3 Disruptive Mobility in Pre- and Post-COVID Times …
59
for use of the object, the consumer is willing to pay a premium. This way, consumers
can access networks and objects without going through the hassles of ownership and
the maintenance it might demand.
Similarly, the transport sector underwent a humongous change with the coming
of Transport Network Companies (TNCs) in the last decade. The concept of shared
resources was applied by these companies, and hence, now a ride in a variety of
cars is just a click away from the desiring customers. The car may not belong to the
person riding it and the same ride may be shared by many people having the same
or close by destinations. Some companies even offer rental services with daily or
hourly charges. These TNCs (like Uber, Ola, Yulu, Zoomcar, etc.) have made a major
impact on a lot of aspects like travel behavior, mode choice, and even the attitude
toward car ownership, as suggested by various studies quoted in later sections of this
chapter.
The Indian TNC market is dominated by two companies: Uber Technologies
Inc. and ANI Technologies Pvt. Ltd. [43] which are American and Indian originated TNCs, respectively. Customers access their services via apps on their mobile
phones, hence they are termed as App-Based Shared Mobility (ABSM). They have
a wide variety of mode options to choose from, i.e., from bikes, autos, cars to even
limousines. The prices vary according to the mode and timing of the ride. The
customers also have varied payment options like cash, coupons, Google Pay, or
even through credit cards. As a result of the ease of travel offered by these TNCs,
their customers increased, and moreover, a gradual shift was also observed in the
mode choice impacting the car ownership and public transit ridership. This study is
an attempt to observe the same aspects in India, taking the case study of Bengaluru.
In this chapter, an attempt is made to highlight the slow yet significant transportation paradigm shift occurring in major cities of India like Bengaluru. A comparison
between public transportation and ABSM is done and factors identified due to which
disruptive mobility is gaining popularity. TNCs generate large amount of city-level
data on a daily basis, which can be utilized for the betterment of our cities. Hence,
the data generated by Uber is utilized to find the annual cost of carbon emissions
occurring due to consumption of additional fuel because of congestion.
In this chapter, public transport and ABSM have been compared on two grounds:
spatially and considering waiting time, total travel time, and fare. It must be kept in
mind that public transport and ABSM translate to buses and Uber in the first case,
while in the second both buses and metro have been considered for public transport,
and Uber and Ola for ABSM. The Public Transport Accessibility Map was made
considering the bus stops and only phase-I of the Bengaluru metro. The 2019 trip
generation-attraction maps of Uber rides could not be made given the unavailability
of data on Uber movement website, as on January 2020.
59
for use of the object, the consumer is willing to pay a premium. This way, consumers
can access networks and objects without going through the hassles of ownership and
the maintenance it might demand.
Similarly, the transport sector underwent a humongous change with the coming
of Transport Network Companies (TNCs) in the last decade. The concept of shared
resources was applied by these companies, and hence, now a ride in a variety of
cars is just a click away from the desiring customers. The car may not belong to the
person riding it and the same ride may be shared by many people having the same
or close by destinations. Some companies even offer rental services with daily or
hourly charges. These TNCs (like Uber, Ola, Yulu, Zoomcar, etc.) have made a major
impact on a lot of aspects like travel behavior, mode choice, and even the attitude
toward car ownership, as suggested by various studies quoted in later sections of this
chapter.
The Indian TNC market is dominated by two companies: Uber Technologies
Inc. and ANI Technologies Pvt. Ltd. [43] which are American and Indian originated TNCs, respectively. Customers access their services via apps on their mobile
phones, hence they are termed as App-Based Shared Mobility (ABSM). They have
a wide variety of mode options to choose from, i.e., from bikes, autos, cars to even
limousines. The prices vary according to the mode and timing of the ride. The
customers also have varied payment options like cash, coupons, Google Pay, or
even through credit cards. As a result of the ease of travel offered by these TNCs,
their customers increased, and moreover, a gradual shift was also observed in the
mode choice impacting the car ownership and public transit ridership. This study is
an attempt to observe the same aspects in India, taking the case study of Bengaluru.
In this chapter, an attempt is made to highlight the slow yet significant transportation paradigm shift occurring in major cities of India like Bengaluru. A comparison
between public transportation and ABSM is done and factors identified due to which
disruptive mobility is gaining popularity. TNCs generate large amount of city-level
data on a daily basis, which can be utilized for the betterment of our cities. Hence,
the data generated by Uber is utilized to find the annual cost of carbon emissions
occurring due to consumption of additional fuel because of congestion.
In this chapter, public transport and ABSM have been compared on two grounds:
spatially and considering waiting time, total travel time, and fare. It must be kept in
mind that public transport and ABSM translate to buses and Uber in the first case,
while in the second both buses and metro have been considered for public transport,
and Uber and Ola for ABSM. The Public Transport Accessibility Map was made
considering the bus stops and only phase-I of the Bengaluru metro. The 2019 trip
generation-attraction maps of Uber rides could not be made given the unavailability
of data on Uber movement website, as on January 2020.