Job location and the journey-to-work: An empirical analysis

Gera, Surendra; Kühn, Peter

doi:10.1016/0038-0121(80)90035-x

Cited by 7 publications

(6 citation statements)

References 11 publications

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“…Therefore, we estimated commute distance based on the road network without taking transit, bicycle or pedestrian routes into consideration. The mean commuting distance/time of a zone is commonly seen in the literature as a measure of commuting pattern (Gera, 1979;Gera and Kuhn, 1980;Gordon et al, 1989b;Gordon et al, 1991;Giuliano and Small, 1993;Cervero and Wu, 1998;Wang, 2000;Wang, 2001;Wang, 2003;Kim, 2008;Sultana and Weber, 2014). Similar to Wang (2000Wang ( , 2001Wang ( , 2003, mean commuting distance/time in a tract is the average travel distance/time from this tract to all employment tracts weighted by corresponding number of commuters.…”

Section: Overall Temporal Trend Of Commutingmentioning

confidence: 99%

“…This research finally selected the nonspatial factor income and aims at understanding its relationship with the observed commuting pattern (i.e., commuting variability by different income groups). Specifically, we use wage rate earned by resident workers instead of household income because of better data on wages from the CTPP and for wage's closer tie to commuting behavior than other income sources (Gera and Kuhn, 1980;Wang, 2003).…”

Section: Calibration Of Jobp Requires Defining the Value For The Distmentioning

confidence: 99%

“…In addition, the individual's job location behavior would induce workers to locate their jobs at a distance from their residential places in order to achieve maximization in their earnings net of travel cost and job-searching spending. The job location behavior is more usual in a job-decentralized city (Gera and Kuhn, 1980). The third possible reason refers to the nature of their jobs.…”

Section: Commuting Pattern By Neighborhood's Average Wagementioning

confidence: 99%

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Temporal Trends of Intraurban Commuting in Baton Rouge, 1990–2010

Wang

2016

Annals of the American Association of Geographers

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Based on the 1990-2010 CTPP data in Baton Rouge, this research analyzes the temporal trends of commuting patterns in both time and distance. In comparison to previous work, commuting length is calibrated more accurately by Monte Carlo based simulation of individual journey-to-work trips to mitigate the zonal effect. First, average commute distance kept climbing in 1990-2010 while average commute time increased in 1990-2000 but then slightly dropped toward 2010. Secondly, urban land use remained a good predictor of commuting pattern over time (e.g., explaining up to 90% of mean commute distance and about 30% of mean commute time). Finally, the percentage of excess commuting increased significantly in 1990-2000 and stabilized afterwards.

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Section: Overall Temporal Trend Of Commutingmentioning

confidence: 99%

Section: Calibration Of Jobp Requires Defining the Value For The Distmentioning

confidence: 99%

Section: Commuting Pattern By Neighborhood's Average Wagementioning

confidence: 99%

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Temporal Trends of Intraurban Commuting in Baton Rouge, 1990–2010

Wang

2016

Annals of the American Association of Geographers

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“…The mean commuting distance/time of a zone is a common measure of commuting pattern (Gera 1979;Gera and Kuhn 1980;Gordon et al 1989a;Gordon et al 1991;Giuliano and Small 1993;Cervero and Wu 1998;Wang 2000;Wang 2001;Wang 2003;Kim 2008;O'Kelly et al 2012;Sultana and Weber 2014), and is defined as the average travel distance/time from one zone to all zones weighted by corresponding number of commuters.…”

Section: Measuring Mean Commuting Distance and Timementioning

confidence: 99%

“…In addition, the individual's job location behavior would induce workers to locate their jobs at a distance from their residential places in order to achieve maximization in their earnings net of travel cost and jobsearching spending. The job location behavior is more usual in a job-decentralized city (Gera and Kuhn 1980). The third possible reason refers to the nature of their jobs.…”

Section: Commuting Patterns By Neighborhood's Average Wagementioning

confidence: 99%

Commuting Variability by Wage Groups in Baton Rouge, 1990–2010

Wang

Wilmot

2016

Papers in Applied Geography

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Residential segregation recently has shifted to more class/income-based in the United States, and neighborhoods are undergoing significant changes such as commuting patterns over time. To better understand the commuting inequality across neighborhoods of different income levels, this research analyzes commuting variability (in both distance and time) across wage groups as well as stability over time using the CTPP data 1990-2010 in Baton Rouge. In comparison to previous work, commuting distance is estimated more accurately by Monte Carlo simulation of individual trips to mitigate aggregation error and scale effect. The results based on neighborhood's mean wage rate indicate that commuting behaviors vary across areas of different wage rates and such variability is captured by a convex shape. Affluent neighborhoods tended to commute more but highest-wage neighborhoods retreated for less commuting. This trend remains relatively stable over time despite an overall transportation improvement in general. A complementary analysis based on the distribution of wage groups is conducted to gain more detailed insights and uncovers the lasting poor mobility (e.g., fewer location and transport options) of the lowest-wage workers in 1990-2010.

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Occupation and the journey-to-work: Some further analysis

Gera¹,

Kühn²

1981

Socio-Economic Planning Sciences

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Job location and the journey-to-work: An empirical analysis

Cited by 7 publications

References 11 publications

Temporal Trends of Intraurban Commuting in Baton Rouge, 1990–2010

Temporal Trends of Intraurban Commuting in Baton Rouge, 1990–2010

Commuting Variability by Wage Groups in Baton Rouge, 1990–2010

Occupation and the journey-to-work: Some further analysis

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