The primary goal of this paper is to identify the influence factors of public transportation (PT) competitiveness as related to potential passengers through an analysis of travel intentions. The logistic regression model is utilized to analyze PT travel intentions of people who commute daily by car in Shanghai, China. Through comparing the service quality of PT and of car from five aspects (i.e., comfort, timeliness, reliability, economics, and safety), the significant influence factors are identified. The results reveal that the difference in service quality between PT travel and car travel is insignificant for safety and convenience, while comfort, reliability, and economics matter most to the willingness to travel via PT. In addition, increasing the cost of car travel and improving the service quality of PT are both helpful in attracting car users to switch travel mode and enhancing PT competitiveness. The findings and suggestions will provide support to decisions in PT development policy making.

No abstract

No abstract

No abstract

This study explores the spatial distribution characteristics of travel activities and their relationship with land use, using data from the resident travel survey in 2015 of Xiaoshan District of Hangzhou City, China. A new classification method is proposed to classify the travel activity patterns into three groups: single-activity travel, multi-activity intermittent travel, and multi-activity continuous travel. The main findings are: (a) the length of activity chain and the proportion of multi-activity travels increase with the distance between residence and activity centre; (b) the non-home destinations of single-activity travel, multi-activity intermittent travel and multi-activity continuous travel agglomerate towards the activity centre, and the degree of agglomeration increases in this order; (c) the distribution density of Point Of Interest (POI) and activity destinations have strong positive correlations in space; (d) some attributes of POIs and demographics have significant influence on multi-activity continuous travels. These findings are useful in inducing the activities through reasonable combinations and spatial interconnections of POIs in urban planning.