Mode Choice Heterogeneity Among Zero-Vehicle Households: A Latent Class Cluster Approach
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arXiv
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| Main Authors: | , , , , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866909946722910208 |
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| author | Kasamala, Nancy Mukwaya, Arthur Gyimah, Nana Kankam Mwakalonge, Judith Comert, Gurcan Siuhi, Saidi Jegede, Akinbobola |
| author_facet | Kasamala, Nancy Mukwaya, Arthur Gyimah, Nana Kankam Mwakalonge, Judith Comert, Gurcan Siuhi, Saidi Jegede, Akinbobola |
| contents | In transportation planning, Zero-Vehicle Households (ZVHs) are often treated as a uniform group with limited mobility options and assumed to rely heavily on walking or public transit. However, such assumptions overlook the diverse travel strategies ZVHs employ in response to varying trip needs and sociodemographic factors. This study addresses this gap by applying a weighted Latent Class Cluster Analysis (LCCA) to data from the 2022 National Household Travel Survey (NHTS) to uncover distinct mobility patterns within the ZVH population. Using travel mode and trip purpose as indicators and demographic, economic, and built environment variables as covariates, we identified three latent classes :Shared mobility errand workers (36.3%), who primarily use transit and ridehailing for commuting and essential activities; car based shoppers (29.9%), who depend on informal vehicle access for longer discretionary trips and active travel Shoppers (33.8%), who rely on walking or cycling for short, local shopping oriented travel. These behavioral findings enable policymakers to develop differentiated planning solutions to the specific needs of each segment among the ZVHs population across varied geographic and demographic settings. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_06127 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Mode Choice Heterogeneity Among Zero-Vehicle Households: A Latent Class Cluster Approach Kasamala, Nancy Mukwaya, Arthur Gyimah, Nana Kankam Mwakalonge, Judith Comert, Gurcan Siuhi, Saidi Jegede, Akinbobola Applications In transportation planning, Zero-Vehicle Households (ZVHs) are often treated as a uniform group with limited mobility options and assumed to rely heavily on walking or public transit. However, such assumptions overlook the diverse travel strategies ZVHs employ in response to varying trip needs and sociodemographic factors. This study addresses this gap by applying a weighted Latent Class Cluster Analysis (LCCA) to data from the 2022 National Household Travel Survey (NHTS) to uncover distinct mobility patterns within the ZVH population. Using travel mode and trip purpose as indicators and demographic, economic, and built environment variables as covariates, we identified three latent classes :Shared mobility errand workers (36.3%), who primarily use transit and ridehailing for commuting and essential activities; car based shoppers (29.9%), who depend on informal vehicle access for longer discretionary trips and active travel Shoppers (33.8%), who rely on walking or cycling for short, local shopping oriented travel. These behavioral findings enable policymakers to develop differentiated planning solutions to the specific needs of each segment among the ZVHs population across varied geographic and demographic settings. |
| title | Mode Choice Heterogeneity Among Zero-Vehicle Households: A Latent Class Cluster Approach |
| topic | Applications |
| url | https://arxiv.org/abs/2512.06127 |