Optimising Cyclist Road-Safety Scenarios Through Angle-of-View Analysis Using Buffer and GIS Mapping Techniques
In the present era, achieving sustainability requires the development of planning strategies to develop a safer urban infrastructure. This study examines the realistic aspects of cyclist safety by analysing cyclists’ fields of view, using Geographic Information Systems (GIS) and spatial data analysi...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-07-01
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| Series: | Infrastructures |
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| Online Access: | https://www.mdpi.com/2412-3811/10/7/184 |
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| author | Zahra Yaghoobloo Giuseppina Pappalardo Michele Mangiameli |
| author_facet | Zahra Yaghoobloo Giuseppina Pappalardo Michele Mangiameli |
| author_sort | Zahra Yaghoobloo |
| collection | DOAJ |
| description | In the present era, achieving sustainability requires the development of planning strategies to develop a safer urban infrastructure. This study examines the realistic aspects of cyclist safety by analysing cyclists’ fields of view, using Geographic Information Systems (GIS) and spatial data analysis. The research introduces novel geoprocessing tools-based GIS techniques that mathematically simulate cyclists’ angles of view and the distances to nearby environmental features. It provides precise insights into some potential hazards and infrastructure challenges encountered while cycling. This research focuses on managing and analysing the data collected, utilising OpenStreetMap (OSM) as vector-based supporting data. It integrates cyclists’ behavioural data with the urban environmental features encountered, such as intersections, road design, and traffic controls. The analysis is categorised into specific classes to evaluate the impacts of these aspects of the environment on cyclists’ behaviours. The current investigation highlights the importance of integrating the objective environmental elements surrounding the route with subjective perceptions and then determining the influence of these environmental elements on cyclists’ behaviours. Unlike previous studies that ignore cyclists’ visual perspectives in the context of real-world data, this work integrates objective GIS data with cyclists’ field of view-based modelling to identify high-risk areas and highlight the need for enhanced safety measures. The proposed approach equips urban planners and designers with data-informed strategies for creating safer cycling infrastructure, fostering sustainable mobility, and mitigating urban congestion. |
| format | Article |
| id | doaj-art-ef0bb9ee502e43c591d934dc4c44dc7d |
| institution | Kabale University |
| issn | 2412-3811 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Infrastructures |
| spelling | doaj-art-ef0bb9ee502e43c591d934dc4c44dc7d2025-08-20T03:35:28ZengMDPI AGInfrastructures2412-38112025-07-0110718410.3390/infrastructures10070184Optimising Cyclist Road-Safety Scenarios Through Angle-of-View Analysis Using Buffer and GIS Mapping TechniquesZahra Yaghoobloo0Giuseppina Pappalardo1Michele Mangiameli2Department of Civil Engineering and Architecture, University of Catania, 95125 Catania, ItalyDepartment of Civil Engineering and Architecture, University of Catania, 95125 Catania, ItalyDepartment of Civil Engineering and Architecture, University of Catania, 95125 Catania, ItalyIn the present era, achieving sustainability requires the development of planning strategies to develop a safer urban infrastructure. This study examines the realistic aspects of cyclist safety by analysing cyclists’ fields of view, using Geographic Information Systems (GIS) and spatial data analysis. The research introduces novel geoprocessing tools-based GIS techniques that mathematically simulate cyclists’ angles of view and the distances to nearby environmental features. It provides precise insights into some potential hazards and infrastructure challenges encountered while cycling. This research focuses on managing and analysing the data collected, utilising OpenStreetMap (OSM) as vector-based supporting data. It integrates cyclists’ behavioural data with the urban environmental features encountered, such as intersections, road design, and traffic controls. The analysis is categorised into specific classes to evaluate the impacts of these aspects of the environment on cyclists’ behaviours. The current investigation highlights the importance of integrating the objective environmental elements surrounding the route with subjective perceptions and then determining the influence of these environmental elements on cyclists’ behaviours. Unlike previous studies that ignore cyclists’ visual perspectives in the context of real-world data, this work integrates objective GIS data with cyclists’ field of view-based modelling to identify high-risk areas and highlight the need for enhanced safety measures. The proposed approach equips urban planners and designers with data-informed strategies for creating safer cycling infrastructure, fostering sustainable mobility, and mitigating urban congestion.https://www.mdpi.com/2412-3811/10/7/184cyclist safetyGIS technologygeoprocessing analysisangle-of-viewurban infrastructurecycling infrastructure safety |
| spellingShingle | Zahra Yaghoobloo Giuseppina Pappalardo Michele Mangiameli Optimising Cyclist Road-Safety Scenarios Through Angle-of-View Analysis Using Buffer and GIS Mapping Techniques Infrastructures cyclist safety GIS technology geoprocessing analysis angle-of-view urban infrastructure cycling infrastructure safety |
| title | Optimising Cyclist Road-Safety Scenarios Through Angle-of-View Analysis Using Buffer and GIS Mapping Techniques |
| title_full | Optimising Cyclist Road-Safety Scenarios Through Angle-of-View Analysis Using Buffer and GIS Mapping Techniques |
| title_fullStr | Optimising Cyclist Road-Safety Scenarios Through Angle-of-View Analysis Using Buffer and GIS Mapping Techniques |
| title_full_unstemmed | Optimising Cyclist Road-Safety Scenarios Through Angle-of-View Analysis Using Buffer and GIS Mapping Techniques |
| title_short | Optimising Cyclist Road-Safety Scenarios Through Angle-of-View Analysis Using Buffer and GIS Mapping Techniques |
| title_sort | optimising cyclist road safety scenarios through angle of view analysis using buffer and gis mapping techniques |
| topic | cyclist safety GIS technology geoprocessing analysis angle-of-view urban infrastructure cycling infrastructure safety |
| url | https://www.mdpi.com/2412-3811/10/7/184 |
| work_keys_str_mv | AT zahrayaghoobloo optimisingcyclistroadsafetyscenariosthroughangleofviewanalysisusingbufferandgismappingtechniques AT giuseppinapappalardo optimisingcyclistroadsafetyscenariosthroughangleofviewanalysisusingbufferandgismappingtechniques AT michelemangiameli optimisingcyclistroadsafetyscenariosthroughangleofviewanalysisusingbufferandgismappingtechniques |