Based on the survey data of meteorological service in highway transportation industry in 2019, the demand and supply characteristics of meteorological service in highway traffic and the satisfaction index of users are analyzed. According to the results, more than 60% of experts believed that fog, rainfall and snowfall were the most important meteorological elements for highway transportation, but the demand varied with different production links. For service products, the demand for early warning, forecasting, monitoring and impact assessment decreased successively, but all of them exceeded 95%. The meteorological department basically met the demand except for the insufficient supply capacity of impact assessment. However, there was a slight redundancy in the timeliness of product provision and element categories (temperature and strong wind). Mobile client and sharing platform were the most popular channels for users to obtain service products. Although the channels provided by meteorological departments were diversified, they still gave priority to traditional ways such as website, telephone and email. The comprehensive satisfaction score of experts on meteorological service information was 89.4, in which the national score of integrity, timeliness and accuracy decreased in turn. The satisfaction evaluation result of highway operation link was the highest and that of private enterprise was the lowest.
WANG Yuhong
,
SONG Jianyang
,
WANG Zhi
,
YUAN Xiaoyu
,
GAO Jingjing
,
LI Xiaozhu
,
ZHANG Xiaomei
. Supply-demand analysis and satisfaction evaluation of highway traffic meteorological service[J]. Science & Technology Review, 2022
, 40(9)
: 105
-112
.
DOI: 10.3981/j.issn.1000-7857.2022.09.012
[1] 交通运输部.2020年交通运输行业发展统计公报[J].交通财会, 2021(6):92-97.
[2] 许小峰.现代气象服务[M].北京:气象出版社, 2010.
[3] 矫梅燕, 章国材, 曲晓波.现代天气业务(下册)[M].北京:气象出版社, 2010.
[4] 刘聪, 卞光辉, 黎健.交通气象灾害[M].北京:气象出版社, 2009.
[5] Hranac R, Sterzin E D, Krechmer D, et al.Empirical studies on traffic flow in inclement weather[R].Washington, D.C.:Federal Highway Administration, 2006.
[6] 裴玉龙, 王炜.道路交通事故成因及预防对策[M].北京:科学出版社, 2004.
[7] 王志, 韩焱红, 李蔼恂.我国公路交通气象研究与业务进展[J].气象科技进展, 2017, 7(1):85-89.
[8] 丁德平, 李迅.北京城市交通气象服务[J].气象软科学, 2009(3):71-72.
[9] 田小毅, 袁成松, 吴震.高速公路上霾雾演变及其对能见度的影响[J].气象科技, 2010, 38(6):673-678.
[10] 田华, 王志, 戴至修, 等.公路积水阻断与降雨关系的探讨[J].气象, 2018, 44(5):684-691.
[11] 丰德恩, 唐卫, 柳艳香, 等.中国高速公路交通气象灾害风险预警业务系统设计与应用[J].气象科技, 2018, 46(4):194-200.
[12] 武永峰, 张勇, 陈鲜艳, 等.湖南省公路交通暴雨风险评价研究[J].自然灾害学报, 2011, 20(5):148-154.
[13] 宋建洋, 柳艳香, 田华, 等.我国高速公路大风灾害风险评估与区划研究[J].公路, 2018, 63(12):182-187.
[14] 李筱竹, 张晓美, 吕明辉, 等.基于社会调查的农业气象服务需求分析[J].农学学报, 2019, 9(9):82-90.
[15] 陈莉, 韩冰, 李百超, 等.黑龙江省农业气象灾害服务需求分析[J].灾害学, 2019, 34(2):78-82.
[16] 张爱民, 马晓群.农业气象服务需求调查与思考[J].气象软科学, 2010(6):37-43.
[17] 尤焕苓, 尹志聪, 高云昆, 等.北京市旅游气象服务需求分析[C]//中国气象学会年会.厦门:第28届中国气象学会年会, 2011:1-12.
[18] 严晓瑜.宁夏旅游气象服务效益评估和服务需求调查[J].气象科技, 2012, 40(6):1068-1074.
[19] 施娟, 周莉蓉, 康宁.成都市旅游气象服务需求分析[J].湖北民族学院学报(自然科学版), 2013, 31(3):346-349.
[20] 田华, 吴昊, 杨静, 等.公路交通决策气象服务需求分析[J].气象与环境科学, 2018, 41(4):72-78.
[21] 吴林荣, 罗慧, 鲁渊平, 等.2010年陕西决策部门气象服务需求调查分析[J].陕西气象, 2011(4):33-36.
[22] 陆文, 翟志宏, 莫凡.三防联合值守的决策气象服务需求分析和建议[J].广东气象, 2019(6):43-46.
[23] 杨静, 李冰峰.3G时代我国公众对气象信息产品的需求分析[J].气象软科学, 2011(6):99-104.
[24] 陈申鹏, 徐文文, 李磊.基于公众咨询的深圳公共气象服务需求特点分析[J].气象与减灾研究, 2014, 37(4):62-67.
[25] 郭瑞鸽, 刘文英, 杨爱萍, 等.基于定量评分模型的江西省气象为农服务满意度评价[J].气象与减灾研究, 2014, 37(3):52-56.
[26] 王德育.政治学定量分析入门[M].北京:中国人民大学出版社, 2007.
[27] 查先进, 杨凤.基于对比分析法的专利情报分析实证研究[J].图书馆论坛, 2008(6):193-197.
[28] GB/T 3553-2017气象服务公众满意度[S].北京:中国标准出版社, 2017.
[29] 陈振林, 孙健.交通运输部公路局.公路交通气象服务效益评估(2011)[M].北京:气象出版社, 2012.
