Habitat International最新文献_第8页

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.

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引用次数: 0

Toward 3D hedonic price model for vertically developed cities using street view images and machine learning methods

IF 6.5 1区经济学 Q1 DEVELOPMENT STUDIES

Habitat International

Pub Date : 2025-02-01 DOI: 10.1016/j.habitatint.2025.103288

Yue Ying, Shaoqing Dai, Mila Koeva, Monika Kuffer, Claudio Persello, Wen Zhou, Jaap Zevenbergen

The vertical developments in cities reshape the urban form and structure, and the influences on human liveability can be reflected by the variations in property values. The hedonic price model (HPM) is commonly employed in city-scale property valuation to unravel the hedonic values of different influential variables. In vertically developed cities, it necessitates the exploration of the hedonic value in the vertical dimension (3D), which was previously under-researched due to limited 3D data and the complexity of processing techniques. Recent studies use eye-level street view images (SVIs) for valuation, but the 3D perspective is still missing. This study proposes a novel 3D property valuation method using SVIs acquired from two angles, eye-level (pitch 0°) and sky-view (pitch 90°, upwards), and machine learning method to complete the 3D perspective and provide explainability of 3D HPM. We also compared different valuation models – namely Ordinary Least Square (OLS), Geographically Weighted Regression (GWR), and Random Forest (RF) – using model performance metrics. Our main findings include: 1) 3D variables are statistically significant, and adding them improves the model performance (R² from 0.580 to 0.636 in GWR); 2) In the sky-view angle, the proportion of sky has a positive correlation while the presence of buildings and trees are negatively correlated with property values; 3) RF outperforms OLS and GWR with the highest R² (0.768) and the least RMSE (1669.60 yuan/m²), which demonstrates its robust explainability and applicability for valuation. This study enriches the property valuation literature on the significance of the 3D variables and provides references to guide fair taxation and equal land use policy in vertically developed cities.

{"title":"Toward 3D hedonic price model for vertically developed cities using street view images and machine learning methods","authors":"Yue Ying, Shaoqing Dai, Mila Koeva, Monika Kuffer, Claudio Persello, Wen Zhou, Jaap Zevenbergen","doi":"10.1016/j.habitatint.2025.103288","DOIUrl":"10.1016/j.habitatint.2025.103288","url":null,"abstract":"<div><div>The vertical developments in cities reshape the urban form and structure, and the influences on human liveability can be reflected by the variations in property values. The hedonic price model (HPM) is commonly employed in city-scale property valuation to unravel the hedonic values of different influential variables. In vertically developed cities, it necessitates the exploration of the hedonic value in the vertical dimension (3D), which was previously under-researched due to limited 3D data and the complexity of processing techniques. Recent studies use eye-level street view images (SVIs) for valuation, but the 3D perspective is still missing. This study proposes a novel 3D property valuation method using SVIs acquired from two angles, eye-level (pitch 0°) and sky-view (pitch 90°, upwards), and machine learning method to complete the 3D perspective and provide explainability of 3D HPM. We also compared different valuation models – namely Ordinary Least Square (OLS), Geographically Weighted Regression (GWR), and Random Forest (RF) – using model performance metrics. Our main findings include: 1) 3D variables are statistically significant, and adding them improves the model performance (R<sup>2</sup> from 0.580 to 0.636 in GWR); 2) In the sky-view angle, the proportion of sky has a positive correlation while the presence of buildings and trees are negatively correlated with property values; 3) RF outperforms OLS and GWR with the highest R<sup>2</sup> (0.768) and the least RMSE (1669.60 yuan/m<sup>2</sup>), which demonstrates its robust explainability and applicability for valuation. This study enriches the property valuation literature on the significance of the 3D variables and provides references to guide fair taxation and equal land use policy in vertically developed cities.</div></div>","PeriodicalId":48376,"journal":{"name":"Habitat International","volume":"156 ","pages":"Article 103288"},"PeriodicalIF":6.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143138335","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

Asian heat stress variations in a changing climate: Implications for disproportionate urban and rural population exposure

