Strategic trip planning for commuting considering user preferences of employees in organizations

Abstract

Organizations implement mobility plans to promote sustainable mobility among their employees. However, there is a lack of a comprehensive, quantitative tool that organizations can use to analyze their employees' commuting patterns. This paper introduces a strategic trip planning application which can support long-term decision-making and better-targeted interventions. In contrast to classical trip planning applications, the introduced application does not focus on a particular trip. Instead, it simultaneously plans general trips for multiple transport modes (i.e., walking, cycling, public transport, and driving). The application ranks these modes through a utility function by quantifying travel time, costs, environmental impacts, and health benefits. Moreover, the data can be aggregated to include the employees (e.g., the monthly expenses of commuting) and organizations (e.g., the total cost of commuting). This study applies the strategic trip planner to evaluate the employees' commuting patterns and preferences in two organizations. The paper explores and compares hypothetical mode choice scenarios to assess the impact of alternative policies on the evaluated metrics. The results indicate a notable divergence between the mode employees use (public transport) and the mode that would suit them most based on their preferences (cycling). This suggests that both organizations should put an emphasis on promoting cycling when executing their mobility strategies.

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