Air Quality at Public Transportation Stations/Stops: Contribution of Light Rail Transit to Reduce Air Pollution

2021 ◽  
Author(s):  
Addis Bikis ◽  
Digvijay Pandey
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Public Transportation ◽  
Light Rail ◽  
Rail Transit ◽  
Light Rail Transit

Estimation of the Environmental Load Caused by Introducing Light Rail Transit Using an Urban Transportation Simulator

2013 ◽  
Vol 295-298 ◽  
pp. 669-672
Author(s):  
Nozomi Kudo ◽  
Hideo Nakamura
Keyword(s):  
Public Transportation ◽  
Urban Transportation ◽  
Light Rail ◽  
Rail Transit ◽  
Environmental Load ◽  
Light Rail Transit ◽  
Low Carbon ◽  
Modal Shift

A modal shift from automobiles is imperative in the transportation field for realizing a low-carbon society. We have developed a simulator that can quantitatively assess the effect of a modal shift by simulating track-based public transportation, such as LRT (Light Rail Transit), and automobile transportation. This paper presents an example in which we used the simulator to calculate the effect in a case where track-based transportation is implemented.

scholarly journals Passenger Flows Estimation of Light Rail Transit (LRT) System in Izmir, Turkey Using Multiple Regression and ANN Methods

1970 ◽  
Vol 24 (1) ◽  
pp. 1-14
Author(s):  
Mustafa Özuysal ◽  
Gökmen Tayfur ◽  
Serhan Tanyel
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Multiple Regression ◽  
Public Transportation ◽  
Light Rail ◽  
Rail Transit ◽  
Light Rail Transit ◽  
Passenger Flow ◽  
Feed Forward Back Propagation ◽  
Artificial Neural

Passenger flow estimation of transit systems is essential for new decisions about additional facilities and feeder lines. For increasing the efficiency of an existing transit line, stations which are insufficient for trip production and attraction should be examined first. Such investigation supports decisions for feeder line projects which may seem necessary or futile according to the findings. In this study, passenger flow of a light rail transit (LRT) system in Izmir, Turkey is estimated by using multiple regression and feed-forward back-propagation type of artificial neural networks (ANN). The number of alighting passengers at each station is estimated as a function of boarding passengers from other stations. It is found that ANN approach produced significantly better estimations specifically for the low passenger attractive stations. In addition, ANN is found to be more capable for the determination of trip-attractive parts of LRT lines.   Keywords: light rail transit, multiple regression, artificial neural networks, public transportation

scholarly journals Gender and Age Do Matter: Exploring the Effect of Passengers’ Gender and Age on the Perception of Light Rail Transit Service Quality in Kuala Lumpur, Malaysia

2021 ◽  
Vol 13 (2) ◽  
pp. 990
Author(s):  
Ahmad Nazrul Hakimi Ibrahim ◽  
Muhamad Nazri Borhan ◽  
Nur Izzi Md. Yusoff ◽  
Amiruddin Ismail ◽  
Muhamad Razuhanafi Mat Yazid ◽  
...  
Keyword(s):  
Service Quality ◽  
Public Transportation ◽  
Service Providers ◽  
Sustainable Transportation ◽  
Light Rail ◽  
Rail Transit ◽  
Light Rail Transit ◽  
Kuala Lumpur ◽  
Passenger Satisfaction ◽  
Gender And Age

Light rail transit (LRT) is a sustainable transportation mode that ensures sustainable environmental, economic, and social development. Generally, the rate of public transportation usage in many parts of the world remains low compared to private vehicles. There is a need to understand passengers’ perception of public transportation service quality to enhance passenger satisfaction and increase ridership. Thus, this study used the Kuala Lumpur LRT service as a case study to investigate the effect of a passenger’s gender and age on their perception of the LRT service quality and their overall satisfaction. This survey involved 417 respondents. The outcome of factor analysis indicated that eight factors—i.e., signage, comfort, speediness, safety, ticketing service, facilities, staff service, and provision of information—influenced passenger satisfaction. The results of the Mann–Whitney U test and Kruskal–Wallis test indicated that the factors influencing passenger satisfaction significantly varied across a passenger’s gender and age. A more in-depth and comprehensive analysis using the ordered logit model and segmentation approach proved that provision of information, comfort, staff service, and facilities were critical determiners of passenger satisfaction in most segments. Safety factors and ticketing services had no impact on overall passenger satisfaction. The findings of this research could help LRT service providers, researchers, and policymakers formulate effective strategies for enhancing passenger satisfaction and increase the ridership for LRT services.

scholarly journals Performance evaluation and alternative optimization model of light rail transit network projects: A real case perspective

