2018
DOI: 10.5198/jtlu.2018.1129
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Transportation impacts of affordable housing: Informing development review with travel behavior analysis

Abstract: Abstract:Planning for affordable housing is challenged by development policies that assess transportation impacts based on methodologies that often do not distinguish between the travel patterns of residents of market-rate housing and those living in affordable units. Given the public goals of providing affordable housing in areas with good accessibility and transportation options, there is a need to reduce unnecessary costs imposed by the potential overestimation of automobile travel and its associated impact… Show more

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Cited by 12 publications
(10 citation statements)
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“…Households of limited mean particularly in developing cities have fewer choices in both where they can afford to live and how they can travel. In this regard, [11] conclude that low-income adults are more likely to travel regularly by public transit, while public transit use for commuting and jobsearching purposes corresponds with an inability of low-income adults to access a vehicle and having poor or limited local bus service. Similarly, transport attributes such as travel cost and trip distance as well as external factors such as urban form and land use, and socio-demographic characteristics are all critical determinants of transport mode choice.…”
Section: B Brief Literature Reviewmentioning
confidence: 97%
“…Households of limited mean particularly in developing cities have fewer choices in both where they can afford to live and how they can travel. In this regard, [11] conclude that low-income adults are more likely to travel regularly by public transit, while public transit use for commuting and jobsearching purposes corresponds with an inability of low-income adults to access a vehicle and having poor or limited local bus service. Similarly, transport attributes such as travel cost and trip distance as well as external factors such as urban form and land use, and socio-demographic characteristics are all critical determinants of transport mode choice.…”
Section: B Brief Literature Reviewmentioning
confidence: 97%
“…Considerable variation across the studies is found, ranging from 12% to 415% of the published ITE rates. Much research has highlighted this issue, given the extensive range of site-based contextual variables that can influence vehicle trip generation estimates ( 11 , 30 , 60 , 73 , 104 , 109 , 110 ). However, across all of the studies, the weighted average was remarkably close at 95% to 104% of the published ITE rates, although this reduced to 79% to 104% when excluding non-U.S. studies from the sample (see Table 3).…”
Section: Resultsmentioning
confidence: 99%
“…These efforts can further bolster the collection and evaluation of development-level bicycle parking supply and demand, transportation demand management strategies, or other parking management mechanisms. Once enough local trip making data is compiled, cities and developers can use these trip rates as alternatives or supplements to ITE’s data for TIAs ( 7, 11, 48 ). Surveys targeting developers or property managers can also aid the task of collecting parking supply and pricing information for existing developments.…”
Section: Discussion Of Conventional Tia Estimation Approachmentioning
confidence: 99%
“…Once travelers transition into retirement, they begin to travel less overall and by car—older women more so than older men ( 46 ). Individuals in married households travel by car less per person, chaining errands and trips together more often ( 45, 47 ), although single-person households travel less overall compared with larger households ( 48 ). Children under twelve seem to have a differential impact on household travel, particularly for women ( 49 ).…”
Section: Influencial Elements On Vehicle Use (A Review)mentioning
confidence: 99%
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