Evaluating Electric Micro-Mobility Related Mode Choice Stated Preferences: A Latent Class Choice Approach
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arXiv
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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866908295974879232 |
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| author | Wu, Yikang Yildirimoglu, Mehmet Zheng, Zuduo |
| author_facet | Wu, Yikang Yildirimoglu, Mehmet Zheng, Zuduo |
| contents | This paper examines mode choice behaviour regarding Electric Micro-Mobility (EMM) among car and public transport users using a Latent Class Choice Modelling (LCCM) approach. Utilizing stated preference survey data from 1,671 Brisbane residents, the study identifies distinct user segments with heterogeneous sensitivities to EMM attributes. Results reveal significant potential for EMM adoption, notably among segments inclined toward multimodal trips or personal micromobility, driven primarily by weather conditions, travel time, and cost. Conversely, resistant segments characterized by demographic factors such as age, gender, income, and lack of EMM experience highlight challenges in shifting mode choices. Further analyses, including class profiles, elasticities, and geographical distribution, are conducted to generate comprehensive insights that inform policy decisions. These insights support targeted investments in micromobility infrastructure and integrated pricing strategies, thereby enhancing EMM adoption and promoting sustainable urban mobility. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_01237 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Evaluating Electric Micro-Mobility Related Mode Choice Stated Preferences: A Latent Class Choice Approach Wu, Yikang Yildirimoglu, Mehmet Zheng, Zuduo Physics and Society This paper examines mode choice behaviour regarding Electric Micro-Mobility (EMM) among car and public transport users using a Latent Class Choice Modelling (LCCM) approach. Utilizing stated preference survey data from 1,671 Brisbane residents, the study identifies distinct user segments with heterogeneous sensitivities to EMM attributes. Results reveal significant potential for EMM adoption, notably among segments inclined toward multimodal trips or personal micromobility, driven primarily by weather conditions, travel time, and cost. Conversely, resistant segments characterized by demographic factors such as age, gender, income, and lack of EMM experience highlight challenges in shifting mode choices. Further analyses, including class profiles, elasticities, and geographical distribution, are conducted to generate comprehensive insights that inform policy decisions. These insights support targeted investments in micromobility infrastructure and integrated pricing strategies, thereby enhancing EMM adoption and promoting sustainable urban mobility. |
| title | Evaluating Electric Micro-Mobility Related Mode Choice Stated Preferences: A Latent Class Choice Approach |
| topic | Physics and Society |
| url | https://arxiv.org/abs/2504.01237 |