scholarly journals Determinants of Per Capita Vehicle Miles Traveled (VMT): The Case of California

2014 ◽  
Author(s):  
Mintesnot Woldeamanuel ◽  
Andrew Kent
Keyword(s):  
Multivariate Regression ◽  
Data Sets ◽  
Vehicle Miles Traveled ◽  
Household Travel Survey ◽  
Reduction Strategies ◽  
Per Capita ◽  
Household Travel ◽  
National Household Travel Survey ◽  
Over Time

This study uses multivariate regression to isolate determinants of per capita VMT in California from the National Household Travel Survey (NHTS), as well as a Chow Test to identify structural change between the 2001 and 2009 NHTS. Results across the 2001 and 2009 NHTS data sets indicate certain determinant variables have emerged over time and others have changed in strength of impact. Our findings support mixed methods VMT reduction strategies to achieve near- and long- term GHG targets.

scholarly journals Sentiment analysis of popular-music references to automobiles, 1950s to 2010s

2021 ◽  
Author(s):  
Chenyang Wu ◽  
Scott Le Vine ◽  
Elizabeth Bengel ◽  
Jason Czerwinski ◽  
John Polak
Keyword(s):  
Popular Music ◽  
Standard Data ◽  
Household Travel Survey ◽  
Cultural Mores ◽  
Household Travel ◽  
Music Lyrics ◽  
Top 40 ◽  
Machine Analysis ◽  
National Household Travel Survey ◽  
Over Time

AbstractIn recent years, there has been a scholarly debate regarding the decrease in automobile-related mobility indicators (car ownership, driving license holding, VMT, etc.). Broadly speaking, two theories have been put forward to explain this trend: (1) economic factors whose impacts are well-understood in principle, but whose occurrence among young adults as a demographic sub-group had been overlooked, and (2) less well-understood shifts in cultural mores, values and sentiment towards the automobile. This second theory is devilishly difficult to study, due primarily to limitations in standard data resources such as the National Household Travel Survey and international peer datasets. In this study we first compiled a database of lyrics to popular music songs from 1956 to 2015 (defined by inclusion in the annual “top 40”), and subsequently identified references to automobiles within this corpus. We then evaluated whether there is support for theory #2 above within popular music, by looking at changes from the 1950s to the 2010s. We demonstrate that the frequency of references to automobility tended for many years to increase over time, however there has more recently been a decline after the late 2000s (decade). In terms of the sentiment of popular music lyrics that reference automobiles, our results are mixed as to whether the references are becoming increasingly positive or negative (machine analysis suggests increasing negativity, while human analysis did not find a significant association), however a consistent observation is that sentiment of automobile references have over time become more positive relative to sentiment of song lyrics overall. We also show that sentiment towards automobile references differs systematically by genre, e.g. automobile references within ‘Rock’ lyrics are in general more negative than similar references to cars in other music genres). The data generated on this project have been archived and made available open access for use by future researchers; details are in the full paper.

Estimating Rebound Effects in Personal Automotive Transport: Gas Price and the Presence of Hybrids

2014 ◽  
Vol 59 (2) ◽  
pp. 167-175 ◽  
Author(s):  
Carlena Cochi Ficano ◽  
Patrick Thompson
Keyword(s):  
Percent Reduction ◽  
Vehicle Miles Traveled ◽  
Rebound Effects ◽  
Household Travel Survey ◽  
Level Data ◽  
Percent Increase ◽  
Vehicle Fleet ◽  
Household Travel ◽  
National Household Travel Survey ◽  
Gas Price

Energy conservation gains within the personal vehicle fleet are undermined if drivers respond to declining transportation prices by increasing the quantity of transportation demanded, a phenomenon referred to as “rebound.” In this analysis, we estimate transportation rebound in the U.S. using 2009 vehicle level data from the National Household Travel Survey (NHTS). Results from OLS and IV models indicate that a one percent reduction in driving cost associates with between a 0.56 and a 0.78 percent increase in vehicle miles traveled, with the effect more pronounced in single than multiple vehicle households and among drivers with the lowest driving intensity.

scholarly journals Trends in Taxi Use and the Advent of Ridehailing, 1995–2017: Evidence from the US National Household Travel Survey

Urban Science ◽  
2018 ◽  
Vol 2 (3) ◽  
pp. 79 ◽  
Author(s):  
Matthew Conway ◽  
Deborah Salon ◽  
David King
Keyword(s):  
Negative Relationship ◽  
The United States ◽  
Vehicle Ownership ◽  
Large Cities ◽  
Travel Survey ◽  
Household Travel Survey ◽  
Starting Point ◽  
Household Travel ◽  
National Household Travel Survey ◽  
Vehicle Market

