices. Our findings reveal that increased distortions in industrial land prices, manipulated by local governments, hinder progress in CEE. This effect is particularly pronounced in large cities, those with abundant land and resource endowments, or cities with higher levels of economic development. The negative association operates through mechanisms such as industrial agglomeration and low-end lock-in effects. Distorted industrial land prices promote agglomeration and trap regions in low-end manufacturing, exacerbating their adverse impact on CEE. This paper underscores the critical role of institutions and market mechanisms in shaping carbon efficiency, deepening our understanding of how urban governance and institutional frameworks influence sustainability outcomes. It also offers theoretical guidance for local government actions to enhance CEE.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"176 ","pages":"Article 103510"},"PeriodicalIF":4.0,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143346212","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}

引用次数: 0

Revealing disparities and driving factors in leisure activity segregation of residents and tourists: A data-driven analysis of smart phone data

IF 4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2025-01-13 DOI: 10.1016/j.apgeog.2025.103513

Xun Zhang , Jin Rui , Geyang Xia , Junyan Yang , Chenfan Cai , Wenjia Zhao

Activity-based segregation can lead to inequalities and exclusivity, hindering the inclusive construction of sustainable cities. However, few studies have delved into leisure segregation among residents and tourists across their full leisure activities. To address this gap, this paper examines Zhoushan, an island tourist city in China, aiming to quantify the leisure segregation of residents and tourists in the whole city, and to analyze the driving environmental factors. First, we identify the leisure destinations for both residents and tourists on different dates, using smart phone data and POI data. Then, we measure the leisure activity segregation across different group and dates. Finally, we employ XGBoost and SHAP models to explore the associations between different leisure segregations and urban built environments. The results show: (1) significant differences in leisure type preferences between residents and tourists, especially on weekends; (2) a higher degree of leisure segregation among tourists compared to residents, particularly in the new city and Puzhu functional area; (3) higher floor area ratios, greater POI density, and closer proximity to inter-city bus stations are driving factors in mitigating leisure segregation for tourists. These findings provide strategic recommendations for planners and decision-makers to promote interaction among diverse groups in urban leisure spaces.

{"title":"Revealing disparities and driving factors in leisure activity segregation of residents and tourists: A data-driven analysis of smart phone data","authors":"Xun Zhang , Jin Rui , Geyang Xia , Junyan Yang , Chenfan Cai , Wenjia Zhao","doi":"10.1016/j.apgeog.2025.103513","DOIUrl":"10.1016/j.apgeog.2025.103513","url":null,"abstract":"<div><div>Activity-based segregation can lead to inequalities and exclusivity, hindering the inclusive construction of sustainable cities. However, few studies have delved into leisure segregation among residents and tourists across their full leisure activities. To address this gap, this paper examines Zhoushan, an island tourist city in China, aiming to quantify the leisure segregation of residents and tourists in the whole city, and to analyze the driving environmental factors. First, we identify the leisure destinations for both residents and tourists on different dates, using smart phone data and POI data. Then, we measure the leisure activity segregation across different group and dates. Finally, we employ XGBoost and SHAP models to explore the associations between different leisure segregations and urban built environments. The results show: (1) significant differences in leisure type preferences between residents and tourists, especially on weekends; (2) a higher degree of leisure segregation among tourists compared to residents, particularly in the new city and Puzhu functional area; (3) higher floor area ratios, greater POI density, and closer proximity to inter-city bus stations are driving factors in mitigating leisure segregation for tourists. These findings provide strategic recommendations for planners and decision-makers to promote interaction among diverse groups in urban leisure spaces.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"176 ","pages":"Article 103513"},"PeriodicalIF":4.0,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143346213","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}

引用次数: 0

Spatial heterogeneity analysis and driving forces exploring of floating population in China's central and western regions:A case of henan province, China

IF 4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2025-01-13 DOI: 10.1016/j.apgeog.2025.103516

Wuming Jia , Xiaomin Guo

Floating populations exhibit specific characteristics and regional disparities during different geographical regions and periods, significantly impacting the China's urbanization process. Within the context of the gradual normalization of population migration and the return of population from the central and western region, a systematic study of the spatial distribution and the influencing factors of floating population is necessary. As a typical province of central and western regions of China, this study examined spatial heterogeneity of influencing factors using spatial correlation and Geographically Weighted Regression (GWR) modelling in county-level cities within Henan province in 2010 and 2020. This study found, from 2010 to 2020, floating populations showed significant spatial deviations and a trend of accelerated concentration in central cities. The hotspots were spatially agglomerated in Zhengzhou Metropolitan Circle, while the coldspots were concentrated in southeastern Henan province. The impact of market regulation and public service levels on the spatial patterns of the floating population has gradually strengthened, the influence of government regulation has gradually weakened. The degree of impact of each explanatory variable on floating population distribution varies across regions in Henan Province. This study provides references to formulate targeted governance policies for the floating population in central and western regions of China.

