Marco Amorim - Academia.edu (original) (raw)
Uploads
Papers by Marco Amorim
In this study we conduct a large survey (n=6,405) on urban daily commuters in four European count... more In this study we conduct a large survey (n=6,405) on urban daily commuters in four European countries (Germany, the United Kingdom, Poland, and the Czech Republic), we add richness to our understanding of who will use Mobility-as-a-Service (MaaS) options and what relationship MaaS has with public transit in terms of choosing how to travel. We explored how sensitive participants were to changes in pricing and travel times, and also examined how likely different kinds of participants, grouped into segments (user groups) with similar characterizes, were to public transportation, MaaS, or private cars. We concluded that the basic mobility factors such as price and travel time can increase the likelihood of using a certain option, as we notably observed in the “Unspecified Users” group. Our complex approach, combining several mathematical modelling tools, provided insight into the choices people make into choosing among different travel options, and our findings may be leveraged by decis...
Travel Behaviour and Society, 2022
Procedia - Social and Behavioral Sciences, 2014
The Deliverable describes the development within the LIVE project of a methodology for the record... more The Deliverable describes the development within the LIVE project of a methodology for the record linkage between police data and hospital data, using the case study of the Porto region, Portugal. The importance of this process is well recognized by institutions such as IRTAD (OECD/ITF) that are promoting the combination of various data sources to fully assess the consequences of road accidents and monitoring progress. The complexity of this process is mainly concerned with several issues found in the data sets; mistakes and missing values are frequently detected and there are only a few common data fields that can be matched by the linkage process. LIVE D1
This paper presents a new approach to optimize the implementation of electronic toll collection (... more This paper presents a new approach to optimize the implementation of electronic toll collection (ETC) in existing freeways according to the macroeconomic situation. A macroscopic decision model that predicts drivers’ decision on using a tolled segment or the fastest alternative route and an optimization model that sets the price and location of toll gantries along the freeway work together to provide practitioners a valuable tool oriented to maximize the toll revenue of the entire infrastructure. Model calibrations were made using the case study of Portuguese freeway concessions, eight for the route decision model and one for the optimization model, which started being tolled in 2010 as a consequence of the country’s debt crisis. Despite a special focus has been placed on scenarios of economic downturn, the tool allows making explanatory analyses for other situations through the consideration of the gross domestic product (GDP) growth. The results show that different optimal ETC con...
Besides fatalities, road traffic crashes also cause a large number of nonfatal injuries with a hi... more Besides fatalities, road traffic crashes also cause a large number of nonfatal injuries with a high impact on economic and human costs to society. In order to allow a deep knowledge of the nonfatal ...
A solid emergency medical service response is important to saving lives. Most past studies are ho... more A solid emergency medical service response is important to saving lives. Most past studies are however focused on the effect of response time on fatalities resulting from cardiac arrest and fewer from traffic crash. The present study aims to present an extensive analysis of the impact of prehospital time on traffic injuries covering two perspectives: hospital fatalities and victims recovery. The former is described by the probability of death, and the second is measured by two proxy variables named “length of hospital stay” (LHS) and “health care costs” (HCC). A binary model was used to analyze the probability of death and generalized linear models were applied separately to the LHS and HCC continuous variables. The random-parameter approach was considered. A linked data set, resulting from a linkage process between hospital and police data sets, was used. The results showed that the effect of prehospital time varies across observations and is positively correlated to LHS and HCC. C...
Journal of Advanced Transportation
Most of the existing operating speed statistical models are applicable to individual design eleme... more Most of the existing operating speed statistical models are applicable to individual design elements, particularly horizontal curves and tangents. A segment approach to operating speed has rarely been followed, with a few exceptions mainly related to the performance assessment of urban and freeway corridors, or design consistency studies using speed profiles built from successive design elements. This study introduces a new model to predict operating speeds in segments of two-lane highways. The maximum operating speed is given by a stochastic frontier function of the average daily traffic and road geometrics; the asymmetric disturbance accounts for the diversity in drivers’ behaviour and vehicle characteristics, allowing estimating any percentile speed. The model was calibrated using probe vehicle data from noncongested roads. The accuracy of the average daily traffic in representing the actual driving conditions was further validated using simultaneous speed-traffic measurements. T...
