Pub Date : 2021-11-03DOI: 10.1109/ieeeconf54055.2021.9687659
Bo Xiao, Junsan Zhao, Dongsheng Li, Wenfei Xi, Di Zhou, Shuai Gao, Zhenfeng Zhao
Kunming, as an important urban interchange point along the “One Belt And One Road”, is in the peak period of subway construction. However, due to the ground characteristics, in the process of subway construction and operation, it is easy to cause surface subsidence, which threatens people's lives and property safety. Therefore, it is of great practical significance to master the ground deformation along the subway lines timely and accurately. Taking the Kunming subway network as an example, in this paper, 69 Sentinel-1A SAR images of Kunming city from July 20, 2018, to November 18,202,0 were processed by SBAS-InSAR technology, and then the surface subsidence information was extracted. On this basis, the spatial and temporal distribution characteristics of the surface subsidence of the five key subsidence areas and the 500m buffer zone along the subway are analyzed. The research results showed that from July 2018 to December 2020, the overall surface subsidence characteristics of Kunming were more obvious, and the subsidence rate is −123.98~31.52mm/a. The key subsidence areas are mainly distributed along the subway lines. The sedimentation value of the six subways was within the safe range except for settlement area 1 of Line 2 and settlement areas 3 and 4 of Line 4. This work demonstrates that the SBAS-InSAR technology based on Sentinel-1A SAR images has great potential in subway surface subsidence monitoring, which can provide a reference for government departments to carry out surface subsidence monitoring and disaster warning along the subway in the future.
{"title":"The Subsidence Detection and Analysis Along Kunming Subway Network Based on SBAS-InSAR","authors":"Bo Xiao, Junsan Zhao, Dongsheng Li, Wenfei Xi, Di Zhou, Shuai Gao, Zhenfeng Zhao","doi":"10.1109/ieeeconf54055.2021.9687659","DOIUrl":"https://doi.org/10.1109/ieeeconf54055.2021.9687659","url":null,"abstract":"Kunming, as an important urban interchange point along the “One Belt And One Road”, is in the peak period of subway construction. However, due to the ground characteristics, in the process of subway construction and operation, it is easy to cause surface subsidence, which threatens people's lives and property safety. Therefore, it is of great practical significance to master the ground deformation along the subway lines timely and accurately. Taking the Kunming subway network as an example, in this paper, 69 Sentinel-1A SAR images of Kunming city from July 20, 2018, to November 18,202,0 were processed by SBAS-InSAR technology, and then the surface subsidence information was extracted. On this basis, the spatial and temporal distribution characteristics of the surface subsidence of the five key subsidence areas and the 500m buffer zone along the subway are analyzed. The research results showed that from July 2018 to December 2020, the overall surface subsidence characteristics of Kunming were more obvious, and the subsidence rate is −123.98~31.52mm/a. The key subsidence areas are mainly distributed along the subway lines. The sedimentation value of the six subways was within the safe range except for settlement area 1 of Line 2 and settlement areas 3 and 4 of Line 4. This work demonstrates that the SBAS-InSAR technology based on Sentinel-1A SAR images has great potential in subway surface subsidence monitoring, which can provide a reference for government departments to carry out surface subsidence monitoring and disaster warning along the subway in the future.","PeriodicalId":171165,"journal":{"name":"2021 28th International Conference on Geoinformatics","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122054520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-03DOI: 10.1109/ieeeconf54055.2021.9687653
Zhenkai Yang, Huping Cui, Fei Yang
Scale is one of the most basic and complex research topics in the field of geographic information science. In this paper, the relation and distinction among scale, scale transformation and multi-scale representation are analyzed firstly. A framework of multi-scale representation implementation methods of geospatial vector data is proposed from the perspectives of dimension, the relation between scenario and its scale, and the process steps. In consideration of the main research direction in the framework, three strategies for implementing multi-scale representation of geospatial vector data are described, with three evaluation methods classified and elaborated. Finally, the probable future research in multi-scale representation of geospatial vector data is prospected.
