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《城市交通》杂志
2018年 第5期
城市机动车能耗排放核算平台建设 ——以深圳市为例
点击量:24

文章编号: 1672-5328(2018)05-0064-07

陈蔚1,段仲渊2,宋家骅2,丘建栋2,陈澍2
(1.佛山市城市规划设计研究院,广东佛山528000;2.深圳市城市交通规划设计研究中心,广东深圳518000)

摘要: 量化分析机动车能耗、排放及分布特征,是源头建立城市交通排放清单、科学制定交通环境 政策的关键支撑技术。国家层面缺少统一的核算方法和因子库,地方层面数据基础薄弱、协调共享 困难,是制约相关研究的主要障碍。针对机动车能耗以及尾气排放,采用HBEFA理论方法,研究 本地化排放因子和自下而上的精细化核算模型。建立跨部门开放共享的协作模式,按照数据-模 型-应用的功能架构,以整合利用交通-环境多元数据为突破口,开发建设深圳市机动车能耗排放 核算平台,为政府决策支持、商业活动策划、市民出行引导等提供交通环境影响分析的专业工具。

关键词: 智能交通系统;机动车能耗与排放;核算模型;动态平台;多元数据

中图分类号: U491

文献标识码:A

Establishment of the Urban Vehicle Fuel Consumption and Emission Inventory Platform: A Case Study in Shenzhen

ChenWei1, Duan Zhongyuan2, Song Jiahua2, Qiu Jiandong2, Chen Shu2
(1. Foshan Urban Planning & Design Research Institute, Foshan Guangdong 528000, China; 2.Shenzhen Urban Transport Planning Center Co. Ltd., Shenzhen Guangdong 518000, China)

Abstract: Quantitative analysis of vehicle fuel consumption and emission (VFCE) is important for the establishment of the urban traffic emission inventory and the development of related environmental policies. The lack of uniform inventory methods and factors at the national level,and the shortage of basic data sharing and coordination at the local level are the two main obstacles of current research. This paper adopts the HBEFA approach to calculate vehicle fuel consumption and greenhouse gas emissions, determines localized VFCE factors, and establishes a refined bottom-up accounting model. It is proposed in this paper to establish the urban vehicle fuel consumption and emission inventory platform in Shenzhen by developing an inter- departmental and open collaboration mode, using the data- model- application functional framework, and making a breakthrough in the integration of traffic and environmental multivariate data. This platform serves as a technical tool for transportation environmental impact analysis to support governmental decision-making, plan business activities and provide resident travel guidance.

Keywords: intelligent transportation system (ITS); vehicle fuel consumption and emission (VFCE); inventory model; dynamic platform; multivariate data

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