3 Disruptive Mobility in Pre- and Post-COVID Times …
65
Fig. 3.3 Trend of hiring vehicle registrations in BBMP (2010–19). Source RTO Bengaluru
3.3 Methodology
3.3.1 Data Collection
The data used for the analysis was acquired from the offices of BMTC, BMRCL,
and the Transport Commissioner of Bengaluru. Further, the TNC data was collected
from the open-source platform of Uber [39]. Uber, one of the largest ridesharing
operators has made some of its data available on its website ‘Uber Movement’,
which is free for researchers to use. The traffic data hence available has been used
for various kinds of research [15]. As per the company, the data may be utilized
by urban planners and city officials to address the problems of the city to make
decisions based on proper information and actual ground conditions. Uber plans to
make the city transportation picture clear so that a proper dataset can explain the
why, when, and where of the changes happening across the city. The data is released
in an organized manner around traffic analysis zones of cities, which are agreed upon
geographic demarcations which makes it easier to work with for the planners. The
users are free to control the parameters like time of the day, day of the week and
zones and download the specific data as per their use [32]. The hourly aggregate of
weekdays for the years 2016 to 2018 was utilized for further analysis. Data for 2019
was available only until February, and hence it was not considered.
A pan-city Revealed Preference Survey was conducted in BBMP. To calculate the
sample size, sampling technique adopted by the Bureau of Transportation Statistics,
UK was referred [9]. For a population of 12.3 million taking a confidence level of
95% and a confidence interval of 7, the sample size came out to be 223. A total of
23 questions were asked from the residents of Bengaluru regarding their daily travel
65
Fig. 3.3 Trend of hiring vehicle registrations in BBMP (2010–19). Source RTO Bengaluru
3.3 Methodology
3.3.1 Data Collection
The data used for the analysis was acquired from the offices of BMTC, BMRCL,
and the Transport Commissioner of Bengaluru. Further, the TNC data was collected
from the open-source platform of Uber [39]. Uber, one of the largest ridesharing
operators has made some of its data available on its website ‘Uber Movement’,
which is free for researchers to use. The traffic data hence available has been used
for various kinds of research [15]. As per the company, the data may be utilized
by urban planners and city officials to address the problems of the city to make
decisions based on proper information and actual ground conditions. Uber plans to
make the city transportation picture clear so that a proper dataset can explain the
why, when, and where of the changes happening across the city. The data is released
in an organized manner around traffic analysis zones of cities, which are agreed upon
geographic demarcations which makes it easier to work with for the planners. The
users are free to control the parameters like time of the day, day of the week and
zones and download the specific data as per their use [32]. The hourly aggregate of
weekdays for the years 2016 to 2018 was utilized for further analysis. Data for 2019
was available only until February, and hence it was not considered.
A pan-city Revealed Preference Survey was conducted in BBMP. To calculate the
sample size, sampling technique adopted by the Bureau of Transportation Statistics,
UK was referred [9]. For a population of 12.3 million taking a confidence level of
95% and a confidence interval of 7, the sample size came out to be 223. A total of
23 questions were asked from the residents of Bengaluru regarding their daily travel