Sustainable Complete Streets Design Criteria and Case Study in Naples, Italy

Montella, Alfonso; Chiaradonna, Salvatore; Mihiel, Alessandro Claudi de Saint; Lovegrove, Gord; Nunziante, Pietro; Riccardi, Maria Rella

doi:10.3390/su142013142

Cited by 15 publications

(9 citation statements)

References 27 publications

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“…Their research focuses more on pedestrians and streets. The research in [44] achieves accident reduction by incorporating pedestrian safety considerations into the planning, design, implementation and management of urban transportation. There is also a systematic and team-based approach to redesigning transit streets to improve pedestrian, bicycle and public transport traffic and safety [45].…”

Section: Analysis Of Test Results Of Poisson Regression Modelmentioning

confidence: 99%

A Collaborative Monitoring Method for Traffic Situations under Urban Road Emergencies

Xiang

2023

Applied Sciences

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The complex and diverse urban road traffic environments make it difficult to accurately assess road traffic situations. This paper proposes a collaborative monitoring method for urban road traffic situational assessment during emergency events. This method is applied to a monitoring network mapped by road geographic relations. When an emergency event is captured by a monitoring node in the network, road traffic situational awareness is completed by an activation function. Then, the Incidence matrix of the emergency event is constructed based on the node degree of this monitoring node. The collaborative node set and collaborative monitoring area are formed dynamically from this Incidence matrix. Finally, the AHP and EM combination weight calculation method based on Game Theory (GT-AHP-EM) is used to fuse the data of various information in the collaborative monitoring area to predict the current road traffic trend. The experiments show that the collaborative monitoring method can effectively assess road traffic conditions and enhance the accuracy of road traffic trend prediction.

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Section: Analysis Of Test Results Of Poisson Regression Modelmentioning

confidence: 99%

A Collaborative Monitoring Method for Traffic Situations under Urban Road Emergencies

Xiang

2023

Applied Sciences

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“…These results indicate that the roadway patterns impacting the occurrence of pedestrian crashes differ from those affecting the pedestrian crash severity. Indeed, highly dense urban settings may provide more facilities for pedestrians whereas, in rural areas, there are likely to be poor infrastructures that accommodate pedestrians [36][37][38]. Despite this, pedestrian crashes are overrepresented on urban roads whereas fatal pedestrian crashes are overrepresented on other road types.…”

Section: Discussionmentioning

confidence: 99%

Econometric and Machine Learning Methods to Identify Pedestrian Crash Patterns

et al. 2022

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Walking plays an important role in overcoming many challenges nowadays, and governments and local authorities are encouraging healthy and environmentally sustainable lifestyles. Nevertheless, pedestrians are the most vulnerable road users and crashes with pedestrian involvement are a serious concern. Thus, the identification of pedestrian crash patterns is crucial to identify appropriate safety countermeasures. The aims of the study are (1) to identify the road infrastructure, environmental, vehicle, and driver-related patterns that are associated with an overrepresentation of pedestrian crashes, and (2) to identify safety countermeasures to mitigate the detected pedestrian crash patterns. The analysis carried out an econometric model, namely the mixed logit model, and the association rules and the classification tree algorithm, as machine learning tools, to analyse the patterns contributing to the overrepresentation of pedestrian crashes in Italy. The dataset consists of 874,847 crashes—including 101,032 pedestrian crashes—that occurred in Italy from 2014 to 2018. The methodological approach adopted in the study was effective in uncovering relations among road infrastructure, environmental, vehicle, and driver-related patterns, and the overrepresentation of pedestrian crashes. The mixed logit provided a clue on the impact of each pattern on the pedestrian crash occurrence, whereas the association rules and the classification tree detected the associations among the patterns with insights on how the co-occurrence of more factors could be detrimental to pedestrian safety. Drivers’ behaviour and psychophysical state turned out to be crucial patterns related to pedestrian crashes’ overrepresentation. Based on the identified crash patterns, safety countermeasures have been proposed.

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“…There is no onesize-fits-all approach to designing a perfect road network for a sustainable city, as each city has its unique challenges and opportunities (Chaberek, 2021). However, some general principles can guide the development of a sustainable road network, including prioritising public transport and creating a pedestrian and bicycle-friendly environment (Montella, et al, 2022). In Ternopil City there are about 1736.56 km of roads (Figure 4).…”

Section: Social and Economic Sustainabilitymentioning

confidence: 99%

Identification of the social economic and environmental context of the concept of city sustainability, based on the example of Ternopil, Ukraine

Roy,

Nazarkiv,

Markulchak

et al. 2023

JGPS

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The main intent of the study is to investigate the conceptual framework of sustainability associated with the social, economic, and environmental context of the city of Ternopil, Ukraine. The Preferred Reporting Items for Systematic Reviews and MetaAnalyses have been used to better understand the conceptual threshold area of sustainability. Geospatial approaches are used to measure the city’s sustainability. The results indicate that Ternopil city’s socio-economic context moderately supports sustainability, while the environmental context is less supportive. The study found that the city’s economic growth and development have caused environmental degradation, leading to the loss of biodiversity and natural resources. However, the study revealed that the city is adopting sustainable practices. The city’s strengths, weaknesses, opportunities, and threats (SWOT) have been analysed in light of sustainability. The study recommends that policymakers and stakeholders in Ternopil City should prioritise sustainable development practices, such as implementing public transport and promoting sustainable urban planning. Overall, the study provides insights into the relationship between socioeconomic and environmental factors and sustainability in Ternopil City and highlights the need for sustainable development practices to ensure a sustainable future for the city.

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Sustainable Complete Streets Design Criteria and Case Study in Naples, Italy

Cited by 15 publications

References 27 publications

A Collaborative Monitoring Method for Traffic Situations under Urban Road Emergencies

A Collaborative Monitoring Method for Traffic Situations under Urban Road Emergencies

Econometric and Machine Learning Methods to Identify Pedestrian Crash Patterns

Identification of the social economic and environmental context of the concept of city sustainability, based on the example of Ternopil, Ukraine

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