LRT passengers’ responses to advanced passenger information system (APIS) in case of information inconsistency and train crowding

2018 ◽  
Vol 45 (7) ◽  
pp. 583-593 ◽  
Author(s):  
Lina Kattan ◽  
Yuan Bai

This research explores and attempts to understand transit riders’ behavioural responses towards real-time transit information for two specific situations: the presence of inconsistent information on transit service recovery and the effects of crowded trains during rush hours. A survey was designed and conducted to collect light rail transit (LRT) riders’ behavioural responses in Calgary, Alberta. Multinomial logit models were developed and calibrated to explore the effects of the described scenarios on riders’ responses. The results led to the conclusion that socioeconomic attributes, experience with advanced passenger information system (APIS) system, familiarity with public transit in general and Calgary’s LRT system in particular, and the characteristics of origin LRT stations had strong influences on travellers’ behavioural responses. It was also determined that travellers’ actions vary significantly depending on the purpose of the trip, time of the trip, and weather conditions.

2017 ◽  
Vol 20 (2) ◽  
pp. 152-165
Author(s):  
You-Lian Chu ◽  
◽  
Yi Deng ◽  
Rongfang Liu ◽  
◽  
...  

Author(s):  
Francisco Javier Diez de los Rios Mesa ◽  
Rocío De Oña López ◽  
Juan De Oña López

Market segmentation can help transit operators to identify groups of passengers that share particular characteristics and specific needs and requirements about the service. Traditionally, socioeconomic variables have been used to perform a simple segmentation, although satisfaction rates about service attributes were not similar among individuals belonging to a group. Cluster analysis emerges as a novel analytical technique for extracting passengers’ profiles. This paper investigates passengers’ profiles at the metropolitan Light Rail Transit service of Seville (Spain). Latent Class Clustering algorithm is applied and satisfaction rates about different service quality attributes are considered for the segmentation. Particularly, two different cluster analyses are accomplished: first level, with only socioeconomic attributes; and second level, with eight service quality factors and socioeconomic attributes. The service quality factors are obtained through a principal component analysis, at which, the large number of attributes describing the service is reduced into constructs underlying them. Equivalent satisfaction rates are calculated for these service factors. Then, homogeneous groups of passengers are obtained. Additionally, the main differences among cluster are identified.DOI: http://dx.doi.org/10.4995/CIT2016.2016.3844


2015 ◽  
Vol 23 (1) ◽  
pp. 79-99
Author(s):  
Sau Soon Chen ◽  
◽  
Muhammad Zuhayr Dzul Haimi ◽  
Anuar Nordin ◽  
◽  
...  

1997 ◽  
Vol 1571 (1) ◽  
pp. 195-207 ◽  
Author(s):  
Toni Botte Bates ◽  
Dennis J. Wahl

Virtually all public works projects require a substantial planning effort to identify impacts, costs, and alternatives. Federal and state laws and regulations call for certain levels of public involvement during planning, but meaningful, collaborative public involvement entails doing more than the minimum requirements. This is particularly true when there appears to be an imbalance in public input, where one viewpoint is heard above others. The San Diego Metropolitan Transit Development Board (MTDB) has undertaken efforts on two corridor projects to expand its public involvement in ways that maximize the range of community views, enhance project design, and build support for the project. In addition to the traditional public meetings, newsletters, and open houses, MTDB has used public relations firms, neutral facilitators, and staff outreach to achieve expanded public involvement goals. MTDB has found that, while there are risks and costs associated with these approaches, they ultimately result in better projects that receive more widespread public and political acceptance.


2021 ◽  
pp. 0739456X2199391
Author(s):  
Margaret Ellis-Young ◽  
Brian Doucet

Most studies of transit-induced gentrification rely on statistical analysis that measures the extent to which gentrification is occurring. To extend and enhance our knowledge of its impact, we conducted sixty-five interviews with residents living along the light rail transit (LRT) corridor in Waterloo Region, Ontario, Canada, shortly before the system opened. There was already strong evidence of gentrification, with more than $3 billion (Canadian dollars) worth of investment, largely in condominiums, before a single passenger was carried. In line with contemporary critical conceptualizations of gentrification, our interviews identified new and complex psychological, phenomenological, and experiential aspects of gentrification, in addition to economic- or class-based changes.


Sign in / Sign up

Export Citation Format

Share Document