Guangdong Key Laboratory for Urbanization and Geo simulation

Guangzhou, China

Guangdong Key Laboratory for Urbanization and Geo simulation

Guangzhou, China
SEARCH FILTERS
Time filter
Source Type

Zhang X.,Sun Yat Sen University | Zhang X.,Guangdong Key Laboratory for Urbanization and Geo simulation | Luo G.,Sun Yat Sen University | Luo G.,Guangxi Teachers Education University | And 3 more authors.
ISPRS International Journal of Geo-Information | Year: 2017

Multi-scale object matching is the key technology for upgrading feature cascade and integrating multi-source spatial data. Considering the distinctiveness of data at different scales, the present study selects residential areas in a multi-scale database as research objects and focuses on characteristic similarities. This study adopts the method of merging with no simplification, clarifies all the matching pairs that lack one-to-one relationships and places them into one-to-one matching pairs, and conducts similarity measurements on five characteristics (i.e., position, area, shape, orientation, and surroundings). The relevance vector machine (RVM) algorithm is introduced, and the method of RVM-based spatial entity matching is designed, thus avoiding the needs of weighing feature similarity and selecting matching thresholds. Moreover, the study utilizes the active learning approach to select the most effective sample for classification, which reduces the manual work of labeling samples. By means of 1:5000 and 1:25,000 residential areas matching experiments, it is shown that the RVM method could achieve high matching precision, which can be used to accurately recognize 1:1, 1:m, and m:n matching relations, thus improving automation and the intelligence level of geographical spatial data management. © 2017 by the authors.


Zhou C.,Sun Yat Sen University | Zhou C.,Guangdong Key Laboratory for Urbanization and Geo simulation | Hu J.,Sun Yat Sen University | Hu J.,Guangdong Key Laboratory for Urbanization and Geo simulation | And 3 more authors.
Dili Xuebao/Acta Geographica Sinica | Year: 2016

Research into urban socio- spatial structure was first introduced to Chinese geographers in 1986. Since the beginning of the free-market economic reform in 1987, Chinese cities have changed rapidly and have attracted substantial attention from academia. Chinese case studies have predominantly concerned megacities such as Beijing, Shanghai, and Guangzhou. As the pioneer of China's reform and opening-up, Guangzhou is representative of large Chinese cities in the transformation of the socio-spatial structure. The first research was initiated in the social areas of Guangzhou in 1985. Zhou used data from the fifth population census of 2000 to analyze the social areas of Guangzhou and identified three evolution modes of the socio-spatial structure: the first is based on the development of the old city, the second fouses on the development of the educational or industrial "enclave", and the third presents the development of agricultural areas. The research on the evolution of urban socio- spatial structure, as a vital part of urban geography study, needs a long- term follow- up survey and analysis. Thus, using the Factor Ecological Analysis (FEA), this paper analyzes the social area in Guangzhou with the Sixth National Population Census data of 2010, and further divides the social area into 7 sub-types based on the 7 main factors. Comparing the studies of the 2000s and 1985, we found that: (1) Most of the principal factors are available for the years of 1985-2010, and they have played an increasingly important role during the period studied. In addition, some individual principal factors only appear in a certain year, thus have strong distinct characteristics. (2) The evolution of social areas in Guangzhou has been mainly characterized by type conversion and followed by regional spatial differentiation in 1985-2000; and vice versa in 2000- 2010. (3) This study further found evidence of the three evolution modes proposed in 2000 based on the development of the old town, development of enclave of industry and education, and development of the rural community; then it put forward a new model based on the development of the social areas in suburban towns; (4) The market mechanism, administrative mechanism and the family life cycle mechanism work together to the evolution of socio-spatial structure. © 2016, Science Press. All right reserved.


Zheng Z.,TU Eindhoven | Zhou S.,Sun Yat Sen University | Zhou S.,Guangdong Key Laboratory for Urbanization and Geo simulation
Computers, Environment and Urban Systems | Year: 2017

The relationship of the built environment to human travel is one of the mainstream themes in urban studies. It provides a foundation for transport prediction. The existing literature is limited in accuracy when predicting spatial temporal travels from built environment. Understanding the scaling laws of spatial visitation frequency sheds new light on the issue. The scaling laws connect travel and the built environment by ordered-rankings, which make it possible to predict the number of arrivals from environmental variables. This research analyses the scaling laws of dynamic spatial visitation frequency using taxis' global positioning system (GPS) records, and proposes a model to predict spatial temporal arrivals from points of interest (POIs). The results show that: (i) the scaling law of spatial visitation frequency is exponential; (ii) the exponential scaling law is explained by the linear preferential attachment effect and a logarithmic travel growth process; (iii) the exponential scaling law is not sensitive to time; (iv) the proposed model predicts spatial temporal arrivals with high accuracy (R2 > 0.6). © 2017 Elsevier Ltd


