Accessibility- vs. Mobility-Enhancing Strategies for Addressing Automobile Dependence in the U.S

Prepared for the European Conference of Ministers of Transport In 1995, the average American spent 56 minutes a day in a car, a 14 percent increase from only five years earlier. The average American household drove over 33,000 kilometers per year, and the average American car was driven over 19,000 kilometers per year. The growth in total vehicle-kilometers-traveled in the U.S. has continued unabated for decades, far exceeding the growth in population. The U.S. is clearly the most auto-dependent society on earth, but other parts of the world are catching up. By 2000, there were more cars per person in Germany than in the U.S., and nearly as many in Sweden, France, and Canada. The average vehicle in the United Kingdom was driven over 17,000 kilometers per year, just 11 percent behind the average in the U.S. Automobile dependence is growing throughout the world. Growth in automobile travel has been well supported by public investments in roads. Total capital outlays for roads in the U.S. by all levels of government have totaled between $30 billion and $50 billion per year (in constant 2000 dollars) for decades and have approached $60 billion per year in recent years. By 2000, the U.S. had over 3.9 million miles of roads, including over 21,000 miles of freeways in urban areas, and the annual cost of maintaining this system had reached nearly $30 billion per year. From the beginning, the mission of the U.S. Department of Transportation has been to accommodate the growing demand for vehicle travel. Today, the department has established mobility as one of its strategic goals and uses trends in vehicle travel as an indicator of progress towards this goal. In its 2001 Report to the American People, the Federal Highway Administration said, we must continue to invest in America's highways in order to achieve our national goals . But the investments in roads have not kept up with the growth in vehicle travel. Between 1941 and 2000, total kilometers of roads in the U.S. increased by 145% but vehicle-kilometers-traveled increased by 724%. The gap is significant even when accounting for population growth: kilometers of roads per person increased by 16% while vehicle-kilometers-traveled per person increased by 290% between 1941 and 2000. As demand has outpaced supply, levels of congestion have increased. The Texas Transportation Institute (TTI) calculates that in the 68 largest metropolitan areas in the U.S. the average annual hours of delay per person grew from 11 in 1982 to 36 in 1999, an increase of 227%. The estimated cost of this delay reached $77.8 billion in 1999. How much more road building would it take to eliminate this delay? TTI estimates that metropolitan areas added only 48% of the roads they needed to keep up with the growth in vehicle travel in 1999. At the same time, the environmental consequences of this steady growth in automobile use are well known. Although air quality is better now in places like Los Angeles than it has been in decades, the problem is far from solved. In the U.S., emissions of volatile organic compounds from transportation have been decreasing steadily for the last three decades, but emissions of nitrogen oxides have been going up, and 36 areas that are home to a total of 85 million people still fail to officially meet the national standards for ozone. The transportation sector dumped 513 million metric tons of carbon dioxide, a major greenhouse gas, into the atmosphere in 2000, a 3.43% increase from the year before. In 1999, the U.S. consumed 19.5 million barrels of oil per day, 26.5% of the world's consumption; 68% of oil consumption in the U.S. was for transportation, and consumption of oil in the U.S. for transportation alone exceeded total production of oil in the U.S. by 50%. These statistics and others seem to provide ample justification for policies to reduce automobile use. That leads to something of a dilemma for policy makers. Should policies focus on accommodating growing levels of vehicle travel because driving more is apparently what the public wants to do? Or should policies focus on limiting driving so as to reduce environmental and other costs? The former strategy has so far been more politically palatable, at least in the U.S., but it is also becoming increasingly unaffordable. The latter strategy means reversing a trend that has slowed only for wars and recessions and goes against American traditions of freedom of movement. So what's the right thing to do? One obvious approach is to push for further improvements in vehicle and fuel technologies that will reduce the environmental impacts of driving without in anyway limiting driving. But that leaves the problem that driving is growing faster than capacity possibly can. It also leaves the problem that a significant share of the population cannot drive or does not have access to a car, for reasons of income, age, or ability. An alternative approach that is gaining wide support in the U.S. is to reduce the need for driving by bringing activities closer to home, by improving the quality of transit, bicycling, and walking – by enhancing accessibility. Such an approach represents a fundamental shift from a traditional focus on enhancing mobility through road building. This report looks at what it means to focus on enhancing accessibility rather than enhancing mobility, first by defining these concepts then by reviewing the U.S. experience with mobility-enhancing strategies, accessibility-enhancing strategies, and others.

