Browsing by Author "Fukushi, Mitsuyoshi"

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    Built Environment Effect on Metro Ridership in Metropolitan Area of Valparaíso, Chile, under Different Influence Area Approaches
    (2024) Aprigliano, Vicente; Seriani, Sebastian; Toro, Catalina; Rojas, Gonzalo; Fukushi, Mitsuyoshi; Cardoso, Marcus; Silva, Marcelino Aurelio Vieira da; Cucumides, Cristo; de Oliveira, Ualison Rebula; Henriquez, Cristian; Braun, Andreas; Hochschild, Volker; CEDEUS (Chile)
    The growing relevance of promoting a transition of urban mobility toward more sustainable modes of transport is leading to efforts to understand the effects of the built environment on the use of railway systems. In this direction, there are challenges regarding the creation of coherence between the locations of metro stations and their surroundings, which has been explored extensively in the academic community. This process is called Transit-Oriented Development (TOD). Within the context of Latin America, this study seeks to assess the influence of the built environment on the metro ridership in the metropolitan area of Valpara & iacute;so, Chile, testing two approaches of influence area definition, one of which is a fixed distance from the stations, and the other is based on the origin and destination survey of the study area. The analysis is based on Ordinary Least Squares regression (OLS) to identify the factors from the built environment, which affects the metro's ridership. Results show that the models based on the area of influence defined through the use of the origin and destination survey explain the metro ridership better. Moreover, this study reveals that the metro system in Greater Valpara & iacute;so was not planned in harmony with urban development. The models demonstrate an inverse effect of the built environment on ridership, contrasting with the expected outcomes of a metro station designed following a Transit-Oriented Development approach.
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    Discrete Choice Model Applications for Air Passenger Airport Choices: A Literature Review
    (2024) Fukushi, Mitsuyoshi; Delgado Breinbauer, Felipe Alberto; Raveau Feliú, Sebastián
    Airport development is a critical factor for regional growth, improving connectivity, and stimulating economic growth. Considering the complexity of planning and policy making in this area, multiple models and frameworks have been introduced to support decision-making processes. Among these, Discrete Choice Models (DCM) stand out for their capacity to project market flows, assess the validity and benefits of implementing airport modifications, tailor policies, improve the operations' service level, and boost revenues. Given their extensive use and importance, a thorough review of DCM applications within the context of air transportation is both timely and necessary. This review organizes and evaluates the use of DCMs in air transport research. Both descriptive and predictive applications of DCMs are analyzed, focusing on choices related to airports and related levels, such as access mode and airline decisions. Each reviewed study is classified based on the type of model used, application context, data characteristics, employed variables, and methodological contributions. Through this analysis, six prevailing gaps are identified in the current state of DCM application in air transportation: improve data quality, enhance models with detailed trip and passenger information, explore advanced modeling techniques, incorporate general correlation and substitution structures, consider non-compensatory decision-making processes, and extend applications to new geographic and temporal contexts.
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    Impact of omitted variable and simultaneous estimation endogeneity in choice-based revenue management systems
    (2024) Fukushi, Mitsuyoshi; Delgado, Felipe; Raveau, Sebastian
    The demand models used in revenue management systems applied to air transport are affected by endogeneity. This effect is particularly important in the Discrete Choice Models used in Choice Based Revenue Management (CBRM). Still, the sources and the magnitude of the problem have not been completely studied. In this study, we use simulations to analyze the effect of endogeneity in CBRM air transport applications. We replicate different conditions that generate endogeneity described in the literature: the omission of explanatory variables in the behavioral model and the simultaneous determination between fares and demand. On the one hand, results show that simultaneous determination endogeneity is not a concern if the behavioral model includes complete information of the process, without omitting variables. On the other hand, endogeneity affects the estimation and application of CBRM when variables are omitted, a situation that worsens when the omission of variables is combined with the simultaneous determination between fares and demand. Based on these results, we discuss some practical implications and derive some recommendations for the use of CBRM in air transport.