2019 ◽  
Vol 46 (9) ◽  
pp. 836-846 ◽  
Author(s):  
Xin Luan ◽  
Lin Cheng ◽  
Yan Song ◽  
Chao Sun
Keyword(s):  
Decision Making ◽  
Public Transportation ◽  
Matrix Analysis ◽  
Light Rail ◽  
Rail Transit ◽  
Light Rail Transit ◽  
Assessment Index ◽  
Transit Network ◽  
Modeling Analysis ◽  
Assessment Index System

Light rail transit network is essential to the development of urban public transportation, and the aim of this study is to provide a scientific, efficient, and new methodology to measure and assess the pros and cons of various planning schemes for light rail transit (LRT) network, which can help guide the process of alternative prioritization and decision-making support. More specifically, through establishing the multi-attribute assessment index system, and pondering the combinational weighting model (consistent matrix analysis and information entropy methods), a data-driven and flexible multi-criteria matter-element decision-making (MCMEDM) model for LRT network optimization is constructed in this work. Furthermore, objectivity, impartiality, rationality, and validity of the proposed model are discussed and verified by a didactical case with real datasets in Jining, China. The modeling analysis (quantitative procedures) results and findings reveal that this approach is reliable and applicable to appraise and prioritize the LRT networks, avoiding the decision biases due to human or other factors. Additionally, the proposed framework can offer urban planners, managers, decision and policy makers the appropriate comments and suggestions of identifying the superior alternative (project), as well as serve as a guideline or reference for other cities.

scholarly journals Understanding People’s Acceptance of Light Rail Transit in Bandung and Its Determinant Factors

2019 ◽  
Vol 10 (3) ◽  
pp. 201-209
Author(s):  
Raisha Shadrina ◽  
Yuliani Dwi Lestari
Keyword(s):  
Public Transportation ◽  
Sustainable Transportation ◽  
Light Rail ◽  
Rail Transit ◽  
Successful Implementation ◽  
Survey Questionnaire ◽  
Current Transport ◽  
Light Rail Transit ◽  
Determinant Factors ◽  
Home Location

The aim of this research was to verify the readiness of Bandung people in accepting Light Rail Transit (LRT) as the new transport option. Through a survey questionnaire with various respondent backgrounds, the researchers applied statistical analysis using ANOVA to compare the acceptance between the group of gender, age, occupation, income, home location, mobility pattern, and current transport. As the extension, the research also explored the factor determining people’s priority in choosing transport and showing attributes (comfort, security and safety, exclusivity, time travel, cost, flexibility, facility, and accessibility). The result reveals that there are no differences between-group comparisons in accepting LRT as the new transport. In analyzing the determinant factors, the result shows that passengers tend to value security and comfort for their daily activities in choosing public transportation. Meanwhile, the exclusivity and facility are considered undesirable for passengers in deciding to take public transportation for travel. LRT is considered as a mode transport that provides sustainable transportation value. The readiness of passenger and market environment to the sustainable transportation option is important to maintain the successful implementation of the LRT project in Bandung.

scholarly journals LIGHT RAIL TRANSIT PUBLIC TRANSPORTATION QUEUE SYSTEM BASED ON ANDROID

2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Roy Fransisco ◽  
Budi Arifitama
Keyword(s):  
Public Transportation ◽  
Unified Modeling Language ◽  
Light Rail ◽  
Modeling Language ◽  
Rail Transit ◽  
Light Rail Transit ◽  
Queue System ◽  
Unified Modeling ◽  
Complex Problems ◽  
The People

The more advanced and the development of the era tends to create more complex problems that needs to be solved. Queueing in Indonesia is a problem that is difficult to control. LRT (Light Rail Transit) is the most recent public transportation for the people living around Northern Jakarta. Most of the people want to try this new transportation, This creates a problem where usually people tend to not queueing in line when buying tickets. The solution fot this problem is by ordering online tickets or online queues over queueing traditionally. In this study, the Designing and programming methods used C # code on visual studio which is performed as a form of validation such as validation for Login and Registering; PHP code is used to connect the database for data registrants, users, and admin; and UML (Unified Modeling Language) for designing the system and database. With this online queue, it can help overcome the problem of crowded long and congested lines at the LRT station so that it can increase the culture of the queue for mutual order to be realized.

scholarly journals From “Big Small Town” to “Small Big City”: Resident Experiences of Gentrification along Waterloo Region’s LRT Corridor

2021 ◽  
pp. 0739456X2199391
Author(s):  
Margaret Ellis-Young ◽  
Brian Doucet
Keyword(s):  
Statistical Analysis ◽  
Strong Evidence ◽  
Small Town ◽  
Light Rail ◽  
Rail Transit ◽  
Light Rail Transit ◽  
Big City ◽  
Waterloo Region

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.

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