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Research Article

Application of fuzzy analytical hierarchy process to develop walkability index: a case study of Dwarka sub city, New Delhi, India

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Article: 2278875 | Received 14 Sep 2023, Accepted 31 Oct 2023, Published online: 09 Nov 2023

Figures & data

Table 1. Methods of walkability index and its purposes.

Table 2. Main parameters and sub parameters of walkability assessing levels.

Figure 1. Membership function of triangular fuzzy Number.

Figure 1. Membership function of triangular fuzzy Number.

Figure 2. Degree of possibility.

Figure 2. Degree of possibility.

Table 3. Sample description.

Table 4. Location wise pedestrian counts in peak hour.

Table 5. Walkability index using MoUD method (supply side).

Table 6. Criteria weightage using fuzzy AHP using extent analysis.

Figure 3. Relationship between WI based MoUD method and pedestrian count.

Figure 3. Relationship between WI based MoUD method and pedestrian count.

Figure 4. Relationship between proposed WI and pedestrian count.

Figure 4. Relationship between proposed WI and pedestrian count.