In recent decades, urban planners have used projections from transportation professionals to estimate where and how much people are expected to use their cars in the near future. Now, a University of New Orleans faculty member is questioning whether these long-used figures rely too much on suburban data and miss the mark on accurately projecting needs for higher density urban areas.
Guang Tian is a researcher in the University's Department of Planning and Urban Studies and works with the 色色研究所 Transportation Institute. He is the lead author of a study that examined household travel survey data from 30 diverse regions of the U.S. and determined that the document known as the 鈥渂ible鈥 of transportation planning -- produced by the Institute of Transportation Engineers (ITE) -- might be over-estimating anticipated vehicle use. As real estate developers examine opportunities, they may be discouraged from investing in a community if the expected traffic and parking availability is unattractive to potential future inhabitants.
The difference between using the ITE methodology, which bases calculations largely on suburban data, and using Tian鈥檚 methodology, which takes the built environment into account, might determine whether a developer deems an urban property viable for profitable investment.
The Institute of Transportation Engineers (ITE), founded in 1930, is an international membership association of transportation professionals interested in promoting smart growth and more livable communities as an antidote for 鈥渦rban sprawl.鈥
In urban planning jargon, 鈥渟prawl鈥 refers to the phenomenon of real estate development common since WWII in which housing and retail expand outside of city centers and ultimately create automobile-dependent communities where mass transit may not be viable. The growth of such communities contribute to energy consumption, air pollution and traffic congestion.
According to the Environmental Protection Agency, about 31 percent of total U.S. carbon dioxide emissions and 26 percent of total U.S. greenhouse gas emissions were generated by transportation in 2013. Tian鈥檚 study says more than half of the world鈥檚 oil and about 30 percent of total commercial world energy are consumed by the transportation sector.
To guard against the detrimental effects of sprawl, ITE has for decades published a regularly updated 鈥淭rip Generation Manual鈥 and a 鈥淧arking Generation Manual鈥 that are both widely used to inform transportation and urban planning projects. These reports use data from household travel surveys to create projections, respectively, for how many trips per person per day would be expected in an anticipated development and how many parking spaces would be required.
In Tian鈥檚 study, he notes that the ITE 鈥淭rip Generation Manual鈥 states that its 鈥淸d]ata were primarily collected at suburban locations having little or no transit service, nearby pedestrian amenities, or travel demand management.鈥
Given that these factors significantly affect patterns of vehicle use in urban areas, Tian鈥檚 study sought to provide a more accurate picture.
鈥淐ompact developments that concentrate residents, workers and retail shops in close proximity to one another can 鈥榙egenerate鈥 vehicle trips,鈥 Tian explained. 鈥淗ouseholds that live in dense, mixed-use and transit-served areas tend to own fewer automobiles, a phenomenon called 鈥榗ar shedding.鈥 At the same time, they make more walking, bike and transit trips.鈥
For example, average vehicle trip rates per person are higher for single-family detached households, like those found in the suburbs, than single-family attached households. Similarly, single-family attached households have average vehicle trip rates higher than those in multifamily units like apartments and condominiums.
Also, the drop-off in vehicle trip rates is far more pronounced between average and compact neighborhoods than between sprawling and average neighborhoods. Comparing the extremes, single-family households in sprawling neighborhoods generate more than twice the number of vehicle trips per person per day than do multifamily households in compact neighborhoods.
鈥淥ur work captures the phenomena of 鈥榯rip degeneration鈥 and 鈥榗ar shedding鈥 as development patterns become more compact, which in turn exposes the potential for significant savings while developing urban projects,鈥 Tian said.