Ride Sharing Survey

This article is about the Survey Research that helps rBus, a Bus Ride Sharing company, help solves its decision problem and research objectives.

rBus

• Oh God It’s Monday Morning !! The thought of a 15 km ride in a chaotic traffic, whether you are self-driving or opting for a public transport brings frustration and blues to an office commuter!! It’s not uncommon to think that you are stuck in traffic without realizing that you are the traffic.
• Ola’s and Uber’s attempt solve this problem to some extent, however at much higher price with limited availability and flexibility.
• Just as in the world of enterprise computing, where server consolidation is helping in saving data center space, energy, costs while increasing utilization of the individual servers, rBus is attempting to consolidate traffic bringing numerous benefits to the commuters !!
• In the context of a chaotic public transport, ineffective use of private buses, rBus is providing commuters a choice to pick route, timing of the travel, well-maintained, air conditioned bus with added perk of reserving a particular seat !

DP & RO’s

Decision Problem:

• Can Bus ridesharing overcome the current urban commuting challenges with sustainable demand?

Research Objectives:

• Evaluate the market potential and size for bus ridesharing.

• Explore differentiated services such as ride sharing networks, Wi-Fi services, mobile charging points appeal to the target customer segment

• Whether should we limit our focus to commute travel or non-commute travel?

• Willingness of customers towards bus ridesharing when compared with car ridesharing

Survey Research:

• Based on the Decision problem and Research objectives defined, Bus Ride Sharing survey was created with objective of uncovering commuter’s interest in following areas:

  1. Work Commute
  2. Non-work commute
  3. Ride-sharing willingness
  4. Price sensitivity and Brand awareness
  5. Demographics

Survey to Constructs Mapping:

Below table depicts the mapping of questions to survey constructs:

Survey Construct	Question Numbers
Work-Commute	1,2,3
Non-work Commute	4,5,6
Ride-sharing willingness	7,(8),9,10, 12, 13
Price Sensitivity and Brand Awareness	(11), 14
Demographics	15, 16, 17, 18, 19

Qualtrics Survey:

Below is the link to the web-survey:

https://isb.asia.qualtrics.com/SE/?SID=SV_cURikvzLl1CRG1D

We used the below features in Qualtrics:

• Skip Logic
• Display Logic
• Likerts Scale
• Slidder Scale

Sample Srceenshot:

Lessons Learnt:

• Survey consists of 19 questions with an average of ~ 4 questions per construct
• As a group we were able to come up with more than 40 questions. But major challenge was to narrow down to most relevant questions that address the Decision problem and the research objectives.
• Non-work commute and price sensitivity questions were difficult to come up with and especially the choices for these questions.
• Qualtrics was quite intuitive to use.

Synergy Team Members:

* Siva Gangadhar G [71610080]
* Sudhha Shree [71610079]
* Sravya Chunduri [71610110]
* Srikanth Vidapanakal [71610084]