Li X.,NORM | Li X.,East China Normal University | Li Q.,Sun Yat Sen University | Li Q.,Guangdong Key Laboratory for Urbanization and Geo simulation | Claramunt C.,French Naval Academy Research Institute
Safety Science | Year: 2017

Over the past few years, rapid urbanization has stressed an urgent need for the development of comprehensive and efficient contingency plans in urban spaces. Amongst other actions to take, evacuation plans are important solutions to protect people from unforeseen effects of disasters. In this paper, we develop an optimal method to design appropriate evacuation plans. Its objectives include minimizing total clearance time and travel time of each evacuee, avoiding traffic congestions, and balancing traffic loads among different exits. A series of algorithms are developed to determine the departure time, the destination, and the route of each evacuation group. A time-extended network model is presented to support these algorithms. A real-world case is employed to examine the performance of the proposed model. The performance and applicability of the proposed approach when targeting different scales and granularities of evacuation are discussed and analyzed in detail. Results demonstrate that the above four objectives can be closely satisfied, and the approach performs better for evacuations with a large scale and a small granularity. © 2017 Elsevier Ltd.


Guo T.,Sun Yat Sen University | Zhang X.,Sun Yat Sen University | Zhang X.,Guangdong Key Laboratory for Urbanization and Geo simulation
Cehui Xuebao/Acta Geodaetica et Cartographica Sinica | Year: 2013

To realize automatic extraction of change information in GIS vector data updating, a change information recognition method based on neural network decision tree is proposed. A change information hierarchical detection method based on quad-tree was designed and realized in this paper. With the comparison of vertex-edge characteristics, this method could rapidly locate change areas. Based on the matching of correspondent objects, a neural network decision tree method was applied to recognize the change information. This method combined the effective logical judgment of decision tree and adaptive processing of neural network. 1:2000 Topographical data were used to verify the effectiveness of the method. Experimental result shows that this method can achieve high computing speed and effectively detect the change pattern of vector data, which can improve the automation and intelligence level of dynamic updating in GIS database.


Sun Y.,Sun Yat Sen University | Zhang X.,Sun Yat Sen University | Zhang X.,Guangdong Key Laboratory for Urbanization and Geo simulation | Kang T.,Foshan Urban Planning Design and Surveying Research Institute | And 2 more authors.
Cehui Xuebao/Acta Geodaetica et Cartographica Sinica | Year: 2013

Improved GAC Model based on the initial curve and the external force is proposed. It is a new method for automatic building extraction from LiDAR point clouds combined with the aerial image. The morphological alternating sequential filtering is used to access the initial curve automatically, and then the external force is improved by the LiDAR depth gradient image, so the improved geodesic active contour (IGAC) model is proposed. Experiment indicates that this method can inhibit the weak boundary leakage and produce high accuracy and completeness of building boundary.


Liu X.,Sun Yat Sen University | Liu X.,Guangdong Key Laboratory for Urbanization and Geo Simulation | Qiu J.,Sun Yat Sen University | Zhang D.,Hunan Wanyuan Assessment Consulting Co.
Journal of Soils and Sediments | Year: 2017

Purpose: The slope-produced runoff time (runoff time) of colluvium in a benggang (collapse hill and erosion gully) is related to rainfall characteristics and water infiltration as well as slope angle. Additionally, soil water content (SWC) directly correlates with rainfall intensity. This research analyzed the slope-runoff characteristics and the SWC distribution of the colluvium in a benggang catchment by simulated rainfall experiments in situ and the detection of the PR2/6 soil moisture profile probe. Materials and methods: The simulated rainfall experiments were conducted at Liantanggang benggang in Wuhua county, Guangdong province of southern China. Four old and three new colluvial slopes were selected as the study cases, and the characteristics of their slope runoff and their SWC distribution were investigated using 28 simulated rainfall experiments. Results and discussion: A negative power function existed between runoff time and rainfall intensity. Moreover, a negative logarithmic function existed between runoff time and initial SWC at a 10-cm depth in the old colluvium. A 3D model was established to predict the runoff time using rainfall intensity and initial SWC. When the rainfall intensity was ≥3.5 mm min−1, the runoff time exhibited a linear negative correlation with the slope angle. The simulated rainfall caused variations in profile SWC. At the 10-cm depth, the old colluvium had an SWC over 20%, whereas the SWC of the new colluvium was below 20%. After 24 h passed, the infiltrated water was redistributed and deeper wetting front depths were observed in the new colluvium than in the old colluvium. Conclusions: The results demonstrate that the ‘rainfall intensity-initial SWC-runoff time’ model for the colluvial slopes of benggang catchments could be used to predict runoff time based on rainfall intensity and initial SWC. The wetting front depth of the profile SWC could imply that the unstable depth of the colluvium may be beyond the maximum depth of 100 cm. © 2017 Springer-Verlag Berlin Heidelberg


