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学者姓名：赵志远
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Fever visit management (FVM) played a critical role in reducing the risk of local outbreaks caused by positive cases during the coronavirus disease 2019 (COVID-19) pandemic under the dynamic zero-COVID-19 policy. Fever clinics were established to satisfy the healthcare needs of citizens with fever symptoms, including those with and without COVID-19. Learning how FVM affects fever medical care accessibility for citizens in different places can support decision making in establishing fever clinics more equitably. However, the dynamic nature of the population at different times has rarely been considered in evaluating healthcare facility accessibility. To fill this gap, we adjusted the Gaussian-based two-step floating catchment area method (G2SFCA) by considering the hourly dynamics of the population distribution derived from mobile phone location data. The results generated from Xining city, China, showed that (1) the accessibility of fever clinics explicitly exhibited spatial distribution patterns, being high in the center and low in surrounding areas; (2) the accessibility reduction in suburban areas caused by FVM was approximately 2.8 times greater than that in the central city for the 15 min drive conditions; and (3) the accessibility of fever clinics based on the nighttime anchor point was overestimated in central areas, but underestimated in suburban areas.
Keyword ：
COVID-19 pandemic COVID-19 pandemic fever medical care accessibility fever medical care accessibility G2SFCA G2SFCA mobile phone location data mobile phone location data spatial distribution patterns spatial distribution patterns
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| GB/T 7714 | Zhao, Zhiyuan , Tu, Youjun , Ding, Yicheng . How Did the Fever Visit Management Policy During the COVID-19 Epidemic Impact Fever Medical Care Accessibility? [J]. | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION , 2025 , 14 (3) . |
| MLA | Zhao, Zhiyuan 等. "How Did the Fever Visit Management Policy During the COVID-19 Epidemic Impact Fever Medical Care Accessibility?" . | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 14 . 3 (2025) . |
| APA | Zhao, Zhiyuan , Tu, Youjun , Ding, Yicheng . How Did the Fever Visit Management Policy During the COVID-19 Epidemic Impact Fever Medical Care Accessibility? . | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION , 2025 , 14 (3) . |
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The flow of essential elements such as people, goods, and information through complex networks has become a critical factor in shaping urban dynamics and regional development. Quantifying location centrality plays an indispensable role not only in urban infrastructure planning but also in National central city planning. Two vital aspects should be considered for central nodes in flow-based complex networks: their impact on adjacent nodes and the diversity of nodes they affect. In this paper, we present a centrality measure index (C-index) that accounts for flow volume and flow directions, offering a high degree of interpretability. We applied the C-index to four public weighted complex networks, demonstrating that our method outperforms classical methods. Furthermore, we validated the effectiveness and advantages of C-index on quantifying location centrality both in inter-city and intra-city population mobility network. The centrality findings from the perspective of population mobility can reinforce guidelines for understanding National central cities and polycentric structure of cities, thereby facilitating policy-making of sustainable urban development.
Keyword ：
Centrality measure Centrality measure Interactions between locations Interactions between locations Population mobility networks Population mobility networks Sustainable urban development Sustainable urban development
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| GB/T 7714 | Yin, Yanzhong , Wu, Qunyong , Zhao, Zhiyuan et al. Quantifying centrality using a novel flow-based measure: Implications for sustainable urban development [J]. | COMPUTERS ENVIRONMENT AND URBAN SYSTEMS , 2025 , 116 . |
| MLA | Yin, Yanzhong et al. "Quantifying centrality using a novel flow-based measure: Implications for sustainable urban development" . | COMPUTERS ENVIRONMENT AND URBAN SYSTEMS 116 (2025) . |
| APA | Yin, Yanzhong , Wu, Qunyong , Zhao, Zhiyuan , Chen, Xuanyu . Quantifying centrality using a novel flow-based measure: Implications for sustainable urban development . | COMPUTERS ENVIRONMENT AND URBAN SYSTEMS , 2025 , 116 . |
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Accurate traffic flow prediction is of paramount importance. Unlike predictions centred on individual intersections, the complexity and interconnectedness of traffic flows within a road network pose unique challenges to traffic flow prediction. Furthermore, the traditional focus on steady-state factors of traffic flow alone is insufficient, given the significant impact of non-stationary factors on traffic dynamics. To address these intricacies, this study introduces a road network traffic flow prediction model, BF-SAGE-GRU, which integrates the Butterworth filter, GraphSAGE and GRU. The model transform the traditional single-intersection prediction into a road network prediction. Subsequently, the accuracy of BF-SAGE-GRU is compared with that of mature models commonly used in traffic flow prediction. The results demonstrate that BF-SAGE-GRU has superior performance, thereby verifying its effectiveness in the field of traffic flow prediction in road networks. © 2024 Copyright held by the owner/author(s).