{"title":"Spatial heterogeneity analysis and driving forces exploring of floating population in China's central and western regions:A case of henan province, China","authors":"Wuming Jia , Xiaomin Guo","doi":"10.1016/j.apgeog.2025.103516","DOIUrl":"10.1016/j.apgeog.2025.103516","url":null,"abstract":"<div><div>Floating populations exhibit specific characteristics and regional disparities during different geographical regions and periods, significantly impacting the China's urbanization process. Within the context of the gradual normalization of population migration and the return of population from the central and western region, a systematic study of the spatial distribution and the influencing factors of floating population is necessary. As a typical province of central and western regions of China, this study examined spatial heterogeneity of influencing factors using spatial correlation and Geographically Weighted Regression (GWR) modelling in county-level cities within Henan province in 2010 and 2020. This study found, from 2010 to 2020, floating populations showed significant spatial deviations and a trend of accelerated concentration in central cities. The hotspots were spatially agglomerated in Zhengzhou Metropolitan Circle, while the coldspots were concentrated in southeastern Henan province. The impact of market regulation and public service levels on the spatial patterns of the floating population has gradually strengthened, the influence of government regulation has gradually weakened. The degree of impact of each explanatory variable on floating population distribution varies across regions in Henan Province. This study provides references to formulate targeted governance policies for the floating population in central and western regions of China.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"176 ","pages":"Article 103516"},"PeriodicalIF":4.0,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143346211","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}

引用次数: 0

Characteristics and spatial-temporal dynamics in agronomic landscape: Case study of Guangrong watershed, Northeast China

IF 4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2025-01-01 DOI: 10.1016/j.apgeog.2024.103484

Renjian Qiu , Mingfeng Kong , Zhenfeng Lei , Jinhao Shi , Zhaoyi Li , Haifeng Zheng

The distribution of crop sequences in terms of landscape position and ridge direction derived from fields is the most important element of agricultural landscapes. This landscape pattern is primarily attributable to the annual desires and actions of farmers. In this study, we proposed an agronomic landscape concept and a “field boundaries-landscape position-ridge direction-crop distribution” framework to evaluate changes in the agronomic landscape over time and space. We applied the framework to a typical small watershed in Northeast China. Based on remote sensing images from 2017 to 2022 and field surveys, we found that the maize-soybean rotation mosaic had an interannual alternate distribution in fields of high and medium landscape positions with an askew ridge direction, which dominated the agronomic landscape pattern of the watershed. Continuous soybean cropping fields were concentrated in the higher landscape positions with askew and strike ridges, and continuous maize cropping fields were concentrated in the medium and lower landscape positions with strike and cross ridges. This study presented a new insight into agricultural landscape analysis and would help improve cropland production based on agronomic landscape planning at a watershed scale.

{"title":"Characteristics and spatial-temporal dynamics in agronomic landscape: Case study of Guangrong watershed, Northeast China","authors":"Renjian Qiu , Mingfeng Kong , Zhenfeng Lei , Jinhao Shi , Zhaoyi Li , Haifeng Zheng","doi":"10.1016/j.apgeog.2024.103484","DOIUrl":"10.1016/j.apgeog.2024.103484","url":null,"abstract":"<div><div>The distribution of crop sequences in terms of landscape position and ridge direction derived from fields is the most important element of agricultural landscapes. This landscape pattern is primarily attributable to the annual desires and actions of farmers. In this study, we proposed an agronomic landscape concept and a “field boundaries-landscape position-ridge direction-crop distribution” framework to evaluate changes in the agronomic landscape over time and space. We applied the framework to a typical small watershed in Northeast China. Based on remote sensing images from 2017 to 2022 and field surveys, we found that the maize-soybean rotation mosaic had an interannual alternate distribution in fields of high and medium landscape positions with an askew ridge direction, which dominated the agronomic landscape pattern of the watershed. Continuous soybean cropping fields were concentrated in the higher landscape positions with askew and strike ridges, and continuous maize cropping fields were concentrated in the medium and lower landscape positions with strike and cross ridges. This study presented a new insight into agricultural landscape analysis and would help improve cropland production based on agronomic landscape planning at a watershed scale.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"174 ","pages":"Article 103484"},"PeriodicalIF":4.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154558","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}

引用次数: 0

Equitable education policy or school franchising strategy? Examining the impacts of school-to-school collaboration on the housing market dynamic in urban China

IF 4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2025-01-01 DOI: 10.1016/j.apgeog.2024.103481

Lirong Hu , Qiong He , Shenjing He , Shiliang Su

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.

{"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}

引用次数: 0

Urban terrain, mountain landscape, and housing price: A heterogeneous investigation of the amenity effects in a mountainous city (Guiyang) from the vertical dimension

IF 4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2025-01-01 DOI: 10.1016/j.apgeog.2024.103479

Xingying Wang , Haizhen Wen , Bin Gui , Zhenlong Liu , Liu Yang

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 km² 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.

{"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}

引用次数: 0

Capturing the distance decay effect of amenities on housing price using explainable artificial intelligence

IF 4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2025-01-01 DOI: 10.1016/j.apgeog.2024.103486

Hojun Lee , Hoon Han , Chris Pettit

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.

{"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}

引用次数: 0

Corrigendum to “Exploring non-linear built environment effects on urban vibrancy under COVID-19: The case of Hong Kong” [Applied Geography 155 (2023) 102960]

IF 4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2025-01-01 DOI: 10.1016/j.apgeog.2024.103477

Longzhu Xiao, Jixiang Liu

引用次数: 0

The role of geographical location for work-life balance satisfaction: Insights from Italian coworking spaces

IF 4 2区地球科学 Q1 GEOGRAPHY

Applied Geography

Pub Date : 2025-01-01 DOI: 10.1016/j.apgeog.2024.103485

Francesca Chiara Ciccarelli, Ilaria Mariotti, Federica Rossi

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.

{"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}

引用次数: 0

首页上一页

下一页尾页

类型

全部化学•材料生命科学医学物理工程技术环境•农林材料科学地球科学法学管理学化学环境科学与生态学计算机科学教育学经济学农林科学人文科学生物学数学物理与天体物理心理学综合性期刊其他工业工程理学历史学农学文学信息工程

数据库

全部 ACS Publications Elsevier ieeexplore Springer The Royal Society of Chemistry Wiley

期刊

Applied Geography

全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.

﹀