http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : 권봉성(Kwon Bong-Sung) (검색결과 2 건)
- 무료
- 기관 내 무료
- 유료
-
권봉성 ( Kwon Bong-sung ),김은정 ( Kim Eun-jeong ),이승철 ( Lee Eung-ehel ),박경미 ( Park Kyung_mi ) 한국도로교통공단 2016 교통안전연구 Vol.35 No.-
Examining the 「Household Travel Survey on Metropolitan」 data, this study set its goal to identify the crucial factors having effects on the elderly travels. To achieve this, we figured out travel characteristics of the elderly by comparison to the non-elderly, then, to analyse the causality amongst the significant indicators for the elderly travel generation―such as travel frequency, travel distance, and travel time, and social-economic factors, designed Ordered Probit Models, an economic model, and Linear Log Models for total travel and on main purposes(business-related and non business-related). It is shown that variables related to the household(the number of househ1`old members, residence, living in a detached house, including the elderly, etc.) and individual(age, sex, driving license, job) are affecting the elderly travels, though, only population density of those related to the land use is statistically significant for business-related travel, not for total travel.
-
추상호(Choo Sangho),송재인(Song Jae-In),권봉성(Kwon Bong-Sung) 대한국토·도시계획학회 2011 국토계획 Vol.46 No.2
Recently rapid aging society has been a critical issue everywhere in Korea. In transportation field, however, travel behavior of the elderly has not much been considered in transportation planning and policy, thereby limiting their mobility and accessibility. This study is to identify key factors influencing travel behavior of the elderly using 2006 household travel survey data in Seoul Metropolitan Area. To this end, we first conducted descriptive analysis on travel characteristics between elderly (65 years or older) and non-elderly (19 ~ 64 years) groups with respect to trip frequencies, trip purpose, mode, trip distance, and travel time. Then, we developed ordered probit models for number of trips, and log-linear models for travel distance and time by total and travel purpose (work and shopping/social/personal business), considering household and personal characteristics, and land use variables as explanatory variables, and compared the model results between two groups. The results show that economic and socio-demograhic variables (such as gender, age, household size, and income) and land use (such as population and employment density) variables significantly affect elderly travel.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
