How to Reduce Excess Vehicle Travel

Some experts claim that remote work is the most effective way to reduce vehicle travel, but my research indicates that improving and encouraging walking, bicycling, and public transit can provide larger impacts and benefits.

8 minute read

September 8, 2023, 7:00 AM PDT

By Todd Litman

View of Dallas city skyline with moderately busy freeway in foreground at twilight.

f11photo / Adobe Stock

Last week Steven Polzin posted a Planetizen column, Leveraging the Choice Not to Travel, which argues that:

  1. Walking, bicycling and public transit improvements provide small vehicle travel reductions.
  2. Transportation demand management (TDM) has been tried but largely failed to achieve significant benefits.
  3. Telework (telecommunications that substitutes for physical travel, allowing people to work, school and shop from home) has the greatest potential for reducing traffic problems.

I want to thank Dr. Polzin for raising this issue but respectfully disagree with his conclusions. I wholeheartedly agree that significant vehicle travel reductions are needed to achieve transportation equity and efficiency goals. However, my research indicates that walking, bicycling, and public transit can provide larger reductions and benefits, and telework actually provides smaller reductions and benefits than he suggests. Let’s examine the evidence.

Non-auto travel demands

Conventional transportation planning tends to undercount and undervalue non-auto travel. For example, commonly cited travel data, such as Census journey to work statistics, ignore non-commute trips, school trips, recreational travel, and walk/bike segments of journeys that include motorized modes. A bike-transit-walking trip is categorized simply as a transit trip, and travel between parked vehicles and destinations are not counted even if they involve walking several blocks on public streets. Although non-auto modes serve only 8 percent of commute trips, they represent about 16 percent of total trips, indicating that people use these modes about twice as often as the most cited statistics indicate, and their mode shares could increase significantly if given more investment.

Non-Auto Mode Shares (U.S. Census, 2017 NHTS)

Non-Auto Mode Shares
Commonly-cited statistics, such as census commute mode share data, tend to undercount non-auto modes, particularly walking and bicycling trips. More comprehensive sources, such as the National Household Travel Survey indicate that walking and bicycling trips are two to six times more common than indicated by commute mode share data.

Ralph Buehler and Andrea Hamre’s study, The Multimodal Majority?, found that during a typical week 7 percent of Americans rely entirely on non-auto modes, about half use non-auto modes at least three times, and a quarter use a non-auto mode seven or more times.

TDM effectiveness

Polzin argues that transportation demand management policies—he cites commuter benefits programs, ride-matching services, plus education and marketing campaigns—have had little impact, but those are token strategies designed to allow transportation agencies to claim that they are making “balanced” investments without challenging current automobile-oriented planning practices. To be effective, a TDM program must include significant improvements in non-auto travel, financial incentives such as parking pricing or cash-out, Smart Growth development policies that allow more households to live in walkable urban neighborhoods, plus targeted travel reduction programs. The state of California's new Handbook for Analyzing Greenhouse Gas Emission Reductions and the Planner's Guide to Sustainable Urban Mobility Management can provide specific guidance for planning effective vehicle travel policies.

There is significant latent demand for non-auto travel. Surveys such as the National Association of Realtors’ Community and Transportation Preference Survey, indicate that many residents of automobile-dependent areas would prefer to live in more compact, walkable neighborhoods where they can drive less and rely more on non-auto modes. Non-auto travel tends to increase significantly after those modes are improved, as discussed in TDM Success Stories. For example, after Boulder, Colorado invested an extra $50 annually per capita in non-auto infrastructure their mode shares increased to about a third of all trips, and single occupant vehicle shares declined about 17 percent. The study, Don’t Underestimate Your Property, found that residential and commercial developments with TDM programs actually generate 63 percent fewer trips than trip generation models predict.

