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Title page 1

Contents 1

Executive summary 1

1. Technical gaps in robust route planning 4

2. The two core products 5

3. E-bus route and service planning methodology 5

4. Mobility Assessment and Route Guidance (MARG) tool 9

5. Recommendations 17

References 19

Tables 4

Table 1. Half the sanctioned cities, where planning capacity is thinnest, have a population less than 5 lakh 4

Table 2. Detailed sample size ratios for primary surveys across cities of different population sizes 7

Table 3. Key parameters and learnings emerging from e-bus route and service planning in case cities 8

Table 4. Each city and each dataset has one job; nothing is used for two purposes at once 9

Table 5. The five cities span the different sizes, economic characters and emerging markets for public transport 10

Table 6. The corridor model effectively separates real bus corridors from other roads on the validation-city of another state, with a different street... 15

Figures 6

Figure 1. Bus service operational planning: Linking mobility baseline, primary surveys and mode-shift modelling to a city-level operational plan 6

Figure 2. The five-stage MARG methodology 10

Figure 3. Spatial indicator families assessed in the MARG modelling framework 11

Figure 4. Convergence of evidence for corridor identification 12

Figure 5. Components of MARG: Digital twin, mobility, and spatial data assessment, and scenario simulation engine 16

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