Improving transportation impact analyses for subsidized affordable housing developments: A data collection and analysis of motorized vehicle and person trip generation

Currans, Kristina Marie; Abou-Zeid, Gabriella; Clifton, Kelly J.; Howell, Amanda; Schneider, Robert J.

doi:10.1016/j.cities.2020.102774

Cited by 14 publications

(15 citation statements)

References 21 publications

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“…Incorporating parking-related variables into TIAs likely relies on a collaborative effort between practitioners, researchers, and agencies. One on-going challenge of rigorous multi-site studies, for example, is gaining permission from developers or property to access the site ( 41 ). City agencies could help facilitate the relationship between developers, practitioners, and researchers by coordinating this process.…”

Section: Discussion Of Conventional Tia Estimation Approachmentioning

confidence: 99%

“…Parking inventory and demand studies for new development should be conducted with concurrent on-site trip generation studies (e.g., [ 11, 41 ]). This would allow parking turnover rates to be estimated, enabling assessment of whether or not a given development is over-parked.…”

Section: Discussion Of Conventional Tia Estimation Approachmentioning

confidence: 99%

“…Differences in supply and costs of parking have been shown to have strong relationships with vehicle outcomes. In a recent study of residential development demand, Currans et al ( 41 ) found that increasing the parking ratio from 1.0 to 2.0 dedicated parking spaces per dwelling unit significantly increased the vehicle trips by about 0.2 trips per dwelling unit during peak hours and that ignoring parking supply would have reduced the variation captured in the models by approximately 25% to 35%. Manville ( 26 ) found bundled parking with housing costs to be significant and positively associated with both vehicles per person and number of commuters who drive, although ter Schure et al (2012) found that unbundled parking policies must be coupled with carshare strategies to influence vehicle ownership (a difference of 0.27 vehicles on average).…”

Section: Influencial Elements On Vehicle Use (A Review)mentioning

confidence: 99%

“…Children under twelve seem to have a differential impact on household travel, particularly for women ( 49 ). More travel is observed overall with increasing household size ( 48 ) and, thus, measures of dwelling size (e.g., number of bedrooms or square footage) can be a strong proxy for household size ( 12, 50 ), although few development-level studies capture this ( 41 ).…”

Section: Influencial Elements On Vehicle Use (A Review)mentioning

confidence: 99%

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Linking Residential Parking to Automobile Transportation Impact Outcomes at a Development Level

Currans

Abou-Zeid

Iroz-Elardo

2020

Transportation Research Record: Journal of the Transportation R

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Although there exists a well-studied relationship between parking policies and automobile demand, conventional practices evaluating the transportation impacts of new land development tend to ignore this. In this paper, we: (a) explore literature linking parking policies and vehicle use (including vehicle trip generation, vehicle miles traveled [VMT], and trip length) through the lens of development-level evaluations (e.g., transportation impact analyses [TIA]); (b) develop a conceptual map linking development-level parking characteristics and vehicle use outcomes based on previously supported theory and frameworks; and (c) evaluate and discuss the conventional approach to identify the steps needed to operationalize this link, specifically for residential development. Our findings indicate a significant and noteworthy dearth of studies incorporating parking constraints into travel behavior studies—including, but not limited to: parking supply, costs or pricing, and travel demand management strategies such as the impacts of (un)bundled parking in housing costs. Disregarding parking in TIAs ignores a significant indicator in automobile use. Further, unconstrained parking may encourage increases in car ownership, vehicle trips, and VMT in areas with robust alternative-mode networks and accessibility, thus creating greater demand for vehicle travel than would otherwise occur. The conceptual map offers a means for operationalizing the links between: the built environment; socio-economic and demographic characteristics; fixed and variable travel costs; and vehicle use. Implications for practice and future research are explored.

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Section: Discussion Of Conventional Tia Estimation Approachmentioning

confidence: 99%

Section: Discussion Of Conventional Tia Estimation Approachmentioning

confidence: 99%

Section: Influencial Elements On Vehicle Use (A Review)mentioning

confidence: 99%

Section: Influencial Elements On Vehicle Use (A Review)mentioning

confidence: 99%

See 2 more Smart Citations

Linking Residential Parking to Automobile Transportation Impact Outcomes at a Development Level

Currans

Abou-Zeid

Iroz-Elardo

2020

Transportation Research Record: Journal of the Transportation R

Self Cite

View full text Add to dashboard Cite

show abstract

“…Multimodal trips are significantly influenced by built environment attributes such as bicycle infrastructure, transit accessibility, sidewalks, land use, connectivity, household type, and employment density among others. For example, Currans et al (2020) collected trip counts from affordable housing developments in Los Angeles and San Francisco and found associations of employment density, population density, and parking supply for vehicular and person trips. Tian et al (2015) presented that the likelihood of trips generated in mixed-use development is influenced by jobs within the development, job-population balance, and intersection density among others.…”

Section: Literature Reviewmentioning

confidence: 99%

Developing vehicular and non-vehicular trip generation models for mid-rise residential buildings in Kelowna, British Columbia: Assessing the impact of built environment, land use, and neighborhood characteristics

Orvin¹,

Ahmed²,

Fatmi

et al. 2021

JTLU

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This study develops vehicular and non-vehicular trip generation models for mid-rise, multi-family residential developments. A comparative analysis of observed and Instiutue of Transportation Engineers (ITE) trip rates suggests that ITE rates consistently overestimate. A latent segmentation-based negative binomial (LSNB) model is developed to improve the methodology for estimating vehicular and non-vehicular trips. One of the key features of an LSNB model is to capture heterogeneity. Segment allocation results for the vehicular and non-vehicular models suggest that one segment includes suburban developments, whereas the other includes urban developments. Results reveal that a higher number of dwelling units is likely to be associated with increased vehicle trips. For non-vehicular trips, a higher number of dwelling units and increased recreational opportunities are more likely to increase trip generation. The LSNB model confirms the existence of significant heterogeneity. For instance, higher land-use mix has a higher probability to deter vehicular trips in urban areas, whereas trips in the suburban areas are likely to continue increasing. Higher density of bus routes and sidewalks are likely to be associated with increased non-vehicular trips in urban areas, yet such trips are likely to decrease in suburban areas. An interesting finding is that higher bikeability in suburban areas is more likely to increase non-vehicular trips. The findings of this study are expected to assist engineers and planners to predict vehicular and non-vehicular trips with higher accuracy.

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Site Analysis and Planning

2023

Buildings for People

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Improving transportation impact analyses for subsidized affordable housing developments: A data collection and analysis of motorized vehicle and person trip generation

Cited by 14 publications

References 21 publications

Linking Residential Parking to Automobile Transportation Impact Outcomes at a Development Level

Linking Residential Parking to Automobile Transportation Impact Outcomes at a Development Level

Developing vehicular and non-vehicular trip generation models for mid-rise residential buildings in Kelowna, British Columbia: Assessing the impact of built environment, land use, and neighborhood characteristics

Site Analysis and Planning

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