Habitat International最新文献_第5页

Block-scale modeling of residential land prices: Incorporating multilevel determinants and explainable artificial intelligence

IF 6.5 1区经济学 Q1 DEVELOPMENT STUDIES

Habitat International

Pub Date : 2025-02-01 DOI: 10.1016/j.habitatint.2024.103283

Peng Zhang , Shengfu Yang , Jiayue Huang , Shougeng Hu

Accurate urban residential land price modeling is essential to optimize land allocation, shape tax policies, and promote sustainable urban development. Traditional statistical models often struggle to capture the interactive and nonlinear effects of determinants on land prices. This study integrates multilevel determinants based on hedonic pricing theory with explainable artificial intelligence (XAI) techniques to improve land price modeling. Focusing on Wuhan, we used geographic big data and street view images to evaluate location, neighborhood, and environmental factors at various spatial levels, including nearest accessibility, 15-min walk availability, and residential cluster availability. These factors were incorporated into three tree-based machine learning algorithms, random forest, gradient boosting tree, and eXtreme gradient boosting (XGB), to build predictive models. The XGB model outperformed the others and was used to predict prices in unobserved blocks. SHapley Additive exPlanations were applied to interpret the results, revealing key determinants of land prices. The proximity to rivers and central business districts emerged as significant factors. The influence of urban amenities varied on spatial scales, and green spaces had a stronger impact on the 15-min walk scale than on the larger residential cluster scale. Nonlinear threshold effects were identified, such as the diminishing negative impact of distance to the nearest metro station within a 1.5 km radius, beyond which the effect becomes negligible. Notably, significant interactive effects were observed, particularly the synergistic relationship between riverside locations and the visual presence of street green spaces, which together enhance land value. This study combines hedonic pricing with XAI to improve both predictive accuracy and interpretability, supporting evidence-based decision-making for smart urban planning and governance.

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引用次数: 0

Validating the age-friendly cities and communities questionnaire in Australia: Revealing five distinct groups of older people in Greater Adelaide

IF 6.5 1区经济学 Q1 DEVELOPMENT STUDIES

Habitat International

Pub Date : 2025-02-01 DOI: 10.1016/j.habitatint.2024.103278

Romy Wasserman , Helen Barrie , Jeroen Dikken , Joost van Hoof , Veronica Soebarto

To date, a range of qualitative and mixed-methods approaches have been applied to assess the age-friendliness of cities and communities. The Age-Friendly Cities and Communities Questionnaire (AFCCQ) has been developed to fill a gap for a systematic quantitative method approach to evaluate baseline age-friendliness in cities and communities and then measure ongoing efforts to become more age-friendly, aligned with the model by the World Health Organization (WHO). As such, it offers a valid and valuable quantitative method for cities to assess age-friendliness.

This paper presents the process and results of a study undertaken to test the validity and reliability of the AFCCQ for the Australian context. It is part of a broader cross-cultural project seeking to test the AFCCQ across Europe, Asia, Oceania, and North America to generate methodological insight and comparable data. Informed by consultation with local experts in population and ageing research, as well as with people aged 65 and over, the instrument proved reliable in the Australian context before being distributed to 334 older people in Greater Adelaide for validation.

Results show that the AFCCQ-AU proved a valid and reliable tool for evaluating the age-friendliness of larger cities and communities in Australia. Overall, the total score indicated moderate-good satisfaction with the age-friendliness features of the Greater Adelaide Region with the domain of Housing scoring highest (highly satisfactory). Psychometric validation and cluster analysis led to the identification of five typologies of older people living in Greater Adelaide, characterised by distinct socio-demographic profiles and concomitant experiences and evaluations of age-friendliness.

This Australian validation adds further weight to the role of the AFCCQ in being able to assess the age-friendliness of cities and communities across the WHO's Global Network for Age-Friendly Cities and Communities. Used in combination with the rich and nuanced qualitative data at the local level, the tool has the ability to create significant outcomes for older people and their communities.

