DIGBIGSTUDIO

01 / 04 — Visualisation

2022 · Delhi

Planning for Persons with Disabilities

The evidence base of the thesis, drawn as figures — a national census, a city, a survey of 117 people and one audited sub-zone.

Source
School of Planning and Architecture, New Delhi
Category
Thesis / Census analysis / Primary survey
Year
2022
Place
Delhi
Role
Research, survey design, analysis and visualisation
Figures
24 charts

Context

Accessibility is written into standards and almost never into streets. The thesis took Delhi as its ground; these are the figures it was argued from. They run at four scales, and the point of the sequence is the narrowing: what the Census can tell you about a country, what it can tell you about a city, what only asking 117 people will tell you, and what is left that you can only find by walking a footpath with a measuring tape.

Role

Research, survey design, analysis and visualisation

Bachelor of Planning thesis at the School of Planning and Architecture, New Delhi, completed with First Class. The Census tabulations were re-cut by type, age, sex, district and residence; the primary survey of 117 respondents was designed, run and coded; the pathway audit scored stretches in Sub-zone F1 against a fixed set of factors.

Process

Census 2011 is the only source that covers everyone, and it is also the bluntest — it counts disability by type and leaves the street out entirely. So each scale is there to catch what the one above it misses. The survey asks about travel, work and schooling, which no tabulation records. The audit scores kerbs, widths and crossings, which no respondent should have to describe from memory.

Selected figures

The forms the study used, gathered at the front — a marimekko scaled to district size, two heatmaps, a parliament of one mark per respondent, a hierarchy of the sample, and a radar profile of one street. The study then runs in full below, at its four scales.

Disability type by district, scaled to district sizeFig. 01

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Persons with disabilities by district and type — urban DelhiFig. 02

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Disability type by age group — DelhiFig. 03

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The 117 respondentsFig. 04

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Composition of the 117-person sampleFig. 05

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Pathway accessibility audit — Sub-zone F1Fig. 06

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Accessibility profile — best, worst and mean stretchFig. 07

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The national picture — Census 2011

Six cuts of the same national tabulation. Type, age and sex first, then the urban and rural split, which is the one that matters for a planner and the one the headline figure hides.

Distribution of persons with disabilities by type — IndiaFig. 08

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Prevalence of disability by age and sex — IndiaFig. 09

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Persons with disabilities by sex and type — IndiaFig. 10

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Urban and rural share of persons with disabilities — IndiaFig. 11

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Proportion of disabled population by residence, 2001 and 2011Fig. 12

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Disability type by residence — IndiaFig. 13

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Delhi — Census 2011

The same source cut to one city and then to its districts, so the question stops being how many and becomes where. The district marimekko and the age heatmap are among the opening figures.

Persons with disabilities by type — DelhiFig. 14

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Persons with disabilities by age group and sex — DelhiFig. 15

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District share of Delhi’s disabled populationFig. 16

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Disability prevalence rate by district — DelhiFig. 17

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The primary survey — 117 respondents

What the Census does not ask. The same 117 people cut by education, by work, and by how they actually move through the city. The sample itself is drawn at the front, one mark to a person.

Respondents by age group and impairment typeFig. 18

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Education attainment by impairment typeFig. 19

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Occupational structure by impairment typeFig. 20

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Travel independence by impairment typeFig. 21

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Modal split by impairment typeFig. 22

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The pathway audit — Sub-zone F1

One sub-zone, walked and scored stretch by stretch. This is the scale at which accessibility either exists or does not. The scored grid and the profile of the best and worst stretch both open the study.

Mean accessibility score by factorFig. 23

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Pathway stretches ranked by accessibility scoreFig. 24

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