» Articles » PMID: 35206469

The Influence of Built Environment Factors on Elderly Pedestrian Road Safety in Cities: The Experience of Madrid

Overview
Publisher MDPI
Date 2022 Feb 25
PMID 35206469
Authors
Affiliations
Soon will be listed here.
Abstract

With the progressive ageing of the population, the study of the relations between road safety and elderly users is becoming increasingly relevant. Although the decline of pedestrian skills in the elderly has been widely studied in the literature, few studies have been devoted to the contributing built environmental factors of the elderly pedestrian collisions, such as the sidewalk density, the presence of traffic lights, or even some indicator related to land use or the socioeconomic features of the urban fabric. This paper contributes to the limited literature on elderly pedestrian safety by applying a negative binomial regression to a set of built environmental variables to study the occurrence of accidents involving elderly and younger (non-elderly) pedestrians in Madrid (Spain) between 2006 and 2018. The model considers a selection of built environmental factors per city district, linked to land use, infrastructure, and socioeconomic indicators. Results have highlighted that the elderly pedestrian collisions could be avoided with the existence of a wider sidewalk in the district and a greater traffic lights density. Unlike younger pedestrian accidents, these accidents are much more favored in ageing districts with higher traffic flows.

Citing Articles

Influence of road environmental factors on traffic accidents involving vulnerable road users through negative binomial models.

Chen Y, Tian Y, Ouyang Z, Zhu J PLoS One. 2025; 20(2):e0317601.

PMID: 39946411 PMC: 11824970. DOI: 10.1371/journal.pone.0317601.


Evaluating walkability across age groups and flooring materials using IMU sensors.

Jo D, Kim H Front Public Health. 2024; 12:1509602.

PMID: 39703485 PMC: 11657239. DOI: 10.3389/fpubh.2024.1509602.


Analysis of pedestrian accident severity by considering temporal instability and heterogeneity.

Li P, Zhao C, Li M, Zhang D, Luo Q, Zhang C Heliyon. 2024; 10(11):e32013.

PMID: 38867994 PMC: 11168312. DOI: 10.1016/j.heliyon.2024.e32013.


Road crashes in Adelaide metropolitan region, the consequences of COVID-19.

Soltani A, Azmoodeh M, Roohani Qadikolaei M J Transp Health. 2023; 30:101581.

PMID: 36778534 PMC: 9894777. DOI: 10.1016/j.jth.2023.101581.


Ride-hailing services: Competition or complement to public transport to reduce accident rates. The case of Madrid.

Flor M, Ortuno A, Guirao B Front Psychol. 2022; 13:951258.

PMID: 35967705 PMC: 9363903. DOI: 10.3389/fpsyg.2022.951258.

References
1.
Lee S, Yoon J, Woo A . Does elderly safety matter? Associations between built environments and pedestrian crashes in Seoul, Korea. Accid Anal Prev. 2020; 144:105621. DOI: 10.1016/j.aap.2020.105621. View

2.
Langford J, Bohensky M, Koppel S, Newstead S . Do older drivers pose a risk to other road users?. Traffic Inj Prev. 2008; 9(3):181-9. DOI: 10.1080/15389580801975632. View

3.
Tiwari G . Progress in pedestrian safety research. Int J Inj Contr Saf Promot. 2020; 27(1):35-43. DOI: 10.1080/17457300.2020.1720255. View

4.
Wedagama D, Bird R, Metcalfe A . The influence of urban land-use on non-motorised transport casualties. Accid Anal Prev. 2006; 38(6):1049-57. DOI: 10.1016/j.aap.2006.01.006. View

5.
Kim D . The transportation safety of elderly pedestrians: Modeling contributing factors to elderly pedestrian collisions. Accid Anal Prev. 2019; 131:268-274. DOI: 10.1016/j.aap.2019.07.009. View