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Dr. Carmen Forciniti
Department of Civil Engineering, University of Calabria, Rende, 87036, Italy

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Research Keywords & Expertise

0 Behavioral Modeling
0 Cycling
0 Public Transport
0 Road Safety
0 Service Quality

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Service Quality
Public Transport
Road Safety
Sustainable mobility
Air transport
Cycling
Spatial Analysis
Walking
Driving behavior
Land use–transport

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Journal article
Published: 09 June 2020 in Sustainability
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As the competition between airlines grows, their customer-centered strategies are becoming increasingly popular. In this context, the marketing strategies are the result of investigations carried out directly on users, usually through the Customer Satisfaction Surveys. Investigating on airline passengers’ preferences represents a useful action to pursue the most convenient strategy for increasing their satisfaction and improving the provided service. With this aim, we propose the design of a Stated Preference survey and the preliminary outcomes obtained from the analysis and modelling of the collected data. A deep study of the literature review drove us to consider the land services separately from the air ones. Even if the travel experience of an airline passenger starts at the airport, only the services provided by the airlines are the object of this study. The Stated Preference survey was designed with the aim to capture the passengers’ desires on airlines’ services by proposing hypothetical scenarios to them. The survey was addressed to the whole population of the University of Calabria (Italy). A sample of 1907 survey responses was obtained. For analyzing the collected data, discrete choice models have been calibrated to obtain the weights assigned by users to each service quality aspect included in the experiment.

ACS Style

Maria Grazia Bellizzi; Luigi Dell’Olio; Laura Eboli; Carmen Forciniti; Gabriella Mazzulla. Passengers’ Expectations on Airlines’ Services: Design of a Stated Preference Survey and Preliminary Outcomes. Sustainability 2020, 12, 1 .

AMA Style

Maria Grazia Bellizzi, Luigi Dell’Olio, Laura Eboli, Carmen Forciniti, Gabriella Mazzulla. Passengers’ Expectations on Airlines’ Services: Design of a Stated Preference Survey and Preliminary Outcomes. Sustainability. 2020; 12 (11):1.

Chicago/Turabian Style

Maria Grazia Bellizzi; Luigi Dell’Olio; Laura Eboli; Carmen Forciniti; Gabriella Mazzulla. 2020. "Passengers’ Expectations on Airlines’ Services: Design of a Stated Preference Survey and Preliminary Outcomes." Sustainability 12, no. 11: 1.

Journal article
Published: 25 April 2020 in Transportation Research Procedia
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Nowadays, road safety is an issue particularly relevant because of the increasing occurrence of road accidents. For this reason, it is very important to analyze accident severity and the factors influencing it. This paper aims to investigate on the characteristics that can influence the severity of an accident by distinguishing between the various types of accident (e.g. front/side collision, rear-end collision). The included related factors were grouped in different categories referring to road, external environment, and driver. The proposed analysis has the specific objective to discover the possible differences between accidents severity expressed through information such as the number of dead or injured persons in terms of factors influencing the various crash types. The method proposed to this aim is the logistic regression, which is able to determine the weight of each factor involved in the analysis on accident severity. The emerging results suggest that there are interesting differences between accidents type. The findings show that logistic regression as used in this research is a capable tool in providing significant interpretations that can be used for future safety improvements in Italy.

ACS Style

Laura Eboli; Carmen Forciniti; Gabriella Mazzulla. Factors influencing accident severity: an analysis by road accident type. Transportation Research Procedia 2020, 47, 449 -456.

AMA Style

Laura Eboli, Carmen Forciniti, Gabriella Mazzulla. Factors influencing accident severity: an analysis by road accident type. Transportation Research Procedia. 2020; 47 ():449-456.

Chicago/Turabian Style

Laura Eboli; Carmen Forciniti; Gabriella Mazzulla. 2020. "Factors influencing accident severity: an analysis by road accident type." Transportation Research Procedia 47, no. : 449-456.