Keyword ：
BF-SAGE-GRU BF-SAGE-GRU ITS ITS Traffic Flow Prediction Traffic Flow Prediction Urban Networks Urban Networks
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| GB/T 7714 | Wu, Q. , Chen, X. , Gong, P. et al. Dynamic Traffic Prediction in Urban Networks: A Hybrid Approach Integrating Butterworth Filters, Graph-SAGE and GRU [未知]. |
| MLA | Wu, Q. et al. "Dynamic Traffic Prediction in Urban Networks: A Hybrid Approach Integrating Butterworth Filters, Graph-SAGE and GRU" [未知]. |
| APA | Wu, Q. , Chen, X. , Gong, P. , Yin, Y. , Lin, H. , Zhao, Z. . Dynamic Traffic Prediction in Urban Networks: A Hybrid Approach Integrating Butterworth Filters, Graph-SAGE and GRU [未知]. |
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The emergence of large-scale spatiotemporal trajectory data offers an excellent opportunity to characterize collective human mobility patterns and their relationship with the urban built environment. Such an approach can generate a complementary understanding of traditional individual travel behavior based on travel survey data. Using mobile phone data, this study aims to investigate how residential built environments affect residents' mobility at an aggregated level. Specifically, three indicators (movement distance, activity space, and the number of stops) were derived from raw mobile phone data to characterize human mobility. The decay co-efficients and average values were then employed to reveal the aggregated characteristics of movement distance, activity space, and the number of stops. Furthermore, linear regression was applied to examine the relationship between human mobility indicators and residential built environments. The results indicate that the living-built environment could better explain the activity space than the movement distance and number of stops. In addition, some differences in the relationship between human mobility and residential built environments are identified between weekdays and weekends. These findings could provide new insights into human mobility and its interaction with the built environment, thus advancing our understanding of human travel behavior from both individual and collective perspectives.
Keyword ：
Built environment Built environment Human mobility Human mobility Mobile phone data Mobile phone data
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| GB/T 7714 | Yang, Xiping , Li, Junyi , Fang, Zhixiang et al. Influence of residential built environment on human mobility in Xining: A mobile phone data perspective [J]. | TRAVEL BEHAVIOUR AND SOCIETY , 2024 , 34 . |
| MLA | Yang, Xiping et al. "Influence of residential built environment on human mobility in Xining: A mobile phone data perspective" . | TRAVEL BEHAVIOUR AND SOCIETY 34 (2024) . |
| APA | Yang, Xiping , Li, Junyi , Fang, Zhixiang , Chen, Hongfei , Li, Jiyuan , Zhao, Zhiyuan . Influence of residential built environment on human mobility in Xining: A mobile phone data perspective . | TRAVEL BEHAVIOUR AND SOCIETY , 2024 , 34 . |
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Industrial agglomeration, as a typical aspect of industrial structures, significantly influences policy development, economic growth, and regional employment. Due to the collection limitations of gross domestic product (GDP) data, the traditional assessment of industrial agglomeration usually focused on a specific field or region. To better measure industrial agglomeration, we need a new proxy to estimate GDP data for different industries. Currently, nighttime light (NTL) remote sensing data are widely used to estimate GDP at diverse scales. However, since the light intensity from each industry is mixed, NTL data are being adopted less to estimate different industries' GDP. To address this, we selected an optimized model from the Gaussian process regression model and random forest model to combine Suomi National Polar-Orbiting Partnership-Visible Infrared Imaging Radiometer Suite (NPP-VIIRS) NTL data and points-of-interest (POI) data, and successfully estimated the GDP of eight major industries in China for 2018 with an accuracy (R2) higher than 0.80. By employing the location quotient to measure industrial agglomeration, we found that a dominated industry had an obvious spatial heterogeneity. The central and eastern regions showed a developmental focus on industry and retail as local strengths. Conversely, many western cities emphasized construction and transportation. First-tier cities prioritized high-value industries like finance and estate, while cities rich in tourism resources aimed to enhance their lodging and catering industries. Generally, our proposed method can effectively measure the detailed industry agglomeration and can enhance future urban economic planning.
