Exploring the Activity-Travel Patterns of Multi-Purpose Commuters on Workdays Based on Activity Chains and Time Allocation: Evidence from Kunming, China
Understanding activity-travel patterns and their determinants with regard to multi-purpose commuters is essential for enhancing commuting efficiency and ensuring equal participation in activities. This study applies sequence analysis and hierarchical clustering to identify distinct activity-travel p...
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MDPI AG
2024-12-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | https://www.mdpi.com/2220-9964/13/12/446 |
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| author | Mingwei He Na Chen Yueren He Jianbo Li Yang Liu |
| author_facet | Mingwei He Na Chen Yueren He Jianbo Li Yang Liu |
| author_sort | Mingwei He |
| collection | DOAJ |
| description | Understanding activity-travel patterns and their determinants with regard to multi-purpose commuters is essential for enhancing commuting efficiency and ensuring equal participation in activities. This study applies sequence analysis and hierarchical clustering to identify distinct activity-travel patterns of Kunming commuters using 2016 Household Travel Survey data. Subsequently, a multinomial logistic regression model (MNL) examines the factors influencing these patterns. The results reveal significant heterogeneity across four activity-travel patterns: the fixed commuter pattern (FCP), characterized by pronounced morning and evening peaks with minimal non-commuting activities; the balanced commuter pattern (BCP), where commuters participate in non-commuting activities after afternoon work; the restricted commuter pattern (RCP), with non-commuting activities occurring after midday work; and the flexible commuter pattern (FLCP), featuring a late-start work pattern where some commuters go to work after 5 pm. Additionally, the study finds that female commuters and those with longer commuting and working hours tend to have simpler time allocation. Conversely, male commuters, those from complex family structures, car-owning households, and residents in areas with abundant activity opportunities actively engage in non-commuting activities. These findings can help policymakers optimize travel services and develop heterogeneous commuting and transportation policies. |
| format | Article |
| id | doaj-art-0c0cbe81d1414b099f46d3aaa2ef8ec6 |
| institution | Kabale University |
| issn | 2220-9964 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
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| series | ISPRS International Journal of Geo-Information |
| spelling | doaj-art-0c0cbe81d1414b099f46d3aaa2ef8ec62024-12-27T14:30:07ZengMDPI AGISPRS International Journal of Geo-Information2220-99642024-12-01131244610.3390/ijgi13120446Exploring the Activity-Travel Patterns of Multi-Purpose Commuters on Workdays Based on Activity Chains and Time Allocation: Evidence from Kunming, ChinaMingwei He0Na Chen1Yueren He2Jianbo Li3Yang Liu4Faculty of Transportation Engineering, Kunming University of Science and Technology, Jingming South Road 727, Kunming 650500, ChinaFaculty of Transportation Engineering, Kunming University of Science and Technology, Jingming South Road 727, Kunming 650500, ChinaFaculty of Transportation Engineering, Kunming University of Science and Technology, Jingming South Road 727, Kunming 650500, ChinaFaculty of Transportation Engineering, Kunming University of Science and Technology, Jingming South Road 727, Kunming 650500, ChinaFaculty of Transportation Engineering, Kunming University of Science and Technology, Jingming South Road 727, Kunming 650500, ChinaUnderstanding activity-travel patterns and their determinants with regard to multi-purpose commuters is essential for enhancing commuting efficiency and ensuring equal participation in activities. This study applies sequence analysis and hierarchical clustering to identify distinct activity-travel patterns of Kunming commuters using 2016 Household Travel Survey data. Subsequently, a multinomial logistic regression model (MNL) examines the factors influencing these patterns. The results reveal significant heterogeneity across four activity-travel patterns: the fixed commuter pattern (FCP), characterized by pronounced morning and evening peaks with minimal non-commuting activities; the balanced commuter pattern (BCP), where commuters participate in non-commuting activities after afternoon work; the restricted commuter pattern (RCP), with non-commuting activities occurring after midday work; and the flexible commuter pattern (FLCP), featuring a late-start work pattern where some commuters go to work after 5 pm. Additionally, the study finds that female commuters and those with longer commuting and working hours tend to have simpler time allocation. Conversely, male commuters, those from complex family structures, car-owning households, and residents in areas with abundant activity opportunities actively engage in non-commuting activities. These findings can help policymakers optimize travel services and develop heterogeneous commuting and transportation policies.https://www.mdpi.com/2220-9964/13/12/446multi-purpose commuteractivity-travel patternssequence analysishierarchical clusteringtime allocation |
| spellingShingle | Mingwei He Na Chen Yueren He Jianbo Li Yang Liu Exploring the Activity-Travel Patterns of Multi-Purpose Commuters on Workdays Based on Activity Chains and Time Allocation: Evidence from Kunming, China ISPRS International Journal of Geo-Information multi-purpose commuter activity-travel patterns sequence analysis hierarchical clustering time allocation |
| title | Exploring the Activity-Travel Patterns of Multi-Purpose Commuters on Workdays Based on Activity Chains and Time Allocation: Evidence from Kunming, China |
| title_full | Exploring the Activity-Travel Patterns of Multi-Purpose Commuters on Workdays Based on Activity Chains and Time Allocation: Evidence from Kunming, China |
| title_fullStr | Exploring the Activity-Travel Patterns of Multi-Purpose Commuters on Workdays Based on Activity Chains and Time Allocation: Evidence from Kunming, China |
| title_full_unstemmed | Exploring the Activity-Travel Patterns of Multi-Purpose Commuters on Workdays Based on Activity Chains and Time Allocation: Evidence from Kunming, China |
| title_short | Exploring the Activity-Travel Patterns of Multi-Purpose Commuters on Workdays Based on Activity Chains and Time Allocation: Evidence from Kunming, China |
| title_sort | exploring the activity travel patterns of multi purpose commuters on workdays based on activity chains and time allocation evidence from kunming china |
| topic | multi-purpose commuter activity-travel patterns sequence analysis hierarchical clustering time allocation |
| url | https://www.mdpi.com/2220-9964/13/12/446 |
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