{"title":"Validating the age-friendly cities and communities questionnaire in Australia: Revealing five distinct groups of older people in Greater Adelaide","authors":"Romy Wasserman , Helen Barrie , Jeroen Dikken , Joost van Hoof , Veronica Soebarto","doi":"10.1016/j.habitatint.2024.103278","DOIUrl":"10.1016/j.habitatint.2024.103278","url":null,"abstract":"<div><div>To date, a range of qualitative and mixed-methods approaches have been applied to assess the age-friendliness of cities and communities. The Age-Friendly Cities and Communities Questionnaire (AFCCQ) has been developed to fill a gap for a systematic quantitative method approach to evaluate baseline age-friendliness in cities and communities and then measure ongoing efforts to become more age-friendly, aligned with the model by the World Health Organization (WHO). As such, it offers a valid and valuable quantitative method for cities to assess age-friendliness.</div><div>This paper presents the process and results of a study undertaken to test the validity and reliability of the AFCCQ for the Australian context. It is part of a broader cross-cultural project seeking to test the AFCCQ across Europe, Asia, Oceania, and North America to generate methodological insight and comparable data. Informed by consultation with local experts in population and ageing research, as well as with people aged 65 and over, the instrument proved reliable in the Australian context before being distributed to 334 older people in Greater Adelaide for validation.</div><div>Results show that the AFCCQ-AU proved a valid and reliable tool for evaluating the age-friendliness of larger cities and communities in Australia. Overall, the total score indicated moderate-good satisfaction with the age-friendliness features of the Greater Adelaide Region with the domain of Housing scoring highest (highly satisfactory). Psychometric validation and cluster analysis led to the identification of five typologies of older people living in Greater Adelaide, characterised by distinct socio-demographic profiles and concomitant experiences and evaluations of age-friendliness.</div><div>This Australian validation adds further weight to the role of the AFCCQ in being able to assess the age-friendliness of cities and communities across the WHO's Global Network for Age-Friendly Cities and Communities. Used in combination with the rich and nuanced qualitative data at the local level, the tool has the ability to create significant outcomes for older people and their communities.</div></div>","PeriodicalId":48376,"journal":{"name":"Habitat International","volume":"156 ","pages":"Article 103278"},"PeriodicalIF":6.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143138325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Understanding the spatial distribution patterns and dominant determinants of farmland abandonment in China

IF 6.5 1区经济学 Q1 DEVELOPMENT STUDIES

Habitat International

Pub Date : 2025-02-01 DOI: 10.1016/j.habitatint.2025.103298

Hengfei Song , Xiubin Li , Fuyao Zhang , Pengcheng Gu , Yuchen Chen , Haiping Wu , Lixuan Xin , Yahan Lu , Yunxi Liu , Xue Wang

Amidst escalating food demand, farmland abandonment poses a new challenge to food security. However, an insufficient understanding of the pattern and its dominant determinants are major obstacles to effective policymaking. To address the gap, this study established a theoretical framework for analyzing farmland abandonment, and employing a quantile regression model for empirical analysis. Data were drawn from two national land surveys to reveal the spatial distribution pattern and dominant determinants of farmland abandonment. The findings indicated that farmland abandonment ratio in China from 2009 to 2019 was 4.07% (5.19 Mha), with higher values observed in dry farmlands, sloping farmlands, and farmlands with high slopes. Spatially, farmland abandonment was more prevalent in hilly and mountainous areas as well as in non-major grain-producing areas at regional level. Additionally, farmland abandonment primarily occurs in the northwestern and southeastern coastal areas at the county level. In the northwestern agro-pastoral transition zones and southeastern mountainous and hilly regions, there are significant banded and banded-aggregation distribution patterns. Moreover, cultivation conditions and socioeconomic factors significantly affect farmland abandonment. As farmland abandonment increased, the influence of the former increased gradually. Conversely, in areas with severe farmland abandonment, the influence of the latter was weakened further. To strengthen management of farmland abandonment, the relevant policy initiatives should focus on advancing smart agriculture, enhancing farmland infrastructure, innovating machinery and equipment, expanding the agricultural industry chain, and refining the land lease market to reduce cultivation costs and enhance farmland output.

