A new approach for index construction: The case of the road user behavior index

Babaee, Seddigheh; Toloo, Mehdi; Hermans, Elke; Shen, Yongjun

doi:10.1016/j.cie.2020.106993

Cited by 9 publications

(4 citation statements)

References 28 publications

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“…The DEA method was first proposed by Charnes, Cooper and Rhodes in 1978 [ 28 ]. Following its proposal, the DEA has been recognized as a powerful analytical research tool for modeling operational processes in terms of performance evaluations and benchmarking [ 29 , 30 , 31 , 32 ]. As a nonparametric method, DEA applies mathematical optimization techniques to estimate the relationship between multiple inputs and multiple outputs related to a set of DMUs.…”

Section: Methodsmentioning

confidence: 99%

Driving Behavior Based Relative Risk Evaluation Using a Nonparametric Optimization Method

Bao

Tang

Shen

2021

IJERPH

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Evaluating risks when driving is a valuable method by which to make people better understand their driving behavior, and also provides the basis for improving driving performance. In many existing risk evaluation studies, however, most of the time only the occurrence frequency of risky driving events is considered in the time dimension and fixed weights allocation is adopted when constructing a risk evaluation model. In this study, we develop a driving behavior-based relative risk evaluation model using a nonparametric optimization method, in which both the frequency and the severity level of different risky driving behaviors are taken into account, and the concept of relative risk instead of absolute risk is proposed. In the case study, based on the data from a naturalistic driving experiment, various risky driving behaviors are identified, and the proposed model is applied to assess the overall risk related to the distance travelled by an individual driver during a specific driving segment, relative to other drivers on other segments, and it is further compared with an absolute risk evaluation. The results show that the proposed model is superior in avoiding the absolute risk quantification of all kinds of risky driving behaviors, and meanwhile, a prior knowledge on the contribution of different risky driving behaviors to the overall risk is not required. Such a model has a wide range of application scenarios, and is valuable for feedback research relating to safe driving, for a personalized insurance assessment based on drivers’ behavior, and for the safety evaluation of professional drivers such as ride-hailing drivers.

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Section: Methodsmentioning

confidence: 99%

Driving Behavior Based Relative Risk Evaluation Using a Nonparametric Optimization Method

Bao

Tang

Shen

2021

IJERPH

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“…Entities in DEA are called decision-making units (DMUs), and the way in which they are classified depends on their location relative to the efficient frontier. DEA has been used by many authors to create road safety performance indexes and benchmarks, from the national [13,14] to the micro level [15,16], and more recently, to solve the problem of evaluating the layered hierarchy of indicators with a common set of weights [17]. In addition, with the given freedom for selecting inputs and outputs, it has been used to rank road sections [18], to measure the performance of public transport organizations [19], and to evaluate older drivers' performance [20].…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluation of Road Safety Performance Based on Self-Reported Behaviour Data Set

Pajković

Grdinić-Rakonjac

2021

Sustainability

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Self-reported behavioural data, being often linguistic variables that represent a qualitative measure of respondents’ opinions/attitudes, are vague, uncertain, and fuzzy in nature. A road safety performance index, based on these fuzzy data, should consider this uncertainty. In this study, fuzzy numbers were used to describe self-reported behaviour on Montenegrin roads, which was further integrated into the data envelopment analysis (DEA), a technique for measuring the relative performance of decision-making units (DMUs). The vagueness of the performance scores obtained in this way was treated with grey relational analysis (GRA). GRA was applied to the cross-efficiency (CE) matrix constructed by the DEA to distinguish Montenegrin municipalities’ performance, with the main goal of describing road safety in the observed territories in the environment of uncertain/grey data. It is concluded that the proposed DEA–GRA model, based on fuzzy data, provides a more reasonable and encompassing measure of performance, and with which the overall ranking position of municipalities can be obtained.

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“…Online short video platform (OSVP), an organic combination between videos and we-media, can disseminate information in an intuitive and three-dimensional (3D) way, and achieve commercial value in a mobile, socialized, life-oriented manner. At this stage, OSVPs exhibit a trend of rapid development in technology and scale [1][2][3][4]. Experts predict that OSVP users will reach 421 million, and the market value will surpass 25 billion yuan in 2025 [5,6].…”

Section: Introductionmentioning

confidence: 99%

Behavior Analysis of User Interaction on Online Short Video Platform

Sun¹,

Wang²,

Zhang³

et al. 2023

CIT. J. comput. inf. technol

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Online short video platform (OSVP) can disseminate information in an intuitive and three-dimensional (3D) way, and achieve commercial value in a mobile, socialized, life-oriented manner. To fully understand the information dissemination mode of short videos, it is of practical significance to explore user behaviors and their interactive relationship. Therefore, this paper carries out a behavior analysis on user interaction on OSVP. Firstly, an OSVP user interaction model was established based on three aspects: activity, attention, and interactivity. Next, user preference for short videos was examined through cluster analysis and evaluation. Finally, the authors summarized the behavior features of OSVP user interaction and investigated user interaction to decide which videos should be pushed to users. The average utility and average cost of user interaction behavior were compared, indicators of degree centrality were summarized, and the validity of the proposed algorithm was verified by experimental results.

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A new approach for index construction: The case of the road user behavior index

Cited by 9 publications

References 28 publications

Driving Behavior Based Relative Risk Evaluation Using a Nonparametric Optimization Method

Driving Behavior Based Relative Risk Evaluation Using a Nonparametric Optimization Method

Evaluation of Road Safety Performance Based on Self-Reported Behaviour Data Set

Behavior Analysis of User Interaction on Online Short Video Platform

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