Estimation of Pedestrian Safety Index Value at Signalized Intersections Under Mixed Traffic Conditions

Marisamynathan, Sankaran; Vedagiri, P.

doi:10.1007/s40890-018-0058-0

Cited by 14 publications

(7 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In terms of percent change, the odds for driving license holders are 192% higher than the odds for those who do not own driving licenses. This is consistent with a past study [7] which clearly states that most pedestrian accidents take place at junctions. • In addition, even though pedestrians take extra care by complying with traffic signals at pedestrian crossings, they still do not feel safe at pedestrian crossings compared to the reference category of "footpaths."…”

Section: Mnl Model -P31: Location Of Pedestrians' Accident (Junctionssupporting

confidence: 93%

“…Previous research on pedestrian safety covered various aspects involving child pedestrians [3], [4], gender aspects [5], and perceptions across many countries in Europe [6]. The pedestrian safety research in developing countries has been receiving considerable attention in recent years, for instance, in India [7], in the Philippines [8], and in China [5], [9].…”

Section: Introductionmentioning

confidence: 99%

“…The high pedestrian fatality rate is due to the speed of passing vehicles on pedestrian areas, lack of footpaths, lack of crossing provision for pedestrians with associated speed control and warning signage for vehicles, and vehicles failing to give way to pedestrians [12]. Therefore, pedestrians are considered one of the most vulnerable road user groups in developing countries where their safety has been given inadequate attention from the policymakers [5], [7]. Previous research mainly focused on analyzing pedestrian accidents based on the country-based statistics and accident datasets collected by police authorities.…”

Section: Introductionmentioning

confidence: 99%

“…Accident locations, the primary transportation mode, time of accidents, and a significant cause for accidents have been given attention in pedestrian safety research [7], [17], [18]. Additionally, other demographic variables, such as age and gender, have also been considered in pedestrian accident studies [19], [20].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Analyzing Pedestrian Perceptions towards Traffic Safety Using Discrete Choice Models

Wedagama¹,

Bennett²,

Dissanayake³

2020

Int. J. Adv. Sci. Eng. Inf. Technol.

View full text Add to dashboard Cite

Policymakers and national, regional, and local authorities will require to cater to growing demands for public services and facilities, including the implementation of better and safer infrastructure. This should be conducted focusing on the urban poor and other vulnerable groups for their basic needs for transportation, housing, education, health care, and, more importantly, a safe and liveable urban environment. Meanwhile, pedestrians are often the most vulnerable road users in society, so investigating pedestrian accidents' causes and consequences is essential. Like neighboring countries in Asia, Indonesia experiences a high pedestrian fatality rate. This study investigates pedestrian perceptions toward traffic safety and identifies novel measures to improve pedestrian safety, with a particular focus on developing cities. Data collection involved self-reporting using questionnaires by respondents based in Denpasar, the capital city of Bali Province. Binary and multinomial logit models were estimated using pedestrian perception data to identify the factors that influence pedestrian accidents. This study found that reckless or careless driving/riding contributed significantly to pedestrian accidents at both night and day times. Besides, junctions and pedestrian crossings were perceived to be dangerous for pedestrians compared to other road infrastructure such as footpaths. The outcome of the study also reveals that motorcycles will be more influential for pedestrian accidents than cars. To reflect upon the findings, some countermeasures for enhancing pedestrian safety in Denpasar were discussed with attention to engineering, policy, enforcement, and education perspectives.

show abstract

Section: Mnl Model -P31: Location Of Pedestrians' Accident (Junctionssupporting

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Analyzing Pedestrian Perceptions towards Traffic Safety Using Discrete Choice Models

Wedagama¹,

Bennett²,

Dissanayake³

2020

Int. J. Adv. Sci. Eng. Inf. Technol.

View full text Add to dashboard Cite

show abstract

“…In recent years, there has been better attention in India to assessing pedestrian safety in transportation research to recognize the sources of hazards and recommend remedial measures. The research work on pedestrian safety in India has predominantly focused on descriptive analysis of crash data, or been based on a proactive measure of pedestrian safety by assessing pedestrian crossing behavior ( 6, 8, 10, 11, 28, 29 ). Tiwari et al explored the impact of signal timing on pedestrian crossing behavior in Delhi, India ( 11 ).…”

mentioning

confidence: 99%

Comprehensive Study of Risk Factors for Fatal Pedestrian Crashes in Urban Setup in a Developing Country

Mukherjee

Mitra

2020

Transportation Research Record: Journal of the Transportation R

View full text Add to dashboard Cite

In developing nations, pedestrian safety is a matter of major concern. The present study investigates historical crash data (2011–2016) obtained from Kolkata police, India, and identifies the key risk factors for fatal pedestrian crashes at the road network level (i.e., intersections and midblock crossings). To develop an understanding of the risk factors associated with fatal pedestrian crashes, a set of safety performance functions (SPF) are developed for both intersection and midblock level. In these SPFs, several attempts are executed to identify a host of risk factors ranging from road infrastructure to land use, traffic exposure, and operational parameters, pedestrian-level attributes, and spatial characteristics of the road network. Based on the study outcomes, there is strong evidence that approaching speed of vehicles, pedestrian-vehicular volume ratio, overtaking tendency of vehicles, inaccessibility of pedestrian crosswalk, land use type, lower post-encroachment time (PET), longer waiting time before crossing, a high share of “pedestrian is not following zebra crossing,” pedestrians’ perceived crossing difficulty, the presence of “pedestrian attraction zone” (e.g., hospital, educational institute, shopping mall, bars, etc.), and high population density significantly affect the fatal pedestrian crash frequency at the intersection level. On the other hand, over-speeding and overtaking tendency of vehicles, inadequate pavement marking, lack of visibility during night-time, lower PET, higher crossing difficulty, longer waiting time before crossing, and several spatial features such as slum population and the presence of “pedestrian attraction zone”, significantly increase the likelihood of fatal pedestrian crashes at the midblock level.

show abstract

Identification of Pedestrian Risk Factors Using Negative Binomial Model

Mukherjee

Mitra

2020

Transp. in Dev. Econ.

View full text Add to dashboard Cite

Estimation of Pedestrian Safety Index Value at Signalized Intersections Under Mixed Traffic Conditions

Cited by 14 publications

References 18 publications

Analyzing Pedestrian Perceptions towards Traffic Safety Using Discrete Choice Models

Analyzing Pedestrian Perceptions towards Traffic Safety Using Discrete Choice Models

Comprehensive Study of Risk Factors for Fatal Pedestrian Crashes in Urban Setup in a Developing Country

Identification of Pedestrian Risk Factors Using Negative Binomial Model

Contact Info

Product

Resources

About