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 : Baiying Shi (검색결과 4 건)
- 무료
- 기관 내 무료
- 유료
-
Study on Risk Evaluation and Preventive Tactics for Product Development
Fang Shi,Yu Zhang,Jiangsheng Xia,Baiying Zhuang 인하대학교 정석물류통상연구원 2009 인하대학교 정석물류통상연구원 학술대회 Vol.2009 No.10
On the basis of investigation and analysis, this paper defined the main risks of enterprise product development, and their causes. Risks of enterprise product deveopment consist of market risk, technical risk, social risk, management risk and so on. To build a risk assessment model of enterprise product development with analytic hierarchy process method, meanwhile, measures against the risk of product development was given. In order to strengthening the general investigation of the market, choosing development direction carefully, shorten the product development cycle, adhere to sustainable development strategy, choose the most appropriate time to lunch, application of high-tech, improving the product development organization, optimizing production processes designed, strengthening the IT security, analyzing business environment systematically, track survey in social trends, optimize management of product development, improve the quality of employees, the implementation of the development quality assurance, improving the development information system and so on.
-
Detecting Taxi Travel Patterns using GPS Trajectory Data: A Case Study of Beijing
Hui Zhang,Baiying Shi,Chengxiang Zhuge,Wei Wang 대한토목학회 2019 KSCE JOURNAL OF CIVIL ENGINEERING Vol.23 No.4
GPS trajectory is a valuable source to understand the operational status of taxicabs and identify the traffic demand and congestions. This study attempts to use 24-hour taxi trajectory data to investigate the attributes of taxicabs such as the distance of occupied distance, number of active taxicabs in different hours, average trip speed in different hour, coverage area of a taxicab, average radius of a taxicab, occupied rate and service times. The results show that the highest speed of taxicabs occur in the 3:00 am when there is the smallest number of active taxicabs running on the road. Moreover, the average occupied rate is 0.59 and the average service times are 19.8 in a day. Finally, a latent class analysis model is used to make the segment of taxicabs by their attributes. Four operational patterns have been found including ‘downtown preference type’, ‘long-distance preference type’, ‘suburbs preference type’ and ‘free preference type’. This study can shed light on understanding the operational status of taxicabs and gives suggestions for operators and passengers for better managing and using taxicabs.
-
Jianmin Jia,Hui Zhang,Baiying Shi 대한토목학회 2022 KSCE JOURNAL OF CIVIL ENGINEERING Vol.26 No.12
The relationship between taxi travel patterns and public transportation disruption has not been extensively explored. In this study, we investigated the impact of public transportation disruption on the taxi mobility patterns during the metro shutdown in Washington, D.C.. Multiple data source, involving taxi trips, traffic analysis zone, and point of interest (POI) information, was collected to compare the taxi travel patterns before, during, and after the metro shutdown. The number, distance, and duration of taxi trips were found to be significantly higher during the metro shutdown; specifically, the number of taxi trips was found to be 19.8% larger. Furthermore, a POI auxiliary analysis was performed to investigate the variation in community structure during the disruption of public transport using the modularity maximization approach. The results of this study will be useful for the development of taxi scheduling strategies and traffic management.
-
Hui Zhang,Xu Li,Lele Zhang,Wei Wang,Jianmin Jia,Baiying Shi 대한토목학회 2021 KSCE Journal of Civil Engineering Vol.25 No.2
The various performances of buses at stations bring lots of difficulties for operators to manage them to improve the service quality. This paper proposes a data-driven framework to analyze the patterns of stations with network structure data, points of interest (POI) data and vehicle global positioning system (GPS) trajectory data. First, we build six indicators based on these data to measure the performance from station perspective. The results show that the number of POI around stations within 1 kilometer follows an exponential distribution. Moreover, the average headway and headway deviation of stations follow lognormal distributions. Second, we use agglomerative hierarchical clustering method to divided bus stations into different groups. Results indicate that the bus stations of Jinan could be divided into four groups with obvious characteristics. The findings could help operators to make exclusive strategies to manage bus systems.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
