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Retracted: Modeling access to public transport in urban areas

2016· article· en· 23 citations· W2552285419 on OpenAlex· 10.1002/atr.1429

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Canadian venueIt was published in a Canadian venue.

No Canadian affiliation. An affiliation-only frame — the usual design — would never have seen this work. It is one of the works that make the case for inverting the frame.

Post-publication record

Nature
Retraction
Reason
Duplication of/in Article;Euphemisms for Duplication;Investigation by Company/Institution;Upgrade/Update of Prior Notice(s);
Date
5/26/2020 0:00
Flagged by OpenAlex?
Yes

Source: Retraction Watch, joined by DOI. OpenAlex records retraction as is_retracted, a boolean over a state space with at least four values, so it cannot express an expression of concern, a correction or a reinstatement — it reports them as false, which reads as “fine”.

Abstract

Summary It is important to measure public transport accessibility to help improve the sustainability of transport systems in metropolitan areas. Although many studies have defined different approaches for measuring public transport accessibility, there have been limited methods developed for measuring accessibility levels that incorporate spatial aspects. Population density is an important distributional indicator that has also been ignored in previous methods developed for quantifying accessibility. This paper outlines the research context for measurement of public transport accessibility and then describes a methodology developed as well as an application the Public Transport Accessibility Index in Melbourne area, Australia. Using the Victorian Integrated Survey of Travel and Activity dataset, we applied separate‐ordered logit regression models to examine how the new index performs with a series of predictor variables compared with two existing approaches. Key findings indicate that there is a higher probability of public transport patronage in areas with higher levels of accessibility. Furthermore, it was found using statistical modelling that the new index produces better results compared with previous approaches. Copyright © 2016 John Wiley & Sons, Ltd.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

The record

Venue
Journal of Advanced Transportation
Topic
Urban Transport and Accessibility
Field
Social Sciences
Canadian institutions
Funders
Keywords
Public transportMetropolitan areaIndex (typography)Context (archaeology)Transport engineeringComputer scienceLogistic regressionRegression analysisPopulationMeasure (data warehouse)LogitRegional scienceEconometricsGeographyEngineeringEconomicsData miningEnvironmental healthMachine learning
Has abstract in OpenAlex
yes