Browsing by Author "Vallejo-Borda, Jose Agustin"

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    Characterising public transport shifting to active and private modes in South American capitals during the COVID-19 pandemic
    (2022) Vallejo-Borda, Jose Agustin; Giesen, Ricardo; Basnak, Paul; Reyes, Jose P.; Lira, Beatriz Mella; Beck, Matthew J.; Hensher, David A.; Ortuzar Salas, Juan De Dios; CEDEUS (Chile)
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    Do attitudes and perceptions help to explain cycling infrastructure quality of service?
    (2020) Vallejo-Borda, Jose Agustin; Rosas-Satizabal, Daniel; Rodriguez-Valencia, Alvaro
    Many approaches have been developed to assess the performance or Quality of Service (QoS) rendered by cycling infrastructure. The most common methodologies (Level of Service/Level of Traffic Stress) do not consider user inputs. In other disciplines, user perceptions constitute a powerful tool that can help improve and tailor designs. This study was intended to explore the effect of cyclists' attitudes and perceptions on the perceived QoS of different cycling infrastructures using Structural Equation Modeling (SEM). The SEM model was developed using cyclist surveys applied at 16 locations comprising all typologies of cycling infrastructure in Bogota, Colombia. We found that user attitudes and perceptions of tangible (e.g., pavement) and intangible attributes (e.g., enjoyment) can explain cyclists' QoS. The results lead to a better understanding of typical Global South cyclist perceptions when riding, and provide an accurate tool with which to improve cycling infrastructure QoS from a cyclist perspective.
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    Modeling the COVID-19 Travel Choices in Colombia and India: A Hybrid Multiple Discrete-Continuous Nested Extreme Value Approach
    (2023) Vallejo-Borda, Jose Agustin; Bhaduri, Eeshan; Ortiz-Ramirez, Hernan Alberto; Arellana, Julian; Choudhury, Charisma F.; Rodriguez-Valencia, Alvaro; Wadud, Zia; Goswami, Arkopal K.
    The COVID-19 pandemic has affected many daily activities, primarily as a result of the perceived contagion risk and government restrictions to mitigate the spread of the virus. To this end, drastic changes in the trip choices for commuting to work have been reported and studied, mostly through descriptive analysis. On the other hand, modeling-based research that can simultaneously understand both changes in mode choice and its frequency at an individual level has not been much used in existing studies. As such, this study aims to understand the changes in mode-choice preference and the frequency of trips, comparing pre-COVID with during-COVID scenarios, in two different countries of the Global South: Colombia and India. A hybrid multiple discrete-continuous nested extreme value model was implemented using the data obtained from online surveys in Colombia and India during the early COVID-19 period of March and April 2020. This study found that, in both countries, utility related to active modes (more used) and public transportation (less used) changed during the pandemic. In addition, this study highlights potential risks in likely unsustainable futures where there may be increased use of private vehicles such as cars and motorcycles, in both countries. It was also identified that perceptions toward government responses had a significant impact on the choices in Colombia, though this was not the case in India. These results may help decision makers focus on public policies to encourage sustainable transportation by avoiding the detrimental long-term behavioral changes resulting from the COVID-19 pandemic.
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    Towards an enriched framework of service evaluation for pedestrian and bicyclist infrastructure: acknowledging the power of users' perceptions
    (2022) Rodriguez-Valencia, Alvaro; Vallejo-Borda, Jose Agustin; Barrero, German A.; Ortiz-Ramirez, Hernan Alberto
    More and more cities worldwide are striving for sustainability and livability. Measuring the service or performance of local-scale spaces for pedestrians and bicyclists to better understand how to provide "walkable" and "bikeable" environments is key in this endeavor to enhance active transportation. These pedestrian and bicycle service or performance indicators, such as Level of Traffic Stress or Level of Service, relate measurable characteristics with a perceived proxy of the performance or service, such as comfort, satisfaction, or quality of service (QoS). The purpose of this study is to propose and validate a framework that integrates user-oriented inputs to the existing traditional supply-oriented variables to explain the QoS in segment roadways in urban environments for active modes. The conceptual framework underlying this study considers the contribution of individual perceptions, in addition to the traditionally considered operational and geometry variables, to explain the perceived QoS of pedestrian and bicyclist infrastructure. The framework is tested via two separate and independent surveys for pedestrians and bicyclists. Evidence determined the relative importance of these supply-oriented and user-oriented factors to explain the QoS. The superior explanatory power of the perception variables and in terms of the variables that explain the individuals' perceived QoS justify the framework for both pedestrians and bicyclists.
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    Understanding transit user satisfaction with an integrated bus system
    (2022) Rodriguez-Valencia, Alvaro; Ortiz-Ramirez, Hernan Alberto; Simancas, Willis; Vallejo-Borda, Jose Agustin
    Understanding the factors and drivers of user satisfaction with public transportation (PT) systems has been a subject of research for decades, as it provides insight into influencing ridership increases. This research addresses user satisfaction using SEM-MIMIC models to analyze three PT bus subsystems in the same city (Bogota Colombia): A Bus Rapid Transit, a formalized bus subsystem, and a semi-formalized one that operates simultaneously. After developing three independent models, we found the same three latent variables (LVs), namely subsystems "condition", "service", and "safety/security", in each one. However, the strength and significance of the direct and indirect effects among the three LVs vary from one subsystem to another. In general, satisfaction is initially based on a person's perception of the subsystem's condition and ends with his/her perception of the service, with safety and service being the mediating variables to explain satisfaction. Unlike previous studies, we were able to identify relationships among these three independent variables for each subsystem, allowing us to assess the direct and indirect effects on overall subsystem satisfaction. This research provides decision-makers with a broader understanding of how infrastructure, vehicles, operational attributes, and regulation processes influence user satisfaction through perceptions and how they can help improve the PT service for its users.