Multi-source Data-driven Identification of Urban Functional Areas:A Case of Shenyang,China

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.

Numerical Simulation of Dam-Break Flows Using Radial Basis Functions: Application to Urban Flood Inundation

Dam-break flows pose significant threats to urban areas due to their potential for causing rapid and extensive flooding. Traditional numerical methods for simulating these events struggle with complex urban landscapes. This paper presents an alternative approach using Radial Basis Functions to simulate dam-break flows and their impact on urban flood inundation. The proposed method adapts a new strategy based on Particle Swarm Optimization for variable shape parameter selection on meshfree formulation to enhance the numerical stability and convergence of the simulation. The method’s accuracy and efficiency are demonstrated through numerical experiments, including well-known partial and circular dam-break problems and an idealized city with a single building, highlighting its potential as a valuable tool for urban flood risk management.

Rainfall-runoff risk characteristics of urban function zones in Beijing using the SCS-CN model

Urbanization significantly increases the risk of urban flooding. Therefore, quantitative study of urban rainfall-runoff processes can provide a scientific basis for urban planning and management. In this paper, the built-up region within the Fifth Ring Road of Beijing was selected as the study area. The details of land cover and urban function zones(UFZs) were identified using GIS and RS methods. On this basis, the SCS-CN model was adopted to analyze the rainfall-runoff risk characteristics of the study area. The results showed that:(1) UFZs within different levels of runoff risk varied under different rainfall conditions. The area ratio of the UFZs with high runoff risk increased from 18.90%(for rainfall return period of 1 a) to 54.74%(for period of 100 a). Specifically, urban commercial areas tended to have the highest runoff risk, while urban greening spaces had the lowest.(2) The spatial characteristics of the runoff risks showed an obvious circular distribution. Spatial cluster areas with high runoff risk were mainly concentrated in the center of the study area, while those with low runoff risk were mainly distributed between the fourth and fifth ring roads. The results indicated that the spatial clustering characteristic of urban runoff risk and runoff heterogeneity among different UFZs should be fully considered during urban rainwater management.

Exploring spatiotemporal patterns of geosocial media data for urban functional zone identification

Urban Functional Zones(UFZs)can be identified by measuring the spatiotemporal patterns of activities that occur within them.Geosocial media data possesses abundant spatial and temporal information for activity mining.Identifying UFZs from geosocial media data aids urban planning,infrastructure,resource allocation,and transportation modernization in the complex urban system.In this work,we proposed an integrated approach by combining the spatiotemporal clustering method with a machine learning classifier.The spatiotemporal clustering method was used to mine the spatiotemporal patterns of activities,of which the distinctive features were extracted as inputs into a machine learning classifier for UFZ identification.The results show that more than 80%of the UFZs can be correctly identified by our proposed method.It reveals that this work serves as a functional groundwork for future studies,facilitating the understanding of urban systems as well as promoting sustainable urban development.

Identifying urban functional zones by capturing multi-spatial distribution patterns of points of interest

Urban Functional Zone(UFZ)identification is vital for urban planning,renewal,and development.Point of Interest(POI),as one of the most popular data in UFZ studies,is transformed into a geo-corpus under specific sampling strategies,which can be used with Natural Language Processing(NLP)technology to extract geo-semantic features and identify UFZs.However,existing studies only capture a single spatial distribution pattern of POIs,while ignoring the other spatial distribution information.In this paper,we developed an integrated geo-corpus construction approach to capture multi-spatial distribution patterns of POIs that were represented by different modal POI embeddings.Subsequently,random forest model was leveraged to classify UFZs based on those embeddings.A set of combination experiments were designed for performance validation.The results show that our proposed method can effectively identify UFZs with an accuracy of 72.9%,with an improvement of 8.5%compared to the baseline methods.The outcome of this study will help urban planners to better understand UFZs through investigating the integrated spatial distribution patterns of POIs embedded in UFZs.

Recognizing mixed urban functions from human activities using representation learning methods

When various urban functions are integrated into one location,they form a mixture of functions.The emerging big data promote an alternative way to identify mixed functions.However,current methods are largely unable to extract deep features in these data,resulting in low accuracy.In this study,we focused on recognizing mixed urban functions from the perspective of human activities,which are essential indicators of functional areas in a city.We proposed a framework to comprehensively extract deep features of human activities in big data,including activity dynamics,mobility interactions,and activity semantics,through representation learning methods.Then,integrating these features,we employed fuzzy clustering to identify the mixture of urban functions.We conducted a case study using taxiflow and social media data in Beijing,China,in whichfive urban functions and their correlations with land use were recognized.The mixture degree of urban functions in each location was revealed,which had a negative correlation with taxi trip distance.The results confirmed the advantages of our method in understanding mixed urban functions by employing various representation learning methods to comprehensively depict human activities.This study has important implications for urban planners in understanding urban systems and developing better strategies.

