基于开源地理空间数据和QGIS软件的行人公共服务可达性评价

Nova Geodesia Pub Date : 2022-06-23 DOI:10.55779/ng2242
Alba Kucukali, Rejdi Pjeternikaj, Egin Zeka, Artan Hysa
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引用次数: 0

摘要

本研究提供了一种快速的方法,利用现有的开源地理空间数据来评估关键公共服务/设施的行人可达性。在这个阶段,我们正在以阿尔巴尼亚首都地拉那为例测试该方法。然而,这种方法在世界其他大都市地区是可复制的。开放街道地图(OSM)数据和阿尔巴尼亚国家地理空间信息管理局(ASIG geoportal)的参考层被用作研究的原材料。而地理空间的可视化、细化和分析则依赖于QGIS软件和相关插件的使用。QNEAT是用于生成等时线的插件,该等时线表示参考现有城市交通/流通网络的某种服务的空间覆盖范围。该插件允许定义不同的距离范围。我们的研究结果表明,某些公共服务以不同的步行距离梯度服务于不同数量的建筑存量。例如,超过25%的现有建筑在250米的步行距离内设有通往咖啡馆和药店的行人通道。在步行距离1公里的同一建筑中,几乎90%的建筑都有相同的服务。然而,像银行这样的服务,只有12.6%的现有建筑在步行距离为250米的范围内,67%的建筑在步行距离为1公里的范围内。可用地理空间数据的准确性对结果的可靠性至关重要。最后,我们强调了基于gis的城市分析方法在城市新公共服务规划过程中的重要性和实用性。
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Evaluating the pedestrian accessibility to public services using open-source geospatial data and QGIS software
This study brings a rapid method to utilize the available open-source geospatial data in assessing the pedestrian accessibility to key public services/facilities. At this stage, we are testing the method in the case of Tirana, the capital city of Albania. Yet, the method is reproducible to other metropolitan areas around the world. Open street map (OSM) data and reference layers from Albanian National authority for geospatial information (ASIG geoportal) have been used as the raw material of the study. While the geospatial visualization, refinement, and analysis rely on the usage of QGIS software and the related plugins. QNEAT is the plugin that was used to generate the isochrones which indicate the spatial coverage of a certain service referring to the existing urban transportation/circulation network. The plugin enables the definition of different distance ranges. Our results show that certain public services serve to various amounts of the building stock at a gradient of walking distances. For example, more than 25% of the existing building stock has pedestrian access to caffes and pharmacies within a walking distance of 250 m. The same services serve to almost 90% of the same building stock within 1 km walking distance. However, services like banks are accessible only by 12.6% of the existing buildings within a walking distance of 250 m, and 67% at 1 km walking distance. The accuracy of the available geospatial data resulted to be vital for the reliability of the results. We conclude by highlighting the importance and utility of GIS-based methods of urban analysis in the processes of planning new public services in the city.
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