Literature DB >> 12321092

Density and the journey to work.

D M Levinson, A Kumar.   

Abstract

"This paper evaluates the influence of residential density on commuting behavior across U.S. cities while controlling for available opportunities, the technology of transportation infrastructure, and individual socio-economic and demographic characteristics. The measures of metropolitan and local density are addressed separately.... Regressions are conducted to predict commuting time, speed, and distance, by mode of travel on a cross-section of individuals nationally and city by city. The results indicate that residential density in the area around the tripmaker's home is an important factor: the higher the density the lower the speed and the shorter the distance.... The paper suggests a threshold density at which the decrease in distance is overtaken by the congestion effects resulting in a residential density between 7,500 and 10,000 persons per square mile (neither the highest nor lowest) with the shortest duration auto commutes." excerpt

Entities:  

Keywords:  Americas; Behavior; Commuting; Developed Countries; Distance; Economic Factors; Geographic Factors; North America; Northern America; Population; Population Density; Spatial Distribution; Transportation; United States; Urban Spatial Distribution

Mesh:

Year:  1997        PMID: 12321092

Source DB:  PubMed          Journal:  Growth Change        ISSN: 0017-4815


  5 in total

1.  How Does City Size Affect the Cost of Household Travel? Evidence from an Urban Household Survey in China.

Authors:  Zhentao Li; Tianzi Li
Journal:  Int J Environ Res Public Health       Date:  2022-06-04       Impact factor: 4.614

2.  A Time-Based Objective Measure of Exposure to the Food Environment.

Authors:  Jason Y Scully; Anne Vernez Moudon; Philip M Hurvitz; Anju Aggarwal; Adam Drewnowski
Journal:  Int J Environ Res Public Health       Date:  2019-04-02       Impact factor: 3.390

3.  Causal connections between socioeconomic disparities and COVID-19 in the USA.

Authors:  Tannista Banerjee; Ayan Paul; Vishak Srikanth; Inga Strümke
Journal:  Sci Rep       Date:  2022-09-22       Impact factor: 4.996

4.  Exploring universal patterns in human home-work commuting from mobile phone data.

Authors:  Kevin S Kung; Kael Greco; Stanislav Sobolevsky; Carlo Ratti
Journal:  PLoS One       Date:  2014-06-16       Impact factor: 3.240

5.  Do Compactness and Poly-Centricity Mitigate PM10 Emissions? Evidence from Yangtze River Delta Area.

Authors:  Jing Tao; Ying Wang; Rong Wang; Chuanmin Mi
Journal:  Int J Environ Res Public Health       Date:  2019-10-30       Impact factor: 3.390

  5 in total

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