Network space analysis–based identification of road traffic accident hotspots: a case study

Zheng, Minxue; Zhu, Liehuang; Zhan, Wang; Zhu, Fuguo; Sun, Zhihao; Li, Lixia

doi:10.1080/13588265.2022.2109446

Cited by 3 publications

(2 citation statements)

References 31 publications

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“…On the basis of qualitative research, quantitative analysis was carried out using the Spatial Analysis tool of ArcGIS software to quantitatively describe the spatial distribution characteristics of nationallevel rural tourism key villages. The standard deviation ellipse is used to measure the direction and range of its spatial distribution, the closest neighbor analysis is used to measure the type of spatial structure of key rural tourism villages, and the kernel density is used to analyze the density of its spatial distribution [26][27].…”

Section: ) Selection Of Research Methodsmentioning

confidence: 99%

Analysis of the path to enhance the quality development of rural tourism with the help of rural revitalization strategy in the context of the Internet

Liu

2023

Applied Mathematics and Nonlinear Sciences

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This paper first determines the research method of rural tourism and the selection of research objects and carries out the corresponding pre-processing operation for the data. Secondly, the spatial distribution characteristics of key villages of rural tourism are analyzed by using the nearest neighbor index, standard deviation ellipse, geographic concentration index and geographic detector so as to understand the development of rural tourism in the five regions of east, west, south, north and central. The spatial clustering structure of key villages in rural tourism is calculated again using the fractal model to explore grid aggregation and correlation of high-quality development in rural tourism. From the spatial distribution characteristics, the nearest neighbor index of the southern region is 0.838, showing an aggregation-random distribution pattern, and the standard deviation ellipse of the southern region is 51.67°. From the spatial clustering structure, the aggregation dimension of the southern region is 0.485, and the correlation dimension of the four regions of east, west, south, north and south is relatively close to that of highway accessibility, for example. Thus, rural tourism in the context of the Internet needs to further strengthen infrastructure construction, enhance the means of training high-quality personnel, build diversified marketing channels, and realize the rural revitalization strategy to boost rural tourism.

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Section: ) Selection Of Research Methodsmentioning

confidence: 99%

Analysis of the path to enhance the quality development of rural tourism with the help of rural revitalization strategy in the context of the Internet

Liu

2023

Applied Mathematics and Nonlinear Sciences

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“…Moreover, a GIS is a potential approach for spatial analysis to determine the accident hotspots. Identifying the locations of highfrequency accidents, or "hotspots", is one of the most crucial tasks in the effort to decrease the number of traffic accidents [25][26][27][28]. The locations of traffic accident hotspots can be determined via the locations of accident clusters [13,29].…”

Section: Introductionmentioning

confidence: 99%

Urban Traffic Accident Features Investigation to Improve Urban Transportation Infrastructure Sustainability by Integrating GIS and Data Mining Techniques

Le,

Tran,

2023

Sustainability

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Urban traffic accidents pose significant challenges to the sustainability of transportation infrastructure not only in Vietnam but also all over the world. To decrease the frequency of accidents, it is crucial to analyze accident data to determine the relationship between accidents and causes, especially for serious accidents. This study suggests an integrated approach using Geographic Information System (GIS) and Data Mining methods to investigate the features of urban traffic accidents in Hanoi, Vietnam aiming to solve these challenges and enhance the safety and efficiency of urban transportation. Firstly, the dataset was segmented into homogenous clusters using the two-step cluster method. Secondly, the correlation between causes and traffic accidents was examined on the overall dataset as well as on each cluster using the association rule mining (ARM) technique. Finally, the location of accident groups and high-frequency sites of accidents (hotspots) were determined by using GIS techniques. As a result, a five-cluster model was created, which corresponded to five common accident groupings in Hanoi. Moreover, the results of the study also identified the types of accidents, the main causes, the time, and the surrounding areas corresponding to each accident group. In detail, cluster 5 depicted accidents on streets, provincial, and national roads caused by motorbikes making up the highest percentage within the groups, accounting for 29.2%. Speeding and driving in the wrong lane in the afternoon and at night were the main causes in this cluster (Cf ≥ 0.9 and Lt ≥ 1.22). Next, cluster 2 had the second-highest proportion. Cluster 2 presented accidents between a truck/car and a motorbike on national and provincial roads, accounting for 27.8%. Cluster 1 presented accidents between a truck/car and a motorbike on local streets, accounting for 22%. Cluster 3 illustrated accidents between two motorbikes on the country lanes, accounting for 12.3%. Finally, cluster 4 depicted single-vehicle motorbike crashes, with the lowest rate of 8.8%. More importantly, this study also recommended using repeatability criteria for the same type of accidents or causes to determine the location of hotspots. Also, suggestions for improving traffic infrastructure sustainability were proposed. To our knowledge, this is the first time in which these three methods are applied simultaneously for analyzing traffic accidents.

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Co-location analysis of pedestrian accident attributes for Ankara

Kaygisiz,

Yildiz

2024

International Journal of Injury Control and Safety Promotion

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Network space analysis–based identification of road traffic accident hotspots: a case study

Cited by 3 publications

References 31 publications

Analysis of the path to enhance the quality development of rural tourism with the help of rural revitalization strategy in the context of the Internet

Analysis of the path to enhance the quality development of rural tourism with the help of rural revitalization strategy in the context of the Internet

Urban Traffic Accident Features Investigation to Improve Urban Transportation Infrastructure Sustainability by Integrating GIS and Data Mining Techniques

Co-location analysis of pedestrian accident attributes for Ankara

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