Keyword ：
Gaussian process Gaussian process GDP GDP industrial agglomeration industrial agglomeration nighttime light nighttime light points of interest points of interest
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| GB/T 7714 | Chen, Zuoqi , Xu, Wenxiang , Zhao, Zhiyuan . The Assessment of Industrial Agglomeration in China Based on NPP-VIIRS Nighttime Light Imagery and POI Data [J]. | REMOTE SENSING , 2024 , 16 (2) . |
| MLA | Chen, Zuoqi et al. "The Assessment of Industrial Agglomeration in China Based on NPP-VIIRS Nighttime Light Imagery and POI Data" . | REMOTE SENSING 16 . 2 (2024) . |
| APA | Chen, Zuoqi , Xu, Wenxiang , Zhao, Zhiyuan . The Assessment of Industrial Agglomeration in China Based on NPP-VIIRS Nighttime Light Imagery and POI Data . | REMOTE SENSING , 2024 , 16 (2) . |
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The effect of 'space-time compression' caused by 'space flow' breaks the independent allocation of resources between cities and drives the formation of regionally integrated development pattern, and the organizational structure and operation mechanism of the urban network cannot be separated from the inter-city relationship. Based on Baidu migration big data from October 2021 to September 2022, this paper constructs the intercity population flow network for 366 cities in China. At the node level, a population flow surpassing index is proposed to measure urban centrality and explore the spatial clustering characteristics of urban centrality. At the network community level, the monthly intercity population flow pattern and characteristics of 366 cities are analyzed. The results show that: (1) The population flow surpassing index considering flow direction meets the actual needs of intercity population mobility evaluation for measuring urban centrality and can effectively characterize the centrality of cities in the intercity population flow network. Using Baidu Migration big data from January 2023 to April 2023 after the end of the epidemic for comparison, we found that the central impact on national central city is small due to the prevention and control of COVID-19 transmission; (2) Cities in the intercity population flow network exhibit 'High-High (HH)' and 'Low-Low (LL)' agglomeration characteristics according to their centrality. HH clustering areas are formed in the eastern coastal and central regions, while LL clustering areas are mainly located at the edge of the Qinghai Tibet Plateau, the edge of the three northeastern provinces, and some areas in Hainan Island; (3) The intercity population flow pattern shows different characteristics in different months due to the influence of holidays, COVID-19 transmission, etc., generally in accordance with the first law of geography, and exhibits provincial differentiation characteristics; (4) The finding of urban cohesive subgroups shows that the intercity population flow patterns of Chengdu- Chongqing Urban Agglomeration, Greater Bay Area, Central Plains Urban Agglomeration, Guanzhong Plain Urban Agglomeration, Yangtze River Delta Urban Agglomeration, and other urban clusters are relatively stable, characterized by cross-provincial population flow integration. The Shandong Peninsula Urban Agglomeration and the Beijing- Tianjin-Hebei Urban Agglomeration have close connection in intercity population flow patterns, characterized by cross-urban cluster intercity population flow. The intercity population flow pattern within Zhejiang Province is gradually enhanced, and the urban clusters in middle reaches of Yangtze River and the west bank of the Taiwan Strait haven’t yet formed a stable population flow pattern across provincial borders. © 2024 Science Press. All rights reserved.
