The residential parking rent price elasticity of car ownership in Japan

Seya, Hajime; Nakamichi, Kumiko; Yamagata, Yoshiki

doi:10.1016/j.tra.2016.01.005

Cited by 14 publications

(8 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Existing studies have identified several factors affecting car ownership and purchases. The factors that affect car ownership and sales include individual and household income, employment status, ethnic background, household location, demographic change, car price, access to and quality of public transportation, parking supply, population density, parking price, specific life cycle events (such as employment change and childbirth), and financing availability (Cullinane, 2002;Guo, 2013;Ritter and Vance, 2013;Oakil et al, 2014;Clark et al, 2015;Ling et al, 2015;Oakil et al, 2016;Seya et al, 2016;Wu et al, 2016;Yagi and Managi, 2016). Considerable discrepancies exist on the relative importance of these factors that appear to be spatially differentiated and are dependent on local contexts.…”

Section: Literature Reviewmentioning

confidence: 99%

Spatial patterns of car sales and their socio-economic attributes in China

Liu

Song

et al. 2017

Chin. Geogr. Sci.

View full text Add to dashboard Cite

Using data from the Economic Advisory Center of the State Information Center (SIC), we examined the spatial patterns of car sales in China at the prefectural level in 2012. We first analyzed the spatial distributions of car sales of different kinds of automakers (foreign automakers, Sino-foreign joint automakers, and Chinese automakers), and then identified spatial clusters using the local Moran's indexes. Location quotient analysis was applied to examine the relative advantage of each type of automaker in the local markets. To explain the variations of car sales across cities, we collected several socioeconomic variables and conducted regression analyses. Further, factor analysis was used to extract independent variables to avoid the problem of multicollinearity. By incorporating a spatial lag or spatial error in the models, we calibrated our spatial regression models to address the spatial dependence problem. The analytical results show that car sales varied significantly across cities in China, and most of the cities with higher car sales were the developed cities. Different automakers exhibit diverse spatial patterns in terms of car sales volume, spatial clusters, and location quotients. The scale and incomes factor were extracted and verified as the two most significant and positive factors that shape the spatial distributions of car sales, and together with the spatial effect, explained most of the variations of car sales across cities.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Spatial patterns of car sales and their socio-economic attributes in China

Liu

Song

et al. 2017

Chin. Geogr. Sci.

View full text Add to dashboard Cite

show abstract

“…Theory indicates that cheap residential parking reduces the (fixed) costs of owning a car and thereby increases vehicle demand (Calthrop et al, 2000;Shoup, 2005;Arnott, 2006). The empirical literature that quantifies this effect is small, but supports the idea that higher residential parking supply and lower residential parking rents are associated with higher car ownership (Guo, 2013;Seya et al, 2016). 2 Furthermore, waiting time for an on-street parking permit is shown to negatively affect vehicle demand.…”

Section: Introductionmentioning

confidence: 96%

Residential parking costs and car ownership: Implications for parking policy and automated vehicles

Ostermeijer

Koster

Ommeren

2019

Regional Science and Urban Economics

View full text Add to dashboard Cite

Residents are often offered on-street parking at a fraction of the market price which may cause excess car ownership. However, residential parking costs are difficult to observe, so we propose an approach to estimate implicit residential parking costs and then examine the effect of these costs on household car ownership. We apply our approach to the four largest metropolitan areas of the Netherlands. Our results indicate that for city centres, annual residential parking costs are around e1000, or roughly 17 percent of car ownership costs. Households facing a one standard deviation (e503) increase in annual parking costs own 0.085 fewer cars on average, corresponding to a price elasticity of car demand of about −0.7. We apply these estimates to gauge the impact of raising residential parking costs and the potential implications of automated vehicles.

show abstract

“…2 Takada (2015) wrote a comprehensive textbook about Japanese parking policy in Japanese. However, few resources about Japanese parking in English exist, withAxhausen et al (2015) one exception Seya et al (2016). recently investigated residential parking rent price elasticity of car ownership in Japan.…”

mentioning

confidence: 99%

Spatial unconditional quantile regression: application to Japanese parking price data

2020

Self Cite

View full text Add to dashboard Cite

The present study develops a spatial unconditional quantile regression by extending Firpo et al.'s (2009) unconditional quantile regression and empirically investigates the determinants of parking prices at different quantiles of prices in Japan. The empirical results suggest that spatial competition in terms of unit price, and the unit time play important roles in determining parking prices. On the contrary, price is unaffected by demand, approximated by adopting several employment density variables and aggregated people flow data obtained from cell phones. Besides, significant differences exist among the factors that affect parking prices during the day and at night as well as among the unconditional quantiles.

show abstract

The residential parking rent price elasticity of car ownership in Japan

Cited by 14 publications

References 33 publications

Spatial patterns of car sales and their socio-economic attributes in China

Spatial patterns of car sales and their socio-economic attributes in China

Residential parking costs and car ownership: Implications for parking policy and automated vehicles

Spatial unconditional quantile regression: application to Japanese parking price data

Contact Info

Product

Resources

About