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December 10, 2025Infrastructures1 citationsOpen Access

Comparative Analysis of Stated Preference Data for Identifying Driving Behaviour Patterns of Last-Mile Delivery Professionals

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DPDimosthenis PavlouPPPanagiotis PapantoniouVAVasiliki Amprasi

Key Points

  • The study aims to analyze the driving behavior patterns and decision-making of last-mile delivery professionals in various regions.
  • Conducted a stated-preference questionnaire with 333 riders across Croatia, Cyprus, Greece, Italy, and Slovenia.
  • Utilized a random parameter logit (RPL) model to assess decision influences in hypothetical scenarios.
  • Driving behavior, trip duration, and salary type significantly influenced participants' preferences.
  • Riders favored flat salaries for income stability over performance-based pay.
  • Regional differences were observed in vehicle use and safety perceptions.

Abstract

The role of last-mile delivery professionals is becoming increasingly vital in modern urban logistics, driven by the rapid expansion of e-commerce and rising consumer expectations for fast and reliable services. This study aimed to analyse the decision-making patterns of last-mile delivery professionals through stated preference data. To achieve this, a stated-preference questionnaire was conducted with 333 riders aged 18–65 from Croatia, Cyprus, Greece, Italy and Slovenia. A random parameter logit (RPL) model was applied to evaluate the influence of factors such as driving behaviour, delivery time and salary type on decision-making in hypothetical scenarios. Results showed that driving behaviour, trip duration and salary type significantly affected respondents’ preferences. Participants displayed a strong preference for flat salaries, indicating the importance of income stability over performance-based pay. Driving behaviour was also crucial, as respondents favoured legal and safe practices. Interestingly, while shorter delivery times were generally preferred, several scenarios revealed a tolerance for longer durations, possibly reflecting perceived benefits such as safer routes or reduced stress. Comparative analyses also revealed regional differences in vehicle use, work patterns and safety perceptions. The study highlights the need for tailored training programs on safety compliance, route optimization and time management, alongside hybrid salary structures balancing stability and productivity.

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Cite This Study

Pavlou et al. (2025) studied this question.

synapsesocial.com/papers/69401d412d562116f28f8379https://doi.org/10.3390/infrastructures10120342
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