scholarly journals Exploration of Urban Interaction Features Based on the Cyber Information Flow of Migrant Concern: A Case Study of China’s Main Urban Agglomerations

2020 ◽  
Vol 17 (12) ◽  
pp. 4235
Author(s):  
Chun Li ◽  
Xingwu Duan
Keyword(s):  
Network Analysis ◽  
Information Flow ◽  
Spatial Data ◽  
Urban Landscape ◽  
Landscape Planning ◽  
Interaction Analysis ◽  
Urban Life ◽  
Spatial Data Analysis ◽  
Spatial Pattern Analysis ◽  
Urban Agglomerations

In the context of “space of flow”, urban interaction has become the key force impacting urban landscape evolution and urban sustainable development. Current research on urban interaction analysis is mainly conducted based on the interaction of geographical elements, the virtual flow of information in cyberspace has not been given sufficient attention, particularly the information flows with explicit geographical meaning. Considering the dramatic population migration and the explosive growth of cyberspace in China’s main urban agglomerations, we constructed the information flow of migrant attention (IFMA) index to quantify the urban information interaction derived from public migrant concern in cyberspace. Under the framework coupling spatial pattern analysis and spatial network analysis, exploration spatial data analysis (ESDA) and complex network analysis (CNA) were adopted to identify the urban interaction features depicted by IFMA index in the three main urban agglomerations in China. The results demonstrated that, in the study area: (1) The IFMA index presented a reasonable performance in depicting geographical features of cities; (2) the inconformity between urban role in the network and development positioning confirmed by national planning existed; (3) in the context of New-type urbanization of China, urban interaction feature can be a beneficial reference for urban spatial reconstruction and urban life improvement. Using the cyber information flow with geographical meaning to analyze the urban interaction characteristics can extend the research angle of urban relationship exploration, and provide some suggestion for the adjustment of urban landscape planning.

scholarly journals BOUNDARY RE-ASSESSMENT OF THE METER READING UNIT (MRU) FOR TENAGA NASIONAL BERHAD, TNB CHERAS

2019 ◽  
Vol XLII-4/W16 ◽  
pp. 729-736
Author(s):  
A. Zulkflee ◽  
M. F. Abdul Khanan ◽  
H. A. Umar ◽  
M. Z. Abdul Rahman ◽  
F. Nik Mohd Kamil
Keyword(s):  
Network Analysis ◽  
Spatial Data ◽  
Clustering Analysis ◽  
Geographic Information ◽  
Spatial Data Analysis ◽  
Reading Processes ◽  
Gis Applications ◽  
Service Efficiency ◽  
Distribution Company ◽  
Growing Population

Abstract. The propensity of Geographic information systems (GIS) as a modelling tool for problems solving and spatial data analysis is remarkable and has been widely used in recent times. GIS applications has been utilized by Tenaga Nasional Berhad (TNB) in solving numerous problems. However, there are other units within the TNB where GIS can be extended and incorporated in order to improve service efficiency, reliability and operational success. Remote meter reading (RMR) technology has been successfully extended and maintain by TNB to more than 70% of highly consumed customers, which tremendously assist in improving meter reading processes and curtailed technical losses. But growing population within the cities and surrounding villages has been the major issue regarding bill distribution which the giant electrical distribution company must address squarely and timely. This paper therefore, employed the application of Geographic Information System in re-assessing the boundaries for meter reading units (MRU) using spatial analysis in order to reduced cost, travel time as well as other logistic requirements regarding billing distribution by TNB personnel. Clustering and network analysis has been employed to generate the new MRU boundary for TNB. The result of clustering analysis has been used to consider the location of customers in new suggested group of clusters, while the network analysis result generates shorter distance routes for meter reading. The results of the analysis can be validated with the analysis graph, where the patterns of the distance are compared in a graph which shows the distance generated from the new suggested cluster of new MRU boundary decrease incrementally compared with the distance of existing MRU routes.

scholarly journals Quantifying the Spatial Integration Patterns of Urban Agglomerations along an Inter-City Gradient

2019 ◽  
Vol 11 (18) ◽  
pp. 5000 ◽  
Author(s):  
Yiliang Wan ◽  
Chuxiong Deng ◽  
Tao Wu ◽  
Rui Jin ◽  
Pengfei Chen ◽  
...  
Keyword(s):  
Urban Landscape ◽  
Landscape Planning ◽  
Urban Expansion ◽  
Landscape Composition ◽  
Urban Agglomeration ◽  
Metropolitan Region ◽  
Sustainable Urban Development ◽  
Spatial Integration ◽  
Urban Agglomerations ◽  
Urban Rural

