Over the last decade there has been increased research interest in the relationships between travel behavior and health, but the association between health and mode choice to facilities has only been studied to a limited extent. In my thesis, I use the polychotomous logit model for that I only include case specific variables. This thesis uses 2013-2015 CHARLS micro panel data examined association and causality of physical health indicators on mode choices to health facilities for outpatient and inpatient. The empirical results show that running 1km difficulty increase the probability of making a trip to out-patient facility and decrease the likelihood of making a trip relative to not make a trip to health facilities for in-patient. Condition on making a trip, it increase the probability of choosing bus mode relative to other modes for outpatient. And it decrease the probability of choosing electric bicycle mode relative to other modes for inpatient. After controlling province effect, this result is still robust. The good health status decrease the probability of making a trip relative to not make a trip to health facility for outpatient and not significant for inpatient. After controlling province effect, the results are still robust. These results are consistent with my hypothesis and some studies. The obesity effects on mode choice is not obvious both for outpatient and inpatient, this effect need more literature and empirical evidence. The trip factors increase the probability of making a trip relative to not make a trip to in-patient and out-patient facility. The country level health facilities visited increase the probability of making a trip relative to not make a trip to health facilities. What’s more, the first visit to health facilities for outpatient increase the probability of making a trip relative to not make a trip. The inpatient care last year also increase the probability of making a trip relative to not make a trip to health facilities. Conventional indicators of mode choice including, age, gender, urban, working status, drink habit, vehicle owned were found to be important in mode choice among older adults. Because the age limitation on car and motorcycle driving in China, I use age group to research the regulation effect on my model. Results shows that people who aged above 70 years old will less likely to choose car and bicycle mode to health facility for outpatient. But this effect is not obvious for inpatient modes. What’s more, some cities will ban on motorcycle in China. I use dummy variable ban on motorcycle find that the older people who live in city which has limitations on motorcycle mode will more likely to choose walk and car mode to health facility for outpatient. And this effect is also positively related mode choice to inpatient health facility except for bicycle and electric bicycle mode. The results of this study contribute to the very limited number of studies including physical aspects of health in relation to mode choice to health facilities among older adults. As only few studies have been made to study the associations between health and mode choice, especially mode choice to health facilities, my thesis can provide empirical evidence on improving health care facilities access to older population. Understanding the relationship between health and mode choice to health facilities, in relation to conventional indicators, can help support decision-makers and transportation planners develop more efficient interventions aimed at encourage country level of health facilities and road planning to ease the access to health facilities for older adults.