{"title":"A Conceptual Framework for Multi-Scale Representation of Geospatial Vector Data","authors":"Zhenkai Yang, Huping Cui, Fei Yang","doi":"10.1109/ieeeconf54055.2021.9687653","DOIUrl":"https://doi.org/10.1109/ieeeconf54055.2021.9687653","url":null,"abstract":"Scale is one of the most basic and complex research topics in the field of geographic information science. In this paper, the relation and distinction among scale, scale transformation and multi-scale representation are analyzed firstly. A framework of multi-scale representation implementation methods of geospatial vector data is proposed from the perspectives of dimension, the relation between scenario and its scale, and the process steps. In consideration of the main research direction in the framework, three strategies for implementing multi-scale representation of geospatial vector data are described, with three evaluation methods classified and elaborated. Finally, the probable future research in multi-scale representation of geospatial vector data is prospected.","PeriodicalId":171165,"journal":{"name":"2021 28th International Conference on Geoinformatics","volume":"221 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128188063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-03DOI: 10.1109/ieeeconf54055.2021.9687664
Juping Wu, Dashuai Gao, Yujun Pan
Land use is attracting increasing amounts of attention in today's society. Taking the central Yunnan city cluster as an example, in this study, a quantitative method was used to study the evolution of land use and its spatial-temporal patterns. The results show that (1) in general, from 2000 to 2018, the area of construction land increased significantly, while the area of cultivated land and grassland decreased dramatically, and the area of woodland decreased slightly. In recent years, the water area increased, but the growth rate was slow and unstable, exhibiting a spiral growth trend. (2) From the perspective of land-use change, the overall rate of the land-use change in the study area was variable. For example, the rate of change of construction land was relatively fast compared with those of other land-use types. The rates of change of the forest area and water area were relatively slow. The drastic spatial changes in land use were mainly concentrated in the cultivated land, grassland, and construction land. The four types of land use experienced significant mutual transformations, among them, grassland, cultivated land, woodland, and construction land experienced the most significant transformations. (3) From the perspective of the evolution of the spatiotemporal pattern, the rate of change of the spatial patterns of all of the land-use types in the central Yunnan urban agglomeration increased, and the areas with drastic spatial changes were mainly concentrated in the grassland, arable land, and woodland. The construction land expanded in the northeast and southeast directions, which was related to the urbanization process and the regional economic development center of the central Yunnan urban agglomeration.
{"title":"Land use and spatiotemporal pattern evolution of a mountain city agglomeration: A case study of the urban agglomeration in Dianzhong (central Yunnan), southwestern China","authors":"Juping Wu, Dashuai Gao, Yujun Pan","doi":"10.1109/ieeeconf54055.2021.9687664","DOIUrl":"https://doi.org/10.1109/ieeeconf54055.2021.9687664","url":null,"abstract":"Land use is attracting increasing amounts of attention in today's society. Taking the central Yunnan city cluster as an example, in this study, a quantitative method was used to study the evolution of land use and its spatial-temporal patterns. The results show that (1) in general, from 2000 to 2018, the area of construction land increased significantly, while the area of cultivated land and grassland decreased dramatically, and the area of woodland decreased slightly. In recent years, the water area increased, but the growth rate was slow and unstable, exhibiting a spiral growth trend. (2) From the perspective of land-use change, the overall rate of the land-use change in the study area was variable. For example, the rate of change of construction land was relatively fast compared with those of other land-use types. The rates of change of the forest area and water area were relatively slow. The drastic spatial changes in land use were mainly concentrated in the cultivated land, grassland, and construction land. The four types of land use experienced significant mutual transformations, among them, grassland, cultivated land, woodland, and construction land experienced the most significant transformations. (3) From the perspective of the evolution of the spatiotemporal pattern, the rate of change of the spatial patterns of all of the land-use types in the central Yunnan urban agglomeration increased, and the areas with drastic spatial changes were mainly concentrated in the grassland, arable land, and woodland. The construction land expanded in the northeast and southeast directions, which was related to the urbanization process and the regional economic development center of the central Yunnan urban agglomeration.","PeriodicalId":171165,"journal":{"name":"2021 28th International Conference on Geoinformatics","volume":"483 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116389190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-03DOI: 10.1109/ieeeconf54055.2021.9687640
K. Peng, Weiguo Jiang, Yue Deng
Land use and land cover (LUCC) changes are regarded as the most prominent influence of human activity on the environment. In this paper, a simulation algorithm of land use was developed by combining the logistic regression, Markov model, and CLUE-S model. Based on the observed land use maps and environment dataset, the integrated model was employed to predict the spatial distribution maps of land use from 2015 to 2035 in Wuhan city. The results show that: (1) the simulated maps have good consistency with the observed maps. The accuracy of simulation results exhibit decreased from 2000 to 2015, but the integrated model still achieved acceptable accuracy in 2015, with OA of 78.73% and Kappa of 0.68. (2) During 2015–2040, the built-up area is expanding obviously, most of the expansion area distribute in the center of Wuhan city. The artificial water and cropland tend to decrease and the area of natural wetland and green land remain roughly unchangedfrom 2015 to 2035.
