Analysis of illegal pedestrian crossing behavior on a major divided arterial road

Shaaban, Khaled; Muley, Deepti; Mohammed, Abdulla

doi:10.1016/j.trf.2018.01.012

Cited by 93 publications

(46 citation statements)

References 28 publications

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“…This result indicates that those road users who speed up when arriving at the intersection are very likely to cross the intersection against the red light. Similar results of crossing speed change were reported in many researches [46,47]. Pedestrians tend to change their walking speed while crossing to adjust to the traffic conditions for safe crossing, and more than half of them accelerated.…”

Section: Speed Change Upon Arrivalsupporting

confidence: 85%

A Random Parameter Logit Model of Immediate Red-Light Running Behavior of Pedestrians and Cyclists at Major-Major Intersections

Wang

Yuan

Liu

et al. 2019

Journal of Advanced Transportation

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It is a dangerous behaviour for pedestrians and nonmotorized vehicles to cross intersections without waiting when they arrive at intersections during the red-light period. This paper investigates three typical signalized major-major intersections in the center of Beijing, by collecting and analyzing 1368 samples of pedestrians and nonmotorized vehicles. A random parameter logit model (RPLM) is established, with immediate red-light running (IRLR) behaviour as the dependent variable. The results show that the number of people waiting upon arrival, number of people crossing upon arrival, traffic mode, motor vehicle phase upon arrival, and speed change upon arrival have significant effects on IRLR behaviour. Accordingly, we suggest enforcing education administration on cyclists to reduce cyclists' IRLR behaviour. Thus, people's red-light running (RLR) behaviour will further decrease with fewer cyclists' IRLR behaviour. Accordingly, the safety of pedestrians and nonmotorized vehicles at signalized intersections has attracted the

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Section: Speed Change Upon Arrivalsupporting

confidence: 85%

A Random Parameter Logit Model of Immediate Red-Light Running Behavior of Pedestrians and Cyclists at Major-Major Intersections

Wang

Yuan

Liu

et al. 2019

Journal of Advanced Transportation

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“…A third important implication of the study involves its inclusion of driver behavior. Previous research in developing countries has indicated that drivers leave most of the responsibility of avoiding accidents to pedestrians, even in residential areas [18,49,62]. Accordingly, the proposed method suggests that driver behavior is a key factor that needs to be measured and evaluated in terms of how such behavior impacts walkability in certain neighborhoods.…”

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…A key characteristic of a developing country is poor infrastructure. Some of these problems include narrow streets [12,13], obstructions [14,15], lack of shaded corridors [16], appealing elements [17], and aggressive driving against pedestrians [18].Sidewalks are the main infrastructure for pedestrian mobility. Although studying the condition of sidewalks and their impact on walkability has received considerable attention in different countries, few studies investigating sidewalks in developing countries exist.…”

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confidence: 99%

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Assessing Sidewalk and Corridor Walkability in Developing Countries

