Study on Pedestrian Compliance Behavior at Vehicular Traffic Signals and Traffic-Police-Controlled Intersections

Zafri, Niaz Mahmud; Rony, Atikul Islam; Adri, Neelopal

doi:10.1007/s13177-019-00208-y

Cited by 6 publications

(2 citation statements)

References 22 publications

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“…After running the model, we found the Log-likelihood ratio = −218.1205, Pseudo R 2 = 0.1139 and P = 0.0000. It also showed that the model had a good fit [56]. With the monetary compensation method as the comparison group, the possibilities of the other three compensation methods, as well as the effect of significant socio-demographic characteristics on their choice, could be obtained.…”

Section: Econometric Results Of Mnl Model On Citizensmentioning

confidence: 93%

Preferences in Farmland Eco-Compensation Methods: A Case Study of Wuhan, China

Yang

Zhou

Cao

et al. 2021

Land

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Successful farmland eco-compensation projects need to reflect the heterogeneous preferences both from suppliers and beneficiaries. This paper tries to answer this question by investigating both citizen and farmer preferences for different farmland eco-compensation methods in Wuhan, China, and explore some of the socio-demographic characteristics that contribute to their preferences. Based on the data of 288 citizens and 331 farmers, the multinomial logit model was employed to analyze their preferences for the four farmland eco-compensation methods (monetary compensation, in-kind compensation, technology compensation and policy compensation), respectively. The results show that: (1) Monetary compensation is the most welcomed farmland eco-compensation method among both citizens and farmers. (2) Despite farmers and citizens both putting a high value on monetary compensation methods, citizens are more likely to provide compensation methods that can help farmers improve their living standards in a sustainable method (in-kind compensation, technology compensation and policy compensation). Farmers are less likely to choose the in-kind compensation method. (3) The preference for farmland eco-compensation systems of farmers and citizens are influenced by different socio-demographic characteristics. The results can help the government to design more aimed farmland eco-compensation methods for farmers with different socio-demographic characteristics.

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Section: Econometric Results Of Mnl Model On Citizensmentioning

confidence: 93%

Preferences in Farmland Eco-Compensation Methods: A Case Study of Wuhan, China

Yang

Zhou

Cao

et al. 2021

Land

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“…Despite jaywalking events are particularly risky, they had received less attention. Most of the literature studies have focused on the behaviour of pedestrians during crossing (Deb et al 2017;Zhou et al 2019;Zafri et al 2020;Tezcan et al 2019), their crossing speed (Iryo-Asano et al 2017;, the acceptance of the time gap (Petzoldt 2014;Lobjois, Cavallo 2007;Lobjois et al 2013;Shaaban et al 2019) or on the analysis of driver's behaviour while approaching pedestrian crossings under different conditions of traffic calming measures (Fisher, Garay-Vega 2012;Bella, Silvestri 2015;Domenichini et al 2019).…”

Section: Introductionmentioning

confidence: 99%

Vehicle–pedestrian Interactions Into and Outside of Crosswalks: Effects of Driver Assistance Systems

Bella¹,

Silvestri²

2021

Transport

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This study aimed to analyse the driver’s behaviour during the interaction with a pedestrian crossing into and outside the zebra crossing, and evaluate the effectiveness of two kinds of Advanced Driver Assistance System (ADAS) that provided to the driver an auditory alert, and a visual alert to detect the pedestrian. 42 participants joined the experiment conducted using the fixed-base driving simulator of the Department of Engineering (Roma Tre University). They experienced different crossing conditions (legal and illegal) and ADAS conditions (no ADAS, visual warning and auditory warning) in an urban scenario. The parameters Time-To-Arrive (TTA) and Speed Reduction Time (SRT) were obtained from the drivers’ speed profiles in the last 150 m in advance of the conflict point with the pedestrian. Results clearly showed the criticality of illegal crossings. When the pedestrian crossed outside of the crosswalk, the highest number of collision occurred and the ANalysis Of VAriance (ANOVA) returned significant effects on both the dependent variables TTA and SRT, highlighting the higher criticality of the vehicle–pedestrian interaction and the more abrupt yielding manoeuvre. Positive effects (the vehicle–pedestrian interaction was less critical and the yielding manoeuvre was smoother) emerged for both the driver assistance systems, although not statistically significant. Besides, both the driver assistance systems positively affected the behaviour of the average cautious drivers. No significant effects of the warning systems were recorded on the aggressive drivers, which because of their behavioural characteristics ignored the warning alarm. In addition, no significant effects of the warning systems were recorded for the very cautious drivers, which adjusted their behaviour even before the alarm trigger. Finally, the outcomes of the questionnaire submitted to the participants highlighted the clear preference for the auditory warning, probably because of the different physical stimuli that are solicited by the warning signal. The results confirm that adequate pedestrian paths should be planned to avoid jaywalker conditions, which induce the driver to assume critical driving behaviour and provide useful findings of the effectiveness of driver assistance systems for pedestrian detection.

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