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引用次数: 0

Social networks matter for villagers’ withdrawal from rural homesteads: An empirical analysis of sichuan in western China

IF 6.5 1区经济学 Q1 DEVELOPMENT STUDIES

Habitat International

Pub Date : 2025-02-01 DOI: 10.1016/j.habitatint.2025.103305

Peng Tang , Linyi Tan , Jinlong Gao , Min Li , Shasha Zhang

Withdrawal from rural homesteads (WRH) holds substantial significance for improving the habitat of villagers and revitalizing the countryside in China. However, the existing research tradition, which often neglect the endogenous features of rural society, largely constrains the full understanding of WRH. The specific mechanisms and pathways through which various networks embedded within rural societies shape the final decisions of villagers remain inadequately explored and lack conceptualization. To bridge this gap, this paper attempts to provide a brief glimpse of the fashions that different networks affect villagers' behavior in response to WRH. Drawing on 299 survey samples collected from four pilot areas for the rural homestead reform in Sichuan Province, we investigate both the direct impact of social networks and the mediating effect of social supports on villagers' WRH decisions. The results of the binary logit model indicate that villagers with more extensive social networks are more likely to withdraw from their homesteads (p < 0.01). Notably, family ties emerge as a dominant factor (OR = 42.156) in influencing villagers' WRH decisions. Furthermore, through a stepwise regression model, we uncover that social networks work exert their influence via the mediating role of social supports. By quantifying the link between villagers’ social networks and their WRH decisions, we conclude that taking into account the endogenous characteristics of the rural society can contribute to the all-round revitalization of the rural in China.

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引用次数: 0

Evaluating human-nature relationships at a grid scale in China, 2000–2020

IF 6.5 1区经济学 Q1 DEVELOPMENT STUDIES

Habitat International

Pub Date : 2025-02-01 DOI: 10.1016/j.habitatint.2024.103282

Haimeng Liu , Jiayi Lu , Xuecao Li , Yuanchen Wang , Dong Xu , Junfeng Yin , Gang Xu

Understanding the complex relationships between humans and nature is crucial for achieving global sustainability and enhancing human welfare. China, with its vast population, stark human-nature contradictions, and considerable regional disparities, currently lacks grid-scale research methodologies and practices. We utilized the Human Footprint (HF) and Ecosystem Quality Index (EQI) as proxies for human-nature interactions. Employing the Sen + MK trend test, we analyzed their spatiotemporal dynamics across China on a 1 km² grid from 2000 to 2020. Using an improved four-quadrant diagram, we quantified human-nature relationships. Our findings reveal a trend toward greater coordination between humans and nature across China from 2000 to 2020, with areas of coordination outnumbering conflict zones by a factor of 2.4. Conflict predominantly occurred in the North China Plain and urban agglomerations. In most cities, the human-nature relationship exhibited a distinct concentric pattern: over 75% of old urban areas showed no significant change, while 80% of new urban areas experienced conflict. In nature reserves, human-nature relationships generally tended toward coordination, suggesting that conservation efforts have been largely effective. While increased human activity has generally supported ecosystem restoration and improvement at the national scale, rising HF in conflict areas has still significantly reduced the EQI. The implementation of government-led ecological projects in China has positively impacted human-nature relationships. However, urban land expansion remains a key factor contributing to human-nature conflicts. The methodology provides a valuable framework for assessing human-nature coordination across different scales and regions, facilitating dynamic regulation of ecological protection and grid-based management of the human settlement environment.

{"title":"Evaluating human-nature relationships at a grid scale in China, 2000–2020","authors":"Haimeng Liu , Jiayi Lu , Xuecao Li , Yuanchen Wang , Dong Xu , Junfeng Yin , Gang Xu","doi":"10.1016/j.habitatint.2024.103282","DOIUrl":"10.1016/j.habitatint.2024.103282","url":null,"abstract":"<div><div>Understanding the complex relationships between humans and nature is crucial for achieving global sustainability and enhancing human welfare. China, with its vast population, stark human-nature contradictions, and considerable regional disparities, currently lacks grid-scale research methodologies and practices. We utilized the Human Footprint (HF) and Ecosystem Quality Index (EQI) as proxies for human-nature interactions. Employing the Sen + MK trend test, we analyzed their spatiotemporal dynamics across China on a 1 km<sup>2</sup> grid from 2000 to 2020. Using an improved four-quadrant diagram, we quantified human-nature relationships. Our findings reveal a trend toward greater coordination between humans and nature across China from 2000 to 2020, with areas of coordination outnumbering conflict zones by a factor of 2.4. Conflict predominantly occurred in the North China Plain and urban agglomerations. In most cities, the human-nature relationship exhibited a distinct concentric pattern: over 75% of old urban areas showed no significant change, while 80% of new urban areas experienced conflict. In nature reserves, human-nature relationships generally tended toward coordination, suggesting that conservation efforts have been largely effective. While increased human activity has generally supported ecosystem restoration and improvement at the national scale, rising HF in conflict areas has still significantly reduced the EQI. The implementation of government-led ecological projects in China has positively impacted human-nature relationships. However, urban land expansion remains a key factor contributing to human-nature conflicts. The methodology provides a valuable framework for assessing human-nature coordination across different scales and regions, facilitating dynamic regulation of ecological protection and grid-based management of the human settlement environment.</div></div>","PeriodicalId":48376,"journal":{"name":"Habitat International","volume":"156 ","pages":"Article 103282"},"PeriodicalIF":6.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143138465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Land hoarding and investment strategies of enterprises under land price regulation: Evidence from bunching analysis

