Yaiza Maria Montero Lamas

@udc.es

Group of Railways and Transportation Engineering
University of A Coruña

Yaiza Maria Montero Lamas


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https://researchid.co/y.montero
4

Scopus Publications

37

Scholar Citations

3

Scholar h-index

2

Scholar i10-index

Scopus Publications

  • A spatial statistical approach to estimate bus stop demand using GIS-processed data
    Yaiza Montero-Lamas, Rubén Fernández-Casal, Francisco-Alberto Varela-García, Alfonso Orro, Margarita Novales
    Journal of Transport Geography, 2024
    This study integrates the fields of geography, urban transit planning, and statistical learning to develop a sophisticated methodology for predicting bus demand at the stop level. It uses a Generalized Additive Model that captures non-linear relationships and incorporates spatial dependence, improving traditional methods. It showcases a high predictive capacity with a pseudo R-squared of 0.79 during its validation, ensuring substantial explanatory power for new observations. A large number of variables, including land-use characteristics, socioeconomic factors, and transit supply, are analysed. These widely available predictors facilitate the transferability of the methodology to other urban areas. Transit supply predictor considers the number of annual trips per stop and area as well as the location of stops along the lines that serve them. GIS processing of the data allows the calculation of variables within the areas of influence of each stop, obtained by following the walkable street network. For the case study, the presence of universities, hospitals, and lodgings areas, as well as inhabitants and ratio of bus trips show a positive impact on bus demand. This geo-analysis process employs accurate disaggregated data, such as information on uses in each building, as well as methods for assigning socioeconomic information from local areas to residential buildings. This study highlights the complex relationship between the location of transit network stops, both along the bus line and in terms of geographical proximity, their transit supply, and its surrounding factors. The results indicate that there is spatial dependence for stops less than 1.15 km apart. The developed methodology provides reliable information to transit network planners for decision making. Specifically, this proposed methodology can contribute to designing new routes, optimizing stop locations, and estimating the impact of changes in the transit network or urban planning on bus demand. All these improvement measures promote sustainable urban mobility, consequently fostering environmental and social benefits.
  • A New Big Data Approach to Understanding General Traffic Impacts on Bus Passenger Delays
    Yaiza Montero-Lamas, Margarita Novales, Alfonso Orro, Graham Currie
    Journal of Advanced Transportation, 2023
    This paper presents a new method to quantify the potential user time savings if the urban bus is given preferential treatment, changing from mixed traffic to an exclusive bus lane, using a big data approach. The main advantage of the proposal is the use of the high amount of information that is automatically collected by sensors and management systems in many different situations with a high degree of spatial and temporal detail. These data allow ready adjustment of calculations to the specific reality measured in each case. In this way, we propose a novel methodology of general application to estimate the potential passenger savings instead of using simulation or analytical methods already present in the literature. For that purpose, in the first place, a travel time prediction model per vehicle trip has been developed. It has been calibrated and validated with a historical series of observations in real-world situations. This model is based on multiple linear regression. The estimated bus delay is obtained by comparing the estimated bus travel time with the bus travel time under free-flow conditions. Finally, estimated bus passenger time savings would be obtained if an exclusive bus lane had been implemented. An estimation of the passenger’s route in each vehicle trip is considered to avoid average value simplifications in this calculation. A case study is conducted in A Coruña, Spain, to prove the methodology's applicability. The results showed that 18.7% of the analyzed bus trips underwent a delay exceeding 3 min in a 2,448 m long corridor, and more than 33,000 h per year could have been saved with an exclusive bus lane. Understanding the impact of different factors on transit and the benefits of a priority bus system on passengers can help city councils and transit agencies to know which investments to prioritize given their limited budget.
  • Experimental verification of the methodology to estimate transit dwell time from the Transit Capacity and Quality of Service Manual
    Yaiza Montero-Lamas, Alfonso Orro, Margarita Novales, Graham Currie, James Reynolds
    Transportation Research Procedia, 2023
    This study compares the theoretical and actual dwell times of urban buses in A Coruña, Spain, and trams in Melbourne, Australia, to evaluate the accuracy of the Transit Capacity and Quality of Service Manual's estimations. The theoretical dwell times were calculated using a methodology based on the Manual, following the steps indicated in the provided spreadsheet. Actual dwell times were obtained through processing of video recordings and transit database. The results show that the estimated dwell time for A Coruña buses is higher than the actual time, while the theoretical estimation for Melbourne trams seems to be underestimated. The possible reasons for these differences have also been analyzed. This study identifies and suggests several possible improvements to the Manual methodology and spreadsheet, such as reconsidering default values and the application of boarding lost time within the dwell time. In addition, the passenger service time formula in the spreadsheet could be refined to more accurately reflect the Manual's description. Overall, the study provides insights into the reliability of TCQSM estimations and proposes some easily traceable and fixable changes to improve the Manual's next edition and future transit planning studies.
  • Analysis of the Relationship between the Characteristics of the Areas of Influence of Bus Stops and the Decrease in Ridership during COVID-19 Lockdowns
    Yaiza Montero-Lamas, Alfonso Orro, Margarita Novales, Francisco-Alberto Varela-García
    Sustainability Switzerland, 2022
    This study aimed to investigate the relationship between the characteristics of the areas of influence of bus stops and the decrease in ridership during COVID-19 lockdowns and subsequent initial reopening processes. A novel GIS methodology was developed to determine these characteristics from a large amount of data with high spatial detail and accurately assign them to individual bus stops. After processing the data, several multiple linear regression models were developed to determine the variables related to different activities and changes in mobility during lockdown that may explain the variation in demand owing to the COVID-19 pandemic. The characteristics related to population and land use were also studied. The proposed methodology can be used to improve transit planning during exceptional situations, by strengthening public transport in areas with a predictably higher transit demand, instead of uniformly decreasing the availability of public transport services, promoting sustainable mobility. The efficiency of the proposed methodology was shown by performing a case study that analysed the variation in bus demand in A Coruña, Spain. The areas with the highest sustained demand were those with low inhabitant incomes, a high population density, and significant proportions of land use dedicated to hospitals, offices, or supermarkets.