Zhou S.,Sun Yat Sen University | Zhou S.,Guangdong Key Laboratory for Urbanization and Geo simulation | Xie M.,United Investment Group Co. | Kwan M.-P.,University of Illinois at Urbana - Champaign | Kwan M.-P.,University Utrecht
Habitat International | Year: 2015

The social and spatial patterns of ageing population in urban China illuminate the influence of the socioeconomic transformation associated with the dual economic system. Guangzhou, one of China's megacities, is used as a case study in this paper. Data from the 2010 National Census were used to examine the spatial differentiation and the related factors of ageing communities in Guangzhou. Using social area analysis, the study identified six categories of ageing communities: traditional inner-city communities, traditional danwei residential communities, commercial housing ageing communities, danwei compound ageing communities, immigrant ageing communities, and rural ageing communities. The paper analyses the reasons and processes leading to the clustering of the elderly population in each category of areas associated with distinctive spatial patterns of ageing differentiation. These patterns suggest that the socio-spatial differentiation of ageing communities is a joint outcome of urban development, housing policies, personal status and family relationships. The dynamics of both ageing in place and ageing with migration had a dual impact on the spatial, social and ecological patterns of ageing communities. The spatial differentiation of ageing communities in the study area should be taken into account when formulating urban planning and public policies. In addition, a dynamic public facility and service allocation system is also necessary to meet the needs associated with evolving socio-spatial urban restructuring. © 2015 Elsevier Ltd.


Zhou S.,Sun Yat Sen University | Zhou S.,Guangdong Key Laboratory for Urbanization and Geo simulation | Deng L.,Guangzhou Panyu Urban Planning and Design Institute | Huang M.,University College London
Chinese Geographical Science | Year: 2013

Metropolitan cities in China are commonly confronted with unresolved traffic congestion issues, primarily due to rapidly increasing traffic demand. Group disparity between commuting mode choice and its spatial distribution on road networks has enabled us to examine the factors that give rise to the discrepancies and the fundamental spatial causes of traffic congestion. In recent years, micro-perspective, individual, and behavior-based spatial analysis have mushroomed and been facilitated with effective tools such as temporal geographic information systems (T-GIS). It is difficult to study the interrelations between transport and space on the basis of commuting mode choice since the mode choice data are invisible in a specific space such as a particular road network. Therefore, in the field of transport, the classical origin destination (OD) four-stage model (FSM) is usually employed to calculate data when studying commuting mode choice. Based on the relative principles of T-GIS and the platform of ArcGIS, this paper considers Guangzhou as a case study and develops a spatio-temporal tool to examine the daily activities of residents. Meanwhile, the traffic volume distribution in rush hours, which was analyzed according to commuting modes and how they were reflected in the road network, was scrutinized with data extracted from travel diaries. Moreover, efforts were made to explain the relationship between traffic demand and urban spatial structure. Based on the investigation, this research indicates that traffic volumes in divergent groups and on the road networks is driven by: 1) the socio-economic characteristics of travelers; 2) a jobs-housing imbalance under suburbanization; 3) differences in the spatial supply of transport modes; 4) the remains of the Danwei (work unit) system and market development in China; and 5) the transition of urban spatial structure and other factors. © 2013 Science Press, Northeast Institute of Geography and Agricultural Ecology, CAS and Springer-Verlag Berlin Heidelberg.


Chen Y.,Sun Yat Sen University | Chen Y.,Guangdong Key Laboratory for Urbanization and Geo simulation | Li X.,Sun Yat Sen University | Li X.,Guangdong Key Laboratory for Urbanization and Geo simulation | And 4 more authors.
International Journal of Geographical Information Science | Year: 2012

In recent years, agent-based models (ABMs) have become a prevalent approach for modelling complex urban systems. As a class of bottom-up method, ABMs are capable of simulating the decision-making as well as the multiple interactions of autonomous agents and between agents and the environment. The definition of agents' behaviour is a vital issue in implementing ABMs to simulate urban dynamics. Urban economic theory has provided effective ways to cope with this problem. This theory argues that the formation of urban spatial structure is an endogenous process resulting from the interactions among individual actors that are spatially distributed. However, this theory is used to explain urban phenomena regardless of spatial heterogeneity in most cases. This study combines GIS, ABM and urban economic models to simulate complex urban residential dynamics. The time-extended model is incorporated into an ABM so as to define agents' behaviour on a solid theoretical basis. A spatial variable is defined to address the neighbourhood effect by considering spatial heterogeneity. The proposed model is first verified by the simulation of three scenarios using hypothetical data: (1) single dominated preference; (2) varying preferences on the basis of income level; and (3) spatially heterogeneous environment. Then the model is implemented by simulating the residential dynamics in Guangzhou, China. © 2012 Copyright Taylor and Francis Group, LLC.

Loading Guangdong Key Laboratory for Urbanization and Geo simulation collaborators
Loading Guangdong Key Laboratory for Urbanization and Geo simulation collaborators