Effect of street network design on traffic congestion and traffic safety

Choi, Dong-ah; Ewing, Reid

doi:10.1016/j.jtrangeo.2021.103200

Cited by 17 publications

(8 citation statements)

References 43 publications

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“…Moreover, road network density signifcantly afects the performance of urban transportation systems. Te local road congestion level is lower in a denser road network [32,33]. Furthermore, with the same trafc volume, the single link which stands for the road with high betweenness in scale-free networks are more likely to have trafc congestion [22].…”

Section: Impact Of Urban Road Features On Road Congestionmentioning

confidence: 99%

The Impact of Road Functions on Road Congestions Based on POI Clustering: An Empirical Analysis in Xi’an, China

Zhu

Zhang

Wang

et al. 2023

Journal of Advanced Transportation

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In new-tier cities with rapid urbanization, the reorganization of urban spatial functions and the development of road networks have brought novel challenges to traffic congestion control. Urban land use patterns have a significant correlation with urban traffic congestion. However, whether and how land use patterns of cities close to the roads affect road congestion is less to be discussed. This article investigated the relationship between land use patterns close to the urban trunk road network and traffic congestion in new tier cities Xi’an, China. We adopted the DBSCAN algorithm to cluster POIs and use the mixed POI clusters to label the socio-economic functions of roads. We found the spatial heterogeneity of POIs on the trunk road network and identified the impacts of the scales and types of POI on road congestion based on the empirical analysis. Compared to the POIs as origin and destination of the trips, the POIs as stopover points of the trips cause significantly more road congestion. The POIs with bidirectional flows at entrances/exits are more likely to cause road congestion than the POIs with unidirectional flows. Moreover, the POIs with flexible traffic flows increase road congestion, while the POIs with predicted traffic flows have no statistically significant correlation with road congestion. The results help urban planners to plan the scale, type, and location of POIs close to roads and to optimize the socio-economic functions of roads and alleviate road congestion.

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Section: Impact Of Urban Road Features On Road Congestionmentioning

confidence: 99%

The Impact of Road Functions on Road Congestions Based on POI Clustering: An Empirical Analysis in Xi’an, China

Zhu

Zhang

Wang

et al. 2023

Journal of Advanced Transportation

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“…One commonly used metric to evaluate how well develop of a street network is street network density, which stands for the total length road of roads per specific unit area (Choi and Ewing, 2021). However, it is important to note that greater road density is not equal to better road connectivity (Marshall and Garrick, 2012), which refers the directness and availability of links from an origin to a destination (Koohsari et al, 2014;Zlatkovic et al, 2019).…”

Section: Street Network Design Metricsmentioning

confidence: 99%

“…Three variables were employed as explanatory measures: road network density, road intersection density, and public transit density. Road network density represents the total length of roads within the defined neighborhood (Choi and Ewing, 2021). Road intersection density, commonly used as an indicator of street connectivity, was calculated as the ratio of total amounts of road intersections with three or more ways per defined neighborhood (Ball et al, 2012;Koohsari et al, 2014;Sallis et al, 2016).…”

Section: Explanatory Variablesmentioning

confidence: 99%

Pathways from street network design to symptoms of depression among emerging adults in China

Cui

Wen

Yang

et al. 2023

Travel Behaviour and Society

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“…Road traffic risk is part of the risks produced by human society. The programs for road safety are undoubtedly on the political agenda of the authorities at different levels [2,3].…”

Section: Introductionmentioning

confidence: 99%

Methodology for assessing the road traffic risk in urban areas

Costescu,

Bujor,

Ifrim

2024

IOP Conf. Ser.: Mater. Sci. Eng.

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In the assembly of concerns for reducing the negative effects of urban road traffic, special consideration is paid - both at the local and global level - to issues related to road traffic safety. Spotting urban zones vulnerable to traffic crashes, understanding the causes of crashes, identifying some directions of action to reduce the traffic risk and their application from the urban planning stage can improve road safety. In this framework, the paper presents a methodology for estimating the intrinsic risk linked to road traffic. The main objective is identifying the relationships between the crash frequency and the intrinsic factors contributing to their occurrence. The proposed methodology is particularized for Bucharest based on the disaggregated statistical data analysis on severe accidents recorded in 2017-2022. The resulting model allows the classification of risk levels and, further, identification, planning and scheduling measures to improve urban road safety.

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Effect of street network design on traffic congestion and traffic safety

Cited by 17 publications

References 43 publications

The Impact of Road Functions on Road Congestions Based on POI Clustering: An Empirical Analysis in Xi’an, China

The Impact of Road Functions on Road Congestions Based on POI Clustering: An Empirical Analysis in Xi’an, China

Pathways from street network design to symptoms of depression among emerging adults in China

Methodology for assessing the road traffic risk in urban areas

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