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Transportation Choices and Air Pollution Effects of Telework

机译:远程办公的交通选择和空气污染影响

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Telework has emerged as a possible solution to transportation-related air pollution problems. This paper analyzes, both deterministically and probabilistically, a California-based 1-day telework scenario, and explores how the mode of transportation and other parameters such as vehicle miles traveled, vehicle model, occupancy rate, telecommuting frequency, and season (heating or cooling) affect the air pollution effects of telework programs when energy consumption-related emissions due to heating, cooling, lighting, and the use of electronic and electrical equipment (in the home and company office) are accounted for. Among others, the study found that total telework-related CO_2 emissions during the cooling season and SO)2, NO_x, and hydrocarbon emissions in both seasons appear to be lower than nontelework emissions for all modes of transportation (except for light rail with higher NO_x emissions and urban transit buses with roughly equal NO_x emissions in the heating season). Light rail also has higher telework N_2O and CH_4 emissions. However, given the uncertainties in the data, the differences may be negligible. Urban transit buses and commuter express buses were found to be associated with more telework than nontelework CO emissions in both seasons. For these two modes, telework PM_(10) emissions are higher in the cooling and about the same in the heating season than nontelework emissions. Natural gas-powered ferries have more telework PM_(10) emissions than nontelework emissions. The study also found that for low-frequency telework programs energy use impacts could overturn transportation-related emission reductions independent of the mode of transportation used. Avoiding more polluting modes of transportation, increasing occupancy rates, substituting longer commutes and especially increasing telecommuting frequency could counteract these negative effects.
机译:远程办公已经出现,可以解决与交通相关的空气污染问题。本文确定性地和概率性地分析了一个基于加利福尼亚的1天远程办公场景,并探讨了运输方式和其他参数(例如行驶的车辆行驶里程,车辆型号,占用率,远程通勤频率和季节(加热或冷却) )考虑到由于取暖,制冷,照明和使用电子和电气设备(在家庭和公司办公室中)而导致的与能源消耗有关的排放时,会影响远程办公程序的空气污染影响。除其他外,研究发现,在所有运输方式下,两个季节的冷却季节和与远程工作相关的CO_2排放总量以及SO)2,NO_x和碳氢化合物排放量似乎都低于非远程工作排放量(轻型铁路的NO_x较高)排放量和供暖季节内NO_x排放量大致相等的城市公交车)。轻轨还具有更高的遥距工作N_2O和CH_4排放。但是,鉴于数据的不确定性,差异可能可以忽略不计。在两个季节中,发现城市公交车和通勤快车与非办公CO排放相比,与远程办公相关的更多。对于这两种模式,远程办公PM_(10)排放在制冷方面要高于非远程办公排放,在供暖季节则大致相同。以天然气为动力的渡轮比非远程排放物排放的远程办公PM_(10)排放量更多。研究还发现,对于低频远程办公计划,能源使用影响可能会推翻与运输相关的减排量,而与所使用的运输方式无关。避免更多的污染交通方式,增加占用率,替代更长的通勤时间,尤其是增加远程通勤频率,可以抵消这些负面影响。

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