An International Comparison of Equity in Accessibility to Jobs: London, São Paulo, and the Randstad

John P. Pritchard; Diego Tomasiello; Mariana Giannotti; Karst Geurs

doi:10.32866/7412

An International Comparison of Equity in Accessibility to Jobs: London, São Paulo, and the Randstad

John P. Pritchard, Diego Tomasiello, Mariana Giannotti, Karst Geurs

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Abstract

We analyze the impact of different accessibility measures on the interpretation of associated equity analysis using the Gini coefficient and the (pseudo) Palma ratio, and the impact of the method of assigning zonal accessibility on Gini estimation results using four different alternatives. Two types of potential accessibility measures (zonal and person-based) and two ratios of potential jobs to potential population (intra-modal and multi-modal) are estimated for car and transit in the Netherlands' Randstad region, Greater London, and São Paulo relying on network data, schedule-based data, and speed profiles. Gini results are heavily influenced by the accessibility indicator and the method of assignment. The Palma ratio is also influenced by the choice of accessibility indicator, with the person-based potential accessibility measure tending to show greater inequity.

Original language	English
Pages (from-to)	1-12
Journal	Transport Findings
DOIs	https://doi.org/10.32866/7412
Publication status	Published - 26 Feb 2019

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10.32866/7412Licence: CC BY-NC

7412-an-international-comparison-of-equity-in-accessibility-to-jobs-london-sao-paulo-and-the-randstadFinal published version, 382 KBLicence: CC BY-NC

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abstract = "We analyze the impact of different accessibility measures on the interpretation of associated equity analysis using the Gini coefficient and the (pseudo) Palma ratio, and the impact of the method of assigning zonal accessibility on Gini estimation results using four different alternatives. Two types of potential accessibility measures (zonal and person-based) and two ratios of potential jobs to potential population (intra-modal and multi-modal) are estimated for car and transit in the Netherlands' Randstad region, Greater London, and S{\~a}o Paulo relying on network data, schedule-based data, and speed profiles. Gini results are heavily influenced by the accessibility indicator and the method of assignment. The Palma ratio is also influenced by the choice of accessibility indicator, with the person-based potential accessibility measure tending to show greater inequity.",

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N2 - We analyze the impact of different accessibility measures on the interpretation of associated equity analysis using the Gini coefficient and the (pseudo) Palma ratio, and the impact of the method of assigning zonal accessibility on Gini estimation results using four different alternatives. Two types of potential accessibility measures (zonal and person-based) and two ratios of potential jobs to potential population (intra-modal and multi-modal) are estimated for car and transit in the Netherlands' Randstad region, Greater London, and São Paulo relying on network data, schedule-based data, and speed profiles. Gini results are heavily influenced by the accessibility indicator and the method of assignment. The Palma ratio is also influenced by the choice of accessibility indicator, with the person-based potential accessibility measure tending to show greater inequity.

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An International Comparison of Equity in Accessibility to Jobs: London, São Paulo, and the Randstad

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