Integrating urban morphology and land surface temperature characteristics for urban functional area classification

The classification of urban functional areas plays an important role in urban planning and resource management.Although previous studies have confirmed that different urban func-tional areas have different morphological structures and Land Surface Temperature(LST)characteristics,these two types of characteristics have rarely been fully integrated and used for functional area classification.In this paper,a new framework for classifying urban functional areas is proposed by combining urban morphological features and LST features.First,metrics are constructed from three levels,namely,building,road and region,which are used to portray urban morphology;LST is retrieved using thermal infrared remote sensing to reflect LST features with four metrics:the average temperature,maximum temperature,temperature difference and standard deviation of temperature.Then,the functional areas are classified into four categories:service/public land,commercial land,residential land and industrial land.A random forest algorithm is used to effectively fuse the features of these two categories and classify the functional areas.The effectiveness of the proposed framework is tested in the study area of Shenzhen City,Guangdong Province.The results show that the combined classification accuracy of the proposed classification method is 0.85,which is 0.26 higher than that of the classification model based on urban morphology and 0.1 higher than that of the classification model based on LST features.The proposed framework verifies that the integration of LST features into urban functional area classification is reliable and effectively combines urban morphology and LST features for functional area classification.

Function of College Suburbanization in Suburb Urbanization——A Case Study of Xindu District of Chengdu City in China

Under the background of increasing aggravation of social transformation,the paper has discussed the influence of new campus construction in large cities on the expansion of high education zone and college suburbanization.Based on Merton's structural functionalism,by taking Xindu District of Chengdu City for example,the positive and negative functions of college suburbanization in suburb urbanization have been analyzed through complex indexes of urbanization evaluation.Furthermore,it has analyzed positive functions on urbanization of suburb population,suburb economy,suburb residents' life style and values,as well as negative functions on government's administration and land resources' use.On this basis,countermeasures to transform negative effects into positive effects have been proposed.

Application of Spatial and Temporal Entropy Based on Multivariate Data for Measuring the Degree of Urban Function Mix

Quantifying the degree of urban function mix has great signifi cance to both urban planning practices and studies. This paper, fi rst of all, based on the data of points of interest(POIs), analyzes the spatial distribution patterns of urban functions in Beijing. Then according to the taxi GPS data with the origin and destination points(taxi-ODs), we identify the spatial and temporal pattern of the degree of urban function mix in Beijing. Finally, based on the information entropy model of the POIs and taxi-ODs, we establish a spatial entropy and a temporal entropy to quantitatively assess the degree of urban function mix, confirming by virtue of correlation analysis and regression analysis that the spatial entropy of POIs is closely associated with the temporal entropy of taxi-ODs, which proves that it is reasonable to assess the degree of urban function mix via these two entropies. As a result, the degree of urban function mix in Beijing is characterized by slowly decreasing from its core area along the 3rd and 4th Ring Roads to its periphery. In detail, there is the highest degree of urban function mix in Beijing's traditional core areas, including Zhongguancun, CBD(Central Business District), the Old Dongcheng District, the Old Xicheng District, and the area within the 2nd Ring Road; a higher degree in Wangjing area; and a low degree in Tiantongyuan and Huilongguan communities. The analytical results have initially achieved a more accurate identifi cation and quantitative evaluation on the degree of urban function mix, and can be taken as a supporting tool to analyze the comprehensiveness of urban functions.

