Since creation of spatial data is a costly and time consuming process, researchers, in this domain, in most of the cases rely on open source spatial attributes for their specific purpose. Likewise, the present researc...Since creation of spatial data is a costly and time consuming process, researchers, in this domain, in most of the cases rely on open source spatial attributes for their specific purpose. Likewise, the present research aims at mapping landslide susceptibility at the metropolitan area of Chittagong district of Bangladesh utilizing obtainable open source spatial data from various web portals. In this regard, we targeted a study region where rainfall induced landslides reportedly causes causalities as well as property damage each year. In this study, however, we employed multi-criteria evaluation (MCE) technique i.e., heuristic, a knowledge driven approach based on expert opinions from various discipline for landslide susceptibility mapping combining nine causative factors—geomorphology, geology, land use/land cover (LULC), slope, aspect, plan curvature, drainage distance, relative relief and vegetation in geographic information system (GIS) environment. The final susceptibility map was devised into five hazard classes viz., very low, low, moderate, high, and very high, representing 22 km2 (13%), 90 km2 (53%);24 km2 (15%);22 km2 (13%) and 10 km2 (6%) areas respectively. This particular study might be beneficial to the local authorities and other stake-holders, concerned in disaster risk reduction and mitigation activities. Moreover this study can also be advantageous for risk sensitive land use planning in the study area.展开更多
The use of open-source data and tools in disaster exposure mapping is presented in this paper. Disaster exposure is a collection of the element at risk to potential loss. Gampaha divisional secretariat (DS) is a study...The use of open-source data and tools in disaster exposure mapping is presented in this paper. Disaster exposure is a collection of the element at risk to potential loss. Gampaha divisional secretariat (DS) is a study area laid on the lower part of the Attanagalu Oya river basin. As the geospatial tools, OpenStreetMap (OSM), Java OpenStreetMap (JOSM), QGIS, GPS Essentials, and Open Map Kit (OMK) are used. The elements of disaster exposure, including the number of people or types of assets, are surveyed and inventoried using the OSM platforms. Local, national, and international agencies produce and evaluate the data. The study developed spatial data for building footprints of 165,000 households, street lengths of 2300 km, hospital units of 16, and utility units of 2300. This could overcome the main challenges of exposure mapping in the area. The procedure developed in the exposure mapping can be used in a data-sparse environment. Exposure mapping is generally used to estimate the impact of hazards or disasters, which are essential in effective disaster management. How are there still remaining challenges in disaster exposure mapping such as less awareness about the mapping procedure, lack of government support, internet access, hardware, and inability to understand the value of exposure mapping?展开更多
为了解决来自非专业用户协同编辑的众源地理空间数据质量问题,提出了一种众源地理空间数据质量评价技术框架。针对众源开放街道地图(open street map,OSM)数据特点,选取数据完整性、属性信息准确性和定位精度三方面质量要素,提出了面向...为了解决来自非专业用户协同编辑的众源地理空间数据质量问题,提出了一种众源地理空间数据质量评价技术框架。针对众源开放街道地图(open street map,OSM)数据特点,选取数据完整性、属性信息准确性和定位精度三方面质量要素,提出了面向众源开放街道地图(OSM)空间数据的质量模型和计算方法。展开更多
为科学合理地评价城市公共交通站点覆盖水平,提高评价方法的准确性和有效性,在分析我国城市公共交通站点覆盖现状和存在问题的基础上,结合基于互联网开放地图平台的路径规划数据,采用以步行实际可达性为主要依据的评价方法对公共交通站...为科学合理地评价城市公共交通站点覆盖水平,提高评价方法的准确性和有效性,在分析我国城市公共交通站点覆盖现状和存在问题的基础上,结合基于互联网开放地图平台的路径规划数据,采用以步行实际可达性为主要依据的评价方法对公共交通站点覆盖水平进行研究分析。结果表明:此方法不但适用于区域公交站点布局评价,还可以聚焦于某一条具体的公交线路、自行车停靠点、P+R(Park and Ride)设施、交通枢纽等交通设施,以及快递服务点、公共厕所等生活服务设施的可达性分析和布局优化。最后,从向内深挖自身潜力、向外争取良好环境两个层面,提出了提升我国城市公共交通覆盖水平的措施建议。展开更多
文摘Since creation of spatial data is a costly and time consuming process, researchers, in this domain, in most of the cases rely on open source spatial attributes for their specific purpose. Likewise, the present research aims at mapping landslide susceptibility at the metropolitan area of Chittagong district of Bangladesh utilizing obtainable open source spatial data from various web portals. In this regard, we targeted a study region where rainfall induced landslides reportedly causes causalities as well as property damage each year. In this study, however, we employed multi-criteria evaluation (MCE) technique i.e., heuristic, a knowledge driven approach based on expert opinions from various discipline for landslide susceptibility mapping combining nine causative factors—geomorphology, geology, land use/land cover (LULC), slope, aspect, plan curvature, drainage distance, relative relief and vegetation in geographic information system (GIS) environment. The final susceptibility map was devised into five hazard classes viz., very low, low, moderate, high, and very high, representing 22 km2 (13%), 90 km2 (53%);24 km2 (15%);22 km2 (13%) and 10 km2 (6%) areas respectively. This particular study might be beneficial to the local authorities and other stake-holders, concerned in disaster risk reduction and mitigation activities. Moreover this study can also be advantageous for risk sensitive land use planning in the study area.
文摘The use of open-source data and tools in disaster exposure mapping is presented in this paper. Disaster exposure is a collection of the element at risk to potential loss. Gampaha divisional secretariat (DS) is a study area laid on the lower part of the Attanagalu Oya river basin. As the geospatial tools, OpenStreetMap (OSM), Java OpenStreetMap (JOSM), QGIS, GPS Essentials, and Open Map Kit (OMK) are used. The elements of disaster exposure, including the number of people or types of assets, are surveyed and inventoried using the OSM platforms. Local, national, and international agencies produce and evaluate the data. The study developed spatial data for building footprints of 165,000 households, street lengths of 2300 km, hospital units of 16, and utility units of 2300. This could overcome the main challenges of exposure mapping in the area. The procedure developed in the exposure mapping can be used in a data-sparse environment. Exposure mapping is generally used to estimate the impact of hazards or disasters, which are essential in effective disaster management. How are there still remaining challenges in disaster exposure mapping such as less awareness about the mapping procedure, lack of government support, internet access, hardware, and inability to understand the value of exposure mapping?
文摘为科学合理地评价城市公共交通站点覆盖水平,提高评价方法的准确性和有效性,在分析我国城市公共交通站点覆盖现状和存在问题的基础上,结合基于互联网开放地图平台的路径规划数据,采用以步行实际可达性为主要依据的评价方法对公共交通站点覆盖水平进行研究分析。结果表明:此方法不但适用于区域公交站点布局评价,还可以聚焦于某一条具体的公交线路、自行车停靠点、P+R(Park and Ride)设施、交通枢纽等交通设施,以及快递服务点、公共厕所等生活服务设施的可达性分析和布局优化。最后,从向内深挖自身潜力、向外争取良好环境两个层面,提出了提升我国城市公共交通覆盖水平的措施建议。
