Add wos sample results library
This commit is contained in:
parent
6305e61d1f
commit
19e409ad85
2173 changed files with 235628 additions and 20 deletions
|
|
@ -0,0 +1,108 @@
|
|||
abstract: 'Accessibility measures have been extensively used to explore the
|
||||
|
||||
outcomes of the spatial distribution of transport, jobs, and population
|
||||
|
||||
groups in cities. Despite its wide use, identifying the population
|
||||
|
||||
groups that most benefit from accessibility is not straightforward and
|
||||
|
||||
different metrics might result in different conclusions. The present
|
||||
|
||||
work aims to analyze the potential bias of using gravity-based measures
|
||||
|
||||
based on revealed mobilities to identify job accessibility inequalities.
|
||||
|
||||
By looking at two large and very different regions, the municipality of
|
||||
|
||||
Sa similar to o Paulo (SP) and the Greater London Area (GLA), we argue
|
||||
|
||||
that distance decay functions built from current trip behaviors should
|
||||
|
||||
be carefully used in evaluations of accessibility inequalities because
|
||||
|
||||
it may underestimate disparities between socio-occupational groups and
|
||||
|
||||
also result in a misleading interpretation of impedance factors. Two
|
||||
|
||||
distinct approaches were implemented to support those claims. We first
|
||||
|
||||
estimate group-specific distance decay functions, considering only
|
||||
|
||||
travel time. Secondly, we consider both travel time and travel cost
|
||||
|
||||
relative to income to estimate zone-specific and city-specific distance
|
||||
|
||||
decay functions for each one of the study areas. The population of both
|
||||
|
||||
cases studies was stratified according to the NS-SEC standard to select
|
||||
|
||||
the highest and the lowest socio-occupational groups and to explore job
|
||||
|
||||
accessibility inequalities. It was found that higherlevel and
|
||||
|
||||
lower-level socio-occupational groups of SP and GLA present striking
|
||||
|
||||
differences in terms of travel times and relative travel costs, with SP
|
||||
|
||||
being more unequal. By applying the distance decay function of the
|
||||
|
||||
lowest level socio-occupational group to the calculations of the job
|
||||
|
||||
accessibility of the highest level group, and by adding travel cost to
|
||||
|
||||
the analysis, we highlight inconsistencies between gravity-based
|
||||
|
||||
accessibility calculations and theory, as trips taken by different
|
||||
|
||||
groups can be mistakenly associated with willingness to travel. From a
|
||||
|
||||
policy perspective, our findings emphasize that accessibility
|
||||
|
||||
inequalities in large urban centers, especially in the Global South, can
|
||||
|
||||
be underestimated if revealed mobilities are considered to represent the
|
||||
|
||||
willingness to travel and by not taking into account the relative cost
|
||||
|
||||
of travel.'
|
||||
affiliation: 'Giannotti, M (Corresponding Author), Univ Sao Paulo, Ctr Metropolitan
|
||||
Studies, Lab Geospatial Anal Polytech Sch, BR-05508070 Sao Paulo, SP, Brazil.
|
||||
|
||||
Giannotti, Mariana; Tomasiello, Diego B.; Bittencourt, Taina A., Univ Sao Paulo,
|
||||
Ctr Metropolitan Studies, Lab Geospatial Anal Polytech Sch, BR-05508070 Sao Paulo,
|
||||
SP, Brazil.'
|
||||
article-number: '103337'
|
||||
author: Giannotti, Mariana and Tomasiello, Diego B. and Bittencourt, Taina A.
|
||||
author-email: mariana.giannotti@usp.br
|
||||
author_list:
|
||||
- family: Giannotti
|
||||
given: Mariana
|
||||
- family: Tomasiello
|
||||
given: Diego B.
|
||||
- family: Bittencourt
|
||||
given: Taina A.
|
||||
da: '2023-09-28'
|
||||
doi: 10.1016/j.jtrangeo.2022.103337
|
||||
earlyaccessdate: APR 2022
|
||||
eissn: 1873-1236
|
||||
files: []
|
||||
issn: 0966-6923
|
||||
journal: JOURNAL OF TRANSPORT GEOGRAPHY
|
||||
keywords: Accessibility measures; Inequalities; Public transport
|
||||
keywords-plus: 'JOB ACCESSIBILITY; TRANSPORT ACCESSIBILITY; SPATIAL EQUITY; SAO-PAULO;
|
||||
|
||||
EDUCATION; COST; TIME; CITY; CARE'
|
||||
language: English
|
||||
month: MAY
|
||||
number-of-cited-references: '44'
|
||||
papis_id: c241d793289e08478922023534db352b
|
||||
ref: Giannotti2022biasestimating
|
||||
times-cited: '6'
|
||||
title: The bias in estimating accessibility inequalities using gravity-based metrics
|
||||
type: Article
|
||||
unique-id: WOS:000798115800003
|
||||
usage-count-last-180-days: '7'
|
||||
usage-count-since-2013: '13'
|
||||
volume: '101'
|
||||
web-of-science-categories: Economics; Geography; Transportation
|
||||
year: '2022'
|
||||
Loading…
Add table
Add a link
Reference in a new issue