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Articles in press have been peer-reviewed and accepted, which are not yet assigned to volumes/issues, but are citable by Digital Object Identifier (DOI).
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Surface Regional Heat (Cool) Island Effect and Its Diurnal Differences in Arid and Semiarid Resource-based Urban Agglomerations
Yan CHEN, Miaomiao XIE, Bin CHEN, Huihui WANG, Yali TENG
, Available online  , doi: 10.1007/s11769-022-1324-y
Abstract:
With the rapid development of urban agglomerations in northwest arid and semiarid regions of China, the scope of the urban heat island (UHI) effect has gradually expanded and gradually connected, and has formed a regional heat island (RHI) with a larger range of impact to the regional environment. However, there are few studies on the heat island effect of urban agglomerations in arid and semiarid regions, so this paper selects the urban agglomeration of Hohhot, Baotou and Ordos (HBO) of Inner Mongolia, China as the study area. Based on the 8-day composite Moderate-resolution Imaging Spectroradiometer (MODIS) surface temperature data (156 scenes in all) and land use maps for 2005, 2010, and 2015, we analyze the spatiotemporal distributions of regional heat (cool) islands (RH(C)I) and the responses of surface temperatures to land-use changes in the diurnal and interannual surface cities. The results showed that: 1) from 2005 to 2015, urban areas showed the cold island effect during the day, with the area of the cold island showing a shrinking feature; at night, they showed the heat island effect, with the area of the heat island showing a first decrease and then an increase. 2) From 2005 to 2015, the land development (unutilized land to building land) brings the greatest temperature increase (∆T = 1.36°C) during the day, while the greatest temperature change at night corresponds to the conversion of cultivated land to building land (∆T = 0.78°C) exhibited the largest changes at night. From 2010 to 2015, the land development (grassland to building land) bring the greatest temperature increase (∆T = 0.85°C) during the day, while the great temperature change at night corresponds to the conversion of water areas to building land (∆T = 1.38°C) exhibited the largest changes at night. Exploring the spatial and temporal evolution of surface urban heat (cool) islands in urban agglomerations in arid and semiarid regions will help to understand the urbanization characteristics of urban agglomerations and provide a reference for the formulation of policies for the coordinated and healthy development of the region and co-governance of regional environmental problems.
Spatial Structure of China’s E-commerce Express Logistics Network Based on Space of Flows
Yuanjun LI, Qitao WU, Yuling ZHANG, Guangqing HUANG, Hongou ZHANG
, Available online  , doi: 10.1007/s11769-022-1322-0
Abstract:
The intermediate link compression characteristics of e-commerce express logistics networks influence the traditional mode of circulation of goods and economic organization, and alter the city spatial pattern. Based on the theory of space of flows, this study adopts China Smart Logistics Network relational data to build China’s e-commerce express logistics network and explore its spatial structure characteristics through social network analysis (SNA), the PageRank technique, and geospatial methods. The results are as follows: the network density is 0.9270, which is close to 1; hence, indicating that e-commerce express logistics lines between Chinese cities are nearly complete and they form a typical network structure, thereby eliminating fragmented spaces. Moreover, the average minimum number of edges is 1.1375, which indicates that the network has a small world effect and thus has a high flow efficiency of logistics elements. A significant hierarchical diffusion effect was observed in dominant flows with the highest edge weights. A diamond-structured network was formed with Shanghai, Guangzhou, Chongqing, and Beijing as the four core nodes. Other node cities with a large logistics scale and importance in the network are mainly located in the 19 city agglomerations of China, revealing the fact that the development of city agglomerations is essential for promoting the separation of experience space and changing the urban spatial pattern. This study enriches the theory of urban networks, reveals the flow laws of modern logistics elements, and encourages coordinated development of urban logistics.