Journal article
Published: 03 February 2020 in Journal of Air Transport Management
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Service quality of the airline industry is still unexplored, if compared to the public transport service quality literature. In this paper, we propose an analysis of the services provided by an Italian airport based on an SEM approach. Specifically, we propose a SEM-MIMIC ordinal Probit capturing the heterogeneity in perceptions of air transport passengers and identify groups of passengers with similar assessments of the services. Results suggest the presence of four constructs affecting the overall satisfaction at the terminal, namely information, control, environment, and food service. Results also suggest that there are two different user-types: accessory user (who uses ticket office, luggage trolleys, and escalator lifts), and technology user (who uses charging stations, airport website, and airport wi-fi).

ACS Style

Jaime Allen; Maria Grazia Bellizzi; Laura Eboli; Carmen Forciniti; Gabriella Mazzulla. Service quality in a mid-sized air terminal: A SEM-MIMIC ordinal probit accounting for travel, sociodemographic, and user-type heterogeneity. Journal of Air Transport Management 2020, 84, 101780 .

AMA Style

Jaime Allen, Maria Grazia Bellizzi, Laura Eboli, Carmen Forciniti, Gabriella Mazzulla. Service quality in a mid-sized air terminal: A SEM-MIMIC ordinal probit accounting for travel, sociodemographic, and user-type heterogeneity. Journal of Air Transport Management. 2020; 84 ():101780.

Chicago/Turabian Style

Jaime Allen; Maria Grazia Bellizzi; Laura Eboli; Carmen Forciniti; Gabriella Mazzulla. 2020. "Service quality in a mid-sized air terminal: A SEM-MIMIC ordinal probit accounting for travel, sociodemographic, and user-type heterogeneity." Journal of Air Transport Management 84, no. : 101780.

Journal article
Published: 23 January 2020 in Sustainability
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Analyzing traffic accidents is very important due to their direct impact on the social environment. In the literature, many studies focus on the different aspects that influence traffic accidents, such as human, vehicle, road and environment risk factors. In this paper, we propose a methodology for testing the relationship between road, external environment, driver and vehicle characteristics, and certain circumstances that lead to the traffic crashes. Particularly, we elaborate on logistic regression models for evaluating how these different characteristics impact on crash severity, considering the combination of traffic circumstances that caused the crash. In each combination, a vehicle proceeded regularly, whereas the other vehicle did an incorrect maneuver (the vehicle proceeded: with distracted driving; without maintaining the safety distance; with speeding; by maneuvering to join the circulation flow; against the flow). The present work analyzes data related to road crashes which occurred in Italy during 2016 involving two vehicles. The results show that the variables significantly influencing crash severity are different depending on the combinations of circumstances that cause the crash.

ACS Style

Laura Eboli; Carmen Forciniti. The Severity of Traffic Crashes in Italy: An Explorative Analysis among Different Driving Circumstances. Sustainability 2020, 12, 856 .

AMA Style

Laura Eboli, Carmen Forciniti. The Severity of Traffic Crashes in Italy: An Explorative Analysis among Different Driving Circumstances. Sustainability. 2020; 12 (3):856.

Chicago/Turabian Style

Laura Eboli; Carmen Forciniti. 2020. "The Severity of Traffic Crashes in Italy: An Explorative Analysis among Different Driving Circumstances." Sustainability 12, no. 3: 856.

Journal article
Published: 09 January 2020 in International Journal of Environmental Research and Public Health
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To resolve environmental and social problems and traffic congestion, a sustainability evaluation of transportation infrastructure should be done for current and proposed situations. The aim of the present investigation is to evaluate the sustainability of infrastructure project on system interchange and assess their results with respect to sustainable development indicators. Based on interviews with experts, intensive observation, and development infrastructure related to the case study, six proposed scenarios are proposed to improve traffic condition of the Sheikhfazolah-Yadegar interchange in Tehran. The proposed scenarios are modeled and calibrated in AIMSUN 8.0, then the value of all indicators are determined through an indirect and direct procedure by AIMSUN results. A technique for order of preference by similarity to ideal solution (TOPSIS) method is used to integrate the results of proposed indicators. Although the weight of each indicator specifies its effect in sustainability evaluation, changes intensity of indicator value was not applied in sustainability evaluation by the previous methods of multi-criteria decision analysis (MCDA). In this study, for the first time, a simplified approach is defined and used to evaluate sustainable development of all scenarios that can apply the effect of changes intensity in sustainability evaluation. This method is named the applied effect of changes intensity in each indicator (AECIEI). According to the purposes of Tehran vision in 2025, all proposed scenarios are ranked based on TOPSIS results and the simplified approach, and then results of these methods are compared.