IF 6.5 1区经济学 Q1 DEVELOPMENT STUDIES

Habitat International

Pub Date : 2025-02-01 DOI: 10.1016/j.habitatint.2025.103294

Pir Mohammad , Qihao Weng

The changing climate has intensified the occurrence of extreme heat events, posing a huge challenge for sustainable development and necessitating the implementation of suitable measures to address these issues. Large scale disparities in heat stress over the selected geographic and climatic regions of Asia and the different urban-rural population exposure to heat stress under different climate change scenarios is not well understood. Here, using long-term modelled data in both historical (1990–2014) and four future (2026–2100) SSP (shared socioeconomic pathway) scenarios, we evaluated the heat stress variability across time and space in different geographic stetting of Asia and mapped the heat stress population exposure for urban and rural region separately. We found a pervasive disparity in heat stress magnitude and trend over different regions of Asia and a noteworthy escalation of heat stress in future SSPs scenarios, with a more profound effect under the SSP5-8.5 and SSP3-7.0. Moreover, a substantial increase in population exposure to heat stress is evident in both urban and rural contexts, with large inequalities in urban and rural population exposure in Eastern China. Our results provide a quantitative estimate of the heat stress and its urban-rural population exposure, which will provide valuable insights for authorities and policymakers, highlighting the importance of the need for sustained emergency investment on a priority basis for most vulnerable populations in future heat wave occurrence.

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引用次数: 0

Examining carbon emissions from household consumption and inequality in Guangdong based on micro-survey data

IF 6.5 1区经济学 Q1 DEVELOPMENT STUDIES

Habitat International

Pub Date : 2025-02-01 DOI: 10.1016/j.habitatint.2024.103275

Jiabei Zhou, Shaojian Wang

Achieving the “dual-carbon goals” is crucial to China's “ecological civilization construction” policy. Household carbon emissions are rapidly increasing and are expected to approach or even exceed industrial production, becoming the primary driver of carbon emission growth. However, current emission reduction measures mainly focus on industrial production and transportation, neglecting the growing impact of household consumption carbon emissions. In this study, we innovatively use the micro-level China Family Panel Studies (CFPS) database to conduct a bottom-up analysis of Guangdong's household carbon emissions (HHCE) from 2012 to 2020, categorized by urban and rural areas and by consumption types. We also utilize the comprehensive Dagum Gini coefficient to reflect carbon inequality across different categories within and between urban and rural areas. Our findings reveal that HHCE has been steadily increasing, with indirect HHCE accounting for over 95%, higher in urban areas than in rural ones. HHCE has gradually shifted from subsistence to enjoyment consumption, yet “residence” and “food” remain major contributors to indirect HHCE. While the structure of HHCE in urban and rural areas is similar, the growth rate is much higher in rural areas. High Gini coefficients across categories indicate significant carbon emission inequality in Guangdong, with disparities within urban and rural areas being much higher than between them, and inequality higher in rural areas than in urban ones.

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引用次数: 0

Evaluating the symbiotic interface for city-lake synergy: Evidence from Kunming city and Dianchi Lake in Southwest China (1990–2020)

IF 6.5 1区经济学 Q1 DEVELOPMENT STUDIES

Habitat International

Pub Date : 2025-02-01 DOI: 10.1016/j.habitatint.2025.103303

Yanmei Zhou , Jun Qi , Ruotong Tang , Chunlan Du

Investigating the city-lake nexus offers a scientific framework for the development of spatial optimization strategies. To foster a harmonious and aesthetically pleasing urban China where human-water coexistence thrives, the advancement of an integrated development paradigm encompassing land use efficiency, habitat quality, and environmental conservation has become central to spatial planning and management at the city-lake interface. Prior research has predominantly focused on governance strategies predicated on the overarching relationship between urban areas and lakes. Nonetheless, the absence of precise spatial delineation at the interface has resulted in these strategies being inadequate for fostering synergistic city-lake development. Dianchi is the largest urban lake on the Yunnan-Guizhou Plateau, and its management has long received attention at China's national level. This study employs spatial raster data to develop assessment indicators for city-lake development dynamics and to quantify the coupling coordination degree of the city-lake relationship at the symbiotic interface, examining the spatial and temporal evolution over the period from 1990 to 2020. By integrating the historical urban expansion of Kunming with Dianchi Lake's pollution control efforts, we propose a sustainable symbiosis strategy aimed at fostering synergistic city-lake development, with the overarching goal of improving urban sustainability within the context of plateau lake conservation.