Polzin and others make a mistake when they assume a one-to-one substitution rate between modes. In fact, each additional mile of non-auto travel often reduces five to ten motor vehicle miles for the reasons described in the box below. These leverage effects are particularly large for mode shifts that result from auto travel disincentives such as efficient parking pricing, distance-based vehicle insurance pricing, and Smart Growth development policies.

Common Active Transportation Leverage Effects
  • Shorter trips. Shorter active trips often substitutes for longer motorized trips, such as when people choose a local store rather than driving to more distant shops.
  • Reduced chauffeuring. Better walking and bicycling conditions reduces the need to chauffeur non-drivers (special trips to transport a passenger). These often require empty backhauls (miles driven with no passenger). As a result, each mile of avoided chauffeuring often reduces two vehicle-miles.
  • Increased public transit travel. Since most transit trips include walking and bicycling links, improving these modes supports public transit travel and transit-oriented development.
  • Vehicle ownership reductions. Active mode improvements allow some households to reduce their vehicle ownership, which reduces vehicle trip generation, and therefore total vehicle-miles.
  • Lower traffic speeds. Active travel improvements often involve traffic speed reductions. This makes non-auto travel more time-competitive with driving and reduces total automobile travel.
  • More compact development. Walking and bicycling support more compact, multimodal communities by reducing the amount of land devoted to roadways and parking, and creating more attractive streets.
  • Social norms. As active travel increases, these modes become more socially acceptable.


In fact, even in affluent, automobile-oriented regions like California, automobile travel is much lower in compact, multimodal neighborhoods than in sprawled, automobile-dependent areas, as illustrated below. To reduce vehicle travel, communities need more compact infill development so any family that wants to can find suitable housing in a walkable neighborhood.

Household Vehicle Travel by Location (Salon 2014)

Household Vehicle Travel by Location
Motor vehicle travel and emissions are typically 20-60% lower in compact, transit-oriented than in sprawled, auto-dependent areas.

Current trends—aging population, urbanization, changing preferences, growing concerns about affordability, public health and environmental quality, plus improved telecommunications and e-bike technologies—are increasing non-auto travel demands and the value of serving them. You benefit if your neighbors drive less and use more resource-efficient modes. Walking and bicycling facility improvements can approximately double the portion of trips made by those modes, and e-bikes approximately double the portion of trips that can be made by bicycle. If bicycling currently has 2 percent mode share, this can increase to 4-8 percent if a community fully develops it bike network, as described in my column, Active and Micro Mobility Modes Can Provide Cost-Effective Emission Reductions–If We Let Them, and my TRB paper, Evaluating Active and Micro Mode Emission Reduction Potentials.

Completing a community’s sidewalk and bikeway networks typically costs an additional $50 to $100 annually per capita, which is tiny compared with what governments spend on roadways, businesses spend on off-street parking, and households spend on transportation, as discussed in my column, Completing Sidewalk Networks: Benefits and Costs. The problem is the low priority that transportation agencies currently give non-auto modes.

Currently, most North American communities devote less than 10 percent of their total transportation infrastructure budgets to non-motorized modes, which is less than indicators of their demands such as their shares of total trips, users, or traffic deaths, and far less than their potential shares if they received an equal share of investments.

Comparing Non-auto Infrastructure Investments with Demand Indicators (Litman 2023)

Comparing Non-auto Infrastructure Investments with Demand Indicators
Non-auto modes currently receive less than 10% of investments, which is comparable to their commute mode shares but less than their shares of total trips, particularly in large cities; their potential mode shares if their conditions improved; and far less than their frequent (three or more weekly trips) users.

Telework benefits

Recent studies indicate that telework provides little or no net reduction in vehicle travel and associated costs. Working at home can reduce peak period trips but increases errand trips that would otherwise have been made while commuting, and some people use the option of working at home to move to more distant, sprawling locations where they must drive farther to access services and activities, as discussed in David Zipper’s column, “What if Working at Home Makes Us Drive More, Not Less?” Similarly, on-line shopping can reduce special trips to purchase a particular item, but not if items would be purchased during regular shopping trips, and it increases delivery vehicle-trips.

