基于考核“偏好”指标性分析 与M-SVM信息预测的区域交通规划 ——以榆林地区为例

重庆交通大学学报（社会科学版） ›› 2015, Vol. 15 ›› Issue (4): 19-26.

基于考核“偏好”指标性分析与M-SVM信息预测的区域交通规划 ——以榆林地区为例

贺建龙

西安交通大学博士后流动站，西安 710000

收稿日期:2015-02-04 修回日期:2015-05-18 出版日期:2015-08-31 发布日期:2016-01-29
作者简介:贺建龙（1977-），男，陕西清涧人，西安交通大学博士后流动站在站博士后，研究方向：信息哲学，交通规划、绩效。

Analysis of Area Traffic Planning and Prediction Based on “Preferences” Index or MSVM Information --An Example of Yulin District

HE Jianlong

(Postdoctoral Research Station, Xian Jiaotong University, Xi an 710000, China)

Received:2015-02-04 Revised:2015-05-18 Online:2015-08-31 Published:2016-01-29

摘要/Abstract

摘要： 研究区域交通规划问题，提出综合SVM等方法预测的M-SVM方法。结合发达国家交通建设经验，研究中国某经济后发地区的交通规划战略及其目标任务。分析当下党政领导班子和领导干部考核指标对区域交通规划的导向性和局限性，提出了基于内容偏好的指标分析方法，构建了交通部门规划业务考核指标系统，预测了相关指标量。

关键词: 信息, 交通规划, 考核

Abstract: The transportation planning problems of local governments are studied. The method of MSVM is used by the researchers. For the construction experiences of America today, the strategy and its goals of transportation planning of Chinese local government were thought about. The evaluation index of local government today is limited but guiding the direction of transportation development in the future, so the index systems are provided but based on “preferences” of contents. The evaluation index of traffic planning is used. Some of the value of index is predicted.

Key words: information, transportation planning, evaluation

贺建龙. 基于考核“偏好”指标性分析与M-SVM信息预测的区域交通规划 ——以榆林地区为例[J]. 重庆交通大学学报（社会科学版）, 2015, 15(4): 19-26.

HE Jianlong. Analysis of Area Traffic Planning and Prediction Based on “Preferences” Index or MSVM Information --An Example of Yulin District[J]. , 2015, 15(4): 19-26.

参考文献

［1］〖JP3〗Layne K,Lee J.Developing fully functional egovernment:A fourstage model［J］.Government Information Quarterly,2001,18:122-136.〖JP〗
［2］McTigue Ellig Richardson.5th Annual Performance Report Scorecard:Which Agencies Best Inform the Public［Z］.2004-04.
［3］Paul J Longo.The Performance Blueprint,An Integrated Logic Model Developed to Enhance Performance Measurement Literacy:The Case of PerformanceBased Contract Management［C］.2002 Annual Conference of the American Evaluation Association,2002-06:6-10.
［4］Poister T H.A study of performance measurement systems in state transportation departments［J］.Public Works Management & Policy,1997,1(4):323-341.
［5］Poister T H,Gregory Streib.Performance measurement in municipal government:Assessing the state of the practice［J］.Public Administration Review,1999,59(4):225-335.
［6］SaacHenry Kester,Chris Painter,Chris Barnes.Management in the Public Sector:Challenge and Change［M］.2nd ed.London:Thomson Business Press,1997:89-92.
［7］〖JP3〗Urban Institute,ICMA.Comparative Performance Measurement:FY 1995 Data Report［R］.Washington, DC:Urban Institute and ICMA,1997.〖JP〗
［8］〖JP3〗Fenwick John.Managing Local Government［M］.London:Chapman and Hall,1995:104-143.〖JP〗
［9］Flynn Norman.Public Sector Management［M］.3rd ed.New Jersey:Prentice Hall,2010:173.
［10］Robert S Kaplan,David P Norton.The balanced scorecard measures that drive performance［J］.Harvard Business Review,1992(1-2):71-79.
［11］Fitzgerald L,Johnston R,Brignal S,et al.Performance Measurement in Service Businesses［M］.Unwin,Surrey:The Chartered Institute of Management Accountants,1991.
［12］〖JP3〗Papageorgiou M.Dynamic modeling,assignment,and route guidance in traffic networks［J］.Transpn.Res.-B,1990,24(6):471-495.〖JP〗
［13］Messmer A,Papageorhiou M.Automatic control method applied to freeway network tfaffic［J］.Automatica,1994,30(4):691-702.
［14］〖JP2〗Goldstein N B.A decentralized control strategy for freeway regulation［J］.Transpn.Res.B, 1982,16(4):190-279.〖JP〗
［15］〖JP2〗Mahmoud M S.Optimization of freeway traffic control problems［J］.Optimal Control Application and Methods,1988,9:37-49.〖JP〗
［16］〖JP2〗Zhang H.Some general results on the optimal ramp control problems［J］.Transpn.Res.C,1996, 4(2):51-69.〖JP〗
［17］Ritchie G.Simulation of freeway incident detection using artificial neural networks［J］. Transpn.Res.-C,1993(1):203-217.
［18］Smith B L,Demetsky M J.Shortterm Traffic Flow Prediction:Neuralnetwork Approach［Z］.Trans portation Research Record 1453,1996:98-104.
［19］Corinne L.An urban traffic flow model integrating neural networks［J］.Transportation Resea ch C,1997,5:287-300.
［20］Lam H K,Huang H J.Dynamic user optional traffic assignment model for many to one travel demand［J］.Transportation Science,1995,29B:160-243.
［21］Ran R.Anew class of instantaneous dynamic useroptimal traffic assignment models［J］.Operat ions Res,1993(l):41.
［22］Kumar R,et al.Optimal supervisory control of discrete event systems［J］.SIAM J. Control and Optimization,1995,33:419-439.
［23］Papageorgiou M.Modeling and realtime control of traffic flow on the southern part of boulevard peripherique in Paris:Part I:Modeling［J］.Tranpsn.Res.－A,1990,24(5):345-359.
［24］〖JP3〗Newell G F.Comments on Traffic Dynamics［J］.Transpn.Res.－B,1989,23(5):386-389.〖JP〗
［25］Grewal M S,Payne H J.Identification of parameters in a freeway traffic model［J］.IEEE Trans. on SMC,1976,6(3):176-185.
［26］Cremer M,Papageorgiou M.Parameter identification for a traffic flow model［J］.Automatica, 1981,17(6):837-843.
［27］Cremer M,May A D.An extended traffic flow model for inner urban freeways［Z］.Proc.of 5th IFAC/IFIP/IFORS Intern. Conf.on Control in Transpn System,1986:239-244.
［28］Nahi N E.Freeway－traffic data processing［J］.Proceedings of the IEEE,1973,61(5):537-541.
［29］Willsky A S.Dynamic model－based techniques for the detection of incidents on freeways［J］. IEEE Trans.on AC.,1980,25(3):347-359.
［30］Stephanedes J.Freeway incidents detection through filtering［J］.Transpn.Res.-C.,1993,1(3): 218-233.
［31］张瑞.我国政府绩效评估的利益分析［J］.南京师大学报(社会科学版),2010,6(6):24-25.
［32］吴江.基于价值管理的政府绩效评估体系研究［D］.长春:吉林大学,2007:88-89.
［33］彭国甫.地方政府公共事业的管理绩效评价与治理对策研究［D］.长沙:湖南大学,2005:79-80.
［34］史忠科.河流水质模型求解的Chebyshev正交多项式方法［J］.控制与决策,2005(6):709-712.
［35］于少伟,史忠科.信号交叉口集聚车辆跟驰模型［J］.中国公路学报,2014(11):93-100.