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引用次数: 0

Valuing the effect of Capital goes to countryside on cropland abandonment: Evidence from rural China

IF 6.5 1区经济学 Q1 DEVELOPMENT STUDIES

Habitat International

Pub Date : 2025-02-01 DOI: 10.1016/j.habitatint.2025.103299

Mengmeng Chen , Qing Han , Cheng Zhang , Jingshuai Chen

Capital goes to countryside (CGTC) promotes the upgrading of rural industries, but has the possibility of exacerbating the cropland abandonment by farmers, which in turn affects food security. However, the effect and its mechanisms between CGTC and cropland abandonment are not clear. We use the three-year unbalanced panel data on 16,634 rural households in 27 Chinese provinces to empirically analyze the relationship between CGTC and cropland abandonment. The result shows that the CGTC can reduce cropland abandonment by 10.1%. Specifically, the capital engages in agricultural production(CEAP), capital engages in agricultural productive services(CEAPS), and capital engages in industry and commerce(CEIC) can significantly curb cropland abandonment by 5.8%, 10.0%, and 6.3%, respectively. These impact mechanisms are realized by promoting agricultural land transferred out, enhancing agricultural mechanization, and increasing part-time employment in rural household. Additionally, the CGTC's inhibition effects on cropland abandonment are more addressed in the region characterized by major food-producing region, plain-type, better collective supervision, and household of higher agricultural income share. These findings provide novel path for policymakers to utilize cultivated land efficiently and ensure food security by attracting various CGTC.

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引用次数: 0

Intensifying separation or collaborative prosperity? The impact of The Belt and Road Initiative on China's urban-rural integration development from a spatial justice lens

IF 6.5 1区经济学 Q1 DEVELOPMENT STUDIES

Habitat International

Pub Date : 2025-02-01 DOI: 10.1016/j.habitatint.2024.103249

Min Zhou, Hongyu Lyu

The urban-rural relationship fundamentally represents a spatial allocation of elements. It is crucial to dismantle barriers to factor mobility to achieve urban-rural integration development (URID) for alleviating the "urban disease" or “country disease”, and fostering the equivalent development in living spaces between urban and rural residents. The Belt and Road Initiative (BRI), with principles of openness, inclusiveness, cooperation and sharing, has unimpeded the spatial flow of international factors and enhanced global communications and cooperation. Then, can BRI promote URID in cities along the routes? This article considers BRI as a quasi-natural experiment, employs the difference-in-difference model based on the panel data of 281 cities in China from 2011 to 2021, and empirically investigates the influence and mechanism of BRI on URID from the spatial justice lens. The results reveal that: (1) URID level in China represented an upward trend with distinct differences at the city level. (2) BRI significantly enhances URID of cities along the routes with an average increase of 0.69%, and the result is still valid after a series of robustness tests. (3) The impact of BRI on URID exhibited obvious heterogeneity, having a more significant impact on eastern and central cities, cities along both “The Belt” and “The Road”, medium-sized cities and large-sized cities. (4) Mechanism analysis indicates that BRI enhances URID through advancing opening up level, industrial upgrading and digital economy development in cities along the routes. (5) Further analysis reveals distinct positive spatial autocorrelations in URID, with BRI exerting significant positive spatial spillover effects on URID.