[1]  P. L. Mokhtartan,et al.  How derived is the demand for travel? Some conceptual and measurement considerations , 2004 .

[2]  K. Krizek Residential Relocation and Changes in Urban Travel: Does Neighborhood-Scale Urban Form Matter? , 2003 .

[3]  Patricia L. Mokhtarian,et al.  Impacts of Home-Based Telecommuting on Vehicle-Miles Traveled: A Nationwide Time Series Analysis , 2002 .

[4]  Susan L Handy,et al.  How the built environment affects physical activity: views from urban planning. , 2002, American journal of preventive medicine.

[5]  R. Shumway,et al.  Revisiting the notion of induced traffic through a matched-pairs study , 2002 .

[6]  Ray Bert,et al.  Book Review: \ISolving Sprawl: Models of Smart Growth in Communities across America\N by F. Kaid Benfield, utka Terris, and Nancy Vorsanger. Cambridge, Massachusetts: Natural Resources Defense Council, 2001 , 2002 .

[7]  J Lappin,et al.  TRAVELER RESPONSE TO INFORMATION: WHO RESPONDS AND HOW? , 2002 .

[8]  R. Noland,et al.  A review of the evidence for induced travel and changes in transportation and environmental policy in the US and the UK , 2002 .

[9]  D. A N I,et al.  Roughly Right or Precisely Wrong , 2002 .

[10]  P. S. Hu 1995 NPTS Databook , 2001 .

[11]  Marlon G. Boarnet,et al.  The influence of land use on travel behavior: specification and estimation strategies , 2001 .

[12]  Kelly J. Clifton,et al.  Local shopping as a strategy for reducing automobile travel , 2001 .

[13]  S. C. Davis,et al.  Transportation Energy Data Book: Edition 21 , 2001 .

[14]  F K Benfield,et al.  Solving Sprawl: Models of Smart Growth in Communities Across America , 2001 .

[15]  Vaishali P. Shah,et al.  Time Management Impacts of Pretrip Advanced Traveler Information Systems: Findings from a Washington, D.C., Case Study , 2001 .

[16]  Marlon G. Boarnet,et al.  Travel by design : the influence of urban form on travel , 2001 .

[17]  S. Colman,et al.  Generated Traffic : Implications for Transport Planning , 2001 .

[18]  Marlon G. Boarnet,et al.  Do Highways Matter? Evidence and Policy Implications of Highways' Influence on Metropolitan Development , 2000 .

[19]  H. Mahmassani,et al.  Traveler Responses to Advanced Traveler Information Systems for Shopping Trips: Interactive Survey Approach , 2000 .

[20]  Konstadinos G. Goulias,et al.  Use of Traveler Information in the Puget Sound Region: Preliminary Multivariate Analysis , 2000 .

[21]  H. Mahmassani,et al.  TRIP PLANNING BEHAVIOR OF TOURISTS: SAN ANTONIO CASE STUDY , 2000 .

[22]  Hani S. Mahmassani Traveler behavior and intelligent transportation systems , 1999 .

[23]  Eliahu Stern,et al.  Reactions to congestion under time pressure , 1999 .

[24]  Hani S. Mahmassani,et al.  DYNAMICS OF COMMUTING DECISION BEHAVIOR UNDER ADVANCED TRAVELER INFORMATION SYSTEMS , 1999 .

[25]  Jeffrey Kenworthy,et al.  Sustainability and Cities: Overcoming Automobile Dependence , 1999 .

[26]  Elaine Murakami,et al.  DAILY TRAVEL BY PERSONS WITH LOW INCOME , 1999 .

[27]  P. Mokhtarian,et al.  WHAT HAPPENS WHEN MOBILITY-INCLINED MARKET SEGMENTS FACE ACCESSIBILITY-ENHANCING POLICIES? , 1998 .