{"title":"Simulating urban land-use changes by incorporating logistic regression and CLUE-S model: a case study of Wuhan city","authors":"K. Peng, Weiguo Jiang, Yue Deng","doi":"10.1109/ieeeconf54055.2021.9687640","DOIUrl":"https://doi.org/10.1109/ieeeconf54055.2021.9687640","url":null,"abstract":"Land use and land cover (LUCC) changes are regarded as the most prominent influence of human activity on the environment. In this paper, a simulation algorithm of land use was developed by combining the logistic regression, Markov model, and CLUE-S model. Based on the observed land use maps and environment dataset, the integrated model was employed to predict the spatial distribution maps of land use from 2015 to 2035 in Wuhan city. The results show that: (1) the simulated maps have good consistency with the observed maps. The accuracy of simulation results exhibit decreased from 2000 to 2015, but the integrated model still achieved acceptable accuracy in 2015, with OA of 78.73% and Kappa of 0.68. (2) During 2015–2040, the built-up area is expanding obviously, most of the expansion area distribute in the center of Wuhan city. The artificial water and cropland tend to decrease and the area of natural wetland and green land remain roughly unchangedfrom 2015 to 2035.","PeriodicalId":171165,"journal":{"name":"2021 28th International Conference on Geoinformatics","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116955441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-03DOI: 10.1109/ieeeconf54055.2021.9687642
He Zheng, Bo Wu, Hui Lin
Great efforts have been made to evaluate the residential environment under the urban expansion, while residential visual exposure relating to privacy is rarely involved. This paper introduces a quantitative indicator, namely, the Potential Visual Exposure Index (PVEI), to assess visual privacy by measuring the damage of potential visual incursion from public spaces and neighborhoods in high-density residences. To validate the proposed PVEI, a case study with a neighborhood located at the center of Kowloon, Hong Kong, was evaluated. Moreover, the PVEI change of each residential opening was further detected and calculated by considering a newly built dwelling. The results were under the common-sense notion that lower floors are subjected to poor visual privacy, and privacy is relatively well-preserved in upper floors in a building. However, residents of middle floors may suffer the worst circumstances concerning visual privacy. With the involvement of the newly built dwelling, significant PVEI changes can be found on the north of the neighborhood, where the newly built dwelling is located. The PVEI can be a useful indicator to assess visual privacy for optimal control of new buildings in the early design stage.