Spatial Identification of Urban Ecological Function on the North Slope of Qinling Mountains Based on Ecological Sensitivity—A Case Study in Baoji, China

Since the 17th National Congress of the Communist Party of China, ecological civilization has been the key construction goal in China, which has a profound impact on the process of urbanization. In recent years, with the rapid development of urbanization and unreasonable land development and utilization, the ecological environment has deteriorated sharply, and the stability of ecological environment has always been a difficult problem in the process of regional development. The spatial division of urban ecological function can be divided into different types of spatial utilization according to the fragile state of ecological environment, which not only guarantees urban construction but also maintains the ecological environment health, and has great economic benefits and ecological value in formulating regional development strategies and ecological protection. In this paper, from four perspectives of “land, water, human and forest”, eight factors affecting ecological sensitivity were selected, and GIS spatial superposition method was used to conduct qualitative and quantitative analysis on the ecological sensitivity of Baoji City, and the evaluation results of single factor ecological sensitivity and comprehensive ecological sensitivity were obtained. The areas with different ecological sensitivity are divided into extremely sensitive areas, highly sensitive areas, moderately sensitive areas, slightly sensitive areas and non-sensitive areas. The research shows that the proportion of extreme, high, moderate, mild and insensitive areas in Baoji City is 7.32%, 10.57%, 22.25%, 42.91% and 16.95% respectively. Finally, the areas with different sensitivity grades are identified as three types of urban ecological function areas: ecological conservation area, ecological coordinated moderate utilization area and ecological suitable construction area, so as to provide scientific theoretical basis for urban construction and land use optimization in Baoji City.

Function of Agricultural Land Use and Its Evolvement in Peri-urban Area: A Case Study of Beijing

Rapid urbanization in Beijing stimulates the urban land expansion and diminishes available agricultural land. Monofunctional agricultural land use can not meet the demand of the devel- opment of the multifunctional agriculture and urbanization any more, so multifunctional agricultural land use is going to be promoted in the city. This article proposes the evolvement of the land use change from 1992 to 2004 and discusses some evolvement views.

An integrated approach to evaluation on ecological service functions for urban green space and its application

This methodological investigation deals with measurement and valuation of ecological service functions for urban green space. Social, economic and ecological dimensions for such types of function were analyzed and a concept “integrated ecological service functions” (IESF) was put forward for evaluation. Based upon this conceptual approach, an index system for measuring IESF for urban green space was established. With a methodological integration of fuzzy mathematics, decision making analysis and Delphi method, an AHP fuzzy evaluation techniques for IESF for urban green space, called AFIFUG method, was developed. Such a method has been directly applied to the land use strategic planning of Tianjin out ring green belt(TOGB), and its analysis results have been successfully put into operation.

Empirical Study of China's Rural Consumption Function from the Perspective of Balancing Urban and Rural Development

From the perspective of balancing urban and rural development,this article researches the factors influencing the consumption level of rural residents in China.I select the relevant data concerning per capita net income of rural households and annual per capita consumer spending of rural residents for living in the period 1985-2008,establish the regression model of per capita net income of rural households and per capita consumer spending of rural residents for living,and conduct regression analysis and error correction model test using the measurement software.The analysis results show that there is not only long-term equilibrium relationship between rural residents' current consumption and rural residents' current income,between rural residents' consumption in lag period 1 and rural residents' income in lag period 1,but also short-term equilibrium relationship;current income is the main reason for determining the current consumption).Corresponding proposals are put forward to promote the level of rural consumption in China as follows:propel agricultural modernization;actively develop specialized cooperative organizations of rural residents;improve rural land transfer mechanism;promote the level of public services in rural areas;accelerate the transfer of rural surplus labor.

基于POI数据的城市功能识别与分布特征研究——以长春市区为例

长春市是国家新型城镇化综合试点城市,识别长春市中心城区功能,针对当前存在的问题提出对策建议,对城市空间的优化与协调具有重要意义。以兴趣点(Point of Interest,POI)数据及开放街道地图(Open Street Map,OSM)数据为基础,结合核密度分析、实地调查验证等方法,识别长春市中心城区城市功能类型。结果表明:单一功能区中,商业功能区数量最多,居住功能区最少;主导—混合功能区中的商业主导功能区及交通主导功能区形成对商业聚集区与轨道交通系统的重要补充;细分—混合功能区特征显示功能混合程度从市中心向周边逐渐加大。经验证,城市功能识别结果符合长春市实际,由此提出对策建议:未来长春市中心城区应注重多中心发展格局,并加强绿地空间和公共服务设施建设。

Functional Characteristics of Beijing Subway Stations Based on POI Data:Taking Beijing Metro Line 6 as An Example

Urban subway station is a key node related to urban social,political,economic and cultural activities.There are some differences in the location,function orientation,land use and flow characteristics of different types of stations in the city.This paper mainly used Tyson’s edge,kernel density analysis,chart analysis and other methods to classify the functional types of 412,393 POI data of 26 stations along Metro he results showed that the spatial distribution of Beijing Metro Line 6 was mainly divided into 3 categories,subway stations were divided into 4 categories.Among them,type A sites were divided into composite and single types,and the distribution characteristics of the 6 types of sites were quite different.Based on the qualitative and quantitative analysis of POI point data,this method can quickly classify and analyze the characteristics of stations along Line 6 in Beijing,which also has theoretical and practical value for the planning of urban subway lines.

