出租车司机社会贡献评价方法研究

doi:10.12005/orms.2022.0159

运筹与管理 ›› 2022, Vol. 31 ›› Issue (5): 130-135.DOI: 10.12005/orms.2022.0159

出租车司机社会贡献评价方法研究

张硕硕, 党延忠

大连理工大学系统工程研究所,辽宁大连 116024

收稿日期:2018-01-31 出版日期:2022-05-25 发布日期:2022-07-20
作者简介:张硕硕(1993-),女,山东菏泽人,硕士研究生;党延忠(1954-),男,辽宁营口人,教授,博士生导师。
基金资助:
国家自然科学基金资助项目(71471028)

Researches on Evaluation Methods for Taxi Drivers' Contribution to Society

ZHANGShuo-shuo, DANG Yan-zhong

Institute of Systems Engineering, Dalian University of Technology, Dalian 116024, China

Received:2018-01-31 Online:2022-05-25 Published:2022-07-20

摘要/Abstract

摘要： 出租车司机的社会贡献对于促进城市经济发展和社会进步具有重要的作用,评价出租车司机的社会贡献是激励出租车司机多做社会贡献的重要手段。为了评价出租车司机的社会贡献,本文提出了一种基于实际出租车运营数据的评价方法。本文设计了运营特性、重点区域、恶劣天气、大事件四个体现司机社会贡献的指标,以此构建了出租车司机社会贡献评价指标体系,进而选用了主观赋权法G1法和客观赋权法拉开档次法相结合的赋权方式对指标赋权,并选择四种评价信息集结方法建立了出租车司机社会贡献评价模型。最后,通过实际的出租车运营数据验证了本方法的可行性。本文为评价出租车司机社会贡献提供了一种研究思路和方法,并对政府政策的制定和企业策略的实施具有一定的启示。

关键词: 出租车, 司机, 社会贡献, 运营数据, 评价

Abstract: Taxi driver's contribution to society plays an important role in promoting urban economic development and social progress. The evaluation of taxi driver's contribution to society is an important means to inspire taxi driver to make contribution to the society. The goal of this paper is to evaluate taxi drivers' contribution to society. The paper proposes a method to evaluate taxi drivers' contribution to society based on the actual taxi operational data. And it summarizes taxi drivers' social contribution evaluation indexes including operating characteristic, key region, adverse weather and special event. And then this paper calculates the final weight ratio based on subjective values of G1 method and objectively deviation maximization method and establishes taxi drivers' social contribution evaluation model by using four methods of evaluation information aggregation. Finally, the feasibility of the model is demonstrated by the actual taxi operational data. This paper puts forward a new research idea to evaluate taxi drivers' contribution to society and has certain enlightenment to the formulation of government policies and the implementation of enterprise strategy.

Key words: taxi, driver, contribution to society, operational data, evaluation

中图分类号:

N945.16

张硕硕, 党延忠. 出租车司机社会贡献评价方法研究[J]. 运筹与管理, 2022, 31(5): 130-135.

ZHANGShuo-shuo, DANG Yan-zhong. Researches on Evaluation Methods for Taxi Drivers' Contribution to Society[J]. Operations Research and Management Science, 2022, 31(5): 130-135.

参考文献

[1] Kang C, Qin K. Understanding operation behaviors of taxicabs in cities by matrix factorization[J]. Computers Environment and Urban Systems. 2016, 60: 79-88.
[2] 王野林.关于公共产品属性与其外部性的思考[J].经济视角,2011,(11):113-114.
[3] Iravani M R, Razi Z. An empirical study to investigate the effects of social capital on social contribution[J]. Management Science Letters. 2011, 1(4): 607-612.
[4] M F, B E, T G A R. Frequency of negative critical incidents and satisfaction with public transport services[J], 2001, 8: 105-114.
[5] 邓元慧,欧国立.北京市出租车运用效率评价与分析[J].综合运输,2009,(6):54-59.
[6] 姚志刚.因子载荷加权SERVQUAL评价出租汽车乘客感知服务质量[J].武汉理工大学学报(社会科学版),2010,23(1):82-86.[7] 张宜民,王天舟.出租车驾驶人绩效考核评价指标体系研究[J].西部交通科技,2016(10): 93-97.
[8] 李柏洲,齐鑫,徐广玉.基于组合赋权模型的区域知识创造能力评价研究——31个省市自治区视阈的实证分析[J].运筹与管理,2016,25(3):178-185.
[9] Li B, Zhang D, Sun L, et al. Hunting or waiting? discovering passenger-finding strategies from a large-scale real-world taxi dataset[C]. International Conference on Pervasive Computing and Communications Workshops, 2011: 63-68.
[10] Liu D, Cheng S F, Yang Y. Density peaks clustering approach for discovering demand hot spots in city-scale taxi fleet dataset[C]. International Conference on Intelligent Transportation Systems. 2015: 1831-1836.
[11] Liu L, Andris C, Ratti C. Uncovering cabdrivers' behavior patterns from their digital traces[J]. Computers Environment and Urban Systems. 2010, 34(6): 541-548.
[12] Real R, Vargas J M. The probabilistic basis of Jaccard's index of similarity[J]. Systematic Biology. 1996, 45(3): 380-385.
[13] Li X, Pan G, Wu Z, et al. Prediction of urban human mobility using large-scale taxi traces and its applications[J]. Frontiers of Computer Science., 06(1): 111-121.
[14] Khattak A J, Palma A D. The impact of adverse weather conditions on the propensity to change travel decisions: a survey of brussels commuters[J]. Transportation Research Part A Policy & Practice, 1997, 31(3): 181-203.
[15] Bylsma R G, Carson J L. Transportation planning and management for special events[M]. Washington, D.C.: National Academy Press, 2003.
[16] 郭亚军.综合评价理论、方法及应用[M].科学出版社,2008.
[17] 郭亚军,马凤妹,董庆兴.无量纲化方法对拉开档次法的影响分析[J].管理科学学报,2011,14(5):19-28.
[18] Wang X, Guo Y. Analyzing the consistency of comparison matrix based on G1 method[J]. Chinese Journal of Management Science, 2006, 14(3): 65-70.
[19] Guo M, Chen W, Jin Q, et al. Research on the dynamic comprehensive evaluation of power quality based on the improved scatter degree[C]. International Power, Electronics and Materials Engineering Conference, 2015, 17: 694-701.
[20] Shih H, Shyur H, Lee E S. An extension of TOPSIS for group decision making[J]. Mathematical and Computer Modelling, 2007, 45(7): 801-813.

出租车司机社会贡献评价方法研究

Researches on Evaluation Methods for Taxi Drivers' Contribution to Society

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