scholarly journals An analysis on Travel mode changes of commuters for public transportation planning

1998 ◽  
Vol 15 ◽  
pp. 517-525
Author(s):  
Jun-ichi TAKAYAMA ◽  
Keisuke SHIOJI
Keyword(s):  
Public Transportation ◽  
Transportation Planning ◽  
Travel Mode ◽  
Public Transportation Planning

scholarly journals Exploring Equity in Public Transportation Planning Using Smart Card Data

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3039
Author(s):  
Kiarash Ghasemlou ◽  
Murat Ergun ◽  
Nima Dadashzadeh
Keyword(s):  
Smart Card ◽  
Public Transportation ◽  
Transportation Planning ◽  
Demand Characteristic ◽  
Monthly Data ◽  
Smart Card Data ◽  
Planning Methods ◽  
Public Transportation Planning ◽  
Daily Travel ◽  
A Share

Existing public transport (PT) planning methods use a trip-based approach, rather than a user-based approach, leading to neglecting equity. In other words, the impacts of regular users—i.e., users with higher trip rates—are overrepresented during analysis and modelling because of higher trip rates. In contrast to the existing studies, this study aims to show the actual demand characteristic and users’ share are different in daily and monthly data. For this, 1-month of smart card data from the Kocaeli, Turkey, was evaluated by means of specific variables, such as boarding frequency, cardholder types, and the number of users, as well as a breakdown of the number of days traveled by each user set. Results show that the proportion of regular PT users to total users in 1 workday, is higher than the monthly proportion of regular PT users to total users. Accordingly, users who have 16–21 days boarding frequency are 16% of the total users, and yet they have been overrepresented by 39% in the 1-day analysis. Moreover, users who have 1–6 days boarding frequency, have a share of 66% in the 1-month dataset and are underrepresented with a share of 22% in the 1-day analysis. Results indicated that the daily travel data without information related to the day-to-day frequency of trips and PT use caused incorrect estimation of real PT demand. Moreover, user-based analyzing approach over a month prepares the more realistic basis for transportation planning, design, and prioritization of transport investments.

scholarly journals Scaling Up Innovative Participatory Design for Public Transportation Planning: Lessons from Experiments in the Global South

2020 ◽  
Vol 2674 (12) ◽  
pp. 25-37
Author(s):  
Chris Zegras ◽  
Jonathan Leape ◽  
Juan Antonio Carrasco ◽  
Cristian Navas ◽  
Christo Venter ◽  
...  
Keyword(s):  
Public Transportation ◽  
Transportation Planning ◽  
Participatory Design ◽  
New Technologies ◽  
Urban System ◽  
Scaling Up ◽  
Global South ◽  
Web Based ◽  
Planning Processes ◽  
Public Transportation Planning

New data, new technologies, and greater computational power are changing the possibilities for involving stakeholders in transportation planning. This article explores these possibilities by comparing deployments of an interactive web-based public transportation mapping system in four cities of the Global South. Structured workshops focused on different public transportation improvement projects and involved different types of stakeholders. Despite the differences across the workshops, they allow for some comparison of the effects. In relation to the technology itself, participants broadly agreed about its usefulness and usability. Pre-/post-workshop surveys suggest that participants learned about the transportation projects presented but reveal modest evidence in relation to other impacts, such as learning about the concept of accessibility, and gaining an appreciation for the potential broader urban system impacts of public transport projects. Knowledge among the participants tended to converge, and the tool helped promote dialog among participants and generated some empathy for others. The workshop experiences provide some hope for such tools in enhancing public transportation planning processes, globally, but “scaling up” the technology would need to overcome institutional, technical, and procedural challenges.

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