Do teleactivities lead to more sustainable travel? Evidence from the 2017 and 2022 U.S. National Household Travel Surveys

Guang Tian , Andrew Tritch , Bob Danton

Computational Urban Science ›› 2025, Vol. 5 ›› Issue (1) : 16

PDF
Computational Urban Science ›› 2025, Vol. 5 ›› Issue (1) : 16 DOI: 10.1007/s43762-025-00176-y
Original Paper

Do teleactivities lead to more sustainable travel? Evidence from the 2017 and 2022 U.S. National Household Travel Surveys

Author information +
History +
PDF

Abstract

The use of ride-hailing services, online shopping, and telecommuting are behaviors which have recently increased dramatically in popularity, due in part to technological advancement and global events such as the Covid-19 pandemic. In theory, these behaviors may have the potential to shift people towards more sustainable travel. This study aims to explore the influences of ride-hailing, online shopping, and telecommuting on household vehicle miles traveled (VMT) and walking trip generation using the 2017 and 2022 U.S. National Household Travel Surveys (NHTS). Results reveal that the frequencies of all three activities increased between 2017 and 2022, online shopping and telecommuting showing positive correlations with VMT generation, and higher mean VMT associated with all three activities in 2017 and with online shopping and telecommuting in 2022. Regression models further indicate that telecommuting is most strongly associated with more sustainable travel, with seven of the eight models estimated indicating lower VMT generation and more walking trips associated with telecommuting. Ride-hailing service usage was also associated with lower VMT and more walking trips in six models. The results for online shopping are mixed, with our models showing that online shopping leads to more walking trips, but also higher VMT. The results of this study indicate that ride-hailing services and telecommuting may play an important role in shifts towards more sustainable travel behavior. Suggestions are presented for maximizing shifts to sustainable travel modes and minimizing potential inequitable effects, including designing for increased walkability, particularly in predominately minority areas, and the promotion of transit-oriented development.

Keywords

E-Commerce / Travel Behavior / Ride-Hailing / Online Shopping / Telecommuting

Cite this article

Download citation ▾
Guang Tian, Andrew Tritch, Bob Danton. Do teleactivities lead to more sustainable travel? Evidence from the 2017 and 2022 U.S. National Household Travel Surveys. Computational Urban Science, 2025, 5(1): 16 DOI:10.1007/s43762-025-00176-y

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

AsgariH, JinX. Exploring the endogenous effects among car dependency, work arrangement choice, and daily travel using the 2017 NHTS data. International Journal of Transportation Science and Technology, 2023, 124973-985

[2]

Bricka, S., Reuscher, T., Schroeder, P., Fisher, M., Beard, J., & Sun, X. (2024). Summary of Travel Trends: 2022 National Household Travel Survey. Retrieved from Federal Highway Administration: https://rosap.ntl.bts.gov/view/dot/73764.

[3]

ChoiK, JiaoJ, ZhangM. Reducing vehicle travel for the next generation: lessons from the 2001 and 2009 National Household Travel Surveys. Journal of Urban Planning and Development, 2017, 143404017017

[4]

ConwayM, SalonD, KingD. Trends in taxi use and the advent of ridehailing, 1995–2017: Evidence from the US National Household Travel Survey. Urban Science, 2018, 2379

[5]

DasV. Does Adoption of Ridehailing Result in More Frequent Sustainable Mobility Choices? An Investigation Based on the National Household Travel Survey (NHTS) 2017 Data. Smart Cities, 2020, 32385-400

[6]

DekaD, FeiD. A comparison of the personal and neighborhood characteristics associated with ridesourcing, transit use, and driving with NHTS data. Journal of Transport Geography., 2019, 76: 24-33

[7]

Desilver, D. (2023, November 22). Online shopping has grown rapidly in U.S., but most sales are still in stores BY . Retrieved from Pew Research Center: https://www.pewresearch.org/short-reads/2023/11/22/online-shopping-has-grown-rapidly-in-u-s-but-most-sales-are-still-in-stores/.

[8]

EPA. (2024a). Fast Facts on Transportation Greenhouse Gas Emissions. Retrieved from Environmental Protection Agency: https://www.epa.gov/greenvehicles/fast-facts-transportation-greenhouse-gas-emissions.

[9]

EPA. (2024b). Inventory of U.S. Greenhouse Gas Emissions and Sinks: 1990–2022. U.S. Environmental Protection Agency. Retrieved from U.S. Environmental Protection Agency: https://www.epa.gov/ghgemissions/inventory-us-greenhouse-gas-emissions-and-sinks-1990–2022.

[10]

EwingR, TianG, GoatesJP, ZhangM, GreenwaldMJ, JoyceA, GreeneW. Varying influences of the built environment on household travel in 15 diverse regions of the United States. Urban Studies, 2015, 52132330-2348

[11]

FerrellCE. Home-Based Teleshopping and Shopping Travel: Where Do People Find the Time?. Journal of the Transportation Research Board, 2005, 19261212-223

[12]

Godfrey, J., Polzin, S., & Roessler, T. (2019). Public Transit in America: Observations from the 2017 National Household Travel Survey. Tampa: National Center for Transit Research.

