| 英文摘要 |
In FY2018, as of the end of October 2018, a total of 25,609 complaints had been received from members of the public regarding smoky vehicles (i.e. vehicles that generate excessive amounts of visible exhaust emissions). The owners of these vehicles were successfully notified in 8,617 cases (representing a notification rate of 33.65%), and inspection was performed in 5,108 cases (representing an inspection rate of 59.28%). These results were supported by expansion of the functionality of the reporting system (with a total of seven new functions of model added including Smoky vehicles function customized, Website beauty, Member profile protect, smoky vehicles map, Data statistics update, information confidentiality service and backup operations), which led to a significant improvement in the overall quality of case handling. In addition, as there is a direct correlation between the smoky vehicle evaluation standards used by environmental protection departments when reviewing cases of this type and the amount of rewards issued, in FY2018 sampling was performed on 518 cases in different counties and cities; the sampling results showed that environmental protection departments in individual counties and cities had adopted broadly consistent standards, but that there was still some room for improvement. The report therefore included some suggestions for ways in which improvements could be made in the future; the main recommendations were as follows: it was suggested that local government environmental protection agencies should continue to provide guidance regarding the standards applying to photographs that are submitted as evidence, and the techniques for taking acceptable photographs, and should explain the operational procedures used by the environmental protection agencies when handling this type of case, so that members of the public can develop a better understanding of the details of smoky vehicle reporting cases and of how reports can be improved, which in turn will help to enhance the overall quality of reporting and lead to more effective pollution management.
In order to ensure adequate lateral and vertical communication, an operational coordination meeting was held on June 26, 2018 and a review meeting was held on August 13, 2018, providing an opportunity for operational staff at different local government environmental protection agencies to engage in an exchange of views regarding this work category. In response to the air pollution law, the plan provides a customized function questionnaire to facilitate system upgrades and adjustments.
The plan also involved continued maintenance of the “Mobile Sources of Air Pollution Information Management System,” using an e-enablement approach to establish review methods and key review items for projects outsourced by the Environmental Protection Administration (EPA), and implementing collation, statistical compilation and statistical analysis with respect to the databases established under the various projects relating to mobile sources of air pollution. In FY2018, assistance has been provided for the establishment of two websites that will provide members of the public with guidance regarding the increased subsidies available for pollution reduction activities, so that the public can be kept abreast of the latest information released by the EPA regarding subsidies; this website has also had a total of three items(eliminate two-stroke locomotives, eliminate old large diesel vehicles, and install large-scale diesel vehicles with filters ) added that present statistics regarding the mobile pollution source control results that have been achieved through the use of subsidies.The FY2018 plan also incorporated vehicle registration inquiry system maintenance operations. Over the plan implementation period, all system functions were improved, and on November 8, 2018 assistance was provided in linking the system to the Directorate General of Highways diesel vehicle registration database; batch query function was also made available for the use of environmental protection agencies.
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