Dataset Information

Identifying the factors affecting bike-sharing usage and degree of satisfaction in Ningbo, China.

ABSTRACT: The boom in bike-sharing is receiving growing attention as societies become more aware of the importance of active non-motorized traffic modes. However, the low usage of this transport mode in China raises concerns. The primary objective of this study is to explore factors affecting bike-sharing usage and satisfaction degree of bike-sharing among the bike-sharing user population in China. Data were collected by a questionnaire survey in Ningbo. A bivariate ordered probit (BOP) model was developed to examine simultaneously those factors associated with both bike-sharing usage and satisfaction degree of bike-sharing among users. Marginal effects for contributory factors were calculated to quantify their impacts on the outcomes. The results showed that the BOP model can account for commonly shared unobserved characteristics within usage and satisfaction of bike-sharing. The BOP model results showed that the usage of bike-sharing was affected by gender, household bicycle/e-bike ownership, trip model, travel time, bike-sharing stations location, and users' perception of bike-sharing. The satisfaction degree of bike-sharing was affected by household income, bike-sharing stations location, and users' perception of bike-sharing. It is also found that bike-sharing usage and satisfaction degree are strongly correlated and positive in direction. The results can enhance our comprehension of the factors that affect usage and satisfaction degree of bike-sharing. Based on the results, some suggestions regarding planning, engineering, and public advocacy were discussed to increase the usage of bike-sharing in Ningbo, China.

SUBMITTER: Guo Y

PROVIDER: S-EPMC5608320 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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Identifying the factors affecting bike-sharing usage and degree of satisfaction in Ningbo, China.

Guo Yanyong Y Zhou Jibiao J Wu Yao Y Li Zhibin Z

PloS one 20170921 9

The boom in bike-sharing is receiving growing attention as societies become more aware of the importance of active non-motorized traffic modes. However, the low usage of this transport mode in China raises concerns. The primary objective of this study is to explore factors affecting bike-sharing usage and satisfaction degree of bike-sharing among the bike-sharing user population in China. Data were collected by a questionnaire survey in Ningbo. A bivariate ordered probit (BOP) model was develope ...[more]

PMID: 28934321

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Project description:This study aimed to determine the factors that influence patient satisfaction with ecdemic medical care.Eight hundred and forty-four face-to-face interviews were conducted between October and November 2017 in two high-profile hospitals in Nanchang, China. Patient satisfaction was divided into lowest and highest satisfaction groups according the 80/20 rule. Demographic factors associated with patient satisfaction were identified by logistic regression models.Respondents' main reasons for choosing a non-local hospital were "high level of medical treatment" (581/844), "good reputation of the hospital" (533/844), and "advanced medical equipment" (417/844). The top three items that dissatisfied the ecdemic patients were "long time to wait for treatment" (553/844), "complicated formalities" (307/844), and "poor overall service attitude" (288/844). Fewer female patients (adjusted odds ratio [AOR] =1.47, 95% confidence interval [CI] =1.03-2.11), patients with a family per-capita monthly income (FPMI) between 3,001 and 5,000 CNY (AOR =1.40, 95% CI =1.01-2.17), inpatients (AOR =1.46, 95% CI =1.01-2.13), and more patients with an FPMI >7,000 CNY (AOR =0.43, 95% CI =0.20-0.92) were detected in the lowest satisfaction group. Fewer patients with an associate's or bachelor's degree (AOR =2.40, 95% CI =1.37-4.20) and patients with an FPMI >7,000 CNY (AOR =3.02, 95% CI =1.10-8.33) were detected in the highest satisfaction group. Moreover, more inpatients (AOR =0.70, 95% CI =0.54-0.97) and those aged 46-65 years (AOR =0.63, 95% CI =0.33-0.98) were detected in the highest satisfaction group.Findings suggested that managers of the medical facilities should note the importance of increasing their publicity through a rapidly developing media, as well as the necessity of creating a more patient-friendly medical care experience. Hospitals should also focus on the medical care experience of patients with relatively lower and higher income levels, male ecdemic patients, and ecdemic outpatients.

Dataset Information

Identifying the factors affecting bike-sharing usage and degree of satisfaction in Ningbo, China.

Publications

Identifying the factors affecting bike-sharing usage and degree of satisfaction in Ningbo, China.

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