[13]

HjortholRJ. Information searching and buying on the internet: travel-related activities?. Environment and Planning B: Urban Analytics and City Science, 2009, 362229-244

[14]

HookA, CourtV, SovacookBK, SorrellS. A systematic review of the energy and climate impacts of teleworking. Environmental Research Letters., 2020, 59093003

[15]

JiaoJ, BischakC, HydenS. The impact of shared mobility on trip generation behavior in the US: Findings from the 2017 National Household Travel Survey. Travel Behavior and Society, 2020, 19: 1-7

[16]

KoenigBE, HendersonDK, MokhtarianPL. The travel and emissions impacts of telecommuting for the state of California Telecommuting Pilot Project. Transportation Research Part c: Emerging Technologies, 1996, 4113-32

[17]

LeHT, CarrelAL, ShahH. Impacts of online shopping on travel demand: A systematic review. Transport Reviews, 2021, 423273-295

[18]

Lyft, Inc. (2024). Lyft Announces Fourth Quarter and Full-Year 2023 Results. Retrieved from Lyft: https://investor.lyft.com/news-and-events/news/news-details/2024/Lyft-Announces-Fourth-Quarter-and-Full-Year-2023-Results/default.aspx.

[19]

MattsonJTravel Behavior and Mobility of Transportation-Disadvantaged Populations: Evidence from the National Household Travel Survey, 2012North Dakota State University

[20]

MokhtarianPL. August). A conceptual analysis of the transportation impacts of B2C e-commerce. Transportation, 2004, 31: 257-284

[21]

MusunuruA, ProffittD, EwingR, GreeneWHEwingR, ParkK. Poisson and negative binomial regression analysis. Advanced quantitative research methods for urban planners, 2020Routledge74-94

[22]

NHTS. (2023). 2022 NextGen NHTS Compatibility with Prior Data (Version 1.0). National Household Travel Survey. Retrieved from https://nhts.ornl.gov/.

[23]

OzbilenB, WangK, AkarG. Revisiting the impacts of virtual mobility on travel behavior: An exploration of daily travel time expenditures. Transportation Research Part A, 2021, 145: 49-62

[24]

Parker, K. (2023). About a third of U.S. workers who can work from home now do so all the time. Retrieved from Pew Research Center: https://www.pewresearch.org/short-reads/2023/03/30/about-a-third-of-us-workers-who-can-work-from-home-do-so-all-the-time/.

[25]

PendyalaRM, GouliasKG, RyuichiK. Impact of telecommuting on spatial and temporal patterns of household travel. Transportation, 1991, 18: 383-409

[26]

SalomanI. Telecommunications and travel relationships: A review. Transportation Research Part a: General, 1986, 203223-238

[27]

SalomonI. Telecommunications and Travel: Substitution or Modified Mobility?. Journal of Transport Economics and Policy, 1985, 193219-235

[28]

SikderS. Who Uses Ride-Hailing Services in the United States?. Transportation Research Record, 2019, 2673: 40-54

[29]

TanS, FangK, Willam LesterT. Post-pandemic travel patterns of remote tech workers. Transportation Research Interdisplinary Perspectives, 2023, 19: 100804

[30]

TianG, DantonB, EwingR, LiB. Varying influences of the built environment on household travel in the United States–An update with 36 diverse regions and machine learning. Cities, 2024, 155: 105490

[31]

TianG, EwingR. A walk trip generation model for Portland, OR. Transportation Research Part d: Transport and Environment, 2017, 52: 340-353

[32]

TianG, EwingR, LiH. Exploring the influences of ride-hailing services on VMT and transit usage–Evidence from California. Journal of Transport Geography, 2023, 110: 103644

[33]

Uber Technologies, Inc. (2024). Uber Announces Results for Fourth Quarter and Full Year 2023. Retrieved from Uber: https://investor.uber.com/news-events/news/press-release-details/2024/Uber-Announces-Results-for-Fourth-Quarter-and-Full-Year-2023/default.aspx.

[34]

WangK, De VosJ. Trends in leisure and shopping travel: From pre- to post-COVID-19 pandemic. Travel Behavior and Society, 2025, 39: 100956

[35]

WangK, OzbilenB. Synergistic and threshold effects of telework and residential location choice on travel time allocation. Sustainable Cities and Society, 2020, 63: 102468

[36]

WangX, RenneJ. Socioeconomics of urban travel in the U.S.: Evidence from the 2017 NHTS. Transportation Research Part D: Transport and Environment, 2023, 116: 103622

[37]

WangY, ShiW, ChenZ. Impact of ride-hailing usage on vehicle ownership in the United States. Transportation Research Part d: Transport and Environment, 2021, 101: 103085

[38]

Westat. (2019). 2017 NHTS Data User Guide. Washington, D.C.: Federal Highway Administration. Retrieved from https://nhts.ornl.gov/assets/2017/doc/NHTS2017_UsersGuide_04232019_1.pdf.

[39]

WuX, MackenzieD. The evolution, usage and trip patterns of taxis & ridesourcing services: Evidence from 2001, 2009 & 2017 US National Household Travel Survey. Transportation, 2021, 49: 293-311

[40]

WuX, MacKenzieD. Assessing the VMT effect of ridesourcing services in the US. Transportation Research Part D: Transport and Environment, 2021, 94: 102816

[41]

XuL, SaphoresJ-D. Does e-shopping impact household travel? Evidence from the 2017 U.S. NHTS. Journal of Transport Geography, 2024, 115: 103827

[42]

XueC, WuQ, BaiP, ChenY. The Interaction between E-Shopping and Shopping Trips: An Analysis with 2017 NHTS. Complexity, 2021, 202118247158

[43]

ZhouY, WangX. Explore the relationship between online shopping and shopping trips: An analysis with the 2009 NHTS data. Transportation Research Part A, 2014, 70: 1-9

[44]

ZhuP. Are telecommuting and personal travel complements or substitutes?. The Annals of Regional Science, 2012, 48: 619-639

[45]

ZhuP, WangY. The travel-related impacts of telecommuting: An active learning-based systematic review. Travel Behavior and Society, 2024, 36: 100762

Funding

Center for Transit-Oriented Communities(69A3552348337)

RIGHTS & PERMISSIONS

The Author(s)

AI Summary AI Mindmap
PDF

209

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/