THE CLASSIFICATION OF INDUSTRIAL FUNCTION OF CHINESE CITIES (INCLUDING ATTACHED COUNTIES)

Represents the first attempt to classify all of China’s295 cities in terms of industrial functions,using 1984 data.Within the framework of economic base theory of urban development,three elements are defined as specialized branch,functional intensity and functional scale.The method used here is based on a combination of the three elements.A number of techniques tried made it possible to base the classification on a composite measure,consisting of the Ward’s Error Method of hierarchical cluster analysis and a supplementary application of Nelson measure.The 295 cities have been grouped into three categories with 19 subcategories and 54 functional groups.The distribution of cities in most of the subcategories are displayed on 8 maps.

Sustainable Urban Restructuring of Khartoum： A Revolutionary Measure for Rapid Growth Absorption and Urban Changes

Rapidly developing cities are under continuous physical and social changes which make sustainable urban growth concept a matured line of thinking. They are therefore, in need of restructuring to contain these changes. Likewise, Khartoum is growing rapidly and is subjected to continual transformation. It started in Independence Day （1/1/1956） by 〈3% of Sudan population and reached 16.8% in 2010 while its physical block grew beyond imagination. The objective of this paper is to throw light on Khartoum rapid growth change effects which necessitated implementation of a revolutionary restructuring programme. At first, huge rural influxes were absorbed and later physical distortions were corrected. This included squatter settlements＇ treatment to strengthen urban fabric, reallocation of incompatible urban functions, revitalization of the CBD （central business district） and other urban renewal schemes. Transportation lines were extended to ease people mobility and higher population concentrations were diluted, particularly the filthy slums. Old neighbourhoods, traditional villages, etc. were re-planned and popular physical development was encouraged. The restructuring programme appropriated population distribution, administrative districts, new local markets＇ locations and urban activities＇ distribution. The programme attained social benefits, particularly availing shelter and essential social services. Difficulties from relocation processes were encountered but settlements＇ regularization achieved social justice and sustained urban growth.

Functional Characteristics of the Surrounding Area of Beijing Metro Line 5 Based on POI Data

As an important urban infrastructure,rail transit not only has transportation function,but also has a close connection and harmonious development with the surrounding urban space.Taking Beijing Metro Line 5 as an example,each station of Beijing Metro Line 5 was analyzed by GIS software and Echarts chart based on POI data.The functions of subway site type were divided into main function,secondary function and no significant function,and various types of sites within the main functional characteristics of urban functions were discussed in details.The paper presents a new method for identifying urban functional features,which can be applied to not only other metro stations in Beijing but also the same type of cities.Moreover,it lays a foundation for the research of rail transit subway stations and their related researches.

权力感对城乡低家庭社会经济地位中学生执行功能的影响

如何提高低家庭社会经济地位中学生的认知发展水平,成为社会各界关注的重点。研究1考察家庭社会经济地位对中学生执行功能的影响,研究2考察权力感和城乡类型对低家庭社会经济地位中学生执行功能的影响。结果发现:(1)低家庭社会经济地位对中学生执行功能存在消极影响;(2)权力感在城乡类型对低家庭社会经济地位中学生执行功能的影响中存在调节作用。因此,提高权力感有助于改善低家庭社会经济地位中学生的执行功能并能短期缩短城乡低家庭社会经济地位中学生的发展差距。

URBAN RENEWAL AND DEVELOPMENT OF SHANGHAI CITY

A new strategic thinking is put forward to resolve the urban problems in Shanghai based on the tendencies of recent shift of economic structure and development. It is argued that the traditional institution of urban economy and management is responsible for the degeneration of urban environment. Thus, a change of mechanism of urban functioning is essential to the sustainable growth of Shanghai City. The key part of the new strategic thinking of Shanghai urban renewal is the adjustment of urban land use structure and industrial structure, using land use right leasing of the emergent land market as the start force of the structure adjustment by accumulating capital. And the development of Pudong new area provides right time and space forShanghai urban renewal.