[1] 毛应萍,于丰泉,孙烨垚,等.道路交通事故数据挖掘分析技术及应用研究[J].交通与运输,2020,36(增刊2):106-111.
MAO Yingping, YU Fengquan, SUN Yeyao, et al. Road traffic accident data mining and application [J]. Traffic & Transportation, 2020, 36(Sup 2): 106-111.
[2] 孙烨垚,万文佳,朱辛格,等.高速公路交通事故成因分析及预防[J].交通与运输,2020,36(增刊2):112-114,117.
SUN Yeyao, WAN Wenjia, ZHU Xinge, et al. Cause analysis of traffic accident on expressway and preventive measures [J]. Traffic & Transportation, 2020, 36(Sup 2): 112-114, 117.
[3] 刘尧,王颖志,王立君,等.交通事故的时空热点分析[J].浙江大学学报(理学版),2020,47(1):52-59.
LIU Yao, WANG Yingzhi, WANG Lijun, et al. Spatial-temporal hotspots analysis on traffic accidents[J]. Journal of Zhejiang University (Science Edition), 2020, 47 (1): 52-59.
[4] 陆化普,罗圣西,李瑞敏.基于GIS分析的深圳市道路交通事故空间分布特征研究[J].中国公路学报,2019,32(8):156-164.
LU Huapu, LUO Shengxi, LI Ruimin. GIS-based spatial patterns analysis of urban road traffic crashes in Shenzhen [J]. China Journal of Highway and Transport, 2019, 32(8): 156-164.
[5] 彭璇,方艾芬,裘晨璐,等.公路交通事故可视化分析关键技术研究[J].中国公共安全(学术版),2019(2):52-56.
PENG Xuan, FANG Aifen, QIU Chenlu, et al. Research on key technologies of highway traffic accidents visual analysis [J]. China Public Security (Academy Edition), 2019(2): 52-56.
[6] 王丽雅,李晓雯.基于GIS的城市道路交通事故黑点鉴别[J].黑龙江交通科技,2019,42(11):213-215.
WANG Yali, LI Xiaowen. Black point identification of urban road traffic accidents based on GIS [J]. Communications Science and Technology Heilongjiang, 2019, 42(11): 213-215.
[7] 熊丽. 基于ArcGIS的交通事故热区鉴别与热区成因分析方法研究[D].西安:长安大学,2018.
XIONG Li. Research on Identification and Causality Analysis Methods of Traffic Accident Hot Zones Based on ArcGIS[D]. Xian: Changan University, 2018.
[8] 张光南,钟俏婷,杨清玄.交通违法事故时空分布特征及其影响因素——以广州市为例[J]. 交通运输系统工程与信息,2019,19(3):208-214.
ZHANG Guangnan, ZHONG Qiaoting, YANG Qingxuan. Temporal-spatial characteristics and influencing factors of at-fault traffic crashes: A case study in Guangzhou [J]. Journal of Transportation Systems Engineering and Information Technology, 2019, 19(3): 208-214.
[9] AL-OMARI A, SHATNAWI N, KHEDAYWI T, et al. Prediction of traffic accidents hot spots using fuzzy logic and GIS [J]. Applied Geomatics, 2020, 12(2): 149-161.
[10] HAYIDSO T H, GEMEDA D O, ABRAHAM A M. Identifying road traffic accidents hotspots areas using GIS in Ethiopia: A case study of Hosanna Town [J]. Transport and Telecommunication, 2019, 20(2): 123-131.
[11] BOLLA M E, DJAHI B S. The development of road databases and analysis of traffic accident-prone section (blacksite) based on Geographic Information System (GIS) [J]. IOP Conference Series: Materials Science and Engineering,2018,403: 012062.
[12] SHAFABAKHSH G A, FAMILI A, BAHADORI M S. GIS-based spatial analysis of urban traffic accidents: Case study in Mashhad, Iran [J]. Journal of Traffic and Transportation Engineering (English Edition), 2017, 4(3): 290-299.
[13] 毋亭,汤志伟. 基于POI数据的城市功能区划分和识别——以泉州市主城区为例[J]. 辽宁大学学报(自然科学版),2021,48(1):28-37.
WU Ting, TANG Zhiwei. Division and identification of urban functional areas based on POI-take main urban area of Quanzhou as an example [J]. Journal of Liaoning University (Natural Science Edition), 2021,48(1):28-37.
[14] 杨逍遥,王建军,李国栋,等.基于GWR模型的共享单车空间分布影响因素分析[J].交通运输研究,2021,7(1):81-94.
YANG Xiaoyao, WANG Jianjun, LI Guodong, et al. Factors impacting spatial distribution of bike sharing based on GWR model [J]. Transport Research, 2021, 7(1): 81-94.
[15] 王海.基于空间分析技术的交通事故多发点鉴别及成因分析[D].北京:清华大学,2014.
WANG Hai.Based on Spatial Analysis Technology of Traffic Accident Black Point Identification and Cause Analysis [D]. Beijing: Tsinghua University,2014. |