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      도시부도로 제한속도 산정모형 개발 및 효과분석 연구 = Development of Speed Limits Estimation Model and Analysis of Effects in Urban Roads

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      https://www.riss.kr/link?id=A103127559

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      다국어 초록 (Multilingual Abstract)

      Appropriate speed limits at a reasonable level in urban roads are highly important factors for efficient and safe movement. Thus, it is greatly necessary to develop the objective models or methodology based on engineering study considering factors such as traffic accident rates, roadside development levels, and roadway geometry characteristics etc. The purpose of this study is to develop the estimate model of appropriate speed limits at each road sections in urban roads using traffic information big data and field specific data and to review the effects of accident decrease. In this study, the estimate method of appropriate speed limits in directional two or more lanes of urban roads is reflecting features of actual variables in a form of adjustment factor on the basis of the maximum statutory speed limits. As a result of investigating and testing influential variables, the main variables to affect the operating speed are the function of road, the existence of median, the width of lane, the number of traffic entrance/exit path and the number of traffic signal or nonsignal at intersection and crosswalk. As a result of testing this model, when the differences are bigger between the real operating speed and the recommended speed limits using model developed in this study, the accident rate generally turns out to be higher. In case of using the model proposed in this study, it means accident rate can be lower. When the result of this study is applied, the speed limits of directional two or more lane roads in Seoul appears about 11km/h lower than the current speed limits. The decrease of average operating speed caused by the decrease of speed limits is 2.8km/h, and the decrease effect of whole accidents according to the decrease of speed is 18% at research road. In case that accident severity is considered, the accident decrease effects are expected to 17~24% in fatalities, 11~17% in seriously injured road user, 6~9% in slightly injured road user, 5~6% in property damage only accidents.
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      Appropriate speed limits at a reasonable level in urban roads are highly important factors for efficient and safe movement. Thus, it is greatly necessary to develop the objective models or methodology based on engineering study considering factors suc...

      Appropriate speed limits at a reasonable level in urban roads are highly important factors for efficient and safe movement. Thus, it is greatly necessary to develop the objective models or methodology based on engineering study considering factors such as traffic accident rates, roadside development levels, and roadway geometry characteristics etc. The purpose of this study is to develop the estimate model of appropriate speed limits at each road sections in urban roads using traffic information big data and field specific data and to review the effects of accident decrease. In this study, the estimate method of appropriate speed limits in directional two or more lanes of urban roads is reflecting features of actual variables in a form of adjustment factor on the basis of the maximum statutory speed limits. As a result of investigating and testing influential variables, the main variables to affect the operating speed are the function of road, the existence of median, the width of lane, the number of traffic entrance/exit path and the number of traffic signal or nonsignal at intersection and crosswalk. As a result of testing this model, when the differences are bigger between the real operating speed and the recommended speed limits using model developed in this study, the accident rate generally turns out to be higher. In case of using the model proposed in this study, it means accident rate can be lower. When the result of this study is applied, the speed limits of directional two or more lane roads in Seoul appears about 11km/h lower than the current speed limits. The decrease of average operating speed caused by the decrease of speed limits is 2.8km/h, and the decrease effect of whole accidents according to the decrease of speed is 18% at research road. In case that accident severity is considered, the accident decrease effects are expected to 17~24% in fatalities, 11~17% in seriously injured road user, 6~9% in slightly injured road user, 5~6% in property damage only accidents.

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      참고문헌 (Reference)

      1 "http://safety.fhwa.dot.gov/uslimits"

      2 D. Shinar, "Traffic Safety and Human Behavior" Elsevier 274-281, 2007

      3 C. U. Doo, "Traffic Safety Engineering" ChungMoonGak 163-167, 2013

      4 G. Nilsson, "Traffic Safety Dimensions and the Power Model to Describe the Effect of Speed on Safety" Lund Institute of Technology 2004

      5 TAAS, "Traffic Accident Analysis System"

      6 R. Elvik, "The Power Model of the Relationship between Speed and Road Safety -Update and New Analyses-" TOI 2009

      7 M. C. Taylor, "The Effects of Drivers’ Speed on the Frequency of Road Accidents" TRL 2000

      8 J. Stuster, "Synthesis of Safety Research Related to Speed and Speed Management" FHWA 1998

      9 E. Hauer, "Speed and Safety" Transportation Research Record (2103) : 11-12, 2009

      10 R. Elvik, "Speed and Road Accidents-An evalulation of the Power Model-" TOI 2004

      1 "http://safety.fhwa.dot.gov/uslimits"