Spatio-temporal Evolution of the Rural Regional System and Its Evolution Mechanism in Huang-Huai-Hai Area of China
Mingyang CHENG, Huiling CHEN
, Available online  , doi: 10.1007/s11769-022-1323-z
Abstract:
The problem of rural development arises from the evolution of rural regional system. It is urgent to deepen the research on the evolution process and mechanism of rural regional system. However, there are relatively few studies on rural development from the perspective of the evolution process, driving mechanism and evolution mechanism of rural regional system. Therefore, this study took Huang-Huai-Hai Area for example, started with the systematicness of the rural regional system, the spatio-temporal pattern and driving mechanism of rural regional system evolution, and further summarized and refined the evolution mechanism of the rural regional system. The methods of spatial pattern analysis, gray correlation degree and geographical detection were adopted. The results showed that the problems in rural areas were often dominated by one factor and produced by the joint action of many factors. Factors such as county urbanization, county economy, county public service, agricultural mechanization, surrounding cities and convenient transportation will affect the evolution of rural regional systems. Based on the evolution of the elements in the rural regional system, the evolution types of rural regional system can be divided into decline type, equilibrium type and growth type. This study can provide a reference for understanding the process of rural rise and fall and can also guide rural revitalization and rural sustainable development.
Incorporating Exercise Efficiency to Evaluate the Accessibility and Capacity of Medical Resources in Tibet, China
Li WANG, Linsheng YANG, Binggan WEI, Hairong LI, Hongyan CAI, Jixia HUANG, Xing YUAN
, Available online  , doi: 10.1007/s11769-022-1321-1
Abstract:
Accessibility and capacity of medical resources are key for the health care and emergency response, while the efficiency of the medical resources is very much limited by hypoxia in Tibet, China. Through introducing exercise efficiency, this study explores the accessibility of township residence to county-ship medical resources in Tibet using weighted mean travel time (WMT), and evaluates the medical capacity accordingly. The results show that: 1) the average travel time of township residence to county-level hospital is around 2 h by motor vehicle in Tibet. More than half of the population can not reach the county-ship hospital within 1 h, 33.24% of the population can not reach within 2 h, and 3.75% of the population can not reach within 6 h. 2) When considering the catchment of the medical resources and the population size, the WMT of the county-ship medical resources ranges from 0.25 h to 10.92 h. 3) After adjusted by travel time and exercise efficiency, the county-ship medical capacity became more unequal, with 38 out of 74 counties could not meet the national guideline of 1.8 medical beds per 1000. 4) In total, there are 17 counties with good WMT and sufficient medical resources, while 13 counties having very high WMT and low capacity of medical resources in Tibet. In the end, suggestions on medical resources relocation and to improve the capacity are provided. This study provides a method to incorporate exercise efficiency to access the accessibility and evaluate medical capacity that can be applied in high altitude ranges.
Multi-source Data-driven Identification of Urban Functional Areas: A Case of Shenyang, China
Bing XUE, Xiao XIAO, Jingzhong LI, Bingyu ZHAO, Bo FU
, Available online  , doi: 10.1007/s11769-022-1320-2
Abstract:
Urban functional area (UFA) is a core scientific issue affecting urban sustainability. The current knowledge gap is mainly reflected in the lack of multi-scale quantitative interpretation methods from the perspective of human-land interaction. In this paper, based on multi-source big data include 250 m × 250 m resolution cell phone data, 1.81 × 105 Points of Interest (POI) data and administrative boundary data, we built a UFA identification method and demonstrated empirically in Shenyang City, China. We argue that the method we built can effectively identify multi-scale multi-type UFAs based on human activity and further reveal the spatial correlation between urban facilities and human activity. The empirical study suggests that the employment functional zones in Shenyang City are more concentrated in central cities than other single functional zones. There are more mix functional areas in the central city areas, while the planned industrial new cities need to develop comprehensive functions in Shenyang. UFAs have scale effects and human-land interaction patterns. We suggest that city decision makers should apply multi-sources big data to measure urban functional service in a more refined manner from a supply-demand perspective.