Telework can also exacerbate inequities. Although most middle-class homes have comfortable spaces for remote work, working at home can be difficult and inefficient for lower-income workers and students in crowded apartments.

To be comprehensive, telework analysis should account for:
  • Commute energy savings.
  • Increases in delivery trips for documents and special supplies required for working at home, plus additional errand trips that would otherwise have occurred during commutes.
  • Increases in transportation energy if telework causes some households to live further from worksites in more sprawled locations.
  • Increased air conditioning, heating and electronic device energy consumption from people working at home.
Considering all of these factors, telework tends to provide modest or negative energy savings and emission reductions, unless implemented with vehicle travel reduction incentives. In other words, telework can be a useful option, but its overall impacts depend on how it is implemented. If you are a telework advocate, you should also advocate for vehicle travel reduction incentives to maximize net benefits.

As a result, telework can only be assumed to reduce vehicle travel and associated costs if implemented with vehicle travel reduction and Smart Growth development policies. To maximize benefit, it should be implemented in conjunction with rather than instead of improvements to non-auto travel, Smart Growth development policies and TDM incentives. It should be optional, not mandatory.

Don't dismiss modest modes

Too often, practitioners undercount and undervalue slower but more affordable, inclusive, and resource-efficient modes such as walking, bicycling, and public transit. This contributes to the self-reinforcing cycle of automobile dependency and sprawl, illustrated below. We have an opportunity to break this cycle by recognizing the unique and important roles that walking, bicycling, and public transit can play in an efficient and equitable transportation system, and the cost efficiency of vehicle travel reduction policies. Telework can help, but only if implemented as part of an integrated program to create a more diverse, efficient and equitable transportation system.

Cycle of Automobile Dependency and Sprawl
If we plan for increased vehicle travel by expanding roads and parking supply, the expected growth will occur, but if we investment in walking, bicycling and public transit, plus TDM incentives and Smart Growth development policies, a community will become more multimodal, compact, efficient and equitable.

For More Information

Hannah Budnitz, Emmanouil Tranos and Lee Chapman (2020), “A Transition to Working from Home Won’t Slash Emissions Unless We Make Car-Free Lifestyles Viable,” The Conversation.

Nicholas Johnson, Dillon T. Fitch-Polse and Susan L. Handy (2023), “Impacts of E-Bike Ownership on Travel Behavior: Evidence from Three Northern California Rebate Programs,” Transport Policy.

Todd Litman (2023), Are Vehicle Travel Reduction Targets Justified?, World Conference for Transportation Research, Montreal.

Todd Litman and Meiyu (Melrose) Pan (2023), TDM Success Stories, Victoria Transport Policy Institute.

Todd Litman (2023), "Evaluating Active and Micro Mode Emission Reduction Potentials," Transportation Research Board Annual Meeting.

Duco de Vos, Evert Meijers, and Maarten van Ham (2018), “Working from Home and the Willingness to Accept a Longer Commute,” The Annals of Regional Science, Vo. 61, 375–398.

William O’Brien and Fereshteh Yazdani Aliabadi (2020), “Does Telecommuting Save Energy? A Critical Review of Quantitative Studies and Their Research Methods,” Energy and Buildings, Vol. 225.

Yao Shi, Steven Sorrell and Tim Foxon (2023), “The Impact of Teleworking on Domestic Energy Use and Carbon Emissions,” Energy and Buildings.

David Zipper (2021), “What if Working at Home Makes Us Drive More, Not Less?,” Slate.

Todd Litman

Todd Litman is founder and executive director of the Victoria Transport Policy Institute, an independent research organization dedicated to developing innovative solutions to transport problems. His work helps to expand the range of impacts and options considered in transportation decision-making, improve evaluation methods, and make specialized technical concepts accessible to a larger audience. His research is used worldwide in transport planning and policy analysis.

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