Understanding Platform Overcrowding at Bus Rapid Transit Stations

2015 ◽  
Vol 2533 (1) ◽  
pp. 118-123 ◽  
Author(s):  
Nicolae Duduta ◽  
Asis Subedi

Platform overcrowding is a very common but relatively poorly understood occurrence at most bus rapid transit (BRT) systems in cities in the developing world. Most literature on BRT capacity focuses on vehicle throughput for different types of lane and station configurations; relatively little is known about how different station layouts handle specific volumes of boarding and alighting passengers. In this paper, this gap in knowledge was addressed by building a microscopic simulation model to test the ability of a typical Latin American BRT station (median, high-platform, one bus bay per direction) to handle various volumes of passengers under different scenarios. With this modeling exercise, areas in a station most likely to experience overcrowding were first identified: the median refuge island at the main entrance and the turnstiles. The station performance at those critical points was then evaluated for different passenger volumes, with mainly pedestrian density (persons/m2) as an indicator. Results indicated a pedestrian capacity range for a typical BRT station and also quantified the effect of friction between pedestrians entering and leaving the station. Finally, a regression based on the simulation results was estimated and used to develop a predictive equation for crowding as a function of passenger volumes and direction. The results can help BRT planners better adapt their station designs to forecast passenger volumes and ensure that they provide an adequate level of service.

Author(s):  
Carmen Vásquez ◽  
Rodrigo Ramírez-Pisco ◽  
Amelec Viloria ◽  
David Martínez Sierra ◽  
Erika Ruiz-Barrios ◽  
...  

2021 ◽  
Vol 23 (2) ◽  
Author(s):  
Yueying Huo ◽  
Jinhua Zhao ◽  
Xiaojuan Li ◽  
Chen Guo

The concept of level of service (LOS) is meant to reflect user perception of the quality of service provided by a transportation facility or service. Although the LOS of bus rapid transit (BRT) has received considerable attention, the number of levels of service of BRT that a user can perceive still remains unclear. Therefore, in this paper, we address this issue using fuzzy clustering of user perception. User perception is defined as a six-dimension vector of the perceived arrival time, perceived waiting time, bus speed perception, passenger load perception, perceived departure time, and overall perception. A smartphone-based transit travel survey system was developed, with which user perception surveys were conducted in three BRT systems in China. Fuzzy C-Means clustering, improved using a simulated annealing genetic algorithm, was adopted to partition user perception into two to ten clusters. Seven cluster validity indices were used to determine the appropriate number of LOS categories. Our results indicate that users can perceive two to four levels of service.


2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Yueying Huo ◽  
Jianrong Liu ◽  
Jian Zhang ◽  
Xiaojuan Li

Level of service (LOS) analysis based on LOS criteria is essential for the planning, design, and operational evaluation of public transit. However, there are no systematic transit LOS criteria at present in China. Bus rapid transit (BRT) is receiving increasing attention worldwide. Therefore, this study addresses LOS criteria for BRT in China. Transit passengers are heterogeneous in their perceptions, needs, and behavior. The traditional hard LOS criteria have an inherent weakness, because of which the accuracy of an LOS analysis is limited. Thus, in this study, we initially conducted transit market segmentation to reduce heterogeneity and subsequently developed BRT fuzzy LOS criteria for different passenger groups. Using a smartphone-based transit travel survey system, we organized BRT passenger travel surveys on three BRT systems in China to collect data. Transit market segmentation was performed based on user perceptions; passengers were segmented into a calm passenger group and an anxious passenger group using the latent class model. Passenger arrival time, passenger wait time, and running speed of the bus were selected as service metrics to reflect the BRT’s LOS. BRT fuzzy LOS criteria for the three service metrics in the case of both the calm and anxious passenger groups were developed using fuzzy C-means clustering. The LOS criteria for the two groups of passengers fit their psychological characteristics and reflected their personalized travel needs. Fuzzy LOS criteria can describe to what extent service metric values belong to the adjacent LOS categories via the use of membership. Thus, fuzzy LOS criteria can overcome the weakness of hard LOS criteria.


2020 ◽  
Author(s):  
Fariha Azalea

The study examines Bus Rapid Transit (BRT) users’ perspicacity in Lagos, Nigeria along Ikorodu-Mile12 Bus Rapid Transit (BRT) corridor in order to guide, provide information for policies and decision makers during policies formulation. This study assesses the socio-economic character of passengers using the primer transport service along Ikorodu-Mile 12 BRT corridor; analysed the travel behavior of commuters using the primero transport service in the study area and examine the commuters’ perspicacity and expectation on the level of service quality provided by Primero Transport Service. A total of three hundred ninety-four (394) commuters (one commuter per bus) who go back and forth through the buses were sampled. Perception and expectation about service were asked. The result of factor analysis found that commuters were satisfy with the service offer by Primero, physical appearance, level of clean, mode of operation and level of service deliver by Primero transport services.


