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Impact of MaaS on First-Last Mile Shared Micromobility and Carbon Reduction (KCI)

Published:  at  09:00 AM
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Publications: Kim, D., & Moon, H. (2025). The Impact of Mobility as a Service on the Demand for Shared Micromobility in the First-Last Mile and Carbon Reduction. Journal of the Korean Society of Innovation, 20(3).

Modal Shift Under MaaS Scenario

Figure 1. Modal Shift Under MaaS Scenario

๐Ÿ“Œ The Problem: The First-Last Mile Bottleneck and Emissions

To build sustainable smart cities, resolving the inefficiency of โ€œFirst-Last Mileโ€ (FLM) tripsโ€”the distance between transit stops and final destinationsโ€”is critical. While Mobility as a Service (MaaS) is anticipated to promote eco-friendly transport, empirical evidence detailing whether MaaS actually induces a modal shift towards shared micromobility (e-scooters, e-bikes) in FLM segments, and how much it consequently reduces carbon emissions, has been scarce.

โš™๏ธ The Method: Choice Modeling & Latent Clustering

This study deployed a data-driven approach to map consumer mode shift and quantify environmental benefits under a hypothetical MaaS ecosystem.

  1. Stated Preference (SP) Survey: Conducted targeted surveys among public transit users, presenting them with hypothetical MaaS introduction scenarios.
  2. Latent Consumer Clustering: Identified hidden consumer segments based on their mobility behaviors and willingness to adopt shared micromobility for FLM trips.
  3. Multinomial Logit (MNL) Model: Analyzed the specific characteristics of these clusters to predict exact mode choice probabilities.

๐Ÿš€ The Impact: Quantifying Sustainable Mobility

The analysis revealed distinct behavioral thresholds and substantial environmental economic benefits:

This research provides policymakers and platform operators with robust empirical evidence that integrating shared micromobility into MaaS is a highly effective, quantifiable strategy for enhancing urban transport sustainability.


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