ACS Style

Aydin Shishegaran; Arshia Shishegaran; Gabriella Mazzulla; Carmen Forciniti. A Novel Approach for a Sustainability Evaluation of Developing System Interchange: The Case Study of the Sheikhfazolah-Yadegar Interchange, Tehran, Iran. International Journal of Environmental Research and Public Health 2020, 17, 435 .

AMA Style

Aydin Shishegaran, Arshia Shishegaran, Gabriella Mazzulla, Carmen Forciniti. A Novel Approach for a Sustainability Evaluation of Developing System Interchange: The Case Study of the Sheikhfazolah-Yadegar Interchange, Tehran, Iran. International Journal of Environmental Research and Public Health. 2020; 17 (2):435.

Chicago/Turabian Style

Aydin Shishegaran; Arshia Shishegaran; Gabriella Mazzulla; Carmen Forciniti. 2020. "A Novel Approach for a Sustainability Evaluation of Developing System Interchange: The Case Study of the Sheikhfazolah-Yadegar Interchange, Tehran, Iran." International Journal of Environmental Research and Public Health 17, no. 2: 435.

Journal article
Published: 01 December 2019 in Research in Transportation Business & Management
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The promotion of soft mobility and particularly pedestrian mobility in urban areas is a key action to reduce the environmental and social costs related to the use of motorized transportation systems. Therefore, a such action represents a strategy towards a sustainable mobility. In order to encourage people to move on foot, attractive pedestrian paths should be designed and offered. From this perspective, it is fundamental to know people opinions about the provided pedestrian paths. In this paper, experimental data collected on a sample of pedestrians are analyzed. More specifically, two paths with different characteristics were selected: the first one is a path where pedestrians have an exclusive space to walk, while the second path is characterized by interactions between motorized modes and pedestrians. Interviewed people were asked to provide their sense of comfort, nuisance and protection concerning some aspects and elements that they experienced while walking. From the proposed analysis, interesting findings emerged. The results could be useful to identify convenient policies for managing pedestrian mobility.

ACS Style

Maria Grazia Bellizzi; Laura Eboli; Carmen Forciniti. Segregation vs interaction in the walkways: An analysis of pedestrians' perceptions. Research in Transportation Business & Management 2019, 33, 100410 .

AMA Style

Maria Grazia Bellizzi, Laura Eboli, Carmen Forciniti. Segregation vs interaction in the walkways: An analysis of pedestrians' perceptions. Research in Transportation Business & Management. 2019; 33 ():100410.

Chicago/Turabian Style

Maria Grazia Bellizzi; Laura Eboli; Carmen Forciniti. 2019. "Segregation vs interaction in the walkways: An analysis of pedestrians' perceptions." Research in Transportation Business & Management 33, no. : 100410.

Journal article
Published: 13 May 2019 in Sustainability
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The bike can contribute to the development of sustainable mobility. This requires interventions to promote bike use, such as increasing the cyclist safety, construction of bikeways, and provision of ancillary services and bike sharing activities. In the literature many studies focus on bike use and agree with the application of such interventions. However, these studies are often related to specific urban areas that are very different; the transferability of results and models has not been adequately analyzed. This work investigates the attitudes towards cycling in Rende, a small town in Southern Italy. The aim is to determine in what conditions the users would be willing to use bicycles in relation to the trip purpose, the presence or absence of cycle paths, and the availability of bike sharing services. Different factors, such as age, gender, and occupation, are taken into account. The results show that the bike use could be incentivized by enlarging the existent bike network, adopting bike sharing systems, and promoting specific policies oriented to sustainable transport modes. Furthermore, two aspects emerged from the analysis: the importance of studying the propensity to use bikes by different groups of users and the importance of focusing interventions on market segments with greater willingness to bike.