Understanding the integration process of urban agglomeration is essential for sustainable regional development and urban planning. However, few studies have analyzed the spatial integration patterns of metropolitan regions according to the impacts of landscape ecology along rail transit corridors. This study performed a comprehensive inter-city gradient analysis using landscape metrics and radar charts in order to determine the integration characteristics of an urban agglomeration. Specifically, we analyzed the evolution of spatial heterogeneity and functional landscapes along gradient transects in the Changsha–Zhuzhou–Xiangtan (CZT) metropolitan region during the period of 1995–2015. Four landscape functional zones (urban center, urban area, urban–rural fringe, and green core) were identified based on a cluster analysis of landscape composition, connectivity, and fragmentation. The landscape metric NP/LPI (number of patches/largest patch index) was proposed to identify the urban–rural fringe, which revealed that the CZT region exhibited a more aggregated form, characterized by a single-core, continuous development, and the compression of green space. The integration of cities has resulted in continued compression and fragmentation of ecological space. Therefore, strategies for controlling urban expansion should be adopted for sustainable urban development. The proposed method can be used to quantify the integration characteristics of urban agglomerations, providing scientific support for urban landscape planning.

scholarly journals Research on Urban Carrying Capacity Based on Multisource Data Fusion—A Case Study of Shanghai

2021 ◽  
Vol 13 (14) ◽  
pp. 2695
Author(s):  
Xiangyang Cao ◽  
Yishao Shi ◽  
Liangliang Zhou
Keyword(s):  
Land Use ◽  
Data Fusion ◽  
Spatial Pattern ◽  
Spatial Data ◽  
Carrying Capacity ◽  
Urban Spaces ◽  
Geographical Information ◽  
Spatial Data Analysis ◽  
Spatial Pattern Analysis ◽  
Local Conditions

Taking Shanghai as an example, this paper uses remote sensing (RS) and geographical information systems (GIS) technology to conduct multisource data fusion and a spatial pattern analysis of urban carrying capacity at the micro scale. The main conclusions are as follows: (1) based on the “production, living and ecology” land functions framework and land use data, Shanghai is divided into seven types of urban spaces to reveal their heterogeneity and compatibility in terms of land use functions. (2) We propose an urban carrying capacity coupling model (UCCCM) based on multisource data. The model incorporates threshold and saturation effects, which improve its power to explain urban carrying capacity. (3) Using the exploratory spatial data analysis (ESDA) technique, this paper studies the spatial pattern of carrying capacity in different urban spaces of Shanghai. (4) We analyse the causes of the cold spots in each urban space and propose strategies to improve the urban carrying capacity according to local conditions.

scholarly journals Application of Computer Simulation Analysis in Green City Garden Plant Landscape Design

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Jing Zhang
Keyword(s):  
Computer Simulation ◽  
Spatial Data ◽  
Urban Landscape ◽  
Simulation Analysis ◽  
Landscape Planning ◽  
Landscape Design ◽  
Living Environment ◽  
Computer Hardware ◽  
Management Decision ◽  
Software Systems

As an important component of urban landscape elements, garden plants have the role of improving urban ecological environment and forming landscape effects. Digital landscape is a high-simulation model of the system combined with computer hardware and software systems, which allow analysis of the application of computer simulation in the analysis of the value of urban landscape design. In this paper, we propose a “Task-Crowd-Process-Evaluation” computer simulation analysis framework to support management decision, which can form 2D or 3D spatial data, realize real-time and statistical analysis, make use of the multidimensional, efficient, and humanized human living environment, and make the environment landscape planning more reasonable and practical. The simulation shows that the effective use of urban vegetation can not only beautify the urban landscape, but also play the function of rainwater utilization.

scholarly journals Research on Spatiotemporal Differentiation and Influence Mechanism of Urban Resilience in China Based on MGWR Model

2021 ◽  
Vol 18 (3) ◽  
pp. 1056
Author(s):  
Yu Chen ◽  
Mengke Zhu ◽  
Qian Zhou ◽  
Yurong Qiao
Keyword(s):  
Spatial Heterogeneity ◽  
Spatial Correlation ◽  
Spatial Data ◽  
Central Area ◽  
Urban System ◽  
Entropy Method ◽  
Driving Factors ◽  
Spatial Data Analysis ◽  
Eastern Region ◽  
Urban Resilience

