December 4, 2025SystemsOpen Access

Data-Driven Modeling of Demand-Responsive Transit: Evaluating Sustainability Across Urban, Rural, and Intercity Scenarios

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ZXZhao Xu

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Overview

Analysis demonstrates sustainability in public transport, evaluating scenarios with stated preferences and clustering analysis for diverse environments.

Key Points

Sustainability was enhanced in public transport through a scenario-based evaluation framework, focusing on diverse environments.
Key evidence includes insights into stated preference analysis and clustering results that link technical models to real-world outcomes.
The approach utilized clustering analysis to assess operational conditions across demand-responsive transit systems in urban, rural, and intercity settings.
This framework highlights policy relevance and integrates economic, environmental, and social dimensions, offering practical insights for transport planning.

Cite This Study

Zhao Xu (2025) studied this question.

synapsesocial.com/papers/6930dc9eea1aef094cca2c09 https://doi.org/10.3390/systems13121080

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December 4, 2025SystemsOpen Access

Data-Driven Modeling of Demand-Responsive Transit: Evaluating Sustainability Across Urban, Rural, and Intercity Scenarios

View Full Paper

Ask AI

Bookmark

Authors

ZXZhao Xu

Discussion

Member takes

Overview

Analysis demonstrates sustainability in public transport, evaluating scenarios with stated preferences and clustering analysis for diverse environments.

Key Points

Sustainability was enhanced in public transport through a scenario-based evaluation framework, focusing on diverse environments.
Key evidence includes insights into stated preference analysis and clustering results that link technical models to real-world outcomes.
The approach utilized clustering analysis to assess operational conditions across demand-responsive transit systems in urban, rural, and intercity settings.
This framework highlights policy relevance and integrates economic, environmental, and social dimensions, offering practical insights for transport planning.

Cite This Study

Zhao Xu (2025) studied this question.

synapsesocial.com/papers/6930dc9eea1aef094cca2c09 https://doi.org/10.3390/systems13121080

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