交通与计算机
交通與計算機
교통여계산궤
COMPUTER AND COMMUNICATIONS
2008年
5期
69-75
,共7页
贡献值%国道主干线%交通安全%事故率%经济损失
貢獻值%國道主榦線%交通安全%事故率%經濟損失
공헌치%국도주간선%교통안전%사고솔%경제손실
contribution%trunk highway system%traffic safety%accident rate%economic loss
选取了5个省市的7条高速公路和6条并行普通国省道作为课题研究的基础道路,应用"有无对比"分析方法,确定了高速公路相对于并行普通公路的事故率降低标准,并确定了高速公路交通事故经济损失指标.在此基础上,总结提出了高速公路减少事故伤亡人数及挽回事故经济损失的计算公式.最后,以沈大高速公路、成渝高速公路为案例,计算了上述2条高速公路通车运营以来对交通安全的贡献值,研究成果为总结"五纵七横"国道主干线交通安全运营状况提供了基本数据和计算依据.估算结果显示,国道主干线的使用减少了约9万起交通事故,挽救了10万人的生命,并使58万人免于受伤,挽回了125亿元人民币的事故经济损失.
選取瞭5箇省市的7條高速公路和6條併行普通國省道作為課題研究的基礎道路,應用"有無對比"分析方法,確定瞭高速公路相對于併行普通公路的事故率降低標準,併確定瞭高速公路交通事故經濟損失指標.在此基礎上,總結提齣瞭高速公路減少事故傷亡人數及輓迴事故經濟損失的計算公式.最後,以瀋大高速公路、成渝高速公路為案例,計算瞭上述2條高速公路通車運營以來對交通安全的貢獻值,研究成果為總結"五縱七橫"國道主榦線交通安全運營狀況提供瞭基本數據和計算依據.估算結果顯示,國道主榦線的使用減少瞭約9萬起交通事故,輓救瞭10萬人的生命,併使58萬人免于受傷,輓迴瞭125億元人民幣的事故經濟損失.
선취료5개성시적7조고속공로화6조병행보통국성도작위과제연구적기출도로,응용"유무대비"분석방법,학정료고속공로상대우병행보통공로적사고솔강저표준,병학정료고속공로교통사고경제손실지표.재차기출상,총결제출료고속공로감소사고상망인수급만회사고경제손실적계산공식.최후,이침대고속공로、성투고속공로위안례,계산료상술2조고속공로통차운영이래대교통안전적공헌치,연구성과위총결"오종칠횡"국도주간선교통안전운영상황제공료기본수거화계산의거.고산결과현시,국도주간선적사용감소료약9만기교통사고,만구료10만인적생명,병사58만인면우수상,만회료125억원인민폐적사고경제손실.
The contribution of national trunk highway system to traffic safety was analyzed based on a large quantitative data collected from 7 freeways and 6 minor arterial highways. Firstly, the accident rates reduced by the use of trunk highways were established when trunk highways were compared with their competitive minor highways. Then, the economic loss for accidents occurring on trunk highways was determined based on statistic analysis. Secondly, the methodologies to calculate the lives saved, the injuries avoided, as well as the economic gains from the use of trunk highways were summarized. Then, Shen-Da Freeway and Cheng-Yu Freeway were selected as two cases to illustrate the use of the methods given above. Finally, the contribution of the whole national trunk highway system to traffic safety was estimated, which showed the fact that this system prevented nearly 900,000 accidents, spared the lives of at least 100,000 people, avoided injuries of 580,000 people, and saved economic gains of 12.5 billion RMB Yuans.