IF 6.5 1区经济学 Q1 DEVELOPMENT STUDIES

Habitat International

Pub Date : 2025-02-01 DOI: 10.1016/j.habitatint.2025.103301

Jiangmeng Zhao , Jian Cheng , Wen-Chi Liao

Price control over factor inputs affects economic efficiency. We introduce a new perspective—bunching estimation with reference-dependent preferences—into examining land price regulation to understand corporate economic behaviors under policy shocks. Since 2007, China has set the minimum prices for industrial lands to prevent local governments from underpricing state-owned land. Consequently, 43% of land parcels experienced price increases and were sold above their price floors. Corporate land purchase/investment behaviors changed in both normal-pricing and underpricing situations. With price floors being reference points, concessional underpricing tempted enterprises into land hoarding and overinvestment. Heterogeneous impacts existed across space, time, and firm entities. Private firms reacted more strongly than state-owned enterprises. Inland exhibited a greater policy reaction than the coast. The reaction was more pronounced in earlier years of policy implementation. These findings have profound policy implications and external validity for emerging countries leveraging land resources for economic development. Even if the price control is not binding, it may still signal a reference point that could create a subtle, multifaceted distortion of corporate behaviors. Land hoarding and overinvestment, which could add risk and crowd out resources, are among the caveats of China's industrial price regulation. Policymakers should exercise caution in market regulations to avoid unintended consequences and support resilient urban development.

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引用次数: 0

Impacts of “One Household One Plot” and “One Village Group One Plot” fragmentation consolidation models on cultivated land use transition from perspective of human-land system

IF 6.5 1区经济学 Q1 DEVELOPMENT STUDIES

Habitat International

Pub Date : 2025-02-01 DOI: 10.1016/j.habitatint.2024.103252

Wenhao Niu , Lan Luo , Yu Shi , Chaoqing Chai , Haoyang Wang , Qi Tian , Yaya Jin , Xiangbin Kong , Qiang Yu , Lisuo Ren , Bangbang Zhang

Land fragmentation poses a great challenge for food security to all countries around the world, especially China. Land consolidation (LC) is an effective measure to solve the fragmentation problem and achieve the cultivated land use transition (CLUT), and thus LC has become an important means to ensure food security in China. From the perspective of human-land system, this study investigated the impacts of different LC projects on the CLUT, including spatial transition, management transition, element transition, and function transition. Based on survey data of 427 farmer households from Yuyang District in Shaanxi province, China, this study estimated the net effect of “One Household One Plot” (OHOP) model and “One Village Group One Plot” (OVGOP) model on CLUT by the propensity score matching-difference in differences (PSM-DID) method. In addition, the interactive mechanism of elements of CLUT under the LC was revealed through the interpretive structural modeling (ISM). The results indicated that the LC had significant effect on CLUT, and that the OVGOP model had a better promoting effect on CLUT than OHOP model. Additionally, an ISM-based structural model containing eighteen elements revealed that CLUT was a complex interaction process among multiple elements. Meanwhile, cultivated land area and plot number were identified as the fundamental elements in CLUT. This study proposes relevant policy recommendations, which provides China's experience for other developing countries to formulate LC strategies.