{"title":"Assessment of Visual Privacy and Its Change in Dense Urban Environments","authors":"He Zheng, Bo Wu, Hui Lin","doi":"10.1109/ieeeconf54055.2021.9687642","DOIUrl":"https://doi.org/10.1109/ieeeconf54055.2021.9687642","url":null,"abstract":"Great efforts have been made to evaluate the residential environment under the urban expansion, while residential visual exposure relating to privacy is rarely involved. This paper introduces a quantitative indicator, namely, the Potential Visual Exposure Index (PVEI), to assess visual privacy by measuring the damage of potential visual incursion from public spaces and neighborhoods in high-density residences. To validate the proposed PVEI, a case study with a neighborhood located at the center of Kowloon, Hong Kong, was evaluated. Moreover, the PVEI change of each residential opening was further detected and calculated by considering a newly built dwelling. The results were under the common-sense notion that lower floors are subjected to poor visual privacy, and privacy is relatively well-preserved in upper floors in a building. However, residents of middle floors may suffer the worst circumstances concerning visual privacy. With the involvement of the newly built dwelling, significant PVEI changes can be found on the north of the neighborhood, where the newly built dwelling is located. The PVEI can be a useful indicator to assess visual privacy for optimal control of new buildings in the early design stage.","PeriodicalId":171165,"journal":{"name":"2021 28th International Conference on Geoinformatics","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128593770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-03DOI: 10.1109/ieeeconf54055.2021.9687508
Wenhua Guo, Wenchao Liu, Yuhan Zhang, Naping Wang
Human-land Interaction has remained as the core of geographical study for long and is regarded as the significant base of the progressing territorial space planning in China. The utilization of multi-source data to represent the spatial distribution and spatial-temporal movement of human beings so as to build a relationship model between human and land factors is of great significance to optimize the spatial pattern of land, rational allocation and efficient utilization of natural resources. In this essay, the supply of urban construction land and population data of various types in China in the past 10 years is systematically reviewed, and the spatio-temporal coupling relationship between human and land, such as the man-land relationship index and the strength of inter-city connection, is calculated, which promotes the construction of analysis methods and theoretical conclusion on Human-land interaction under the new data environment, effectively serving the compilation and implementation supervision of territorial space planning.
{"title":"An Analysis on Spatio-temporal Evolution of Human-land Interaction in China Based on Big Data","authors":"Wenhua Guo, Wenchao Liu, Yuhan Zhang, Naping Wang","doi":"10.1109/ieeeconf54055.2021.9687508","DOIUrl":"https://doi.org/10.1109/ieeeconf54055.2021.9687508","url":null,"abstract":"Human-land Interaction has remained as the core of geographical study for long and is regarded as the significant base of the progressing territorial space planning in China. The utilization of multi-source data to represent the spatial distribution and spatial-temporal movement of human beings so as to build a relationship model between human and land factors is of great significance to optimize the spatial pattern of land, rational allocation and efficient utilization of natural resources. In this essay, the supply of urban construction land and population data of various types in China in the past 10 years is systematically reviewed, and the spatio-temporal coupling relationship between human and land, such as the man-land relationship index and the strength of inter-city connection, is calculated, which promotes the construction of analysis methods and theoretical conclusion on Human-land interaction under the new data environment, effectively serving the compilation and implementation supervision of territorial space planning.","PeriodicalId":171165,"journal":{"name":"2021 28th International Conference on Geoinformatics","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121097788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-03DOI: 10.1109/ieeeconf54055.2021.9687654
Xiaoyu Sun, T. Lv, Yi Gao
Intense development has been occurring along the shores of the Bohai Sea that threatens to increase local levels of pollution. A need existed to extract the coastline data of the Bohai Sea from remote sensing images to document changes in the coastline. Landsat imagery from 2000 and 2016 was used to analyze the temporal-spatial changes along this coastline. The results showed that the total length of the coastline increased by 1 111.5 km (40%) during this period. In addition, development has caused the conversion of natural coastline to man-made coastline, and the length of total man-made coastline increased by 1 532.9 km. Among three bays (Bohai, Liaodong, and Laizhou bay), Bohai Bay experienced the greatest increase in the coastline. The lengths of total coastline and the related man-made coastline both doubled a change that also involved a drastic reduction in sea area. The total area of the Bohai Sea declined by 2 360 km2 from 2000 to 2016 to 75 200 km2. Bohai and Laizhou bays both experienced a nearly 10% reduction in their respective original areas. Specifically, Bohai Bay lost 1 165 km2 of area, accounting for half of the total reduction in the area of the Bohai Sea during this time period. More than 95% of lost sea area was converted to enclosures for aquaculture or used for the construction of harbors, docks, and industrial parks. The reduction of sea area and changes in the hydrodynamic environment will affect the environmental carrying capacity of the Bohai Sea.