[28]  R. Cervero,et al.  TRAVEL DEMAND AND THE 3DS: DENSITY, DIVERSITY, AND DESIGN , 1997 .

[29]  Debbie A. Niemeier,et al.  Measuring Accessibility: An Exploration of Issues and Alternatives , 1997 .

[30]  R. Kitamura,et al.  A micro-analysis of land use and travel in five neighborhoods in the San Francisco Bay Area , 1997 .

[31]  Susan L Handy,et al.  THE IMPACTS OF TELECOMMUNICATIONS TECHNOLOGIES ON NONWORK TRAVEL BEHAVIOR , 1997 .

[32]  Susan L Handy,et al.  METHODOLOGIES FOR EXPLORING THE LINK BETWEEN URBAN FORM AND TRAVEL BEHAVIOR , 1996 .

[33]  Kazuo Nishii,et al.  USER EVALUATION AND RESPONSE TO PARKING GUIDANCE AND INFORMATION SYSTEM IN A CENTRAL CITY SHOPPING AREA IN JAPAN , 1995 .

[34]  A. Fujiwara,et al.  INFLUENCE OF PRE-TRIP INFORMATION ON TRAVELER'S CHOICE BEHAVIOR , 1995 .

[35]  P. Mokhtarian,et al.  Methodological Issues in the Estimation of the Travel, Energy, and Air Quality Impacts of Telecommuting , 1995 .

[36]  R. Cervero,et al.  COMMUTING IN TRANSIT VERSUS AUTOMOBILE NEIGHBORHOODS , 1995 .

[37]  S. Handy Understanding the Link Between Urban Form and Nonwork Travel Behavior , 1995 .

[38]  R. Cervero,et al.  AN EVALUATION OF THE RELATIONSHIPS BETWEEN TRANSIT AND URBAN FORM , 1995 .

[39]  P. Mokhtarian,et al.  PLANNING FOR TELECOMMUTING: MEASUREMENT AND POLICY ISSUES , 1995 .

[40]  Susan L Handy,et al.  HIGHWAY BLUES: NOTHING A LITTLE ACCESSIBILITY CAN'T CURE , 1994 .

[41]  Simon Washington,et al.  EMISSION IMPACTS OF INTELLIGENT VEHICLE HIGHWAY SYSTEMS , 1994 .

[42]  Thomas F. Wholly Transportation Planning and Air Quality II , 1994 .

[43]  S. Handy A Cycle of Dependence: Automobiles, Accessibility, and the Evolution of the Transportation and Retail Hierarchies , 2012 .

[44]  P. Katz The New Urbanism: Toward an Architecture of Community , 1993 .

[45]  Patricia L. Mokhtarian,et al.  Modeling the Choice of Telecommuting: Setting the Context , 1993 .

[46]  Robert Cervero,et al.  Transit-Supportive Development in the United States: Experiences and Prospects - eScholarship , 1993 .

[47]  P. Calthorpe The Next American Metropolis: Ecology, Community, and the American Dream , 1993 .

[48]  Michael G. McNally,et al.  COMPARATIVE ASSESSMENT OF TRAVEL CHARACTERISTICS FOR NEOTRADITIONAL DESIGNS , 1993 .

[49]  D. Rathbone TELECOMMUTING IN THE UNITED STATES , 1992 .

[50]  A. Downs Stuck in Traffic: Coping with Peak-Hour Traffic Congestion , 1992 .

[51]  S. Handy Regional Versus Local Accessibility: Neo-Traditional Development and Its Implications for Non-work Travel , 1992 .

[52]  Anne H. Soukhanov,et al.  The american heritage dictionary of the english language , 1992 .

[53]  Robert Cervero,et al.  Transit Joint Development in the USA: An Inventory and Policy Assessment , 1991 .

[54]  A. Duany Towns and town-making principles , 1991 .

[55]  R. Burchfield Oxford English dictionary , 1982 .

[56]  M. Baucus Transportation Research Board , 1982 .

[57]  B. Pushkarev,et al.  Public Transportation and Land Use Policy , 1977 .

[58]  W. G. Hansen How Accessibility Shapes Land Use , 1959 .