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作 者:沈照庆[1] 苏志恒 SHEN Zhao-qing;SU Zhi-heng(School of Highway,Chang an University,Xi'an 710064,China)
机构地区:[1]长安大学公路学院,西安710064
出 处:《科学技术与工程》2023年第34期14806-14814,共9页Science Technology and Engineering
基 金:国家自然科学基金青年科学基金(41801387);陕西省高教学会重点项目(XGH21008);苍穹数码—长安大学2020年第二批产学合作协同育人项目—《现代道路测设新技术》示范课程建设。
摘 要:为了提升绿视率测算精度、找出影响绿视率大小的因素和提升道路绿视率的措施,以淄博市主干道作为研究对象,以绿视率作为道路绿化效果的评价指标。首次利用遗传算法筛选清晰、无遮挡的街景图片,使用MATLAB软件计算绿视率,通过ArcMap软件,对淄博市道路绿化效果量化评价。研究结果表明,淄博市绿视率平均值达到20.483%。低水平和一般水平的采样点主要是路面宽度较宽和绿化模式搭配不合理导致;建立绿化模式与道路类型的关系表,疏林灌木式对绿视率的提升显著,更加适合城市道路绿化。车道数的绿视率对比情况为:双向双车道>双向三车道>双向单车道>双向四车道。道路设置非机动车道与机动车道的隔离绿化带,绿化带采用疏林灌木式,将对提升绿视率效果显著。In order to improve the measurement accuracy of green view index,find out the factors affecting green view index and the measures to improve road green vision rate,the main road of Zibo City was taken as the research object,and the green view index was taken as the evaluation index of road greening effect.For the first time,genetic algorithm was used to screen clear and unshielded street view pictures,MATLAB software was used to calculate the green view index and ArcMap software was used to quantify the effect of road greening in Zibo City.The results show that the average green view index in Zibo City reaches 20.483%.The sampling points of low level and general level are mainly caused by wide pavement width and unreasonable collocation of green patterns.The relationship table between afforestation pattern and road type is established.It is found that the open forest shrub pattern significantly improves the green view index and is more suitable for urban road greening.The comparison of green rate of lane number is:two-way two-lane>two-way three-lane>two-way single-lane>two-way four-lane.A green belt separating non-motor lane and motor lane is set on the road.The green belt adopts the type of sparse forest and shrub,which will significantly improve the green view index.
关 键 词:街景数据 绿视率 遗传算法 自然间断点分级法 城市道路
分 类 号:U417.9[交通运输工程—道路与铁道工程]
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