{"title":"Changes in the Coastline and a Reduction in Area of the Bohai Sea from 2000 to 2016","authors":"Xiaoyu Sun, T. Lv, Yi Gao","doi":"10.1109/ieeeconf54055.2021.9687654","DOIUrl":"https://doi.org/10.1109/ieeeconf54055.2021.9687654","url":null,"abstract":"Intense development has been occurring along the shores of the Bohai Sea that threatens to increase local levels of pollution. A need existed to extract the coastline data of the Bohai Sea from remote sensing images to document changes in the coastline. Landsat imagery from 2000 and 2016 was used to analyze the temporal-spatial changes along this coastline. The results showed that the total length of the coastline increased by 1 111.5 km (40%) during this period. In addition, development has caused the conversion of natural coastline to man-made coastline, and the length of total man-made coastline increased by 1 532.9 km. Among three bays (Bohai, Liaodong, and Laizhou bay), Bohai Bay experienced the greatest increase in the coastline. The lengths of total coastline and the related man-made coastline both doubled a change that also involved a drastic reduction in sea area. The total area of the Bohai Sea declined by 2 360 km2 from 2000 to 2016 to 75 200 km2. Bohai and Laizhou bays both experienced a nearly 10% reduction in their respective original areas. Specifically, Bohai Bay lost 1 165 km2 of area, accounting for half of the total reduction in the area of the Bohai Sea during this time period. More than 95% of lost sea area was converted to enclosures for aquaculture or used for the construction of harbors, docks, and industrial parks. The reduction of sea area and changes in the hydrodynamic environment will affect the environmental carrying capacity of the Bohai Sea.","PeriodicalId":171165,"journal":{"name":"2021 28th International Conference on Geoinformatics","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124409029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-03DOI: 10.1109/ieeeconf54055.2021.9687665
Jing Yu, Hang Yang, Haotian Sun, Yuan-yuan Wang, Kun Chen, Yang Yu, Yu You
In order to solve the problem that the image pre-slice method cannot meet the needs of disaster emergency management and instant release, this paper designs a method for remote sensing image segmentation optimization and rapid release based on Cloud Optimized GeoTIFF (COG) technology and establishes an image real-time release system to achieve multi-band remote sensing image processing, rapid release in the background and front-end combination application. The experiment shows that the rapid release technology of remote sensing image based on COG technology shortens the access time of image data through the efficient data stream transmission, and realizes the large-scale rapid release, which can meet the needs of emergency release of remote sensing image.
{"title":"Realtime Remote Sensing Image Publishing System Based on COG Technology","authors":"Jing Yu, Hang Yang, Haotian Sun, Yuan-yuan Wang, Kun Chen, Yang Yu, Yu You","doi":"10.1109/ieeeconf54055.2021.9687665","DOIUrl":"https://doi.org/10.1109/ieeeconf54055.2021.9687665","url":null,"abstract":"In order to solve the problem that the image pre-slice method cannot meet the needs of disaster emergency management and instant release, this paper designs a method for remote sensing image segmentation optimization and rapid release based on Cloud Optimized GeoTIFF (COG) technology and establishes an image real-time release system to achieve multi-band remote sensing image processing, rapid release in the background and front-end combination application. The experiment shows that the rapid release technology of remote sensing image based on COG technology shortens the access time of image data through the efficient data stream transmission, and realizes the large-scale rapid release, which can meet the needs of emergency release of remote sensing image.","PeriodicalId":171165,"journal":{"name":"2021 28th International Conference on Geoinformatics","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117175666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-03DOI: 10.1109/ieeeconf54055.2021.9687512
Shalika Dharmasthala, Qian Sun, N. Langenheim
Cities should be built for people and planned for potential changes with high efficiency. Well-distributed streetscapes in neighborhoods are proved to bring co-benefits of health, active transport, and social equity. This paper provides an innovative framework to interrogate the spatial and social configurations of streetscapes for the City of Greater Bendigo, Australia. The primary research goal is to investigate whether those high distributed streetscapes are also located in the high social interaction streets. The social configuration of streetscapes refers to the degree of integration, connectivity and visibility within a street network and the spatial configuration of streetscapes refers to the percentage of sky, building and trees at any point in the streetscape. The social configurations of streetscapes along street network were measured using space syntax tools and GIS. Space syntax parameters (degree of integration, connectivity and visibility) representing the social interaction level of streets were integrated into the spatial distribution of streetscapes (sky, building, and trees) for analysis. Results showed that Bendigo locality area poses the highest social integration and connectivity. High localized connectivity was observed in the townships of Heathcote and Marong, while recommendation can be made for Heathcote and White Hill area to improve the street network integration and connectivity so as to promote neighborhood liveability. The results also showed that the percentage of older population and population density were positively associated with social connectivity, indicating higher settlements in well-connected townships. Findings from this research can contribute to design more sustainable and efficient streetscapes through our scalable methodological framework.