ACS Style

Demetrio Festa; Carmen Forciniti. Attitude towards Bike Use in Rende, a Small Town in South Italy. Sustainability 2019, 11, 2703 .

AMA Style

Demetrio Festa, Carmen Forciniti. Attitude towards Bike Use in Rende, a Small Town in South Italy. Sustainability. 2019; 11 (9):2703.

Chicago/Turabian Style

Demetrio Festa; Carmen Forciniti. 2019. "Attitude towards Bike Use in Rende, a Small Town in South Italy." Sustainability 11, no. 9: 2703.

Journal article
Published: 11 January 2019 in Transport Policy
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We analyse the relationship between transit passengers’ satisfaction and loyalty. Understanding passengers’ behavioural intentions after experiencing a service is an essential task for transit managers. We use structural equation models (SEM) to explore the relationship among various satisfaction latent constructs. In particular, we introduce Loyalty, which represents the intent to recommend the service. We also introduce the concept of Critical Incidents (CI), i.e. closure of a transit line in the last three months (planned) or a service anomaly in the past month (unplanned), and hypothesise that CI negatively affects any attribute-specific satisfaction construct. We additionally model the concept of Involvement, measured as the intent to participate in future public transport (PT) marketing studies, and hypothesise that both Overall Satisfaction and Loyalty may affect this variable. Finally, we conduct an SEM Multi-Group Analysis (SEM-MGA), with the objective to determine whether heterogeneity is present in passengers’ satisfaction models, by incorporating users’ travel and demographic characteristics (i.e. gender, age, nationality, time of day, travel frequency, and trip purpose). Our findings show that CI significantly impact all attribute-specific satisfaction constructs, specially the unplanned events during the last month. We also find that Loyalty is influenced by Overall Satisfaction and also by specific satisfaction constructs. By comparing various SEM models, we find that service satisfaction constructs, such as speed and waiting time at the platform, are the most relevant towards Overall Satisfaction. The SEM-MGA serves as a tool to test for heterogeneity in the satisfaction models within user groups. We find differences in time of day, age, and travel frequency. Finally, we consider that the Involvement relationship needs further research. Our framework allows for more detailed policy-making in PT systems regarding heterogeneous subpopulations and more concrete policy variables, such as Critical Incidents.

ACS Style

Jaime Allen; Laura Eboli; Carmen Forciniti; Gabriella Mazzulla; Juan De Dios Ortúzar. The role of critical incidents and involvement in transit satisfaction and loyalty. Transport Policy 2019, 75, 57 -69.

AMA Style

Jaime Allen, Laura Eboli, Carmen Forciniti, Gabriella Mazzulla, Juan De Dios Ortúzar. The role of critical incidents and involvement in transit satisfaction and loyalty. Transport Policy. 2019; 75 ():57-69.

Chicago/Turabian Style

Jaime Allen; Laura Eboli; Carmen Forciniti; Gabriella Mazzulla; Juan De Dios Ortúzar. 2019. "The role of critical incidents and involvement in transit satisfaction and loyalty." Transport Policy 75, no. : 57-69.

Journal article
Published: 06 December 2018 in Transportation Research Part D: Transport and Environment
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In the last few years, ordinary least squares (OLS) models have been the most used regression models for estimating trips in urban areas. However, these models present some limitations, whose the most relevant is that they ignore the geographic variations of relationships among variables. On the other hand, the explanatory power of trip generation models can be enhanced using geographically weighted regression (GWR), which is a local form of linear regression used to model spatially varying relationships. In this paper, factors affecting daily trips made by the Metro system of Madrid (Spain) are analysed through a GWR model. In order to evaluate the factors mainly influencing daily trip generation, a number of explanatory variables, including socio-economic characteristics of the population, land use, accessibility, and transportation system attributes, were considered. The analysis led to the identification of seven explanatory variables to be included in the model specification. The GWR results captured the spatial variation of the relationships among the variables across the study region. The research study attempted to identify the variable that most influenced trip generation for different parts of the city through a comparison of GWR results between various city zones.

