Urban population in India has increased significantly from 62 million in 1951 to 378 million in 2011 in six decades. It is estimated to reach 540 million by the year 2021. This reflects on likely pressure on urban transportation system. The situation necessarily calls plans for balanced personal and public transport system. Mandatory trips bear more importance in this regard owing to their higher share in urban trips. Mode share and their choice behaviour in estimation of such trips play vital role in analysing and boosting sustainable transportation. Logit modelling approach is the conventional method generally adopted for analysing mode choice behaviour, which is based on the principle of random utility maximization derived from econometric theory. However, such models cannot address uncertainity prevailing in the choice decisions. On the contrary, fuzzy logic bypasses the binary crisp derivations of the inputs and accepts multivalued inputs in linguistic expressions, which make possible to resemble the human behaviour closely. Therefore, the attempt here is to develop fuzzy logic based mode choice model for education trips, which constitutes a good share in mandatory trips by covering various income groups of Indian society.

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With increase in city size and population in developing country like India, the travel demand is increasing very fast which calls for an efficient and effective transit to fulfill the demand of travelling public. The transit accessibility is one of the most alarming factors of the increased urbanized areas of these cities. The case study presented the spatial transit accessibility index modeling with due consideration factors viz. walking distance and walking time of the study area. The spatial accessibility is measured on the basis of home interview data and as well on GIS base to develop "Accessibility Catchments" through buffering process for different accessibility scales of radius of 250m, 350m etc. The catchment areas marked provide the scope to identify "Accessibility Thirst Areas". The research work further addresses the development of proposed LOS for both distance and time units. The transit accessibility index modeling and proposed LOS of the present study shows the promising results and can apply to the same sized urban cities. These findings presented in the paper are case specific and can be apply as a base for finding the spatial accessibility status for metropolitan cities.

Rapid growth in petrol and diesel-powered vehicles has resulted in significant increases in tailpipe greenhouse gas emissions and air pollution, both of which harm public health in Indian cities. Furthermore, India’s dependence on imported fuel to transport people and goods threatens its fuel security. Therefore, electric mobility has been sought to deal with these issues. The governments have framed several plans and policies to promote electric vehicles (EVs) and achieve the target of EV30@30. However, EV adoption in Indian states has been slow. Therefore, this paper aims to estimate the number of EVs needed to be registered to achieve the desired target by 2030 by taking a case study of four states: Delhi, Uttar Pradesh, Karnataka, and Gujarat. The vehicular registration data used in this paper has been obtained from the government database. The study looks at the EV adoption rates of passenger vehicles such as two-wheelers, cars, auto-rickshaws (including e-rickshaws), and buses. According to the findings, the average annual share of passenger EVs is less than 2% in Delhi, less than 1% in Uttar Pradesh, and less than 0.5% in Karnataka and Gujarat during the study period. According to the models’ estimates, Delhi, Uttar Pradesh, Gujarat, and Karnataka will need to register 0.31 million, 1.51 million, 0.88 million, and 0.79 million passenger EVs, respectively, in FY 2030–2031 to achieve a 30% EV share of total registrations.

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