[1]	谢潇1，2. 利益衡平视角下个人信息处理规则研究[J]. 重庆交通大学学报(社会科学版), 2023, 23(2): 26-35.
[2]	党振兴. 大数据时代个人信息安全现状与保护[J]. 重庆交通大学学报(社会科学版), 2022, 22(4): 14-22.
[3]	杜小红，杨静冉. 信息时代言语社团概念泛化的认知阐释[J]. 重庆交通大学学报(社会科学版), 2021, 21(5): 85-90.
[4]	问延安1，方2. 基于知识图谱的国际防疫研究述评[J]. 重庆交通大学学报（社会科学版）, 2021, 21(2): 16-23.
[5]	彭红. 信息时代高校科研档案管理工作创新模式探究[J]. 重庆交通大学学报（社会科学版）, 2019, 19(5): 119-124.
[6]	赵鹏宇，汪桃羽. 在线信息对饭店产品预订的影响[J]. 重庆交通大学学报（社会科学版）, 2019, 19(4): 72-77.
[7]	余新兵. 证人证言可信度评价的语篇信息成分分析途径 ——一项前导性研究[J]. 重庆交通大学学报（社会科学版）, 2019, 19(3): 120-125.
[8]	杨亚西，姚宇淇，杨波. 共享车位发展的影响因素及对策[J]. 重庆交通大学学报（社会科学版）, 2018, 18(6): 61-67.
[9]	梁子裕. 大数据视阈下的高校科研管理[J]. 重庆交通大学学报（社会科学版）, 2018, 18(4): 127-131.
[10]	胡应泉. 我国市场经济发展中的诚信建设[J]. 重庆交通大学学报（社会科学版）, 2018, 18(2): 103-109.
[11]	马亮1，马雪城2. 轨道沿线居民出行方式选择行为研究 ——以深圳市为例[J]. 重庆交通大学学报（社会科学版）, 2017, 17(6): 25-29.
[12]	李晓玲. 高校直属科研所文献信息咨询服务探讨[J]. 重庆交通大学学报（社会科学版）, 2017, 17(4): 146-149.
[13]	任其亮，王亚龙，靳旭刚. 博山城区居民出行特征分析及交通发展对策[J]. 重庆交通大学学报（社会科学版）, 2016, 16(3): 47-51.
[14]	敖成兵. 信息权力视角下的高校思政类慕课教学探讨[J]. 重庆交通大学学报（社会科学版）, 2016, 16(2): 119-123.
[15]	程桂龙. 信息化时代高校学生干部自我管理的困境与选择[J]. 重庆交通大学学报（社会科学版）, 2016, 16(1): 94-98.