RECENT SCHOLAR PUBLICATIONS

  • A spatial statistical approach to estimate bus stop demand using GIS-processed data
    Y Montero-Lamas, R Fernández-Casal, FA Varela-García, A Orro, ...
    Journal of Transport Geography 118, 103906 , 2024
    2024
    Citations: 15
  • Novel data-driven modelling approaches for the analysis and enhancement of urban bus system operations and stop demand
    Y Montero-Lamas
    2024
  • Research Article A New Big Data Approach to Understanding General Traffic Impacts on Bus Passenger Delays
    Y Montero-Lamas, M Novales, A Orro, G Currie
    2023
  • Proyecto de Aprendizaje Servicio (aps) sobre la ingeniería civil como motor de la sostenibilidad integral en el ámbito del transporte: afirmado de carreteras y movilidad …
    M Novales, AR Pasandín, Y Montero-Lamas
    2023
  • Reflexiones sobre la implementación de un proyecto ApS sobre transporte sostenible
    M Novales, AR Pasandín, Y Montero-Lamas
    REDINE, Red de Investigación e Innovación Educativa , 2023
    2023
  • Metodología para la estimación de matrices de origendestino en redes complejas de autobús con tratamiento de transbordos
    A Orro, M Novales, Á Monteagudo, YMM Lamas
    XV Congreso de Ingeniería del Transporte (15º. La Laguna. 2023), 1241-1250 , 2023
    2023
  • Experimental verification of the methodology to estimate transit dwell time from the Transit Capacity and Quality of Service Manual
    YMM Lamas, A Orro, M Novales, G Currie, J Reynolds
    XV Congreso de Ingeniería del Transporte (15º. La Laguna. 2023), 905-915 , 2023
    2023
  • Experimental verification of the methodology to estimate transit dwell time from the Transit Capacity and Quality of Service Manual
    Y Montero-Lamas, A Orro, M Novales, G Currie, J Reynolds
    Transportation Research Procedia 71, 252-259 , 2023
    2023
  • A new big data approach to understanding general traffic impacts on bus passenger delays
    Y Montero-Lamas, M Novales, A Orro, G Currie
    Journal of Advanced Transportation 2023 (1), 4082587 , 2023
    2023
    Citations: 9
  • Quantification of the joint impact of internal and external variables on bus travel time in mixed traffic corridors
    Y Montero-Lamas, M Novales, A Orro
    European Transport Conference 2022 , 2022
    2022
  • Exploring factors influencing bus travel time in mixed traffic
    Y Montero-Lamas, M Novales, A Orro
    Australasian Transport Research Forum 2022 , 2022
    2022
  • Analysis of the Relationship between the Characteristics of the Areas of Influence of Bus Stops and the Decrease in Ridership during COVID-19 Lockdowns
    Y Montero-Lamas, A Orro, M Novales, FA Varela-García
    Sustainability 14 (7), 4248 , 2022
    2022
    Citations: 13
  • Relación entre tiempos de operación de autobuses urbanos y tiempos de recorrido de tráfico general
    YM Montero Lamas, M Novales Ordax, A Orro Arcay
    R-Evolucionando el transporte, 2639-2652 , 2021
    2021
  • Reordenación del área fluvial del río Grande de Xuvia
    Y Montero-Lamas
    2016

