Smartphone-based mobility apps enable users to make informed transportation decisions, offering instant access to transport-related information. This development has created a smartphone-enabled ecosystem of mobility services in developed countries while it is slowly picking up pace in the global south, which can contribute towards the decarbonization of urban transport. Work on this has already started in India, and there is considerable evidence indicating the profound impact of these apps on the perceived utility and usage of transport modes, with far-reaching implications for sustainable development goals (SDGs). However, for most users, the use of smartphone apps is a novel trend, and the knowledge of the impacts of usage of existing apps on the usage pattern of transport modes by various user groups is essential for positioning new consolidated app-based services soon. Against this backdrop, the present study uses latent class cluster analysis to empirically investigate the impacts of mobility apps on transport mode usage patterns in Delhi by classifying users into latent classes based on socioeconomic characteristics, attitudes/preferences, smartphone app usage, and mode usage pattern. The characteristics of the latent class and factors affecting the individual’s probability of being classified to these cluster have been discussed, along with some measures to encourage app-based mobility for each cluster.

With considerable growth in the Information & Communication Technologies, several smartphone-based mobility platforms have already sprung up and they have the potential of transforming the mobility ecosystem completely. However, mobility-based smartphone app usage pattern across various user groups in Indian cities is unknown, and this knowledge is vital for introducing new consolidated apps-based services. Therefore, using primary data from a survey carried out in Bhopal (India), this article analyses the usage pattern of smartphone apps for trip planning activities and travel outcomes across various user groups at the personal and household level. The research offers empirical indication of relationships between smartphone app usage for trip planning (like departure time, choosing a destination, choosing the mode, se-lecting route, communicating, and coordinating trips, and performing tasks online instead of visiting) and resulting travel outcomes including vehicle kilometers travelled (for purposes like work/education, shopping, and recreation), social gathering, new place visits and group trips. The chi-square test has been used to test and interpret several socioeconomic variables that could in-fluence this relationship, such as gender, age, income, etc. This study's findings provide important behavioral insights that may be useful in policy discussions.

The genus Eucalyptus is a globally captivated source of hardwood and is well known for its medicinal uses. The hybrid and wild species of Eucalyptus are widely used as exotic plantations due to their renowned potential of adapting to various systems and sites, furthermore, making the species the most extensively propagated. Despite unquestionable progression in biotechnological and tissue culture approaches, the productivity of plantations is still limited often due to the low efficiency of clonal propagation from cuttings. The obtained F1 hybrids yield high biomass and High-quality low-cost raw material for large-scale production, however, the development of hybrid, clonal multiplication, proliferation, and post-developmental studies are still major concerns. This riveting review describes the problems concerned with in-vitro and clonal propagation of Eucalypt plantation; recent advances in biotechnological and tissue culture practices for massive and rapid micro-propagation of Eucalyptus; as well, highlights the Eucalypt germplasm preservation techniques.