The Activity-based model ABIT: Modeling 24 hours, 7 days a week Article Swipe
Rolf Moeckel
,
Wei-Chieh Huang
,
Joanna Ji
,
Carlos Llorca
,
Ana Tsui Moreno
,
Corin Staves
,
Qin Zhang
,
Gregory D. Erhardt
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.trpro.2024.02.062
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.trpro.2024.02.062
The paper introduces the activity-based model ABIT as a novel approach to modeling travel demand. Traditional aggregate transport models are limited in their ability to assess certain transport policies, such as ride-pooling services and autonomous cars, due to their inability to accurately represent complex travel behaviors. ABIT generates weekly activity patterns for individuals, forming the basis for understanding habitual and incremental travel behavior. Unlike traditional models, ABIT can distinguish between day-to-day variations in travel behavior and more significant year-to-year changes. The model's base-year structure is described in detail, including steps for assigning habitual modes, mandatory activities, discretionary activities, subtours, duration, start times, destination choices, and vehicle allocation. The paper emphasizes the importance of habitual mode choice, especially in modeling commute modes. The results of ABIT show variations in activity frequency across different days of the week, with weekdays dominated by work and education activities, while weekends exhibit a higher proportion of discretionary activities. The paper acknowledges longer runtimes and random variations as potential limitations, suggesting caution in analyzing results at a fine- grained level.
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https://openalex.org/W4392103164Canonical identifier for this work in OpenAlex
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https://doi.org/10.1016/j.trpro.2024.02.062Digital Object Identifier
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The Activity-based model ABIT: Modeling 24 hours, 7 days a weekWork title
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articleOpenAlex work type
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enPrimary language
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2024Year of publication
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2024-01-01Full publication date if available
- Authors
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Rolf Moeckel, Wei-Chieh Huang, Joanna Ji, Carlos Llorca, Ana Tsui Moreno, Corin Staves, Qin Zhang, Gregory D. ErhardtList of authors in order
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https://doi.org/10.1016/j.trpro.2024.02.062Publisher landing page
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diamondOpen access status per OpenAlex
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https://doi.org/10.1016/j.trpro.2024.02.062Direct OA link when available
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Computer scienceTop concepts (fields/topics) attached by OpenAlex
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7Total citation count in OpenAlex
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2025: 4, 2024: 3Per-year citation counts (last 5 years)
- References (count)
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33Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.across | 130 |
| abstract_inverted_index.assess | 25 |
| abstract_inverted_index.higher | 148 |
| abstract_inverted_index.level. | 173 |
| abstract_inverted_index.longer | 156 |
| abstract_inverted_index.models | 18 |
| abstract_inverted_index.modes, | 93 |
| abstract_inverted_index.modes. | 120 |
| abstract_inverted_index.random | 159 |
| abstract_inverted_index.times, | 101 |
| abstract_inverted_index.travel | 13, 44, 61, 73 |
| abstract_inverted_index.weekly | 48 |
| abstract_inverted_index.ability | 23 |
| abstract_inverted_index.between | 69 |
| abstract_inverted_index.caution | 165 |
| abstract_inverted_index.certain | 26 |
| abstract_inverted_index.choice, | 115 |
| abstract_inverted_index.commute | 119 |
| abstract_inverted_index.complex | 43 |
| abstract_inverted_index.demand. | 14 |
| abstract_inverted_index.detail, | 87 |
| abstract_inverted_index.exhibit | 146 |
| abstract_inverted_index.forming | 53 |
| abstract_inverted_index.grained | 172 |
| abstract_inverted_index.limited | 20 |
| abstract_inverted_index.model's | 81 |
| abstract_inverted_index.models, | 65 |
| abstract_inverted_index.results | 122, 168 |
| abstract_inverted_index.vehicle | 105 |
| abstract_inverted_index.activity | 49, 128 |
| abstract_inverted_index.approach | 10 |
| abstract_inverted_index.behavior | 74 |
| abstract_inverted_index.changes. | 79 |
| abstract_inverted_index.choices, | 103 |
| abstract_inverted_index.habitual | 58, 92, 113 |
| abstract_inverted_index.modeling | 12, 118 |
| abstract_inverted_index.patterns | 50 |
| abstract_inverted_index.runtimes | 157 |
| abstract_inverted_index.services | 32 |
| abstract_inverted_index.weekdays | 137 |
| abstract_inverted_index.weekends | 145 |
| abstract_inverted_index.aggregate | 16 |
| abstract_inverted_index.analyzing | 167 |
| abstract_inverted_index.assigning | 91 |
| abstract_inverted_index.base-year | 82 |
| abstract_inverted_index.behavior. | 62 |
| abstract_inverted_index.described | 85 |
| abstract_inverted_index.different | 131 |
| abstract_inverted_index.dominated | 138 |
| abstract_inverted_index.duration, | 99 |
| abstract_inverted_index.education | 142 |
| abstract_inverted_index.frequency | 129 |
| abstract_inverted_index.generates | 47 |
| abstract_inverted_index.inability | 39 |
| abstract_inverted_index.including | 88 |
| abstract_inverted_index.mandatory | 94 |
| abstract_inverted_index.policies, | 28 |
| abstract_inverted_index.potential | 162 |
| abstract_inverted_index.represent | 42 |
| abstract_inverted_index.structure | 83 |
| abstract_inverted_index.subtours, | 98 |
| abstract_inverted_index.transport | 17, 27 |
| abstract_inverted_index.accurately | 41 |
| abstract_inverted_index.autonomous | 34 |
| abstract_inverted_index.behaviors. | 45 |
| abstract_inverted_index.day-to-day | 70 |
| abstract_inverted_index.emphasizes | 109 |
| abstract_inverted_index.especially | 116 |
| abstract_inverted_index.importance | 111 |
| abstract_inverted_index.introduces | 2 |
| abstract_inverted_index.proportion | 149 |
| abstract_inverted_index.suggesting | 164 |
| abstract_inverted_index.variations | 71, 126, 160 |
| abstract_inverted_index.Traditional | 15 |
| abstract_inverted_index.activities, | 95, 97, 143 |
| abstract_inverted_index.activities. | 152 |
| abstract_inverted_index.allocation. | 106 |
| abstract_inverted_index.destination | 102 |
| abstract_inverted_index.distinguish | 68 |
| abstract_inverted_index.incremental | 60 |
| abstract_inverted_index.significant | 77 |
| abstract_inverted_index.traditional | 64 |
| abstract_inverted_index.acknowledges | 155 |
| abstract_inverted_index.individuals, | 52 |
| abstract_inverted_index.limitations, | 163 |
| abstract_inverted_index.ride-pooling | 31 |
| abstract_inverted_index.year-to-year | 78 |
| abstract_inverted_index.discretionary | 96, 151 |
| abstract_inverted_index.understanding | 57 |
| abstract_inverted_index.activity-based | 4 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 96 |
| corresponding_author_ids | https://openalex.org/A5003488353 |
| countries_distinct_count | 3 |
| institutions_distinct_count | 8 |
| corresponding_institution_ids | https://openalex.org/I62916508 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/5 |
| sustainable_development_goals[0].score | 0.4000000059604645 |
| sustainable_development_goals[0].display_name | Gender equality |
| citation_normalized_percentile.value | 0.94938671 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |