Extracting Road Traffic Volume in the City before and during covid-19 through Video Remote Sensing

Macioszek, Elżbieta; Kurek, Agata

doi:10.3390/rs13122329

Cited by 51 publications

(42 citation statements)

References 52 publications

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“…A significant decrease in road traffic volume was observed in many countries especially in the initial stages of the pandemic. A comparison of road traffic volume from eight signalized intersections in Poland showed 23 % to 43% reduction in traffic volume in 2020 compared to 2019 ( Macioszek & Kurek, 2021 ). According to the Central Statistics Office of Ireland, the average weekly volume of passenger cars on roads decreased by 75% soon after the announcement of first nationwide lockdown in March 2020 ( Central Statistics Office, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Assessing the impact of mobility on the incidence of COVID-19 in Dublin City

Manzira

Charly

Caulfield

2022

Sustainable Cities and Society

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Covid-19 has had a major impact on the transport systems around the world. Several transport-related policies were implemented in short period of time to contain the spread of the pandemic. These policies had a major influence on travel behaviour and people's perception towards the safety of different modes of transport, especially public transport, thus affecting several sustainable mobility initiatives. To build a resilient and sustainable transport system and to rebuild trust in public transport, it is important to understand the role of mobility in the spread of Covid-19 pandemic. The present study investigates the relationship between mobility and reported Covid-19 infections using data from Dublin city. Different modes of transport including traffic volume, bus passengers, pedestrians and cyclists were considered in the study during a forty week period. Multiple scenarios involving two-week lag and three-week lag of mobility data and Covid-19 infections were considered in building statistical models. Results showed that, 36.2 % of the reported Covid-19 infections after a two-week lag and 33% of the infections after a three-week lag can be explained using the level of mobility alone. The study further discusses the policy implications and strategies for ensuring a resilient and sustainable transport system.

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Section: Introductionmentioning

confidence: 99%

Assessing the impact of mobility on the incidence of COVID-19 in Dublin City

Manzira

Charly

Caulfield

2022

Sustainable Cities and Society

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“…Nowadays, people are encouraged to cycling because this form of travel has a positive effect on their health and reduces the negative effects of motorized traffic. On the other hand, the rapid economic development and consumer demand contribute to the increase in the traffic volume of trucks in cities [54][55][56][57][58]. Due to the increasing traffic volume for both trucks and bicyclists, their routes often intersect in some confined urban spaces.…”

Section: Discussionmentioning

confidence: 99%

The Analysis of the Factors Influencing the Severity of Bicyclist Injury in Bicyclist-Vehicle Crashes

Macioszek

Granà

2021

Sustainability

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Transportation and technological development have for centuries strongly influenced the shaping of urbanized areas. On one hand, it undoubtedly brings many benefits to their residents. However, also has a negative impact on urban areas and their surroundings. Many transportation and technological solutions lead, for example, to increased levels of pollution, noise, excessive energy use, as well as to traffic accidents in cities. So, it is important to safe urban development and sustainability in all city aspects as well as in the area of road transport safety. Due to the long-term policy of sustainable transport development, cycling is promoted, which contributes to the increase in the number of this group of users of the transport network in road traffic for short-distance transport. On the one hand, cycling has a positive effect on bicyclists’ health and environmental conditions, however, a big problem is an increase in the number of serious injuries and fatalities among bicyclists involved in road incidents with motor vehicles. This study aims to identify factors that influence the occurrence and severity of bicyclist injury in bicyclist-vehicle crashes. It has been observed that the factors increasing the risk of serious injuries and deaths of bicyclists are: vehicle driver gender and age, driving under the influence of alcohol, exceeding the speed limit by the vehicle driver, bicyclist age, cycling under the influence of alcohol, speed of the bicyclist before the incident, vehicle type (truck), incident place (road), time of the day, incident type. The obtained results can be used for activities aimed at improving the bicyclists’ safety level in road traffic in the area of analysis.

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“…Furthermore, reliable traffic measurements and traffic monitoring to prevent network congestion and to prevent the depletion of the capacity of nodes in the transport network are very important. Some scholars have proposed traffic flow monitoring or prediction methods for road network nodes under emergencies [23][24][25][26]. In addition, many scholars have carried out research on traffic emergency disposal measures and methods under urban road network emergencies [27][28][29][30].…”

Section: It Is Necessary To Determine the Classification Parametersmentioning

confidence: 99%

A Grade Identification Method of Critical Node in Urban Road Network Based on Multi-Attribute Evaluation Correction

et al. 2022

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Accurately identifying the key nodes of the road network and focusing on its management and control is an important means to improve the robustness and invulnerability of the road network. In this paper, a classification and identification method of key nodes in urban road networks based on multi-attribute evaluation and modification was proposed. Firstly, the emergency function guarantee grade of road network nodes was divided by comprehensively considering the importance of road network nodes, the consequences of failure, and the degree of difficulty of recovery. The evaluation indexes were selected according to the local attributes, global attributes, and functional attributes of the road network topology. The spatial distribution patterns of the evaluation indexes of the nodes were analyzed. The dynamic classification method was used to cluster the attributes of the road network nodes, and the TOPSIS method was used to comprehensively evaluate the importance ranking of the road network nodes. Attribute clustering of road network nodes by dynamic classification method (DT) and the TOPSIS method was used to comprehensively evaluate the ranking of the importance of road network nodes. Then, combined with the modification of the comprehensive evaluation and ranking of the importance of the road network nodes, the emergency function support classification results of the road network nodes were obtained. Finally, the method was applied to the road network within the second Ring Road of Beijing. It was compared with the clustering method of self-organizing competitive neural networks. The results show that this method can identify the key nodes of the road network more accurately. The first-grade key nodes are all located at the more important intersections on expressways and trunk roads. The spatial distribution pattern shows a “center-edge” pattern, and the important traffic corridors of the road network show a “five vertical and five horizontal” pattern.

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Extracting Road Traffic Volume in the City before and during covid-19 through Video Remote Sensing

Cited by 51 publications

References 52 publications

Assessing the impact of mobility on the incidence of COVID-19 in Dublin City

Assessing the impact of mobility on the incidence of COVID-19 in Dublin City

The Analysis of the Factors Influencing the Severity of Bicyclist Injury in Bicyclist-Vehicle Crashes

A Grade Identification Method of Critical Node in Urban Road Network Based on Multi-Attribute Evaluation Correction

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