ACS Style

Francisco Calvo; Laura Eboli; Carmen Forciniti; Gabriella Mazzulla. Factors influencing trip generation on metro system in Madrid (Spain). Transportation Research Part D: Transport and Environment 2018, 67, 156 -172.

AMA Style

Francisco Calvo, Laura Eboli, Carmen Forciniti, Gabriella Mazzulla. Factors influencing trip generation on metro system in Madrid (Spain). Transportation Research Part D: Transport and Environment. 2018; 67 ():156-172.

Chicago/Turabian Style

Francisco Calvo; Laura Eboli; Carmen Forciniti; Gabriella Mazzulla. 2018. "Factors influencing trip generation on metro system in Madrid (Spain)." Transportation Research Part D: Transport and Environment 67, no. : 156-172.

Journal article
Published: 01 December 2018 in Case Studies on Transport Policy
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Passengers’ behavioural intentions after experiencing transit services can be viewed as signals that show if a customer continues to utilise a company’s service. Users’ behavioural intentions can depend on a series of aspects that are difficult to measure directly. More recently, transit passengers’ behavioural intentions have been considered together with the concepts of service quality and customer satisfaction. Due to the characteristics of the ways for evaluating passengers’ behavioural intentions, service quality and customer satisfaction, we retain that this kind of issue could be analysed also by applying ordered regression models. This work aims to propose an ordered Probit model for analysing service quality factors that can influence passengers’ behavioural intentions towards the use of transit services. The case study is the LRT of Seville (Spain), where a survey was conducted in order to collect the opinions of the passengers about the existing transit service, and to have a measure of the aspects that can influence the intentions of the users to continue using the transit service in the future.

ACS Style

Juan de Oña; Rocío de Oña; Laura Eboli; Carmen Forciniti; Gabriella Mazzulla. An ordered regression model to predict transit passengers’ behavioural intentions. Case Studies on Transport Policy 2018, 6, 449 -455.

AMA Style

Juan de Oña, Rocío de Oña, Laura Eboli, Carmen Forciniti, Gabriella Mazzulla. An ordered regression model to predict transit passengers’ behavioural intentions. Case Studies on Transport Policy. 2018; 6 (4):449-455.

Chicago/Turabian Style

Juan de Oña; Rocío de Oña; Laura Eboli; Carmen Forciniti; Gabriella Mazzulla. 2018. "An ordered regression model to predict transit passengers’ behavioural intentions." Case Studies on Transport Policy 6, no. 4: 449-455.

Journal article
Published: 30 October 2018 in Transportation Research Procedia
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Evaluating air transport service quality performance is of crucial importance both for countries’ economic development and airline industry, which has a vital role in countries’ development and competitiveness. The multicultural nature of this industry requires strong effort to offer services with good levels of quality. Airport facilities and services are the first experiences that a passenger receives upon arrival. Therefore, measuring the levels of airport services by evaluating passengers’ satisfaction with them is essential to understand the needs of customers. In this work, we want to propose a tool for measuring airport service quality starting from the judgements expressed by passengers about some service aspects. The data supporting the work refer to the services offered by the Lamezia Terme airport, the most important airport of Calabria, in the South of Italy. The data were collected through face-to-face interviews addressed to departing passengers. Passengers expressed their perceptions according to an ordinal verbal scale about some service factors concerning aspects such as information, security, cleanliness and comfort. We propose an ordered logit model with the aim to investigate on the influence of the various service factors on the overall service quality, by considering passengers’ satisfaction with the service factors and the overall service. Specifically, the model can be adopted for identifying the combinations of the satisfaction levels of the service factors that return the level of overall satisfaction desired by the operator. We propose some models for different groups of users in order to verify the differences in perceptions of service quality.

ACS Style

Maria Grazia Bellizzi; Laura Eboli; Carmen Forciniti; Gabriella Mazzulla. Air Transport Passengers’ Satisfaction: an Ordered Logit Model. Transportation Research Procedia 2018, 33, 147 -154.

AMA Style

Maria Grazia Bellizzi, Laura Eboli, Carmen Forciniti, Gabriella Mazzulla. Air Transport Passengers’ Satisfaction: an Ordered Logit Model. Transportation Research Procedia. 2018; 33 ():147-154.

