64
N. Akhtar and P. N. Kuriakose
Fig. 3.1 Fleet operated by
BMTC (FY 2012–19).
Source BMTC
Fig. 3.2 Effective km
traveled per day by BMTC
buses (FY 2012–2019).
Source BMTC
Sridhar et al. [34] drew a comparison among eight executing authorities in the
transport sector of India on the basis of 20 indicators. BMTC was found to be one of
the authorities performing better than the others. However, the corporation has faced
a decline in the number of vehicles held, fleet operated, and effective km traveled
per day since the FY 2013–14, as per the data collected from BMTC (see Figs. 3.1
and 3.2).
Though not the only one but a major reason for the decline in BMTC services
could be the inception of ABSM services in the area. Apparently, the year from
which BMTC saw a decline in the fleet operated and the effective km traveled by its
buses, is the year when Uber taxi services were first launched in India in Bengaluru.
Moreover, there was a spike observed in the registration of the Hiring motorized
two-wheeler and Hiring four-wheeler vehicles after FY 2013–14 (See Fig. 3.3).
Hence, this chapter will aim to study the impacts of app-based shared mobility
on various aspects of urban travel trends and travel behavior in context of the city
Bengaluru, India. The objectives of the study will be as follows:
Objective 1: To find the additional monetary and environmental cost incurred due
to congestion through TNC data (Uber).
Objective 2: To study the recent trends of app-based shared mobility and factors
which influence their use, along with its impact on car ownership behavior.
Objective 3: To assess the relationship between public transport accessibility and
usage of app-based shared mobility.
N. Akhtar and P. N. Kuriakose
Fig. 3.1 Fleet operated by
BMTC (FY 2012–19).
Source BMTC
Fig. 3.2 Effective km
traveled per day by BMTC
buses (FY 2012–2019).
Source BMTC
Sridhar et al. [34] drew a comparison among eight executing authorities in the
transport sector of India on the basis of 20 indicators. BMTC was found to be one of
the authorities performing better than the others. However, the corporation has faced
a decline in the number of vehicles held, fleet operated, and effective km traveled
per day since the FY 2013–14, as per the data collected from BMTC (see Figs. 3.1
and 3.2).
Though not the only one but a major reason for the decline in BMTC services
could be the inception of ABSM services in the area. Apparently, the year from
which BMTC saw a decline in the fleet operated and the effective km traveled by its
buses, is the year when Uber taxi services were first launched in India in Bengaluru.
Moreover, there was a spike observed in the registration of the Hiring motorized
two-wheeler and Hiring four-wheeler vehicles after FY 2013–14 (See Fig. 3.3).
Hence, this chapter will aim to study the impacts of app-based shared mobility
on various aspects of urban travel trends and travel behavior in context of the city
Bengaluru, India. The objectives of the study will be as follows:
Objective 1: To find the additional monetary and environmental cost incurred due
to congestion through TNC data (Uber).
Objective 2: To study the recent trends of app-based shared mobility and factors
which influence their use, along with its impact on car ownership behavior.
Objective 3: To assess the relationship between public transport accessibility and
usage of app-based shared mobility.