Imperial College London
Alternate

DrArunaSivakumar

Faculty of Engineering, Department of Civil and Environmental Engineering

Reader in Consumer Demand Modelling And Urban Systems
 
 
 
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Contact

 

+44 (0)20 7594 6036a.sivakumar Website

 
 
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Location

 

604Skempton BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Dixit:2020:10.1016/j.trd.2020.102473,
author = {Dixit, M and Sivakumar, A},
doi = {10.1016/j.trd.2020.102473},
journal = {Transportation Research Part D: Transport and Environment},
pages = {1--17},
title = {Capturing the impact of individual characteristics on transport accessibility and equity analysis},
url = {http://dx.doi.org/10.1016/j.trd.2020.102473},
volume = {87},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Transport  accessibility  experienced  by  an  individual depends on their needs  and  abilities,  as represented  by their individual  characteristics,  such  as age,  income and  gender.  Although important  from  an  equity  perspective,  the  individual  component  of  accessibility  is  currently ignored  in  most transport equity studies.This  paper evaluates the impact  of  including individual   characteristics into logsum-based accessibility   measures   for transport   equity analysis. Using  data  from the London  Travel  Demand  Survey  (LTDS)  2011-13,  two  alternate  log sum measures  of  accessibility  are  specified –with  and  without  individual  characteristics.  An empirical  analysis  of  spatial,  social  and  economic  equity  is conducted using both  the measures,and  the  outcomes  are  compared.The  results clearly  demonstrate that ignoring individual characteristics in logsum measures of accessibility can lead to unreliable outcomes for social  and  economic  equity  analysis,but  do  not  add  significant  value  when  aggregated across  large  geographical  zones for  spatial  equity  analysis.Overall,  ignoring  individual characteristics masks the  disparity  in distribution  of accessibility, as  measured  by  the  Gini index. Although  not  straightforward,  the  difference  between accessibility  patterns using  the two logsum measures  also yields insights into  the possible  causes  of  inequity,  which can provide actionable  inputs to policy  makers.The  study highlights that personal  needs  and abilities are often responsible for accessibility variations among individuals and ignoring them can result in a misleading picture of equity,as demonstrated quantitatively in this paper.
AU  - Dixit,M
AU  - Sivakumar,A
DO  - 10.1016/j.trd.2020.102473
EP  - 17
PY  - 2020///
SN  - 1361-9209
SP  - 1
TI  - Capturing the impact of individual characteristics on transport accessibility and equity analysis
T2  - Transportation Research Part D: Transport and Environment
UR  - http://dx.doi.org/10.1016/j.trd.2020.102473
UR  - https://www.sciencedirect.com/science/article/pii/S136192092030660X?via%3Dihub
UR  - http://hdl.handle.net/10044/1/81882
VL  - 87
ER  -
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