The Impact of a Bus Rapid Transit System on Commutersʼ Exposure to Air Pollutants in Mexico City

Epidemiology ◽  
2006 ◽  
Vol 17 (Suppl) ◽  
pp. S54
Author(s):  
Henry Wöhrnschimmel ◽  
Miriam Zuk ◽  
Gerardo Martínez ◽  
Julia Cerón ◽  
Leonora Rojas Bracho ◽  
...  
2008 ◽  
Vol 42 (35) ◽  
pp. 8194-8203 ◽  
Author(s):  
Henry Wöhrnschimmel ◽  
Miriam Zuk ◽  
Gerardo Martínez-Villa ◽  
Julia Cerón ◽  
Beatriz Cárdenas ◽  
...  

2019 ◽  
Vol 202 ◽  
pp. 117-127 ◽  
Author(s):  
R. Morales Betancourt ◽  
B. Galvis ◽  
J.M. Rincón-Riveros ◽  
M.A. Rincón-Caro ◽  
A. Rodriguez-Valencia ◽  
...  

Author(s):  
Mintesnot Woldeamanuel ◽  
Craig Olwert

A multimodality index (MI) is developed to evaluate the accessibility and convenience of transit use by investigating the connectivity of a Bus Rapid Transit (BRT) with other modes of travel. Better connected stations increase transit system ridership, resulting in environmental and social equity gains. The integration of the Orange Line BRT system in Los Angeles with other travel modes, including bicycles, pedestrians, regular buses, and private automobiles, was analyzed using field observations and LA Metro data to create a multimodality index (MI). While multimodal connectivity of the Orange Line BRT system varies across stations, a positive relationship exists between ridership and the MI, indicating that the MI is a reliable predictor of transit ridership and a useful tool for transit planning.


2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Jaspe U. Martínez-González ◽  
Alejandro P. Riascos

AbstractIn this paper, we analyze a massive dataset with registers of the movement of vehicles in the bus rapid transit system Metrobús in Mexico City from February 2020 to April 2021. With these records and a division of the system into 214 geographical regions (segments), we characterize the vehicles’ activity through the statistical analysis of speeds in each zone. We use the Kullback–Leibler distance to compare the movement of vehicles in each segment and its evolution. The results for the dynamics in different zones are represented as a network where nodes define segments of the system Metrobús and edges describe similarity in the activity of vehicles. Community detection algorithms in this network allow the identification of patterns considering different levels of similarity in the distribution of speeds providing a framework for unsupervised classification of the movement of vehicles. The methods developed in this research are general and can be implemented to describe the activity of different transportation systems with detailed records of the movement of users or vehicles.


2016 ◽  
Vol 6 (3) ◽  
pp. 123-134 ◽  
Author(s):  
Yohen Cuéllar ◽  
Rodrigo Buitrago Tello ◽  
Luis Carlos Belalcazar Ceronn

2021 ◽  
Vol 13 (8) ◽  
pp. 4437
Author(s):  
Sitti Asmah Hassan ◽  
Intan Nurfauzirah Shafiqah Hamzani ◽  
Abd. Ramzi Sabli ◽  
Nur Sabahiah Abdul Sukor

Bus rapid transit (BRT) is one of the strategies to promote improvements in urban mobility. In this study, BRT scenarios, which integrate exclusive bus lanes and bus priority signal control in mixed traffic scenarios, were modelled using a VISSIM microsimulation. Three scenarios of BRT were modelled to represent 16:84, 38:62 and 54:46 modal splits between public transport and private vehicles. It was found that Scenario 4 (the 54:46 scenario) offers better benefits in terms of delay time saving and economic benefits. In general, it was found that the BRT system enhances the functioning of the transport system and provides people with faster and better mobility facilities, resulting in attractive social and economic benefits, especially on a higher modal split of public transport. It is regarded as one strategy to alleviate traffic congestion and reduce dependency on private vehicles. The finding of this study provides an insight on the effective concept of the BRT system, which may promote the dissemination of an urban mobility solution in the city. The results can help policymakers and local authorities in the management of a transport network in order to ensure reliable and sustainable transport.


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