Journal of Transport & Health
In this study we conduct a large survey (n=6,405) on urban daily commuters in four European count... more In this study we conduct a large survey (n=6,405) on urban daily commuters in four European countries (Germany, the United Kingdom, Poland, and the Czech Republic), we add richness to our understanding of who will use Mobility-as-a-Service (MaaS) options and what relationship MaaS has with public transit in terms of choosing how to travel. We explored how sensitive participants were to changes in pricing and travel times, and also examined how likely different kinds of participants, grouped into segments (user groups) with similar characterizes, were to public transportation, MaaS, or private cars. We concluded that the basic mobility factors such as price and travel time can increase the likelihood of using a certain option, as we notably observed in the “Unspecified Users” group. Our complex approach, combining several mathematical modelling tools, provided insight into the choices people make into choosing among different travel options, and our findings may be leveraged by decis...
Travel Behaviour and Society, 2022
Procedia - Social and Behavioral Sciences, 2014
The Deliverable describes the development within the LIVE project of a methodology for the record... more The Deliverable describes the development within the LIVE project of a methodology for the record linkage between police data and hospital data, using the case study of the Porto region, Portugal. The importance of this process is well recognized by institutions such as IRTAD (OECD/ITF) that are promoting the combination of various data sources to fully assess the consequences of road accidents and monitoring progress. The complexity of this process is mainly concerned with several issues found in the data sets; mistakes and missing values are frequently detected and there are only a few common data fields that can be matched by the linkage process. LIVE D1
This paper presents a new approach to optimize the implementation of electronic toll collection (... more This paper presents a new approach to optimize the implementation of electronic toll collection (ETC) in existing freeways according to the macroeconomic situation. A macroscopic decision model that predicts drivers’ decision on using a tolled segment or the fastest alternative route and an optimization model that sets the price and location of toll gantries along the freeway work together to provide practitioners a valuable tool oriented to maximize the toll revenue of the entire infrastructure. Model calibrations were made using the case study of Portuguese freeway concessions, eight for the route decision model and one for the optimization model, which started being tolled in 2010 as a consequence of the country’s debt crisis. Despite a special focus has been placed on scenarios of economic downturn, the tool allows making explanatory analyses for other situations through the consideration of the gross domestic product (GDP) growth. The results show that different optimal ETC con...
Besides fatalities, road traffic crashes also cause a large number of nonfatal injuries with a hi... more Besides fatalities, road traffic crashes also cause a large number of nonfatal injuries with a high impact on economic and human costs to society. In order to allow a deep knowledge of the nonfatal ...
A solid emergency medical service response is important to saving lives. Most past studies are ho... more A solid emergency medical service response is important to saving lives. Most past studies are however focused on the effect of response time on fatalities resulting from cardiac arrest and fewer from traffic crash. The present study aims to present an extensive analysis of the impact of prehospital time on traffic injuries covering two perspectives: hospital fatalities and victims recovery. The former is described by the probability of death, and the second is measured by two proxy variables named “length of hospital stay” (LHS) and “health care costs” (HCC). A binary model was used to analyze the probability of death and generalized linear models were applied separately to the LHS and HCC continuous variables. The random-parameter approach was considered. A linked data set, resulting from a linkage process between hospital and police data sets, was used. The results showed that the effect of prehospital time varies across observations and is positively correlated to LHS and HCC. C...
Journal of Advanced Transportation
Most of the existing operating speed statistical models are applicable to individual design eleme... more Most of the existing operating speed statistical models are applicable to individual design elements, particularly horizontal curves and tangents. A segment approach to operating speed has rarely been followed, with a few exceptions mainly related to the performance assessment of urban and freeway corridors, or design consistency studies using speed profiles built from successive design elements. This study introduces a new model to predict operating speeds in segments of two-lane highways. The maximum operating speed is given by a stochastic frontier function of the average daily traffic and road geometrics; the asymmetric disturbance accounts for the diversity in drivers’ behaviour and vehicle characteristics, allowing estimating any percentile speed. The model was calibrated using probe vehicle data from noncongested roads. The accuracy of the average daily traffic in representing the actual driving conditions was further validated using simultaneous speed-traffic measurements. T...
Journal of Transport & Health