The advent of ridehailing services such as Uber and Lyft has expanded for-hire vehicle travel. We use data from the 2017 National Household Travel Survey (NHTS) to investigate the extent of this expansion in the United States. We report changes in the for-hire vehicle market since ridehailing services became available and statistically estimate the determinants of ridehailing use. From 2009–2017, the for-hire vehicle market share doubled. While for-hire vehicles still only account for 0.5% of all trips, the percent of all Americans who use ridehailing in any given month is nearly 10%. Within the for-hire vehicle market, this trend of growth has not been uniformly distributed across demographic groups or geographies; it has been greater in mid-sized and large cities, and among younger individuals and wealthier households. This suggests that understanding the equity implications of ridehailing is an important avenue for research. Multivariate analysis provides evidence that both transit and nonmotorized transport use are correlated with ridehailing use, that ridehailing has a negative relationship with vehicle ownership, and that residents of denser areas have higher ridehailing use. Given the rapid growth of ridehailing, it has become important for cities to include for-hire vehicles in their planning going forward. These NHTS data provide a starting point, but more detailed and frequent data collection is needed to fully understand this many-faceted, rapidly-changing market.

scholarly journals Continuities and discontinuities of Russian urban housing: The Soviet housing experiment in historical long-term perspective

Urban Studies ◽  
2019 ◽  
Vol 57 (8) ◽  
pp. 1768-1785 ◽  
Author(s):  
Alexander Kalyukin ◽  
Sebastian Kohl
Keyword(s):  
Urban Housing ◽  
Regional Differentiation ◽  
Differential Growth ◽  
Living Space ◽  
Housing Characteristics ◽  
Per Capita ◽  
Soviet Legacy ◽  
Almost All ◽  
Over Time

Did the socialist experiment disrupt continuity in Russian urban housing? Based on a unique collection of urban data covering several hundred Russian cities and spanning three regimes across more than a century, this paper gives a nuanced account of continuities and discontinuities of housing in post-Soviet cities. Three main housing characteristics are analysed: urban density (persons per building and living space per capita), ownership structure and the modernisation of stock (building material and provision with amenities). Although all Russian cities underwent a number of major shocks and regime changes during the course of the 20th century, their rankings with regard to these three key housing characteristics are still significantly correlated over time, whereas living space per capita is largely uncorrelated over time. This holds true despite significant convergence processes in almost all dimensions and also when including contemporary control variables. We hypothesise that local or regional building traditions, regional differentiation in Soviet urban planning as well as Soviet land use specificities could explain differential growth across cities. Going beyond existing late-Soviet-legacy timeframes, the long-term perspective reveals that even major regime shocks did not completely erase regionally shaped patterns in housing conditions.

scholarly journals Ownership and Usage Analysis of Alternative Fuel Vehicles in the United States with the 2017 National Household Travel Survey Data

2019 ◽  
Vol 11 (8) ◽  
pp. 2262 ◽  
Author(s):  
Xuefang Li ◽  
Chenhui Liu ◽  
Jianmin Jia
Keyword(s):  
United States ◽  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Alternative Fuel ◽  
The United States ◽  
Alternative Fuel Vehicles ◽  
Household Travel Survey ◽  
Household Travel ◽  
National Household Travel Survey ◽  
Daily Trip

By using the 2017 National Household Travel Survey (NHTS) data, this study explores the status quo of ownership and usage of conventional vehicles (CVs) and alternative fuel vehicles (AFVs), i.e., Hybrid Electric Vehicles (HEVs), Plug-in Hybrid Electric Vehicles (PHEVs) and Battery Electric Vehicles (BEVs), in the United States. The young ages of HEVs (6.0 years), PHEVs (3.2 years) and BEVs (3.1 years) demonstrate the significance of the 2017 NHTS data. The results show that after two decades of development, AFVs only occupy about 5% of annual vehicle sales, and their share does not show big increases in recent years. Meanwhile, although HEVs still dominate the AFV market, the share of PHEVs & BEVs has risen to nearly 50% in 2017. In terms of ownership, income still seems to be a major factor influencing AFV adoption, with the median annual household incomes of CVs, HEVs, PHEVs and BEVs being $75,000, $100,000, $150,000 and $200,000, respectively. Besides, AFV households are more likely to live in urban areas, especially large metropolitan areas. Additionally, for AFVs, the proportions of old drivers are much smaller than CVs, indicating this age group might still have concerns regarding adopting AFVs. In terms of travel patterns, the mean and 85th percentile daily trip distances of PHEVs and HEVs are significantly larger than CVs, followed by BEVs. BEVs might still be able to replace CVs for meeting most travel demands after a single charge, considering most observed daily trip distances are fewer than 93.5 km for CVs. However, the observed max daily trip distances of AFVs are still much smaller than CVs, implying increasing the endurance to meet extremely long-distance travel demands is pivotal for encouraging consumers to adopt AFVs instead of CVs in the future.

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