MOST CITED SCHOLAR PUBLICATIONS

  • A spatial statistical approach to estimate bus stop demand using GIS-processed data
    Y Montero-Lamas, R Fernández-Casal, FA Varela-García, A Orro, ...
    Journal of Transport Geography 118, 103906 , 2024
    2024
    Citations: 15
  • Analysis of the Relationship between the Characteristics of the Areas of Influence of Bus Stops and the Decrease in Ridership during COVID-19 Lockdowns
    Y Montero-Lamas, A Orro, M Novales, FA Varela-García
    Sustainability 14 (7), 4248 , 2022
    2022
    Citations: 13
  • A new big data approach to understanding general traffic impacts on bus passenger delays
    Y Montero-Lamas, M Novales, A Orro, G Currie
    Journal of Advanced Transportation 2023 (1), 4082587 , 2023
    2023
    Citations: 9
  • Novel data-driven modelling approaches for the analysis and enhancement of urban bus system operations and stop demand
    Y Montero-Lamas
    2024
  • Research Article A New Big Data Approach to Understanding General Traffic Impacts on Bus Passenger Delays
    Y Montero-Lamas, M Novales, A Orro, G Currie
    2023
  • Proyecto de Aprendizaje Servicio (aps) sobre la ingeniería civil como motor de la sostenibilidad integral en el ámbito del transporte: afirmado de carreteras y movilidad …
    M Novales, AR Pasandín, Y Montero-Lamas
    2023
  • Reflexiones sobre la implementación de un proyecto ApS sobre transporte sostenible
    M Novales, AR Pasandín, Y Montero-Lamas
    REDINE, Red de Investigación e Innovación Educativa , 2023
    2023
  • Metodología para la estimación de matrices de origendestino en redes complejas de autobús con tratamiento de transbordos
    A Orro, M Novales, Á Monteagudo, YMM Lamas
    XV Congreso de Ingeniería del Transporte (15º. La Laguna. 2023), 1241-1250 , 2023
    2023
  • Experimental verification of the methodology to estimate transit dwell time from the Transit Capacity and Quality of Service Manual
    YMM Lamas, A Orro, M Novales, G Currie, J Reynolds
    XV Congreso de Ingeniería del Transporte (15º. La Laguna. 2023), 905-915 , 2023
    2023
  • Experimental verification of the methodology to estimate transit dwell time from the Transit Capacity and Quality of Service Manual
    Y Montero-Lamas, A Orro, M Novales, G Currie, J Reynolds
    Transportation Research Procedia 71, 252-259 , 2023
    2023
  • Quantification of the joint impact of internal and external variables on bus travel time in mixed traffic corridors
    Y Montero-Lamas, M Novales, A Orro
    European Transport Conference 2022 , 2022
    2022
  • Exploring factors influencing bus travel time in mixed traffic
    Y Montero-Lamas, M Novales, A Orro
    Australasian Transport Research Forum 2022 , 2022
    2022
  • Relación entre tiempos de operación de autobuses urbanos y tiempos de recorrido de tráfico general
    YM Montero Lamas, M Novales Ordax, A Orro Arcay
    R-Evolucionando el transporte, 2639-2652 , 2021
    2021
  • Reordenación del área fluvial del río Grande de Xuvia
    Y Montero-Lamas
    2016