Influencing factors and measure of the activity space of the elderly: a case study of Kunming city
The study on the activity space could help us better understand the travel behavior of the elderly people, which is significant for improving the adaptability of the urban transportation system to social aging and promoting the transportation equity. Using the resident trip survey and the built envi...
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| Format: | Article |
| Language: | English |
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Science Press (China Science Publishing & Media Ltd.)
2023-03-01
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| Series: | Shenzhen Daxue xuebao. Ligong ban |
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| Online Access: | https://journal.szu.edu.cn/en/#/digest?ArticleID=2503 |
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| author | HE Min CAO Kun HE Mingwei LIU Yang SHI Zhuangbin |
| author_facet | HE Min CAO Kun HE Mingwei LIU Yang SHI Zhuangbin |
| author_sort | HE Min |
| collection | DOAJ |
| description | The study on the activity space could help us better understand the travel behavior of the elderly people, which is significant for improving the adaptability of the urban transportation system to social aging and promoting the transportation equity. Using the resident trip survey and the built environment data from Kunming city in 2016, we investigate the elderly's activity space measure and influencing factors. Firstly, the activity space of the elderly people is measured by the standard confidence ellipse method with geographic information system (GIS), and the distribution characteristics and group differences are also counted and analyzed. Then, the influencing factors of the activity space of the elderly are identified by the ordered logit model. The results demonstrate that more than half of the activity space of the elderly is distributed within five square kilometer, and shows significant group differences. The factors such as park density, intersection density, road network density, shopping mall density, the nearest distance to the bus station, age, gender, family structure and annual income have significant impacts on the activity space of the elderly. |
| format | Article |
| id | doaj-art-ee4325d88dbf47eeb67c1a6ec4fe5aeb |
| institution | DOAJ |
| issn | 1000-2618 |
| language | English |
| publishDate | 2023-03-01 |
| publisher | Science Press (China Science Publishing & Media Ltd.) |
| record_format | Article |
| series | Shenzhen Daxue xuebao. Ligong ban |
| spelling | doaj-art-ee4325d88dbf47eeb67c1a6ec4fe5aeb2025-08-20T02:56:39ZengScience Press (China Science Publishing & Media Ltd.)Shenzhen Daxue xuebao. Ligong ban1000-26182023-03-0140218819410.3724/SP.J.1249.2023.021881000-2618（2023）02-0188-07Influencing factors and measure of the activity space of the elderly: a case study of Kunming cityHE Min0CAO Kun1HE Mingwei2LIU Yang3SHI Zhuangbin4Faculty of Transportation Engineering, Kunming University of Science and Technology, Kunming 650504, Yunnan Province, P. R. ChinaFaculty of Transportation Engineering, Kunming University of Science and Technology, Kunming 650504, Yunnan Province, P. R. ChinaFaculty of Transportation Engineering, Kunming University of Science and Technology, Kunming 650504, Yunnan Province, P. R. ChinaFaculty of Transportation Engineering, Kunming University of Science and Technology, Kunming 650504, Yunnan Province, P. R. ChinaFaculty of Transportation Engineering, Kunming University of Science and Technology, Kunming 650504, Yunnan Province, P. R. ChinaThe study on the activity space could help us better understand the travel behavior of the elderly people, which is significant for improving the adaptability of the urban transportation system to social aging and promoting the transportation equity. Using the resident trip survey and the built environment data from Kunming city in 2016, we investigate the elderly's activity space measure and influencing factors. Firstly, the activity space of the elderly people is measured by the standard confidence ellipse method with geographic information system (GIS), and the distribution characteristics and group differences are also counted and analyzed. Then, the influencing factors of the activity space of the elderly are identified by the ordered logit model. The results demonstrate that more than half of the activity space of the elderly is distributed within five square kilometer, and shows significant group differences. The factors such as park density, intersection density, road network density, shopping mall density, the nearest distance to the bus station, age, gender, family structure and annual income have significant impacts on the activity space of the elderly.https://journal.szu.edu.cn/en/#/digest?ArticleID=2503urban trafficactivity spaceelderlytravel behaviorordered logit modelstandard confidence ellipse method |
| spellingShingle | HE Min CAO Kun HE Mingwei LIU Yang SHI Zhuangbin Influencing factors and measure of the activity space of the elderly: a case study of Kunming city Shenzhen Daxue xuebao. Ligong ban urban traffic activity space elderly travel behavior ordered logit model standard confidence ellipse method |
| title | Influencing factors and measure of the activity space of the elderly: a case study of Kunming city |
| title_full | Influencing factors and measure of the activity space of the elderly: a case study of Kunming city |
| title_fullStr | Influencing factors and measure of the activity space of the elderly: a case study of Kunming city |
| title_full_unstemmed | Influencing factors and measure of the activity space of the elderly: a case study of Kunming city |
| title_short | Influencing factors and measure of the activity space of the elderly: a case study of Kunming city |
| title_sort | influencing factors and measure of the activity space of the elderly a case study of kunming city |
| topic | urban traffic activity space elderly travel behavior ordered logit model standard confidence ellipse method |
| url | https://journal.szu.edu.cn/en/#/digest?ArticleID=2503 |
| work_keys_str_mv | AT hemin influencingfactorsandmeasureoftheactivityspaceoftheelderlyacasestudyofkunmingcity AT caokun influencingfactorsandmeasureoftheactivityspaceoftheelderlyacasestudyofkunmingcity AT hemingwei influencingfactorsandmeasureoftheactivityspaceoftheelderlyacasestudyofkunmingcity AT liuyang influencingfactorsandmeasureoftheactivityspaceoftheelderlyacasestudyofkunmingcity AT shizhuangbin influencingfactorsandmeasureoftheactivityspaceoftheelderlyacasestudyofkunmingcity |