Shaaban

2019

Sustainability

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Finding a simple and less expensive method to assess and improve sidewalk and corridor conditions in developing countries is essential in order to motivate more people to walk. This study aimed to design and test a method that uses direct observations of driver behavior and street measurements to assess sidewalk and corridor walkability in developing countries. The proposed method includes different walkability indicators related to sidewalk features, crossing facilities, sidewalk facilities, and driver behavior to provide one score that represents the walkability of a sidewalk and one that represents the walkability of a corridor. The method was tested on streets from 10 neighborhoods in the city of Doha, Qatar. The results indicated that the developed method was easy to use and could efficiently measure various indicators, illustrating that it can be used to evaluate corridors with different characteristics to identify and rank areas that require improvement. The study's findings will provide maintenance agencies, policymakers, and practitioners in developing countries with a simple, efficient, and cost-effective method to evaluate, plan, rank, and improve the walkability of sidewalks and corridors. index measuring poverty, literacy, education, and life expectancy, in addition to other factors. A key characteristic of a developing country is poor infrastructure. Some of these problems include narrow streets [12,13], obstructions [14,15], lack of shaded corridors [16], appealing elements [17], and aggressive driving against pedestrians [18].Sidewalks are the main infrastructure for pedestrian mobility. Although studying the condition of sidewalks and their impact on walkability has received considerable attention in different countries, few studies investigating sidewalks in developing countries exist. As such, the present study strives to investigate walkability in a developing country properly. The first aim of this study is to design a simple measuring method that assesses sidewalks and corridors in developing countries. The second aim is to apply the method to real-life data to check its ability to assess the sidewalk walkability in Qatar, a developing country, effectively. As a developing country in the Middle East, Qatar is a unique case. Even though Qatar is considered as one of the most advanced countries in the region-thanks to having one of the highest gross domestic product per capita in the world-the country is still considered a developing country according to the United Nations for several reasons. For instance, Qatar's infrastructure, particularly the transportation one, is facing problems. Some of these problems were caused by the rapid continuous growth of the population, resulting in heavy pressure on the existing transportation infrastructure, a low-quality non-motorized transportation infrastructure, traffic safety problems, noise and air pollution concerns, coordination issues between different public agencies, and a shortage in experienced transportation professionals for management, planni...

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“…It is shown that the male and middle-aged pedestrians have a high probability to cross the streets illegally [1,2,19]. Besides, crowd size [3,23], clothing [3], and luggage [4] are also employed to explain the di erent crossing speeds and waiting time. In addition, culture is considered as another important factor impacting di erences in crossing behaviors [5].…”

Section: Factors a Ecting Crossing Behavior Of Pedestrianmentioning

confidence: 99%

Analysis on Illegal Crossing Behavior of Pedestrians at Signalized Intersections Based on Bayesian Network

Zhang

2020

Journal of Advanced Transportation

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Pedestrians do not always comply with the crossing rules of when and/or where to cross the road at signalized intersections. This risky behavior tends to undermine greatly the effectiveness of safety countermeasures at such locations. Thus, it is very important to understand illegal behavior to develop more effective and targeting measures. In order to address the problem, this paper aimed to analyze characteristics of illegal crossings and their impact on behavior choice. Firstly, illegal crossing behaviors at signalized intersections were classified into two categories, including “crossing at a red light” and “crossing outside of a crosswalk.” Secondly, two sets of data were collected to understand the behaviors. One set of data was collected from video-based observation conducted at 3 signalized intersections in Guangzhou, China, capturing 3334 valid illegal crossing cases in total. Another set of data, from a questionnaire survey conducted online, resulted in 275 valid responses. Finally, presentational characteristics of illegal crossings at signalized intersection were analyzed and two Bayesian network-based behavior models were developed to investigate the characteristics and their impacts on the two types of illegal crossing behaviors, “crossing at a red light” and “crossing outside of a crosswalk,” respectively. Findings reveal that, (i) illegal crossings occur at various types of signalized intersections, with a higher probability for “crossing outside of a crosswalk” compared to “crossing at a red light;” (ii) Arc routing crossing has the highest probability to occur at signalized intersections compared to other types of out-side-crosswalk crossings. (iii) The location of origin and destination of a pedestrian has a significant effect on crossing outside of a crosswalk, the location of origin and destination of “one is inside of a crosswalk and another is outside of a crosswalk” has a highest proportion. These findings provide better understanding of illegal crossings and their impact factors so that the effectiveness of management and control of pedestrians at signalized intersections can be improved.

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Analysis of illegal pedestrian crossing behavior on a major divided arterial road

Cited by 93 publications

References 28 publications

A Random Parameter Logit Model of Immediate Red-Light Running Behavior of Pedestrians and Cyclists at Major-Major Intersections

A Random Parameter Logit Model of Immediate Red-Light Running Behavior of Pedestrians and Cyclists at Major-Major Intersections

Assessing Sidewalk and Corridor Walkability in Developing Countries

Analysis on Illegal Crossing Behavior of Pedestrians at Signalized Intersections Based on Bayesian Network

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