Scales of Liveability KPIs

Methodology

Assessing a city's liveability levels is crucial for identifying areas that require improvement and facilitating the implementation of mobility innovations. Our approach involves the use of a comprehensive survey that captures multiple aspects of quality of life, mobility connectivity, and sustainability.
Our survey consists of 22 questions that are designed to measure the city's liveability levels across a range of factors, including transportation, safety, housing, and access to public services. To ensure that the survey responses are consistent and can be analyzed easily, we have based the answer scale of each question on numerical ranges. We calculated these ranges based on the data collected at the beginning of the project, and then divided the data distribution of each question into five bins and selected the ranges for each answer.

  • Lower than the 5TH quantile,
  • Between the 5TH and the 35TH quantiles,
  • Between the 35TH and the 65TH quantiles,
  • Between the 65TH and the 95TH quantiles,
  • Greater than the 95TH quantile

This approach ensures that the responses are standardized and can be analyzed effectively.

Example:

Taking as an example the KPI named “Average commuting time to work”, it quantifies the average time a citizen needs to move to their workplace.


The observed commuting time from 10 cities was used; the median value was calculated at about 25 mins, the 5TH percentile is about 12 mins and the 95TH percentile is about 41 mins. Thus, assuming a city claims that its average commuting time to work is 10 minutes, the third question will be assigned with a value/score of 1 based on the aforementioned quantiles. The following figure represents the histogram of this variable, blue bars are the observations and grey areas are the outliers.


Following see the table with the data range of each question.


Questions
SUMI
5TH
35TH
65TH
95TH
Unit
   
Q1   		    
07   		    
685   		    
901   		    
2261   		    
7264   		    
Kg CO²/inhs   
   
Q2   		    
03   		    
16.15   		    
24.62   		    
27.54   		    
45.68   		    
µg/m³   
   
Q3   		    
16   		    
12.25   		    
23.23   		    
24.93   		    
40.60   		    
mins   
   
Q4   		    
17   		    
19.41   		    
44.30   		    
68.41   		    
90.08   		    
m²/capita   
   
Q5   		    
44%   		    
68%   		    
100%   		    
100%   		    
%   
   
Q6   		    
01   		    
2%   		    
3%   		    
4%   		    
40%   		    
%   
   
Q7   		    
5%   		    
9%   		    
16%   		    
49%   		    
%   
   
Q8   		    
5%   		    
8%   		    
13%   		    
61%   		    
%   
   
Q9   		    
11   		    
0.26   		    
1.14   		    
2.30   		    
8.29   		    
vehs/1000 inhs   
   
Q10   		    
11   		    
0.32   		    
0.43   		    
0.60   		    
0.79   		    
vehs/1000 inhs   
   
Q11   		    
0.00   		    
8.58   		    
17.60   		    
22.38   		    
tr/1000 inhs   
   
Q12   		    
1.35   		    
2.63   		    
2.94   		    
20.70   		    
-   
   
Q13   		    
06   		    
6.53   		    
12.29   		    
13.64   		    
33.82   		    
-   
   
Q14   		    
10   		    
3%   		    
10%   		    
16%   		    
46%   		    
%   
   
Q15   		    
02   		    
0.60%   		    
1.10%   		    
9%   		    
25%   		    
%   
   
Q16   		    
12%   		    
37%   		    
61%   		    
88%   		    
%   
   
Q17   		    
0.08   		    
0.19   		    
0.30   		    
4.25   		    
-   
   
Q18   		    
08   		    
0.11   		    
0.41   		    
0.80   		    
1.45   		    
vehs/1000 inhs   
   
Q19   		    
08   		    
0.01   		    
0.04   		    
0.22   		    
0.35   		    
vehs/1000 inhs   
   
Q20   		    
30%   		    
50%   		    
75%   		    
95%   		    
%   
   
Q21   		    
12   		    
2%   		    
17%   		    
27%   		    
50%   		    
%   
   
Q22   		    
2%   		    
8%   		    
15%   		    
49%   		    
%