Accessibility of green spaces in the conditions of a compact city: case study of Kyiv

P. Shyshchenko, O. Havrylenko, Yevhen Tsyhanok
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引用次数: 2

Abstract

Purpose. The goal of the study is to develop an algorithm for assessing urban green space (UGS) accessibility in conditions of a compact city with high-density development by the example of Kyiv. Methodology. The research technique provides for spatial and quantitative analysis of UGS distribution within city limits by using OpenStreetMap, Google Map geospatial data and the QGIS software. The pedestrian accessibility to greenery is determined as the distance walked from the residential building to the nearest green space. If the average speed of walking of all age groups is taken to be 3 km/hr, then 10 minutes are needed to cover a distance of 500 m, and 20 minutes, for 1,000 m. To account for curved paths and obstacles (buildings, fences, motorways), UGS were surrounded with buffer areas 300 m and 700 m wide. This equals the walking distances of 500 and 1,000 m respectively. Results. We plotted on the map all available UGS within Kyiv limits, determined their total area and found a very uneven spatial UGS distribution in different city districts. Then we found the average provision of each Kyiv resident with greenery of all kinds, including not only parks, mini parks, and urban forests, but also cemeteries, flowerbeds and grass lawns, separate street bushes and trees, and roadside hedgerows. Based on the data of the number of buildings and the population density within Kyiv’s residential development area, we calculated the actual provision of Kyiv residents with UGS of all kinds, and with greenery suitable for daily recreation. In so doing, we found that the provision of UGS, where short-term recreation is possible, is significantly smaller in area per head of population as compared to an identical indicator calculated for greenery of all kinds. This is confirmed by the built map charts. Using the buffer approach, we determined the shortest distances to be covered to reach a UGS nearest to a residential building. Independently, we measured pedestrian accessibility to any green cover in Kyiv and UGS accessibility for public use, which are suitable for daily recreation in different Kyiv micro districts. The findings yielded a significant difference in these indicators. According to the calculations of UGS accessibility of all kinds, Kyiv really looks like a “green” city where almost in all the developed territories the distance to the nearest UGS is within 1,000 m. However, an assessment of the accessibility to greenery suitable for short-term daily recreation is indicative of a deficiency of UGS in at least eleven residential complexes in the city. All the locations with different UGS accessibility are also plotted on relevant map charts. Scientific novelty. The study has shown that only 45.4% of Kyiv residents are provided with high pedestrian accessibility within a distance of 500 m to UGS for daily recreation. The residents of different age and social groups who, within a 1-km radius, have no access at all to any recreation site make up 15.5% of Kyiv residents. Substantial disproportions in UGS accessibility were also found in different administrative districts and residential complexes. This is indicative that the management of the entire city’s green infrastructure is not perfect. Practical importance. The algorithm for assessing green space accessibility that was developed and tested for Kyiv can be used for any compact city. This will help city planners to identify accurately the micro districts and other locations requiring priority planting of greenery.
紧凑型城市条件下绿色空间的可达性:基辅案例研究
目的。本研究的目的是以基辅为例,开发一种在高密度发展的紧凑型城市条件下评估城市绿地可达性的算法。该研究技术通过使用OpenStreetMap、Google Map地理空间数据和QGIS软件对城市范围内的UGS分布进行空间和定量分析。行人对绿色植物的可达性取决于从住宅楼到最近的绿色空间的步行距离。如果所有年龄组的平均步行速度为3公里/小时,则走500米需要10分钟,走1000米需要20分钟。考虑到弯曲的路径和障碍物(建筑物、围栏、高速公路),UGS周围有300米和700米宽的缓冲区。这相当于步行距离分别为500米和1000米。我们在地图上绘制了基辅范围内所有可用的UGS,确定了它们的总面积,并发现不同城市区域的UGS空间分布非常不均匀。然后,我们发现每个基辅居民拥有的各种绿化的平均数量,不仅包括公园、迷你公园和城市森林,还包括墓地、花坛和草坪、独立的街道灌木和树木以及路边的树篱。根据基辅住宅开发区内的建筑数量和人口密度数据,我们计算了基辅居民拥有各种UGS的实际供应,以及适合日常娱乐的绿化。在这样做的过程中,我们发现,与所有种类的绿化计算的相同指标相比,在可能的短期娱乐中,UGS的人均面积要小得多。建成的地图图表证实了这一点。使用缓冲方法,我们确定了到达离住宅楼最近的UGS的最短距离。独立地,我们测量了基辅任何绿色覆盖的行人可达性和UGS公共用途的可达性,这些可达性适用于基辅不同微区的日常娱乐活动。研究结果在这些指标上产生了显著差异。根据各种UGS可达性的计算,基辅看起来真的像一个“绿色”城市,几乎在所有发达地区,到最近的UGS的距离都在1000米以内。然而,对适合短期日常娱乐的绿化可达性的评估表明,该市至少有11个住宅区缺乏UGS。所有具有不同UGS可达性的地点也绘制在相关的地图图表上。科学的新奇。该研究表明,只有45.4%的基辅居民在距离UGS 500米的范围内提供了高步行可达性,用于日常娱乐。在1公里半径范围内没有任何娱乐场所的不同年龄和社会群体的居民占基辅居民的15.5%。在不同的行政区域和住宅区,UGS可达性也存在明显的不均衡。这说明整个城市的绿色基础设施管理并不完善。实际的重要性。为基辅开发和测试的评估绿色空间可达性的算法可以用于任何紧凑型城市。这将有助于城市规划者准确地确定需要优先种植绿色植物的微区和其他地点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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