{"title":"Impacts of “One Household One Plot” and “One Village Group One Plot” fragmentation consolidation models on cultivated land use transition from perspective of human-land system","authors":"Wenhao Niu , Lan Luo , Yu Shi , Chaoqing Chai , Haoyang Wang , Qi Tian , Yaya Jin , Xiangbin Kong , Qiang Yu , Lisuo Ren , Bangbang Zhang","doi":"10.1016/j.habitatint.2024.103252","DOIUrl":"10.1016/j.habitatint.2024.103252","url":null,"abstract":"<div><div>Land fragmentation poses a great challenge for food security to all countries around the world, especially China. Land consolidation (LC) is an effective measure to solve the fragmentation problem and achieve the cultivated land use transition (CLUT), and thus LC has become an important means to ensure food security in China. From the perspective of human-land system, this study investigated the impacts of different LC projects on the CLUT, including spatial transition, management transition, element transition, and function transition. Based on survey data of 427 farmer households from Yuyang District in Shaanxi province, China, this study estimated the net effect of “One Household One Plot” (OHOP) model and “One Village Group One Plot” (OVGOP) model on CLUT by the propensity score matching-difference in differences (PSM-DID) method. In addition, the interactive mechanism of elements of CLUT under the LC was revealed through the interpretive structural modeling (ISM). The results indicated that the LC had significant effect on CLUT, and that the OVGOP model had a better promoting effect on CLUT than OHOP model. Additionally, an ISM-based structural model containing eighteen elements revealed that CLUT was a complex interaction process among multiple elements. Meanwhile, cultivated land area and plot number were identified as the fundamental elements in CLUT. This study proposes relevant policy recommendations, which provides China's experience for other developing countries to formulate LC strategies.</div></div>","PeriodicalId":48376,"journal":{"name":"Habitat International","volume":"156 ","pages":"Article 103252"},"PeriodicalIF":6.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143137728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Unveiling patterns and drivers of long-term rural settlement changes from the urban-rural gradient perspective: A case study of the Beijing-Tianjin-Hebei region in China

IF 6.5 1区经济学 Q1 DEVELOPMENT STUDIES

Habitat International

Pub Date : 2025-02-01 DOI: 10.1016/j.habitatint.2025.103300

Linpeng Yang , Cong Ou , Zhao Wang , Zhenrong Du , Xiaochuang Yao , Zhenbo Du

Rural settlements (RUS) serve as spatial carriers for both residential and industrial activities in rural regions, reflecting the regional cultural and productive paradigms of rural communities. These settlements are undergoing substantial transformations driven by rapid urbanization, yet the patterns of evolution and underlying driving mechanisms of RUS remain unclear. In this study, we utilized 30-m resolution RUS data from 1990 to 2020 to investigate the morphological evolution of settlements in the Beijing-Tianjin-Hebei (BTH) region across regional, county, and urban-rural gradients. The impact of urbanization on RUS morphology was assessed using landscape pattern indices and structural equation modeling (SEM). Our results showed that the number of RUS increased by 1308 and the area expanded by 2559.9 km², representing growths of 2.76% and 19.66%, respectively. RUS in the vicinity of Beijing and Tianjin exhibited a higher rate of morphological change, highlighting the significant influence of location on settlement evolution. A comparative analysis across urban-rural gradients indicated that RUS near urban center have experienced an increase in average size, accompanied by a decline in total size and number. This evolution has led to a shift toward more complex morphology and a more concentrated distribution. Cross-validation of the SEM across various sample sizes confirmed its reliability, demonstrating that urbanization's direct impact on RUS morphology is generally negative and insignificant, while its indirect effects through socio-economic, environmental, and infrastructural mediators are positive. This study provides valuable insights into the evolutionary characteristics of RUS across urban-rural gradients and clarifies the mechanisms through which urbanization shapes their morphological evolution, contributing to our understanding of rural transformation under rapid urbanization.

