Analysis of older people's walking behavioral intention with the extended theory of planned behavior
被引:6
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作者:
Liu, Jianrong
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机构:
South China Univ Technol, Sch Civil Engn & Transportat, Guangzhou, Peoples R ChinaSouth China Univ Technol, Sch Civil Engn & Transportat, Guangzhou, Peoples R China
Liu, Jianrong
[1
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Liu, Lihua
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机构:
Henan Univ Urban Construct, Sch Civil & Transportat Engn, 1 Longxiang Rd, Pingdingshan City 467036, Henan, Peoples R China
Southeast Univ, Sch Transportat, Nanjing, Peoples R ChinaSouth China Univ Technol, Sch Civil Engn & Transportat, Guangzhou, Peoples R China
Liu, Lihua
[2
,3
]
Pei, Mingyang
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机构:
Chalmers Univ Technol, Dept Architecture & Civil Engn, SE-41296 Gothenburg, SwedenSouth China Univ Technol, Sch Civil Engn & Transportat, Guangzhou, Peoples R China
Pei, Mingyang
[4
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机构:
[1] South China Univ Technol, Sch Civil Engn & Transportat, Guangzhou, Peoples R China
[2] Henan Univ Urban Construct, Sch Civil & Transportat Engn, 1 Longxiang Rd, Pingdingshan City 467036, Henan, Peoples R China
[3] Southeast Univ, Sch Transportat, Nanjing, Peoples R China
Introduction: Walking is a vital part of an older person's daily routine. It is critical to get insight into the determinants of older people's behavioral intention (BI) to walk in the neighborhood to encourage walking among them. However, research on older people's walking habits is lacking, particularly in developing countries like China. Methods: 501 complete responses were collected from a face-to-face survey conducted in Nanjing City. Four models were analyzed and compared in this paper. The theory of planned behavior (TPB) was examined in Model 1. The descriptive norm (DN) was added to the TPB in Model 2. Walking environment components were added to the TPB in Model 3. The TPB was supplemented with DN and walking environment constructs in Model 4. Results: Model 1 and Model 2 explain 71.3% and 74.9% of the variance in BI, respectively, meaning that the explanatory power increases by 3.6% when DN is taken into account. Model 3 explains 80.2% of the variance in BI, implying that when the walking environment constructs are included, the explanatory power increases by 8.9%. Model 4 has the greatest explanatory power (82.0%) on BI. Attitude (ATT), perceived behavioral control (PBC), and DN have significant associations with older people's BI, whereas subjective norm (SN) does not. In terms of constructs of the walking environment, perceived comfort has a significant association with behavioral intention, but perceived safety does not. Conclusions: How others act around an individual, other than how they approve of that individual's actions, has a significant impact on older people's walking intentions. PBC is highly correlated with older people's BI. The findings also emphasize the need of improving the walking environment for older individuals.
机构:
Southwest Jiaotong Univ, Psychol Res & Counseling Ctr, Chengdu 610000, Sichuan, Peoples R China
Univ Macau, Fac Social Sci, Dept Psychol, Macau, Peoples R ChinaMurdoch Univ, Discipline Educ, Murdoch, WA, Australia
Shi, Wei
Hoi, Cathy Ka Weng
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机构:
Univ Macau, Fac Educ, Macau, Peoples R China
Univ Alabama, Coll Educ, Tuscaloosa, AL USAMurdoch Univ, Discipline Educ, Murdoch, WA, Australia
Hoi, Cathy Ka Weng
Huang, Fang
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机构:
Qingdao Univ, Sch Foreign Languages, Qingdao, Shandong, Peoples R ChinaMurdoch Univ, Discipline Educ, Murdoch, WA, Australia