Chicago/Turabian Style

Maria Grazia Bellizzi; Laura Eboli; Carmen Forciniti; Gabriella Mazzulla. 2018. "Air Transport Passengers’ Satisfaction: an Ordered Logit Model." Transportation Research Procedia 33, no. : 147-154.

Journal article
Published: 01 August 2018 in Transportation Research Part A: Policy and Practice
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Passenger’s perception about transit service quality strongly depends on the context to which the passenger refers. Consequently, each attribute affecting service quality and rated in terms of satisfaction or importance could show spatial pattern across the region and/or temporal variations. Although transit service quality was largely investigated, few studies took into account the spatial variability of passengers’ responses, given that a large amount of previous studies considered customer satisfaction with transit services in a cross sectional manner only. In order to cover this lack, we propose a study focused on transit service quality evaluated at railway stations, aimed to suggest a methodology for treating spatial variation of service quality attributes. The research is supported by Customer Satisfaction Survey data collected by a railway operator providing regional services in the North of Italy, and particularly rail services of regional and suburban lines connecting different towns of the hinterland of the city of Milan. The emerging results show spatial patterns across the region of the transit service quality attributes which should be taken into account for a deeper investigation of passengers’ perceptions about rail services.

ACS Style

Laura Eboli; Carmen Forciniti; Gabriella Mazzulla. Spatial variation of the perceived transit service quality at rail stations. Transportation Research Part A: Policy and Practice 2018, 114, 67 -83.

AMA Style

Laura Eboli, Carmen Forciniti, Gabriella Mazzulla. Spatial variation of the perceived transit service quality at rail stations. Transportation Research Part A: Policy and Practice. 2018; 114 ():67-83.

Chicago/Turabian Style

Laura Eboli; Carmen Forciniti; Gabriella Mazzulla. 2018. "Spatial variation of the perceived transit service quality at rail stations." Transportation Research Part A: Policy and Practice 114, no. : 67-83.

Original paper
Published: 05 July 2017 in Public Transport
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Transit service quality is a complex concept depending on different service aspects, such as service frequency and punctuality, comfort, cleanliness, information and so on. Transit service quality is generally measured through the satisfaction of the users with the service. There are relationships between the overall service quality and the different transit service aspects, and between each aspect and the characteristics describing it. Structural equation models represent a useful tool for exploring this kind of relationship and determining the influence of the different service characteristics on service quality. An investigated issue concerning structural equation models is the contrast between the formative and the reflective approach. The structural models proposed for measuring transit service quality have followed a reflective approach, according to which the latent variable (or the service aspect) is the cause of the observed measures (or the service factors describing the service aspect); but in this paper we investigate on the fact that formative variables could be considered to model the relationship among the service quality characteristics, supposing that the observed measures, which represent the service characteristics, form the latent construct. The findings from the comparison between the results obtained by applying the two different approaches suggest that the reflective model is surely more suitable for describing the phenomenon of passenger satisfaction with transit service quality. However, we retain that if some service aspects can be more conveniently investigated through a reflective approach, other service aspects could follow a formative approach in a better way.

ACS Style

Laura Eboli; Carmen Forciniti; Gabriella Mazzulla. Formative and reflective measurement models for analysing transit service quality. Public Transport 2017, 10, 107 -127.

AMA Style

Laura Eboli, Carmen Forciniti, Gabriella Mazzulla. Formative and reflective measurement models for analysing transit service quality. Public Transport. 2017; 10 (1):107-127.

Chicago/Turabian Style

Laura Eboli; Carmen Forciniti; Gabriella Mazzulla. 2017. "Formative and reflective measurement models for analysing transit service quality." Public Transport 10, no. 1: 107-127.