{"title":"Unveiling patterns and drivers of long-term rural settlement changes from the urban-rural gradient perspective: A case study of the Beijing-Tianjin-Hebei region in China","authors":"Linpeng Yang , Cong Ou , Zhao Wang , Zhenrong Du , Xiaochuang Yao , Zhenbo Du","doi":"10.1016/j.habitatint.2025.103300","DOIUrl":"10.1016/j.habitatint.2025.103300","url":null,"abstract":"<div><div>Rural settlements (RUS) serve as spatial carriers for both residential and industrial activities in rural regions, reflecting the regional cultural and productive paradigms of rural communities. These settlements are undergoing substantial transformations driven by rapid urbanization, yet the patterns of evolution and underlying driving mechanisms of RUS remain unclear. In this study, we utilized 30-m resolution RUS data from 1990 to 2020 to investigate the morphological evolution of settlements in the Beijing-Tianjin-Hebei (BTH) region across regional, county, and urban-rural gradients. The impact of urbanization on RUS morphology was assessed using landscape pattern indices and structural equation modeling (SEM). Our results showed that the number of RUS increased by 1308 and the area expanded by 2559.9 km<sup>2</sup>, representing growths of 2.76% and 19.66%, respectively. RUS in the vicinity of Beijing and Tianjin exhibited a higher rate of morphological change, highlighting the significant influence of location on settlement evolution. A comparative analysis across urban-rural gradients indicated that RUS near urban center have experienced an increase in average size, accompanied by a decline in total size and number. This evolution has led to a shift toward more complex morphology and a more concentrated distribution. Cross-validation of the SEM across various sample sizes confirmed its reliability, demonstrating that urbanization's direct impact on RUS morphology is generally negative and insignificant, while its indirect effects through socio-economic, environmental, and infrastructural mediators are positive. This study provides valuable insights into the evolutionary characteristics of RUS across urban-rural gradients and clarifies the mechanisms through which urbanization shapes their morphological evolution, contributing to our understanding of rural transformation under rapid urbanization.</div></div>","PeriodicalId":48376,"journal":{"name":"Habitat International","volume":"156 ","pages":"Article 103300"},"PeriodicalIF":6.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143137809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multiscale territorial spatial conflict evolution and driving mechanism in China's land border

IF 6.5 1区经济学 Q1 DEVELOPMENT STUDIES

Habitat International

Pub Date : 2025-02-01 DOI: 10.1016/j.habitatint.2025.103302

Pengcheng Wang , Liguo Zhang , Rucheng Lu , Lin Zhong

The precise identification of territorial spatial conflict (TSC) and the research on its driving mechanism are key approaches to deepen the frontier exploration of geography, also enhance spatial security control. Based on existing spatial conflict measurement methods, this paper incorporates the spatial capacity index, representing socio-economic-environmental factors, to construct a TSC measurement optimization model of “Complexity-Fragility-Stability-Capacity”. Additionally, the explanation rate of spatial conflict is proposed to verify the rationality of the measurement results of TSC. The Intensity Map model, spatial econometric model and optimal parameters-based geographical detector are employed to reveal the evolutionary trend and driving mechanism of TSC in China's land border. Finally, the regulation pathways of TSC in border regions are put forward. The results indicated that (1) From 2000 to 2020, the spatial pattern of China's land border was dominated by green ecological space, with a rapid increase in urban living space, a relatively slow growth in agricultural production space, and an intensified contraction of green ecological space. (2) The evolution of TSC in China's land border was significant, showing a strengthening trend and a continuous increase. Border spatial conflicts exhibit a trend of transitioning from low conflicts to higher conflicts. (3) The evolution of TSC in China's land border is the result of the interactive influence of multiple factors, leading to transformations, structural reorganizations, and directional changes in territorial space utilization. Therefore, establishing a “comprehensive coordination, full-line management” mechanism for border territorial spatial supervision is a crucial measure to optimize the sustainable development pattern of border regions and alleviate the conflicts.

{"title":"Multiscale territorial spatial conflict evolution and driving mechanism in China's land border","authors":"Pengcheng Wang , Liguo Zhang , Rucheng Lu , Lin Zhong","doi":"10.1016/j.habitatint.2025.103302","DOIUrl":"10.1016/j.habitatint.2025.103302","url":null,"abstract":"<div><div>The precise identification of territorial spatial conflict (TSC) and the research on its driving mechanism are key approaches to deepen the frontier exploration of geography, also enhance spatial security control. Based on existing spatial conflict measurement methods, this paper incorporates the spatial capacity index, representing socio-economic-environmental factors, to construct a TSC measurement optimization model of “Complexity-Fragility-Stability-Capacity”. Additionally, the explanation rate of spatial conflict is proposed to verify the rationality of the measurement results of TSC. The Intensity Map model, spatial econometric model and optimal parameters-based geographical detector are employed to reveal the evolutionary trend and driving mechanism of TSC in China's land border. Finally, the regulation pathways of TSC in border regions are put forward. The results indicated that (1) From 2000 to 2020, the spatial pattern of China's land border was dominated by green ecological space, with a rapid increase in urban living space, a relatively slow growth in agricultural production space, and an intensified contraction of green ecological space. (2) The evolution of TSC in China's land border was significant, showing a strengthening trend and a continuous increase. Border spatial conflicts exhibit a trend of transitioning from low conflicts to higher conflicts. (3) The evolution of TSC in China's land border is the result of the interactive influence of multiple factors, leading to transformations, structural reorganizations, and directional changes in territorial space utilization. Therefore, establishing a “comprehensive coordination, full-line management” mechanism for border territorial spatial supervision is a crucial measure to optimize the sustainable development pattern of border regions and alleviate the conflicts.</div></div>","PeriodicalId":48376,"journal":{"name":"Habitat International","volume":"156 ","pages":"Article 103302"},"PeriodicalIF":6.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143138328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Residents’ seasonal behavior patterns and spatial preferences in public open spaces of severely cold regions: Evidence from Harbin, China