2021 ◽  
Vol 13 (24) ◽  
pp. 13904
Author(s):  
Gabriela Ochoa-Covarrubias ◽  
Carlos González-Figueredo ◽  
Hugo DeAlba-Martínez ◽  
Alejandro L. Grindlay

The protection of pedestrians, cyclists, and public transportation passengers from environmental pollution is a global concern. This study fills the gap in the existing knowledge of temporal exposure to air pollution in Latin American metropolises. The paper proposes a methodology addressing the relationship between two objects of study, i.e., the users of active modes of transport and air quality. This new methodology assesses the spatiotemporal concurrence of both objects with statistical analysis of large open-access databases, to promote healthy and sustainable urban mobility. The application of the empirical methodology estimated the number of users of active transportation modes exposed to poor air quality episodes in the Guadalajara metropolitan area (Mexico) in 2019. The study considered two pollutants, ozone (O3) and particulate matter (PM10), and two active modes, cycling and bus rapid transit (BRT). Spatiotemporal analyses were carried out with geographic information systems, as well as with numeric computing platforms. First, big data were used to count the number of users for each mode within the area of influence of the air quality monitoring stations. Second, the number of air pollution episodes was obtained using the air quality index proposed by the Environmental Protection Agency (USA) on an hourly basis. Third, the spatiotemporal concurrence between air quality episodes and active mode users was calculated. In particular, the air quality monitoring data from the Jalisco Atmospheric Monitoring System were compared to users of the public bicycle share system, known as MiBici, and of a bus rapid transit line, known as Mi Macro Calzada. The results showed that the number of cyclists and BRT passengers exposed to poor air quality episodes was considerable in absolute terms, that is, 208,660 users, while it was marginal when compared to the total number of users exposed to better air quality categories in the study area, who represented only 10%. To apply the results at the metropolitan scale, the spatial distribution of the air quality monitoring system should be improved, as well as the availability of data on pedestrians and conventional bus passengers.


2021 ◽  
Vol 13 (12) ◽  
pp. 6611
Author(s):  
Paola Andrea Cruz-Daraviña ◽  
Iván Sánchez-Díaz ◽  
Juan Pablo Bocarejo Suescún

This paper assesses the effects on urban freight transportation of implementing Bus Rapid Transit (BRT) systems. BRT systems have been widely implemented in Latin American cities in recent decades, with positive results driven by their high capacity and relatively low cost. Implementing BRT strategic corridors has led to changes in land use, and has required some restrictions on other urban traffic, particularly freight. These restrictions have significantly affected the supply of goods to establishments along those corridors, restricting freight operations and urban freight traffic in general. This paper studies the overall effects of BRT system implementation on urban freight using Cali (Colombia) as a representative case study to understand the origin and size of these impacts. Six key criteria were analyzed to assess the impacts of implementing a BRT system: 1. Mobility patterns; 2. environmental impacts; 3. infrastructure; 4. land-use; 5. legislation; and 6. geographic distribution. Observations and semi-structured interviews were used to complement hard data. The results from Cali show that the areas surrounding BRT corridors generate more than 62% of urban freight traffic. This concentration of freight activity has exacerbated the negative effects of restrictions that have accompanied BRT implementation and altered freight mobility and land-use patterns, not only locally but within the city centre, as well as suburban areas. In summary, the results show that post implementation, a significant share of freight-related externalities were amplified and transferred from BRT corridors to other parts of the city and to inter-regional corridors as well.


Author(s):  
Mirna Lusiani ◽  
William William

Public transportation plays an important role in meeting people's needs for traveling. In a big city like DKI Jakarta, public transportation plays an important role in supporting the daily activities of its people. Transjakarta is one of the mass public transportation (bus rapid transit) provided by the local government for the community. One of the corridors that have the highest number of passengers is corridor 1 which serves the Blok M - Kota route. The problem that occurs is the irregularity in the scheduling system and the operation of the buses which are considered to be less than optimal, as a result, many buses are idle or buses travel but only carry a few passengers, especially during peak hours on weekdays. To solve this problem, it is necessary to conduct research that regulates the scheduling of bus arrivals at peak hours to serve a large number of passengers. The method used in this research is a simulation by determining the headway timing and determining the number of buses to operate as optimally as possible. The proposed simulation is made of 3 new scenarios and 1 proposed scenario for real-time conditions. Based on the simulation results, the determination of the headway time of 9 minutes between arrivals and 13 buses used during rush hour, from the previous one with a headway time of 4 minutes between arrivals, but the buses used are 30 buses during peak hours. This proposal given is to save bus usage and maximize the utility of the bus.


Sign in / Sign up

Export Citation Format

Share Document