{"title":"Intensifying separation or collaborative prosperity? The impact of The Belt and Road Initiative on China's urban-rural integration development from a spatial justice lens","authors":"Min Zhou, Hongyu Lyu","doi":"10.1016/j.habitatint.2024.103249","DOIUrl":"10.1016/j.habitatint.2024.103249","url":null,"abstract":"<div><div>The urban-rural relationship fundamentally represents a spatial allocation of elements. It is crucial to dismantle barriers to factor mobility to achieve urban-rural integration development (<em>URID</em>) for alleviating the \"urban disease\" or “country disease”, and fostering the equivalent development in living spaces between urban and rural residents. The Belt and Road Initiative (<em>BRI</em>), with principles of openness, inclusiveness, cooperation and sharing, has unimpeded the spatial flow of international factors and enhanced global communications and cooperation. Then, can <em>BRI</em> promote <em>URID</em> in cities along the routes? This article considers <em>BRI</em> as a quasi-natural experiment, employs the difference-in-difference model based on the panel data of 281 cities in China from 2011 to 2021, and empirically investigates the influence and mechanism of <em>BRI</em> on <em>URID</em> from the spatial justice lens. The results reveal that: (1) <em>URID</em> level in China represented an upward trend with distinct differences at the city level. (2) <em>BRI</em> significantly enhances <em>URID</em> of cities along the routes with an average increase of 0.69%, and the result is still valid after a series of robustness tests. (3) The impact of <em>BRI</em> on <em>URID</em> exhibited obvious heterogeneity, having a more significant impact on eastern and central cities, cities along both “The Belt” and “The Road”, medium-sized cities and large-sized cities. (4) Mechanism analysis indicates that <em>BRI</em> enhances <em>URID</em> through advancing opening up level, industrial upgrading and digital economy development in cities along the routes. (5) Further analysis reveals distinct positive spatial autocorrelations in <em>URID</em>, with <em>BRI</em> exerting significant positive spatial spillover effects on <em>URID</em>.</div></div>","PeriodicalId":48376,"journal":{"name":"Habitat International","volume":"156 ","pages":"Article 103249"},"PeriodicalIF":6.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143137749","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

Evolution of accessibility to work for low-income populations in Brazil: Towards equitable and sustainable metropolises?

IF 6.5 1区经济学 Q1 DEVELOPMENT STUDIES

Habitat International

Pub Date : 2025-02-01 DOI: 10.1016/j.habitatint.2025.103306

Isabela Ribeiro de Castro , Carlos Felipe Grangeiro Loureiro , Mariana Abrantes Giannotti

This research addresses accessibility inequalities within the context of a major Latin American metropolis, using a longitudinal analysis focused on the low-income population. Emphasizing the paradigm of sustainable accessibility planning, the study examines the evolution of job accessibility over two 15-year-apart timeframes in Fortaleza, the 4th most populous Brazilian city. The findings reveal persistent spatial mismatch and unsustainable changes in land-use patterns, highlighting ongoing challenges for low-income vulnerable groups. Despite overall improvements in accessibility, inequality patterns endure, particularly affecting those relying on public transport. The study underscores the necessity for planning processes in developing countries to address the complex causes and consequences associated with accessibility inequalities. Recommendations include a deeper exploration of differences among precarious settlements, considering population density variations, central location impact, and inequalities in job accessibility between self-built and state-constructed settlements.

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引用次数: 0

Has China completed the supply-side structural reform of construction land supply? Evidence from 335 cities

IF 6.5 1区经济学 Q1 DEVELOPMENT STUDIES

Habitat International

Pub Date : 2025-02-01 DOI: 10.1016/j.habitatint.2024.103271

Zelian Guo , Yecui Hu , Jie Wang , Yuping Bai

China needs to comprehend the implementation effects of supply-side structural reforms related to land factors. This understanding is crucial for adjusting the national land allocation strategy. Taking 335 Chinese cities as an example, this paper proposed a perspective to analyze land supply from supply-side structural reform. Additionally, a “supply - demand” framework was built to explore the land supply impact mechanism. The results show that: (1) As the reform advances, the proportion of incremental land supply to the total land supply has been effectively controlled. The average annual growth rate of 4.62% (2010–2015) has shifted to an average annual decrease of 2.23% (2015–2020). The proportion of stock land supply has consistently escalated since 2015, reversing the yearly average decrease of 4.43% (2010–2015) to an average annual increase of 2.10% (2015–2020). (2) The tertiary industry has obtained 76.27% of the total scale of state-owned construction land supply, which is 3.31 times that of the secondary industry. The land supply for the service and social management industries has increased, while other industries have decreased. (3) The scale of land supply is significantly influenced by GDP per unit of construction land area (LNGDP_CL) and the total fixed asset investment (LNTFAI). The study concludes that the implementation of structural reforms on the supply side of land is beginning to show results. Future efforts should focus on aligning incremental land supply with indicators such as population size and consumption levels, and on extensively integrating per capita construction land area to supply existing land stocks. The study contributes information to bolster China's policy of optimizing land allocation, and can also provide new research path for other countries seeking effective land allocation.

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引用次数: 0