不同出行方式颗粒污染物吸入量分析及应用开发

Analysis of Traveler Particulate Pollutant Inhalation by Travel Mode and Route-planning Application Development

道路交通的快速发展不可避免地带来了城市交通尾气污染问题,人们对于出行健康愈发关注。为了倡导健康出行,构建城市绿色道路交通,本文探究了西安城区各出行方式颗粒污染物吸入量的变化规律,并为居民健康绿色出行提供路线规划。本研究基于西安市13个国家空气监测点,分别对公交车、地铁出行颗粒物浓度数据进行采集,通过相关分析等统计分析方法,对各出行方式颗粒污染物吸入量影响因素进行分析。并将研究结论应用到微信小程序开发中,通过地图实时定位、规划路线以及环保部实时更新的西安市各区PM2.5、PM10背景浓度值,在获得用户出行起讫点基础上,可实现预测用户不同出行方式及路径下吸入颗粒污染物总量,并结合实时路况信息推荐最优出行路线的功能。

The continued rise in urban traffic exhaust pollution,the inevitable result of increased road traffic,has led to growing public interest in the utilization of travel modes that are both healthy and environmentally conscious.This study in Xi’an city explored the relationship between the travel mode and the amount of particulate pollution inhaled by travelers and developed a route-planning tool to promote“green”and healthy travel.Particulate matter distribution and concentration data for buses and subways were collected from 13 national air monitoring points in Xi’an.The factors influencing the amount of particulate pollution inhaled by travelers were analyzed for each travel mode using correlation analysis and other statistical approaches.The results were then applied to the development of a WeChat application that provides route maps,real-time positioning,route planning,and real-time updates of the PM2.5 and PM10 background concentrations in Xi’an.Based on the traveler’s origin and destination,the amount of particulate the traveler would inhale and the expected pollutant emissions for potential modes and routes are predicted by the application.Combining this analysis with the real-time traffic information,the application then recommends the optimum travel route,considering traveler health and environmental protection.