A Multi-Dimensional Survey Dataset on Youth Perception and Behavioral Intentions Toward Electric Rickshaws in Dhaka City

Description

This dataset captures youth perceptions of electric vehicles specifically battery-powered rickshaws in Dhaka, Bangladesh. The survey instrument is grounded in the Theory of Planned Behavior (TPB) and extended with contextual factors such as environmental concern, safety perception, and willingness to pay. Data were collected through a structured questionnaire consisting of 39 items, combining demographic variables, Likert-scale statements, and open-ended responses . The dataset includes both categorical and numerical variables. Demographic attributes cover age, gender, education level, occupation, and usage frequency of battery rickshaws. Behavioral and perception-based constructs are measured using 5-point Likert scales (1 = Strongly Disagree to 5 = Strongly Agree). These constructs are grouped into the following domains: @Attitude (Q9–Q16): Perceived convenience, affordability, environmental impact, safety, and employment benefits. @Subjective Norms (Q17–Q19): Influence of peers, family, and community approval. @Perceived Behavioral Control (Q20–Q23): Accessibility, affordability, comfort, and availability of alternatives. @Behavioral Intention (Q24–Q26): Future usage intentions and regulatory support. @Extended Factors (Q27–Q34): Environmental concern, safety awareness, moral norms, and perceived accident risks. @Willingness to Pay (Q35–Q37): Acceptance of higher fares for safety, recycling, and licensing improvements. @Open-ended responses (Q38–Q39): Qualitative insights on user preferences and improvement needs. #Summary Statistics: The dataset comprises responses at the individual level, where each row represents a participant and each column corresponds to a variable or survey item. Likert-scale variables can be summarized using mean, standard deviation, and distribution frequencies. Demographic variables are summarized using counts and percentages. Continuous variables (e.g., number of rides in the past 7 days) allow calculation of central tendency (mean, median) and dispersion (standard deviation). #Preliminary descriptive analysis typically includes: 1. Frequency distribution of demographic variables (e.g., gender ratio, education levels). 2. Mean scores for each TPB construct to assess general perception trends. 3. Reliability assessment (e.g., Cronbach’s alpha) for multi-item constructs. 4. Cross-tabulation of usage frequency with perception variables to identify behavioral patterns. The dataset is suitable for statistical modeling (e.g., regression, structural equation modeling), behavioral analysis, and urban mobility research. It provides valuable insights into user attitudes, adoption drivers, and policy implications for sustainable transportation in developing urban contexts.

Institutions

• Bangladesh University of Business and Technology

  Dhaka Division, Dhaka

Categories

Licence