An intercept study of footbridge users and non-users in Malaysia

Abstract Road safety of vulnerable road users in low- and middle-income countries (LMICs) is a major concern. Footbridges or overpasses are pieces of infrastructure designed to allow pedestrians to cross safely. Although there is tension over whether footbridges are the most inclusive and sustainable way to support safe road crossing for vulnerable road users, footbridges are still a predominant piece of infrastructure in LMICs. Therefore, research aimed at optimising the use of footbridges could have an impact on the safety of vulnerable road users. The objective of the present study is to understand the motivational factors influencing pedestrian crossing decisions to use a footbridge in Malaysia. Additionally, the present study investigates the effectiveness of some proposed interventions to change the crossing behaviour of footbridge non-users. An intercept study was conducted in five major cities in Malaysia. Pedestrians answered questions regarding their perceptions about footbridges and previous walking experiences. The analysis was divided into two parts: Firstly, a decision tree analysis was conducted to study the relationship between the observed decision to use or not a footbridge and pedestrians’ perceptions about footbridges and experiences. Secondly, a decision tree analysis was used to identify the effectiveness of proposed countermeasures in increasing the footbridge usage among non-users. The findings showed that the footbridge height and the frequency of using it were associated with a decrease in the likelihood of utilising this structure. Being in a hurry was highly associated with crossing at the street level. In addition, footbridge non-users might change their behaviour if escalators or fences are provided as interventions. The results indicated that safety messages delivered through posters to alert footbridge non-users have the potential to sustain safe mobility. A user-centred approach is necessary to increase the usability of footbridges in LMICs.

[1]  Miguel Landa-Blanco,et al.  Factors related to the use of pedestrian bridges in university students of Honduras , 2020 .

[2]  Walter L. Arias Gallegos.  Motives of disuse of pedestrian bridges in Arequipa , 2012 .

[3]  Long T Truong,et al.  Pedestrian overpass use and its relationships with digital and social distractions, and overpass characteristics. , 2019, Accident; analysis and prevention.

[4]  G. V. Kass.  An Exploratory Technique for Investigating Large Quantities of Categorical Data , 1980 .

[5]  Akhilesh Kumar Maurya,et al.  Planning for Better Skywalk Systems Using Perception of Pedestrians: Case Study of Mumbai, India , 2020 .

[6]  Patricia Delhomme,et al.  Contextual factors explaining risk-taking intentions at Australian level crossings , 2018, Safety Science.

[7]  Timo Lajunen,et al.  Pedestrian self-reports of factors influencing the use of pedestrian bridges. , 2007, Accident; analysis and prevention.

[8]  Oscar Oviedo-Trespalacios,et al.  Assessment of the risk of failure of high voltage substations due to environmental conditions and pollution on insulators , 2015, Environmental Science and Pollution Research.

[9]  P Jones,et al.  Estimating preferences for different types of pedestrian crossing facilities , 2018 .

[10]  Astrid Gühnemann,et al.  Visions for a walking and cycling focussed urban transport system , 2011 .

[11]  O. Kobusingye,et al.  The effect of an overpass on pedestrian injuries on a major highway in Kampala - Uganda. , 2002, African health sciences.

[12]  Oscar Oviedo-Trespalacios,et al.  Footbridge usage in high-traffic flow highways: The intersection of safety and security in pedestrian decision-making​ , 2017 .

[13]  Andras Varhelyi,et al.  Motorcyclists’ road safety related behavior at access points on primary roads in Malaysia – A case study , 2015 .

[14]  Walter L. Arias Gallegos.  Motivos del desuso de puentes peatonales en Arequipa , 2012 .

[15]  Stephane Hess,et al.  Modelling pedestrian crossing choice on Cape Town’s freeways: Caught between a rock and a hard place? , 2019, Transportation Research Part F: Traffic Psychology and Behaviour.

[16]  Rawiwan Oranratmanee,et al.  Streets as Public Spaces in Southeast Asia: Case Studies of Thai Pedestrian Streets , 2014 .

[17]  Xiaomeng Li,et al.  Drivers' gap acceptance behaviours at intersections: A driving simulator study to understand the impact of mobile phone visual-manual interactions. , 2020, Accident; analysis and prevention.

[18]  Yiik Diew Wong,et al.  Safety evaluation of pedestrian behaviour and violations at signalised pedestrian crossings , 2014 .

[19]  Oscar Oviedo-Trespalacios,et al.  Fast and furious: A neglected issue in health promotion among young drivers. , 2018, Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals.

[20]  Madzlan Napiah,et al.  The perception of Malaysian pedestrians toward the use of footbridges , 2018, Traffic injury prevention.

[21]  M. King,et al.  Applying the Traffic Safety Culture Approach in Low- and Middle-income Countries , 2019, Traffic Safety Culture.

[22]  Martha Híjar,et al.  Motivos de uso y no uso de puentes peatonales en la Ciudad de México: la perspectiva de los peatones , 2010 .

[23]  Oscar Oviedo-Trespalacios,et al.  Harmless? A hierarchical analysis of poppers use correlates among young gay and bisexual men. , 2019, Drug and alcohol review.

[24]  J. Ross Quinlan,et al.  Decision trees and decision-making , 1990, IEEE Trans. Syst. Man Cybern..

[25]  H. Miedema,et al.  Influence of environmental street characteristics on walking route choice of elderly people , 2009 .

[26]  Y. I. Demiroz,et al.  Illegal road crossing behavior of pedestrians at overpass locations: Factors affecting gap acceptance, crossing times and overpass use. , 2015, Accident; analysis and prevention.

[27]  Ngai Weng Chan,et al.  Impacts of Disasters and Disaster Risk Management in Malaysia: The Case of Floods , 2015 .

[28]  S. Bamberg,et al.  Does habitual car use not lead to more resistance to change of travel mode? , 2003 .

[29]  Jimmy Bordarie,et al.  Predicting intentions to comply with speed limits using a ‘decision tree’ applied to an extended version of the theory of planned behaviour , 2019, Transportation Research Part F: Traffic Psychology and Behaviour.

[30]  Charles Tijus,et al.  Pedestrian crossing decision-making: A situational and behavioral approach , 2009 .

[31]  J. Garvill,et al.  Interrupting habitual car use : The importance of car habit strength and moral motivation for personal car use reduction , 2008 .

[32]  Oscar Oviedo-Trespalacios,et al.  Young driver risky behaviour and predictors of crash risk in Australia, New Zealand and Colombia: Same but different? , 2017, Accident; analysis and prevention.

[33]  Rich C. McIlroy,et al.  Road Safety in Low-Income Countries: State of Knowledge and Future Directions , 2019, Sustainability.

[34]  Hong Chen,et al.  Identification of contributing factors to pedestrian overpass selection , 2014 .

[35]  Madzlan Napiah,et al.  Pedestrians' behavior towards the use of footbridges under the impact of motivational alerting posters: the case of Ipoh city, Malaysia , 2017 .