Reducing Greenhouse Gas Emissions from Long-Distance Travel Business: How Far Can We Go?

Author:

Li Ruohan1,Kockelman Kara M.1ORCID,Lee Jooyong1ORCID

Affiliation:

1. Department of Civil, Architectural, and Environmental Engineering, The University of Texas at Austin, Austin, TX

Abstract

Long-distance (LD) travel accounts for over 30% of person-trip miles, with important energy and emissions impact. LD business travel can often be replaced by remote participation, so targeting such trips for cost, time, and emissions savings may be a wise strategy for protection of the climate, budgets, and human health. To appreciate Americans’ LD travel choices better, a 73-question online survey was conducted in 2019 that captured 2,327 LD (over 100 mi each way) trips made by 929 respondents during the previous 12 months, of which 490 round trips were for business purposes. Predictive models for LD trips per adult per year, overnights, LD travel times, and willingness to participate remotely and/or purchase carbon offsets for those trips were developed using respondents in Austin only. As expected, those educated to degree level tend to travel more often, for both business and nonbusiness purposes; everything else is constant. People who undertake LD travel more frequently are more likely to spend less time in transit/en route. Single people or those from large households educated to degree level are more likely to be willing to pay for the carbon emissions produced by their flights. Out of the 298 LD business trips made by Austinites, remote participation is possible for approximately a quarter, and the respondents involved are willing to participate remotely in 44% of those trips. In other words, Austinites appeared willing to participate remotely in slightly over 10% of their business trips overall, at least before the COVID-19 pandemic. This is definitely not enough to address climate change concerns as a result of carbon emissions from LD travel.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

Reference76 articles.

1. Long-Distance and Rural Travel Transferable Parameters for Statewide Travel Forecasting Models

2. Estimation of a Long-Distance Travel Demand Model using Trip Surveys, Location-Based Big Data, and Trip Planning Services

3. Aultman-Hall L. Incorporating Long-Distance Travel into Transportation Planning in the United States. Institute of Transportation Studies, UC Davis, CA, 2018. https://escholarship.org/uc/item/0ft8b3b5. Accessed July 23, 2019.

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3