Data on Smartphone App Usage and Impacts - New Delhi

Published: 12 December 2022| Version 1 | DOI: 10.17632/wgv29d7n7d.1
Contributor:
Kushagra Sinha

Description

The data is part of the study that explores the following research questions - (1) What are the factors that significantly influence different transport choices of individuals due to their smartphone app usage? (2) What variations exist across the transport choices of different user groups? (3) How does smartphone app usage impact the travel behavior of various user groups? The primary data used in this study were collected through an online survey of smartphone users. The survey was conducted between September 2021 and December 2021, and a sample of 530 people was collected. Along with socio-economic information, the following were collected - Transport Usage - Respondents were asked about their propensity to use transport modes (private two & four wheelers, public transport, intermediate public transport, and app-based shared mobility services) on a Likert scale, with the responses of “Never”, “Rarely”, “Sometimes”, “Often” and “Always”. Smartphone App Usage - Responses were collected concerning their frequency of use of smartphone apps for activities associated with trip planning, such as deciding the departure time for a trip, deciding on destinations, selecting the transportation mode, performing essential tasks online instead of traveling to a designated location and, communicating and coordinating, and other travel-impacting purposes, such as navigation, checking the schedule of public transport, online shopping, etc. Information was collected on a Likert scale, with the responses of “Never”, “Rarely”, “Sometimes”, “Often” and “Always”. Attitude - The dataset included respondents’ degrees of agreement with twelve statements (included in the dataset) about their attitudes and preferences on a Likert-type scale, with the responses of “Strongly Disagree”, “Slightly Disagree”, “Neutral”, “Slightly Agree” and “Strongly Agree”. Travel Behavior - Questions included the influence of smartphone usage on Vehicle Kilometers Travelled (for work/education, shopping, and recreational trips), number of new places visited, group trips planned, and social gatherings attended. A 5-point Likert Scale was used to collect the data, with options such as Significantly Reduced, Slightly Reduced, No Impact, Slightly Increased, Significantly Increased. The Excel file includes a code sheet for interpreting the responses.

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Institutions

School of Planning and Architecture

Categories

Transport, City Planning

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