Pedestrian safety index for evaluating street facilities in urban areas

Asadi-Shekari, Zohreh; Moeinaddini, Mehdi; Shah, Muhammad Zaly

doi:10.1016/j.ssci.2014.11.014

Cited by 58 publications

(51 citation statements)

References 22 publications

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“…Dixon (1996); Landis et al (2001);Hall (2010); Asadi-Shekari;Moeinaddini;Shah (2016);ITDP (2016); Nanya (2016); WRI Brasil (2017b).…”

Section: Calçadas (4) Exposição Ao Tráfego (Velocidade E Fluxo De Veímentioning

confidence: 99%

“…(5) Separação lateral entre tráfego e pedestres: avalia a porcentagem de face de quadra com elemento de proteção entre o tráfego de veículos e pedestres Landis et al (2001);Park (2008);Hall (2010); Asadi-Shekari;Moeinaddini;Shah (2016).…”

Section: Calçadas (4) Exposição Ao Tráfego (Velocidade E Fluxo De Veíunclassified

“…Bradshaw (1993); Mobilize (2013);Cerna (2014);NBR 9050 (2015); Asadi-Shekari;Moeinaddini;Shah (2016); Prado (2016); WRI Brasil (2017b).…”

Section: Calçadas (4) Exposição Ao Tráfego (Velocidade E Fluxo De Veímentioning

confidence: 99%

“…Dixon (1996);Keppe Junior (2007); Park (2008);Hall (2010); Mobilize (2013);Cerna (2014);Gehl (2015); Asadi-Shekari;Moeinaddini;Shah (2016).…”

Section: Park (2008); Gehl (2015); Itdp (2016)mentioning

confidence: 99%

“…A partir deste levantamento bibliográfico, observou-se que os indicadores relacionados a microescala podem ser mensurados pelos atributos associados às calçadas (BRADSHAW, 1993;KHISTY, 1994;LANDIS et al, 2001), às intersecções (MURALEETHARAN et al, 2004) ou alusivos a ambos (SARKAR, 1995;DIXON, 1996;GALLIN, 2001;FERREIRA E SANCHES, 2001;HALL, 2010;ASADI-SHEKARI;MOEINADDINI;SHAH, 2016;ITDP, 2016). Em pesquisas recentes os pontos de ônibus também vêm sendo considerados na avaliação da infraestrutura de pedestres (CERNA, 2014;PRADO, 2016).…”

Section: Prado (2016)unclassified

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Elaboração de índice de caminhabilidade sob a percepção de especialistas

Pires

Magagnin

2018

RNGC

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“…Dixon (1996); Landis et al (2001);Hall (2010); Asadi-Shekari;Moeinaddini;Shah (2016);ITDP (2016); Nanya (2016); WRI Brasil (2017b).…”

Section: Calçadas (4) Exposição Ao Tráfego (Velocidade E Fluxo De Veímentioning

confidence: 99%

Section: Calçadas (4) Exposição Ao Tráfego (Velocidade E Fluxo De Veíunclassified

“…Bradshaw (1993); Mobilize (2013);Cerna (2014);NBR 9050 (2015); Asadi-Shekari;Moeinaddini;Shah (2016); Prado (2016); WRI Brasil (2017b).…”

Section: Calçadas (4) Exposição Ao Tráfego (Velocidade E Fluxo De Veímentioning

confidence: 99%

“…Dixon (1996);Keppe Junior (2007); Park (2008);Hall (2010); Mobilize (2013);Cerna (2014);Gehl (2015); Asadi-Shekari;Moeinaddini;Shah (2016).…”

Section: Park (2008); Gehl (2015); Itdp (2016)mentioning

confidence: 99%

Section: Prado (2016)unclassified

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Elaboração de índice de caminhabilidade sob a percepção de especialistas

Pires

Magagnin

2018

RNGC

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Walking school bus line routing for efficiency, health and walkability: A multi‐objective optimisation approach

Wang

Kang

et al. 2023

Multi Criteria Decision Anal

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Walking School Bus (WSB) has been recognised as an innovative solution to promote walking to school, bringing a wide spectrum of benefits, including: health benefits from the physical exercise, social skills and traffic reduction. To facilitate the success of WSB, one vital element is its route planning, which directly affects the catchment for the service and the realisation of all the potential benefits. Previously, time has been the only factor that has been considered in WSB routing problems. Other important factors including air quality, safety and comfort will also be considered in this paper. Air quality along a WSB route is important to help realise the health benefits of walking. Traffic safety has been the biggest barrier to walking to school and must be addressed in planning a WSB route. Ensuring children have an enjoyable and comfortable experience is vital for the sustainability and success of WSB. A walking network is introduced to enable modelling pedestrian movements in detail, including walking movements on different sides of the road and crossing movements. This approach enables detailed route-based analysis to assess the localised effect of air quality on pollutant dose. We define walkability as a measure of children's needs in safety and comfort, which can also be assessed in detail on each route. We propose a multi-objective optimisation model to generate efficient WSB routes with three objectives representing the potential benefits of WSB: (1) to minimise time; (2) to minimise pollutant dose; and (3) to maximise walkability. We apply our model to a selected school in Bradford in the UK, generating three WSB lines following efficient routes. These lines go through a predetermined sequence of 'WSB Stops', with the final stop as the school. All children within the catchment area will be able to join a WSB within 1-2 min walk from their home to the nearest stop. Our multi-objective WSB route planning model is highly transferable to any selected school in any WSB targeted area. Planners will be able to select a combination of WSB lines to offer, based on the requirement of coverage area and resource availability.

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Examine the pedestrian road crossing behavior in Kuwait

AlKheder

Alrashidi

Zaqzouq

2022

Journal of Public Affairs

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This study sheds light on pedestrian and driver's behavior towards crossing in Kuwait. It examined the effect of different factors on pedestrian and vehicle violations at 10 locations in Kuwait including signalized, nonsignalized intersections, locations with/without pedestrian's bridge, and locations with/without pedestrian crossing signals. Four types of pedestrian's violations were observed; crossing outside the marked crossway, not obeying traffic signal, distracted crossing (eating, drinking, or using a smartphone while crossing), and not using pedestrian's bridge. For vehicle violations, two types were observed; not yielding to pedestrians and stopping over the marked crossway. The pedestrian and vehicle violations observed are considered as “violations” according to the existing Highway Code in Kuwait. A total of 24,393 pedestrian crossing violations were recorded over 40 days. Pedestrian violations were analyzed using a multinomial logit model while vehicle violations were analyzed by frequencies analysis. Video data were used for validation applying a trajectory‐based approach showing a high accuracy level of 98.85%. The results showed that all the studied factors; time of observation including weekdays and weekends, and peak and off‐peak hours, location of observation, demographic characteristics including pedestrian gender, and age, and site properties (with/without pedestrian's bridge and with/without pedestrian crossing signal) were significant and had a strong relationship with the type of violations. The results also indices the importance of providing pedestrian's bridge in locations with a high number of violations.

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Pedestrian safety index for evaluating street facilities in urban areas

Cited by 58 publications

References 22 publications

Elaboração de índice de caminhabilidade sob a percepção de especialistas

Elaboração de índice de caminhabilidade sob a percepção de especialistas

Walking school bus line routing for efficiency, health and walkability: A multi‐objective optimisation approach

Examine the pedestrian road crossing behavior in Kuwait

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