Keyword ：
Agglomeration Agglomeration Big data Big data Digital storage Digital storage Disease control Disease control Flow patterns Flow patterns Population dynamics Population dynamics Population statistics Population statistics
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| GB/T 7714 | Yin, Yanzhong , Wu, Qunyong , Lin, Han et al. Analysis of Urban Centrality and Community Patterns from the Perspective of 'Intercity Mobility Flow' in China [J]. | Journal of Geo-Information Science , 2024 , 26 (3) : 666-678 . |
| MLA | Yin, Yanzhong et al. "Analysis of Urban Centrality and Community Patterns from the Perspective of 'Intercity Mobility Flow' in China" . | Journal of Geo-Information Science 26 . 3 (2024) : 666-678 . |
| APA | Yin, Yanzhong , Wu, Qunyong , Lin, Han , Zhao, Zhiyuan . Analysis of Urban Centrality and Community Patterns from the Perspective of 'Intercity Mobility Flow' in China . | Journal of Geo-Information Science , 2024 , 26 (3) , 666-678 . |
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CONTEXT: Long-term historical information on national -scale grain production is critical for ensuring food security but often limited by the lack of geospatial data. OBJECTIVE: This study aims to conduct the first systematic investigation of grain Cropping Patterns (CP) in China over the past two decades, shedding light on the roles of grain expansion and intensification in sustainable agriculture. METHODS: This study proposes a framework to fully characterize grain production patterns considering crop types, cropping intensity and patterns based on spatiotemporal continuous ChinaCP datasets (2005-2020). Four indicators were developed for measuring the Reality to Capability Ratio (RCR) of grain production regarding the total yield and sow area, the cropland extent and cropping intensity. The capability of grain production was derived based on grain cultivation history. RESULTS AND CONCLUSION: There was a huge gap between the reality and capability of grain production in China, which varied with grain crop types and cropping patterns. At national level, a vast majority (96%) of cropland was capable of grain production, and two fifths of cropland quantified for double grain cropping. However, only 46.65% and 24.89% of the capability was implemented for grain or double -grain cropping in 2020. Maize, rice, and wheat was ever cultivated in 76.88%, 57.05%, and 25.18% of national cropland, respectively. Winter wheat plays an important role in stabilizing grain production by double grain cropping, accounting for 7/8 continuously grain -cultivated areas. However, the RCR of double rice was only 7% in 2020. Bridging these gaps could potentially triple grain production, however, achieving this increase poses challenges due to a series of constraints related to cropland fraction, topographic conditions and lack of agricultural labors along with rapid urbanization. This study found that there was a continuous Northeastward movement & countryside shift in grain production. Continuous support for long-term active agricultural systems is crucial to ensure sustainable grain production in China, with a special emphasis on key grain productive regions, considering targeted cropping patterns and regional disparities. SIGNIFICANCE: This study enhances our understanding of grain production systems in China based on long-term cultivation histories. Findings can inform the development of more geographic -targeted policies concerning grain cropping intensifications to ensure food security and environmental sustainability in developing countries. The long term spatiotemporal continuous CPChina datasets during 2005-2020 was are publicly accessed at: https ://doi.org/10.6084/m9.figshare.25106948.
Keyword ：
China China Cropping patterns Cropping patterns Grain security Grain security Non-grain production Non-grain production Spatiotemporal process Spatiotemporal process
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| GB/T 7714 | Qiu, Bingwen , Jian, Zeyu , Yang, Peng et al. Unveiling grain production patterns in China (2005-2020) towards targeted sustainable intensification [J]. | AGRICULTURAL SYSTEMS , 2024 , 216 . |
| MLA | Qiu, Bingwen et al. "Unveiling grain production patterns in China (2005-2020) towards targeted sustainable intensification" . | AGRICULTURAL SYSTEMS 216 (2024) . |
| APA | Qiu, Bingwen , Jian, Zeyu , Yang, Peng , Tang, Zhenghong , Zhu, Xiaolin , Duan, Mingjie et al. Unveiling grain production patterns in China (2005-2020) towards targeted sustainable intensification . | AGRICULTURAL SYSTEMS , 2024 , 216 . |
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Tidal wetlands provide a variety of ecosystem services to coastal communities but suffer severe losses due to anthropogenic activities in the Yangtze River Estuary (YRE). However, the detailed dynamics of tidal wetlands have not been well studied with sufficient spatiotemporal resolution. Here, we proposed a rapid classification method that integrates the COntinuous monitoring of Land Disturbance (COLD) algorithm and Median Composite (MC) based on the dense Landsat time series to track the dynamic processes of tidal wetlands in the YRE from 1990 to 2020. The results showed that the COLD-MC demonstrated remarkable effectiveness in detecting the change of tidal wetlands and excellent overall accuracy and kappa coefficient ranging from 90% to 96% and 0.89-0.95, respectively. The overall accuracy of change detection was 97% with an absolute error of 0.4 years. We found that the total area of tidal wetlands experienced a net loss of 59.75 km2 in the YRE, but the gain and loss of the study period were 1556.07 and 1615.82 km2, respectively. Land reclamation, sediment reduction, and Spartina alterniflora invasion pose significant threats to tidal wetlands. Sustainable management could be implemented through the establishment of nature reserves and ecological sediment enhancement engineering projects.