IF 6.5 1区经济学 Q1 DEVELOPMENT STUDIES

Habitat International

Pub Date : 2025-02-01 DOI: 10.1016/j.habitatint.2024.103279

Shuai Liang , Hong Leng

In severely cold regions with distinct seasons, understanding the dynamic behavior patterns can provide a year-round reference for urban issues such as spatial vitality assessment, quality optimization, and promotion of public health. However, traditional methods for identifying typical behavior patterns from irregular or mixed behaviors are laborious and difficult to accurately determine the proportion of specific behaviors and their spatial preferences. Therefore, a computer vision technology-based system was developed to reveal the typical behavior patterns and their dynamic change in cold regions seasonally. Firstly, we collected behavioral data by conducting longitudinal video observations of a residential square in Harbin, and extracted trajectories of each season. Then, hierarchical clustering of trajectories was performed by calculating the similarity between trajectory pairs in each season. Afterwards, geographically weighted regression analysis was used to explore the spatial preference characteristics of different behavioral patterns. The results showed that there were five specific behavior patterns, and the overall accuracy of the behavior pattern extraction system could reach 87.5%. The functional characteristics of the square changed slightly in different seasons. In spring and autumn, optional activities or social activities account for 96%, while in winter and summer they account for 80% and 67% respectively. Additionally, specific behaviors exhibit seasonal distribution characteristics, and the impact of sky view factors (SVF), facilities, greenery, and shading on behavioral patterns varies seasonally. These findings, we hope could facilitate urban designers and planners to explore behavior-specific fine-grained information at the micro-scale for building all-season-friendly cold cities.

{"title":"Residents’ seasonal behavior patterns and spatial preferences in public open spaces of severely cold regions: Evidence from Harbin, China","authors":"Shuai Liang , Hong Leng","doi":"10.1016/j.habitatint.2024.103279","DOIUrl":"10.1016/j.habitatint.2024.103279","url":null,"abstract":"<div><div>In severely cold regions with distinct seasons, understanding the dynamic behavior patterns can provide a year-round reference for urban issues such as spatial vitality assessment, quality optimization, and promotion of public health. However, traditional methods for identifying typical behavior patterns from irregular or mixed behaviors are laborious and difficult to accurately determine the proportion of specific behaviors and their spatial preferences. Therefore, a computer vision technology-based system was developed to reveal the typical behavior patterns and their dynamic change in cold regions seasonally. Firstly, we collected behavioral data by conducting longitudinal video observations of a residential square in Harbin, and extracted trajectories of each season. Then, hierarchical clustering of trajectories was performed by calculating the similarity between trajectory pairs in each season. Afterwards, geographically weighted regression analysis was used to explore the spatial preference characteristics of different behavioral patterns. The results showed that there were five specific behavior patterns, and the overall accuracy of the behavior pattern extraction system could reach 87.5%. The functional characteristics of the square changed slightly in different seasons. In spring and autumn, optional activities or social activities account for 96%, while in winter and summer they account for 80% and 67% respectively. Additionally, specific behaviors exhibit seasonal distribution characteristics, and the impact of sky view factors (SVF), facilities, greenery, and shading on behavioral patterns varies seasonally. These findings, we hope could facilitate urban designers and planners to explore behavior-specific fine-grained information at the micro-scale for building all-season-friendly cold cities.</div></div>","PeriodicalId":48376,"journal":{"name":"Habitat International","volume":"156 ","pages":"Article 103279"},"PeriodicalIF":6.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143137752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0