Does accessibility matter? Understanding the effect of job accessibility on labour market outcomes

Jin, Jangik; Paulsen, Kurt

doi:10.1177/0042098016684099

Cited by 48 publications

(34 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On the other hand, the introduction of a commuter train in Sweden, on a preexisting rail-track was shown to have no impact on the earnings and unemployment rates of affected individuals (Åslund, Blind, and Dahlberg 2017). Jin and Paulsen (2017) find that job accessibility plays a strong role in explaining employment rates and household income in Chicago. Increased accessibility to jobs improved both, especially for low-income households.…”

Section: Why Focus On Accessibility? a Short Literature Reviewmentioning

confidence: 75%

Exploring Accessibility to Employment Opportunities in African Cities: A First Benchmark

Peralta-Quirós¹,

Kerzhner²,

Avner³

2019

View full text Add to dashboard Cite

The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the International Bank for Reconstruction and Development/World Bank and its affiliated organizations, or those of the Executive Directors of the World Bank or the governments they represent.

show abstract

Section: Why Focus On Accessibility? a Short Literature Reviewmentioning

confidence: 75%

Exploring Accessibility to Employment Opportunities in African Cities: A First Benchmark

Peralta-Quirós¹,

Kerzhner²,

Avner³

2019

View full text Add to dashboard Cite

show abstract

“…Also, the homeownership gap can be larger between racial and ethnic groups [44]. One of the problems raised by scholars is that lower job accessibility may produce negative economic consequences such as higher unemployment rates and lower household incomes [34]. To reduce these unintended consequences, these two land use features that increase access to jobs should be encouraged in planning practice.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

“…., N. In this equation, potential job seekers are defined as persons 18-64 years old. This refined accessibility model has been employed in current several studies [4,32] and proved its applicability (see [34]). Hence, we measure job accessibility based on Equation (8).…”

Section: Job Accessibilitymentioning

confidence: 95%

“…For example, Osland and Thorsen [32] showed that this gravity-based labor market accessibility considering spatial distribution of population and employment can explain spatial variations of housing prices. Jin and Paulsen [34] have shown that this refined gravity-based accessibility measure is appropriate to examine the relationship between job accessibility and labor market outcomes. Although its applicability has been proved in several examples of research, it has not been used to investigate its effect on housing prices.…”

Section: Job Accessibility Measuresmentioning

confidence: 99%

“…Specifically, we use two instrumental variables-distance to the major roadways (including every interstate highway, state highways, and arterial roadways) and distance-to subcenters. These two variables are exogenous, but they are not correlated with job accessibility and mixed land use since they potentially influence the spatial distribution of jobs [34]. In general, firms are likely to locate near major roadways and subcenters for reducing transportation costs and obtaining the benefits of agglomeration economies.…”

Section: Instrumental Variablesmentioning

confidence: 99%

See 2 more Smart Citations

The Effect of Land Use on Housing Price and Rent: Empirical Evidence of Job Accessibility and Mixed Land Use

Jin

2019

Sustainability

Self Cite

View full text Add to dashboard Cite

Recently, the improvement of job accessibility and the encouragement of mixed land use have been gaining popularity in the planning field. However, little is known about whether these two factors are able to meet housing consumers’ needs. This study aims to analyze how job accessibility and mixed land use satisfy housing consumers’ needs. Particularly, this study investigates housing consumers’ willingness to pay for these two features by using housing prices and rents in the Chicago metropolitan area. In order to deal with endogeneity between land use and housing prices and spatial autocorrelation between housing prices, spatial econometric models are used with instrumental variables. Interestingly, our findings show that an increase in job accessibility leads to an increase in housing prices, whereas it is not related to rents. We also found that mixed land use decreases housing prices, but increases rents.

show abstract

The Impact of Built Environment on the Commuting Distance of Middle/Low-income Tenant Workers in Mega Cities Based on Nonlinear Analysis in Machine Learning

Shen,

Long,

Tian

et al. 2023

Urban Rail Transit

View full text Add to dashboard Cite

The issues of housing and traffic in China's mega cities have become increasingly pressing problems, particularly for middle/low-income tenant workers. These tenants are from less advantaged socioeconomic backgrounds, which has resulted in a significant geographical separation between their workplace and their residence. Although a large number of studies have confirmed that built environment factors have a solid impact on residents’ commuting distance, few studies have investigated the mechanism underlying the nonlinear influence on middle/low-income tenants. This paper aims to provide an in-depth analysis of the key factors and nonlinear influencing mechanism of the built environment on middle/low-income tenant workers’ commuting distance by establishing a gradient-boosting decision tree model, using Beijing as an empirical case. The paper reveals three primary findings: (1) An important nonlinear relationship between the surrounding built environment and peoples’ jobs–housing spatial proximity can be observed for those middle/low-income tenant workers who use slow and public modes of commuting. Specifically, the density of public transport stations, road networks, and workplaces, and the land use mix play a dominant role. (2) A limited effect of built environment factors can be found for the same group of tenant workers who choose cars as their mode of commuting. (3) The differences in self-selected commuting modes have a significant mediating effect on the relationship between the built environment and jobs–housing situation among middle/low-income tenant workers. Given this, effective policy guidance for residents’ travel modes is necessary to optimize the built environment indicators to achieve the best effect. In addition, we should consider giving priority to the matching indicators such as land use mix and resident population density. Another possibility is to strengthen the connection to the public transport stations, which in turn can optimize the walkability in residential environments.

show abstract

Does accessibility matter? Understanding the effect of job accessibility on labour market outcomes

Cited by 48 publications

References 44 publications

Exploring Accessibility to Employment Opportunities in African Cities: A First Benchmark

Exploring Accessibility to Employment Opportunities in African Cities: A First Benchmark

The Effect of Land Use on Housing Price and Rent: Empirical Evidence of Job Accessibility and Mixed Land Use

The Impact of Built Environment on the Commuting Distance of Middle/Low-income Tenant Workers in Mega Cities Based on Nonlinear Analysis in Machine Learning

Contact Info

Product

Resources

About