{"title":"Are high distributed streetscapes also located in the high social interaction streets? A Space syntax approach on street liveability assessment","authors":"Shalika Dharmasthala, Qian Sun, N. Langenheim","doi":"10.1109/ieeeconf54055.2021.9687512","DOIUrl":"https://doi.org/10.1109/ieeeconf54055.2021.9687512","url":null,"abstract":"Cities should be built for people and planned for potential changes with high efficiency. Well-distributed streetscapes in neighborhoods are proved to bring co-benefits of health, active transport, and social equity. This paper provides an innovative framework to interrogate the spatial and social configurations of streetscapes for the City of Greater Bendigo, Australia. The primary research goal is to investigate whether those high distributed streetscapes are also located in the high social interaction streets. The social configuration of streetscapes refers to the degree of integration, connectivity and visibility within a street network and the spatial configuration of streetscapes refers to the percentage of sky, building and trees at any point in the streetscape. The social configurations of streetscapes along street network were measured using space syntax tools and GIS. Space syntax parameters (degree of integration, connectivity and visibility) representing the social interaction level of streets were integrated into the spatial distribution of streetscapes (sky, building, and trees) for analysis. Results showed that Bendigo locality area poses the highest social integration and connectivity. High localized connectivity was observed in the townships of Heathcote and Marong, while recommendation can be made for Heathcote and White Hill area to improve the street network integration and connectivity so as to promote neighborhood liveability. The results also showed that the percentage of older population and population density were positively associated with social connectivity, indicating higher settlements in well-connected townships. Findings from this research can contribute to design more sustainable and efficient streetscapes through our scalable methodological framework.","PeriodicalId":171165,"journal":{"name":"2021 28th International Conference on Geoinformatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131169301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-03DOI: 10.1109/ieeeconf54055.2021.9687644
Yanling Yang, Jinsongdi Yu, R. Tong
Large spatio-temporal Earth observation (EO) data are organized as multidimensional data cubes, which is a new paradigm for users to interact with EO data. For the multidimensional data cubes, geospatial dimensions, denoting by latitude and longitude, are indispensable. However, time series, climate and ocean data, etc. also require time axes and non-spatio-temporal axes in the n-dimensional structure. Therefore, at this level, a major challenge in data cubes interoperability concerns the harmonization of domain variables among different data cube implementations. Harmonization of data cubes from data with significantly different spatio-temporal reference systems always requires domain variable knowledge base. We propose to identify domain variables via a standardized resolver approach. In this way, cubes interoperability of different domain variables can be referred to and interoperated across multidisciplinary applications.
{"title":"Research on Domain Variable Identification among Different Data Cubes","authors":"Yanling Yang, Jinsongdi Yu, R. Tong","doi":"10.1109/ieeeconf54055.2021.9687644","DOIUrl":"https://doi.org/10.1109/ieeeconf54055.2021.9687644","url":null,"abstract":"Large spatio-temporal Earth observation (EO) data are organized as multidimensional data cubes, which is a new paradigm for users to interact with EO data. For the multidimensional data cubes, geospatial dimensions, denoting by latitude and longitude, are indispensable. However, time series, climate and ocean data, etc. also require time axes and non-spatio-temporal axes in the n-dimensional structure. Therefore, at this level, a major challenge in data cubes interoperability concerns the harmonization of domain variables among different data cube implementations. Harmonization of data cubes from data with significantly different spatio-temporal reference systems always requires domain variable knowledge base. We propose to identify domain variables via a standardized resolver approach. In this way, cubes interoperability of different domain variables can be referred to and interoperated across multidisciplinary applications.","PeriodicalId":171165,"journal":{"name":"2021 28th International Conference on Geoinformatics","volume":"173 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114061421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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