Enhancing Internal Trip Capture Estimation for Mixed-Use Developments

Bochner, Brian S; Hooper, K G; Sperry, Benjamin R; Dunphy, Robert T

doi:10.17226/14489

Cited by 27 publications

(35 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…At multi-use developments, methods to better account for internal capture (Bochner et al 2011) and better estimate trip generation at mixed-use sites (San Diego Association of Governments 2010) have been developed. However, the authors of a recent evaluation of available smart growth trip generation methodologies have acknowledged that "no clear winner emerges among currently available methods" (Lee et al 2011).…”

Section: Literature Reviewmentioning

confidence: 99%

Adjusting ITE’s Trip Generation Handbook for urban context

Clifton

Currans

Muhs

2015

JTLU

View full text Add to dashboard Cite

This study examines the ways in which urban context affects vehicle trip generation rates across three land uses. An intercept travel survey was administered at 78 establishments (high-turnover restaurants, convenience markets, and drinking places) in the Portland, Oregon, region during 2011. This approach was developed to adjust the Institute of Transportation Engineers (ITE) Trip Generation Handbook vehicle trip rates based on built environment characteristics where the establishments were located.A number of policy-relevant built environment measures were used to estimate a set of nine models predicting an adjustment to ITE trip rates. Each model was estimated as a single measure: activity density, number of transit corridors, number of high-frequency bus lines, employment density, lot coverage, length of bicycle facilities, presence of rail transit, retail and service employment index, and intersection density. All of these models perform similarly (Adj. R 2 0.76-0.77) in estimating trip rate adjustments. Data from 34 additional sites were collected to verify the adjustments. For convenience markets and drinking places, the adjustment models were an improvement to the ITE's handbook method, while adjustments for restaurants tended to perform similarly to those from ITE's estimation.The approach here is useful in guiding plans and policies for a short-term improvement to the ITE's Trip Generation Handbook. The measures are useful for communities seeking to develop local adjustments to vehicle trip rate estimates, and all could be calculated from spatial data available in most locations. The paper concludes with a discussion on what long-term improvements to the ITE's Trip Generation Handbook might entail, with further implications in planning and practice.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Adjusting ITE’s Trip Generation Handbook for urban context

Clifton

Currans

Muhs

2015

JTLU

View full text Add to dashboard Cite

show abstract

“…• NCHRP 8-51 Method (Bochner et al 2011). This method is an enhancement of the current ITE handbook Multi-Use Method based on data collected at six sites and tested at three different sites.…”

Section: Literature Reviewmentioning

confidence: 99%

“…This approach ignores ITE guidance, but it is the only option known to many communities. Not surprisingly, many recent studies of urban infill, mixed-use, transitoriented, and other smart-growth developments indicate that this approach overestimates the number of vehicle trips generated by more than 25 percent (Tindale Oliver and Associates 1993;Steiner 1998;Muldoon and Bloomberg 2008;Arrington and Cervero 2008;Kimley Horn Associates 2009;Bochner et al 2011;Schneider et al 2013a). This current practice leads communities to overprescribe motor vehicle infrastructure in smart-growth areas, resulting in wider roadways, more turning lanes, more parking spaces, and larger parking lots than necessary.…”

Section: Introductionmentioning

confidence: 99%

Method to adjust Institute of Transportation Engineers vehicle trip-generation estimates in smart-growth areas

Schneider

Shafizadeh

Handy

2015

JTLU

View full text Add to dashboard Cite

This paper describes a practical method of adjusting existing Institute of Transportation Engineers (ITE) estimates to produce more accurate estimates of motor-vehicle trip-generation at developments in smartgrowth areas. Two linear regression equations, one for an A.M. peak-hour adjustment and one for a P.M. peak-hour adjustment, were developed using vehicle trip counts and easily measured site and surrounding area context variables from a sample of 50 smart-growth sites in California. Many of the contextual variables that were associated with lower vehicle trip generation at the smart-growth study sites were correlated. Therefore, variables representing characteristics such as residential population density, employment density, transit service, metered on-street parking, and building setback distance from the sidewalk were combined into a single "smart-growth factor" that was used in the linear regression equations. The A.M. peak-hour and P.M. peak-hour adjustment equations are only appropriate for planning-level analysis at sites in smart-growth areas. In addition, the method is only appropriate for single land uses in several common categories, such as office, mid-to highdensity residential, restaurant, and coffee/donut shop. The method uses data from California, but the methodological approach could provide a framework for adjusting ITE trip-generation estimates in smart-growth areas throughout the United States.

show abstract

“…The limited applicability of ITE-published rates to mixed-use, high-density centers has long been recognized, and ITE's publications themselves have extensive caveats to this effect. However, practices have evolved to allow developers to adjust down their trip generation rates in certain contexts (Ewing et al 2011;Millard-Ball and Siegman 2006;Cervero and Arrington 2008;Lee et al 2011;Clifton et al 2012;Bochner et al 2011;Handy et al 2013). 5 Thus, data and practice now at least partially address the special circumstances of mixed-use and transit-oriented development.…”

Section: Concerns With Trip Generation Analysismentioning

confidence: 99%

Phantom trips: Overestimating the traffic impacts of new development

Millard‐Ball

2015

JTLU

View full text Add to dashboard Cite

Abstract:The Trip Generation Manual is the standard reference for assessing the impacts of new development on traffic congestion and the environment in the United States. However, a comparison to household surveys suggests that the Trip Generation Manual overestimates trips by 55 percent-likely because its data represent a biased sample of development in the U.S. Moreover, the data in the Trip Generation Manual are ill suited to many analyses of traffic impacts, development impact fees, and greenhouse gas emissions because they do not account for substitution effects. Most trips "generated" by new developments are not new, but instead involve households reshuffling trips from other destinations. These twin problems-theoretical and practical-are likely to lead to the construction of excessive roadway infrastructure and to the overestimation of the congestion, fiscal, and environmental impacts of new development.Data available in supplementary file:

show abstract

Enhancing Internal Trip Capture Estimation for Mixed-Use Developments

Cited by 27 publications

References 0 publications

Adjusting ITE’s Trip Generation Handbook for urban context

Adjusting ITE’s Trip Generation Handbook for urban context

Method to adjust Institute of Transportation Engineers vehicle trip-generation estimates in smart-growth areas

Phantom trips: Overestimating the traffic impacts of new development

Contact Info

Product

Resources

About