- 著者
- Sudarmanto Budi NUGROHO Akimasa FUJIWARA Junyi ZHANG
- 出版者
- The Japan Society of Mechanical Engineers
- 雑誌
- JSME International Journal Series B Fluids and Thermal Engineering (ISSN:13408054)
- 巻号頁・発行日
- vol.49, no.1, pp.8-18, 2006 (Released:2006-08-15)
- 参考文献数
- 17
- 被引用文献数
- 2 2
Jakarta city has serious air pollution problems which largely affected by transportation activities. In this paper, a comparative analysis of ambient roadside air pollution patterns in Jakarta city was conducted by using time series data at the existing roadside monitoring stations in 2003. The complex cause-effect relationships between meteorology and pollutants, thus, differ from one season to another. This paper attempts to apply structural equation models with latent variables, which represents the above-mentioned cause-effect relationships. The effectiveness of the established models is empirically confirmed that the goodness-of-fit indices are 0.783 for the weekday wet, 0.845 for the weekday dry, 0.775 for the weekend wet, and 0.822 for the weekend dry. The models give us a better way to analyze urban air pollution due to the results of the significant interactions among meteorological factors, wind and primary pollutants, and also their different influences on surface ozone for each season.
1 0 0 0 OA Representing Tourist's Time Use Behavior Based on a Multiple Discrete-Continuous Extreme Value Model
- 著者
- Lingling Wu Junyi Zhang Akimasa Fujiwara
- 出版者
- Eastern Asia Society for Transportation Studies
- 雑誌
- Proceedings of the Eastern Asia Society for Transportation Studies
- 巻号頁・発行日
- pp.154, 2011 (Released:2011-09-30)
This study applies a multiple discrete-continuous extreme value (MDCEV) model to analyze tourist's time use behavior involving multiple activities. The MDCEV model is applied because it has several advantages over other existing time use models, including the joint representation of participation in multiple activities and the allocated time, diminishing marginal utilities (satiation effects), and different baseline utilities. Application analysis is carried out using a data collected from tourists in Japan. Influential factors related to time use in 7 activity categories are explored. Concretely speaking, individual attributes including age, employment status, residential area, travel experience, and trip-related attributes including travel mode, travel party, travel season are found to be important influential factors. It is also observed that the level of satiation is high for shopping activities and low for sport and hot spring activities.