Keyword ：
COLD-MC COLD-MC dynamic equilibrium dynamic equilibrium land reclamation land reclamation landsat time-series landsat time-series sediment starvation sediment starvation Tidal wetlands Tidal wetlands
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| GB/T 7714 | Wu, Wenting , Lin, Zhibin , Chen, Chunpeng et al. Tracking the dynamics of tidal wetlands with time-series satellite images in the Yangtze River Estuary, China [J]. | INTERNATIONAL JOURNAL OF DIGITAL EARTH , 2024 , 17 (1) . |
| MLA | Wu, Wenting et al. "Tracking the dynamics of tidal wetlands with time-series satellite images in the Yangtze River Estuary, China" . | INTERNATIONAL JOURNAL OF DIGITAL EARTH 17 . 1 (2024) . |
| APA | Wu, Wenting , Lin, Zhibin , Chen, Chunpeng , Chen, Zuoqi , Zhao, Zhiyuan , Su, Hua . Tracking the dynamics of tidal wetlands with time-series satellite images in the Yangtze River Estuary, China . | INTERNATIONAL JOURNAL OF DIGITAL EARTH , 2024 , 17 (1) . |
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城市网络的组织结构与运行机制离不开城市间的关联关系。本文基于2021年10月至2022年9月的百度迁徙大数据，构建了中国366个城市的城际人口流动网络。在节点层面，提出了城际人口流动超越指数衡量城市中心性，探索城市中心性的空间聚类特征；在网络社区层面，分析了中国366个城市的月际城际人口流动特征及社群格局。结果表明：(1)城际人口流动超越指数能够有效表征城际人口流动网络中各城市的中心性；(2)城际人口流动网络中各城市根据其中心性形成“高高”集聚分布和“低低”集聚分布的特征；(3)城际人口流动集聚格局受节假日因素、新型冠状病毒感染等综合影响，在不同月份表现出不同的特征，总体上符合地理学第一定律，并呈现省际分异特征；(4)城市凝聚子群发现结果表明，成渝、大湾区、中原、关中平原、长三角等城市群人口流动格局较为稳定，具有跨省人口流动融合特征；山东半岛城市群与京津冀城市群的人口流动格局联系密切，出现跨城市群人口流动特征；浙江省省域内人口流动特征逐渐加强；长江中游、海峡西岸城市群仍未形成跨越省界的稳定人口流动社群格局。
Keyword ：
区域协调发展 区域协调发展 城市中心性 城市中心性 城市相互作用 城市相互作用 城市群 城市群 城际人口流动网络格局 城际人口流动网络格局 城际人口流动超越指数 城际人口流动超越指数 百度迁徙数据 百度迁徙数据 社区检测 社区检测
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| GB/T 7714 | 尹延中 , 邬群勇 , 林瀚 et al. “人口流动”视域下中国城市中心性和社群格局分析 [J]. | 地球信息科学学报 , 2024 , 26 (03) : 666-678 . |
| MLA | 尹延中 et al. "“人口流动”视域下中国城市中心性和社群格局分析" . | 地球信息科学学报 26 . 03 (2024) : 666-678 . |
| APA | 尹延中 , 邬群勇 , 林瀚 , 赵志远 . “人口流动”视域下中国城市中心性和社群格局分析 . | 地球信息科学学报 , 2024 , 26 (03) , 666-678 . |
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“乒乓效应”是手机位置数据中一种典型的噪声数据，分析其时空分布特征对科学应对噪音数据影响、准确理解分析结果、提高手机位置数据质量具有重要意义。本研究基于速度阈值、重复跳转和频繁大幅度转向3种模式的“乒乓效应”检测方法，采用3个不同研究区(上海、西宁和深圳)的手机位置数据，构建了时间与空间易发指数，对手机数据中的“乒乓效应”进行识别，并从跳转距离特征、空间分布特征、时间分布特征3个方面进行了对比分析。结果表明：空间分布上，“乒乓效应”总体呈现出较高的空间自相关现象，表现为远郊区易发、基站密度高处不易发的特点；在时间分布特征上，呈现出白天易发、夜晚不易发的特点；同时“乒乓效应”的存在会对研究结果产生一定程度的影响。
Keyword ：
“乒乓效应” “乒乓效应” 手机位置数据 手机位置数据 数据质量 数据质量 时空数据挖掘 时空数据挖掘
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| GB/T 7714 | 赵志远 , 张雯婷 , 杨喜平 et al. 手机位置数据中“乒乓效应”的时空特征研究 [J]. | 测绘与空间地理信息 , 2024 , 47 (03) : 12-17 . |
| MLA | 赵志远 et al. "手机位置数据中“乒乓效应”的时空特征研究" . | 测绘与空间地理信息 47 . 03 (2024) : 12-17 . |
| APA | 赵志远 , 张雯婷 , 杨喜平 , 吴升 . 手机位置数据中“乒乓效应”的时空特征研究 . | 测绘与空间地理信息 , 2024 , 47 (03) , 12-17 . |
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