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Vehicle Miles Traveled and the Built Environment: Evidence from Vehicle Safety Inspection Data

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-0-387-84812-9_5openalex-snapshot
The potential impact of automated data collection systems on urban public transport planning.
inferredcites →https://doi.org/10.1016/j.jue.2008.09.002openalex-snapshot
The impact of residential density on vehicle usage and energy consumption
inferredcites →https://doi.org/10.1016/j.trc.2012.09.009openalex-snapshot
Understanding individual mobility patterns from urban sensing data: A mobile phone trace example
inferredcites →https://doi.org/10.1016/j.trd.2005.05.002openalex-snapshot
Correlation or causality between the built environment and travel behavior? Evidence from Northern California
inferredcites →https://doi.org/10.1016/j.trd.2010.08.004openalex-snapshot
The effect of residential location on vehicle miles of travel, energy consumption and greenhouse gas emissions: Chicago case study
inferredcites →https://doi.org/10.1016/s0965-8564(00)00019-7openalex-snapshot
The influence of land use on travel behavior: specification and estimation strategies
inferredcites →https://doi.org/10.1016/s1361-9209(96)00010-7openalex-snapshot
Methodologies for exploring the link between urban form and travel behavior
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The Role of Land Use in Travel Mode Choice: Evidence from Boston and Hong Kong
inferredcites →https://doi.org/10.1080/03081060290032033openalex-snapshot
Location Efficiency: Neighborhood and Socio-Economic Characteristics Determine Auto Ownership and Use - Studies in Chicago, Los Angeles and San Francisco
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Using GPS Data to Understand Driving Behavior
inferredcites →https://doi.org/10.1111/tgis.12017openalex-snapshot
Estimating the Vehicle‐Miles‐Traveled Implications of Alternative Metropolitan Growth Scenarios: A B oston Example
inferredcites →https://doi.org/10.1162/0034653054638292openalex-snapshot
The Effects of Urban Spatial Structure on Travel Demand in the United States
inferredcites →https://doi.org/10.1177/0042098007085969openalex-snapshot
Policy Implications of Excess Commuting: Examining the Impacts of Changes in US Metropolitan Spatial Structure
inferredcites →https://doi.org/10.2172/888753openalex-snapshot
Sectoral trends in global energy use and greenhouse gasemissions
inferredcites →https://doi.org/10.3141/1617-03openalex-snapshot
Urban Form and Vehicular Travel: Some Empirical Findings
inferredcites →https://doi.org/10.3141/1780-10openalex-snapshot
Travel and the Built Environment: A Synthesis
inferredcites →https://doi.org/10.3141/2174-18openalex-snapshot
Residential Property Values and the Built Environment

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A Survey on Automated Vehicles in Low Visibility and Infrastructure-Limited Roadway Settings
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Examining Passenger Vehicle Miles Traveled and Carbon Emissions in the Boston Metropolitan Area
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The Current Status of Research in the Field of the Rural Built Environment and its Impact on the Daily Activities of Residents
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Revisiting car dependency: A worldwide analysis of car travel in global metropolitan areas
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Location, location, usage: How different notions of centrality can predict land usage in Singapore
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Working commuters’ tendency toward a travel pattern with potentially more walking: Examining the relative influence of personal and environmental measures
inferred← citeshttps://doi.org/10.1016/j.tra.2016.08.005openalex-snapshot
Individual transport emissions and the built environment: A structural equation modelling approach
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Financial Implications of Car Ownership and Use: a distributional analysis based on observed spatial variance considering income and domestic energy costs
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Towards sustainable urban transport in Singapore: Policy instruments and mobility trends
inferred← citeshttps://doi.org/10.1016/j.tranpol.2025.06.018openalex-snapshot
How do graph properties of road networks influence vehicle miles traveled? A study of 486 urban areas in the United States
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Identifying key factors associated with commuting burden and modelling their non-linear relationships: the case study of Shenzhen, China
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Walking duration in daily travel: an analysis among males and females using a hazard-based model
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Vehicle quota control, transport infrastructure investment and vehicle travel: A pseudo panel analysis
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Factors Affecting Road Traffic: Identifying Drivers of Annual Average Daily Traffic Using Least Absolute Shrinkage and Selection Operator Regression
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Elucidating the relationships between urban on-road carbon emissions and multiple built environment indicators via multisource trajectory data
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Modeling Residential Vehicle Miles Traveled at Block Group Level in California
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Which Neighborhood Matters? Estimating Multiple-Location Built Environment Effects on the Modality Style
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Road Network-based Determinants of Travel Demand
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Gendered walkability: Building a daytime walkability index for women
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Vehicle miles traveled and the built environment: New evidence from panel data
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Análise do Impacto da Atividade Econômica (PIB) no Veículo Quilômetro Viajado (VKT): estudo de caso no Brasil
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VEHICLE KILOMETERS TRAVELED (VKT): METODOLOGIA PARA O CÁLCULO E SUAS APLICAÇÕES NOS SISTEMAS DE TRANSPORTE
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RESIDENTIAL DENSITY AND VEHICLE MILES TRAVELLED: EVIDENCE FROM HARARE METROPOLITAN REGION
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