      2 D. Shinar, "Traffic Safety and Human Behavior" Elsevier 274-281, 2007

      3 C. U. Doo, "Traffic Safety Engineering" ChungMoonGak 163-167, 2013

      4 G. Nilsson, "Traffic Safety Dimensions and the Power Model to Describe the Effect of Speed on Safety" Lund Institute of Technology 2004

      5 TAAS, "Traffic Accident Analysis System"

      6 R. Elvik, "The Power Model of the Relationship between Speed and Road Safety -Update and New Analyses-" TOI 2009

      7 M. C. Taylor, "The Effects of Drivers’ Speed on the Frequency of Road Accidents" TRL 2000

      8 J. Stuster, "Synthesis of Safety Research Related to Speed and Speed Management" FHWA 1998

      9 E. Hauer, "Speed and Safety" Transportation Research Record (2103) : 11-12, 2009

      10 R. Elvik, "Speed and Road Accidents-An evalulation of the Power Model-" TOI 2004

      11 N. J. Garber, "Speed Variance and Its Influence on Accidents" AAA Foundation for Traffic Safety 1-34, 1988

      12 WHO, "Speed Management –A Road Safety Manual for Decision-makers and Practitioners"

      13 OECD, "Speed Management"

      14 B. N. Fildes, "Speed Behaviour and Briver's Bttitude to Speeding" VIC Roads 56-69, 1991

      15 R. Bauer, "Road Traffic Accidents in European Urban Areas" 2016

      16 OECD, "Road Safety Annual Report" 33-44, 2016

      17 FHWA, "Public Roads, Setting Speed Limits for Safety"

      18 H. J. Jeong, "Prediction of Main Road Traffic Conditions with Prove Vehicle for a Basis in Urban Road, Spring Academic Meeting" Korea Society of Transportation 2016

      19 G, J, Forbes, "Methods and Practices for Setting Speed Limits-An Informational Report-" Fhwa 1-32, 2012

      20 TRB, "Managing Speed ; Review of Current Practice for Setting and Enforcing Speed Limits" 15-138, 1998

      21 Cirillo, "Interstate System Aaccident Research Study II"

      22 Austroads, "Guide to Road Safety(part 3 : Speed Limits and Speed Management)"

      23 WHO, "Global Status Report on Road Safety" 9-13, 2013

      24 WHO, "Global Status Report on Road Safety" 11-15, 2015

      25 R. Srinivasan, "Expert System for Recommending Speed Limits in Speed Zones Final Report" TRB 39-42, 2006

      26 M. R. Jr.Parker, "Effects of Raising and Lowering Speed Limits on Selected Roadway Sections" FHWA 1997

      27 M. H. Hossseinlou, "Determining Optimal Speed Limits in Traffic Networks" 39 : 36-41, 2015

      28 J. J. Lu, "Criteria for Setting Speed Limits in Urban and Suburban Areas in Florida" Florida DOT 2003

      29 California Department of Transportation, "California Manual for Setting Speed Limits"

      30 R. Elvik, "Assessing Causality in Multivariate Accident Models" 43 : 253-264, 2011

      31 E. Hauer, "An Empirical Examination of the Relationship between Speed and Road Accidents based on data by Elvik" HCHRP f1-f53, 2006

      32 J. O. Kim, "An Analysis of Error Factors When Traffic Volume Predicted with Navigation loaded Vehicles" 2016

      33 R. Elvik, "A re-parameterisation of the Power Model of the Relationship between the Speed of Traffic and the number of Accidents and Accident Victims" 854-860, 2013

      34 S. L. Choi, "A Case of Speed Limits Improvement for Prevention of Traffic Accidents in Japan" Kukto Yeon gu 2014

      35 Seoul Metropolitan City, "2015 Seoul Metropolitan City Traffic Monitoring Data"

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2027 평가예정 재인증평가 신청대상 (재인증)
      2021-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2018-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2015-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2011-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2009-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2007-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2005-10-26 학술지명변경 한글명 : 산업안전학회지 -> 한국안전학회지 KCI등재
      2005-02-28 학회명변경 한글명 : 한국산업안전학회 -> 한국안전학회
      영문명 : The Korean Institute Of Industrial Safety -> The Korean Society of Safety
      KCI등재
      2004-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2003-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2001-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.3 0.3 0.31
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.28 0.27 0.519 0.12
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