Creating a composite road safety performance index by a hierarchical fuzzy TOPSIS approach

Research output: Contribution to report/book/conference proceedingsIn-proceedings paper

Standard

Creating a composite road safety performance index by a hierarchical fuzzy TOPSIS approach. / Bao, Qiong; Ruan, Da; Shen, Yongjun; Hermans, Elke; Wagemans, Jan (Peer reviewer).

Proceedings of 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering. Beijing, China, 2010. p. 458-463.

Research output: Contribution to report/book/conference proceedingsIn-proceedings paper

Harvard

Bao, Q, Ruan, D, Shen, Y, Hermans, E & Wagemans, J 2010, Creating a composite road safety performance index by a hierarchical fuzzy TOPSIS approach. in Proceedings of 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering. Beijing, China, pp. 458-463, 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering, Hangzhou, China, 2010-11-15.

APA

Bao, Q., Ruan, D., Shen, Y., Hermans, E., & Wagemans, J. (2010). Creating a composite road safety performance index by a hierarchical fuzzy TOPSIS approach. In Proceedings of 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering (pp. 458-463). Beijing, China.

Vancouver

Bao Q, Ruan D, Shen Y, Hermans E, Wagemans J. Creating a composite road safety performance index by a hierarchical fuzzy TOPSIS approach. In Proceedings of 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering. Beijing, China. 2010. p. 458-463

Author

Bao, Qiong ; Ruan, Da ; Shen, Yongjun ; Hermans, Elke ; Wagemans, Jan. / Creating a composite road safety performance index by a hierarchical fuzzy TOPSIS approach. Proceedings of 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering. Beijing, China, 2010. pp. 458-463

Bibtex - Download

@inproceedings{a14774d564b948f2ae8374bddb885778,
title = "Creating a composite road safety performance index by a hierarchical fuzzy TOPSIS approach",
abstract = "With the increasing public awareness of the complexity of road safety phenomenon, much more detailed aspects of crash and injury causation rather than only crash data (e.g., the number of road fatalities) are extensively investigated in the current road safety research. Safety performance indicators (SPIs), which are causally related to the number of crashes or to the injury consequences of a crash, are thus rapidly developed and increasingly used. Furthermore, to measure the multidimensional concept of road safety which cannot be captured by a single indicator, the exploration of a composite road safety performance index is attractive and desirable. This study proposes a hierarchical fuzzy TOPSIS method to combine the multilayer SPIs into one overall index by incorporating experts’ opinions. Using the number of road fatalities per million inhabitants as a relevant point of reference, the proposed method has proven valuable as an alternative way in creating a composite road safety performance index for a set of European countries. Meanwhile, it effectively handles experts' linguistic expressions instead of crisp values and takes the layered hierarchy of the indicators into account which is seldom considered in the current index research.",
keywords = "road safety performance indicators, composite index, multi-criteria decision making, TOPSIS, fuzzy set theory",
author = "Qiong Bao and Da Ruan and Yongjun Shen and Elke Hermans and Jan Wagemans",
note = "Score = 3",
year = "2010",
month = "11",
language = "English",
isbn = "978-1-4244-6792-1",
pages = "458--463",
booktitle = "Proceedings of 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering",

}

RIS - Download

TY - GEN

T1 - Creating a composite road safety performance index by a hierarchical fuzzy TOPSIS approach

AU - Bao, Qiong

AU - Ruan, Da

AU - Shen, Yongjun

AU - Hermans, Elke

A2 - Wagemans, Jan

N1 - Score = 3

PY - 2010/11

Y1 - 2010/11

N2 - With the increasing public awareness of the complexity of road safety phenomenon, much more detailed aspects of crash and injury causation rather than only crash data (e.g., the number of road fatalities) are extensively investigated in the current road safety research. Safety performance indicators (SPIs), which are causally related to the number of crashes or to the injury consequences of a crash, are thus rapidly developed and increasingly used. Furthermore, to measure the multidimensional concept of road safety which cannot be captured by a single indicator, the exploration of a composite road safety performance index is attractive and desirable. This study proposes a hierarchical fuzzy TOPSIS method to combine the multilayer SPIs into one overall index by incorporating experts’ opinions. Using the number of road fatalities per million inhabitants as a relevant point of reference, the proposed method has proven valuable as an alternative way in creating a composite road safety performance index for a set of European countries. Meanwhile, it effectively handles experts' linguistic expressions instead of crisp values and takes the layered hierarchy of the indicators into account which is seldom considered in the current index research.

AB - With the increasing public awareness of the complexity of road safety phenomenon, much more detailed aspects of crash and injury causation rather than only crash data (e.g., the number of road fatalities) are extensively investigated in the current road safety research. Safety performance indicators (SPIs), which are causally related to the number of crashes or to the injury consequences of a crash, are thus rapidly developed and increasingly used. Furthermore, to measure the multidimensional concept of road safety which cannot be captured by a single indicator, the exploration of a composite road safety performance index is attractive and desirable. This study proposes a hierarchical fuzzy TOPSIS method to combine the multilayer SPIs into one overall index by incorporating experts’ opinions. Using the number of road fatalities per million inhabitants as a relevant point of reference, the proposed method has proven valuable as an alternative way in creating a composite road safety performance index for a set of European countries. Meanwhile, it effectively handles experts' linguistic expressions instead of crisp values and takes the layered hierarchy of the indicators into account which is seldom considered in the current index research.

KW - road safety performance indicators

KW - composite index

KW - multi-criteria decision making

KW - TOPSIS

KW - fuzzy set theory

UR - http://ecm.sckcen.be/OTCS/llisapi.dll/open/ezp_109336

UR - http://ecm.sckcen.be/OTCS/llisapi.dll/open/ezp_109336_2

UR - http://knowledgecentre.sckcen.be/so2/bibref/7365

M3 - In-proceedings paper

SN - 978-1-4244-6792-1

SP - 458

EP - 463

BT - Proceedings of 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering

CY - Beijing, China

ER -

ID: 97083