Urban resilience in the context of COVID-19 epidemic refers to the ability of an urban system to resist, absorb, adapt and recover from danger in time to hedge its impact when confronted with external shocks such as epidemic, which is also a capability that must be strengthened for urban development in the context of normal epidemic. Based on the multi-dimensional perspective, entropy method and exploratory spatial data analysis (ESDA) are used to analyze the spatiotemporal evolution characteristics of urban resilience of 281 cities of China from 2011 to 2018, and MGWR model is used to discuss the driving factors affecting the development of urban resilience. It is found that: (1) The urban resilience and sub-resilience show a continuous decline in time, with no obvious sign of convergence, while the spatial agglomeration effect shows an increasing trend year by year. (2) The spatial heterogeneity of urban resilience is significant, with obvious distribution characteristics of “high in east and low in west”. Urban resilience in the east, the central and the west are quite different in terms of development structure and spatial correlation. The eastern region is dominated by the “three-core driving mode”, and the urban resilience shows a significant positive spatial correlation; the central area is a “rectangular structure”, which is also spatially positively correlated; The western region is a “pyramid structure” with significant negative spatial correlation. (3) The spatial heterogeneity of the driving factors is significant, and they have different impact scales on the urban resilience development. The market capacity is the largest impact intensity, while the infrastructure investment is the least impact intensity. On this basis, this paper explores the ways to improve urban resilience in China from different aspects, such as market, technology, finance and government.

scholarly journals Spatial Agglomeration of China’s Forest Products Manufacturing Industry: Measurement, Characteristics and Determinants

Forests ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 1006
Author(s):  
Zhenhuan Chen ◽  
Hongge Zhu ◽  
Wencheng Zhao ◽  
Menghan Zhao ◽  
Yutong Zhang
Keyword(s):  
Spatial Distribution ◽  
Spatial Data ◽  
Large Scale ◽  
Manufacturing Industry ◽  
Economies Of Scale ◽  
Forest Products ◽  
Spatial Data Analysis ◽  
Forest Protection ◽  
Spatial Agglomeration ◽  
Continuous Space

China’s forest products manufacturing industry is experiencing the dual pressure of forest protection policies and wood scarcity and, therefore, it is of great significance to reveal the spatial agglomeration characteristics and evolution drivers of this industry to enhance its sustainable development. Based on the perspective of large-scale agglomeration in a continuous space, in this study, we used the spatial Gini coefficient and standard deviation ellipse method to investigate the spatial agglomeration degree and location distribution characteristics of China’s forest products manufacturing industry, and we used exploratory spatial data analysis to investigate its spatial agglomeration pattern. The results show that: (1) From 1988 to 2018, the degree of spatial agglomeration of China’s forest products manufacturing industry was relatively low, and the industry was characterized by a very pronounced imbalance in its spatial distribution. (2) The industry has a very clear core–periphery structure, the spatial distribution exhibits a “northeast-southwest” pattern, and the barycenter of the industrial distribution has tended to move south. (3) The industry mainly has a high–high and low–low spatial agglomeration pattern. The provinces with high–high agglomeration are few and concentrated in the southeast coastal area. (4) The spatial agglomeration and evolution characteristics of China’s forest products manufacturing industry may be simultaneously affected by forest protection policies, sources of raw materials, international trade and the degree of marketization. In the future, China’s forest products manufacturing industry should further increase the level of spatial agglomeration to fully realize the economies of scale.

scholarly journals Spatial Spillover Effect and Influencing Factors of Information Flow in Urban Agglomerations—Case Study of China Based on Baidu Search Index

2021 ◽  
Vol 13 (14) ◽  
pp. 8032
Author(s):  
Chengzhuo Wu ◽  
Li Zhuo ◽  
Zhuo Chen ◽  
Haiyan Tao
Keyword(s):  
Influencing Factors ◽  
Information Flow ◽  
Spillover Effect ◽  
Spillover Effects ◽  
Urban Agglomeration ◽  
Coordinated Development ◽  
Spatial Spillover ◽  
Urban Agglomerations ◽  
Search Index ◽  
Spatial Spillover Effect

Cities in an urban agglomeration closely interact with each other through various flows. Information flow, as one of the important forms of urban interactions, is now increasingly indispensable with the fast development of informatics technology. Thanks to its timely, convenient, and spatially unconstrained transmission ability, information flow has obvious spillover effects, which may strengthen urban interaction and further promote urban coordinated development. Therefore, it is crucial to quantify the spatial spillover effect and influencing factors of information flows, especially at the urban agglomeration scale. However, the academic research on this topic is insufficient. We, therefore, developed a spatial interaction model of information flow (SIM-IF) based on the Baidu Search Index and used it to analyze the spillover effects and influencing factors of information flow in the three major urban agglomerations in China, namely Beijing–Tianjin–Hebei (BTH), the Yangtze River Delta (YRD), and the Pearl River Delta (PRD) in the period of 2014–2019. The results showed that the SIM-IF performed well in all three agglomerations. Quantitative analysis indicated that the BTH had the strongest spillover effect of information flow, followed by the YRD and the PRD. It was also found that the hierarchy of cities had the greatest impact on the spillover effects of information flow. This study may provide scientific basis for the information flow construction in urban agglomerations and benefit the coordinated development of cities.

Sign in / Sign up

Export Citation Format

Share Document