Conference paper
Published: 07 June 2016 in Libro de Actas CIT2016. XII Congreso de Ingeniería del Transporte
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Passengers’ behavioural intentions after experiencing transit services can be viewed as signals that show if a customer continues to utilise a company’s service. Users’ behavioural intentions can depend on a series of aspects that are difficult to measure directly. More recently, transit passengers’ behavioural intentions have been just considered together with the concepts of service quality and customer satisfaction. Due to the characteristics of the ways for evaluating passengers’ behavioural intentions, service quality and customer satisfaction, we retain that this kind of issue could be analysed also by applying ordered regression models. This work aims to propose just an ordered probit model for analysing service quality factors that can influence passengers’ behavioural intentions towards the use of transit services. The case study is the LRT of Seville (Spain), where a survey was conducted in order to collect the opinions of the passengers about the existing transit service, and to have a measure of the aspects that can influence the intentions of the users to continue using the transit service in the future.DOI: http://dx.doi.org/10.4995/CIT2016.2016.3199

ACS Style

Carmen Forciniti; Juan De Oña; Rocio De Oña; Laura Eboli; Gabriella Mazzulla. An Ordered Regression Model to Predict Transit Passengers’ Behavioural Intentions. Libro de Actas CIT2016. XII Congreso de Ingeniería del Transporte 2016, 1 .

AMA Style

Carmen Forciniti, Juan De Oña, Rocio De Oña, Laura Eboli, Gabriella Mazzulla. An Ordered Regression Model to Predict Transit Passengers’ Behavioural Intentions. Libro de Actas CIT2016. XII Congreso de Ingeniería del Transporte. 2016; ():1.

Chicago/Turabian Style

Carmen Forciniti; Juan De Oña; Rocio De Oña; Laura Eboli; Gabriella Mazzulla. 2016. "An Ordered Regression Model to Predict Transit Passengers’ Behavioural Intentions." Libro de Actas CIT2016. XII Congreso de Ingeniería del Transporte , no. : 1.

Conference paper
Published: 07 June 2016 in Libro de Actas CIT2016. XII Congreso de Ingeniería del Transporte
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The configuration of urban areas is the result of a cyclic relationship between land use and transportation system: the changes in transportation system arrangements influence the localisation of residence and economic activities, as well as the changes in land use affect transportation system characteristics. In this context, by operating on land use, travel demand can be shift from the individual transportation modes to transit systems. In the literature, many conceptual models were proposed to describe the complex relationship between land use and travel behaviour. In addition to spatial variation, the study of travel demand shows the categorical variation of variables. This work aims to analyse the influence of the categorical variation of variables impacting on transit use. An ordered probit model is proposed for evaluating how transit use depends on variables related to socio-economic characteristics of population, territorial features, accessibility, and transportation system. The study case is Madrid metro network (Spain). The results show a strong influence of characteristics of population and land use variables on daily trips made using metro system and highlighted the aspects that mainly impact on the choice to travel by metro, providing useful suggestions for shifting people from individual transportation mode to transit systems.DOI: http://dx.doi.org/10.4995/CIT2016.2016.3205

ACS Style

Carmen Forciniti; Laura Eboli; Gabriella Mazzulla; Francisco Calvo. Exploring the Factors that Impact on Transit Use through an Ordered Probit Model: the Case of Metro of Madrid. Libro de Actas CIT2016. XII Congreso de Ingeniería del Transporte 2016, 1 .

AMA Style

Carmen Forciniti, Laura Eboli, Gabriella Mazzulla, Francisco Calvo. Exploring the Factors that Impact on Transit Use through an Ordered Probit Model: the Case of Metro of Madrid. Libro de Actas CIT2016. XII Congreso de Ingeniería del Transporte. 2016; ():1.

Chicago/Turabian Style

Carmen Forciniti; Laura Eboli; Gabriella Mazzulla; Francisco Calvo. 2016. "Exploring the Factors that Impact on Transit Use through an Ordered Probit Model: the Case of Metro of Madrid." Libro de Actas CIT2016. XII Congreso de Ingeniería del Transporte , no. : 1.

Journal article
Published: 26 February 2016 in Transportmetrica A: Transport Science
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ACS Style

Juan De Oña; Rocio de Oña; Laura Eboli; Carmen Forciniti; Gabriella Mazzulla. Transit passengers’ behavioural intentions: the influence of service quality and customer satisfaction. Transportmetrica A: Transport Science 2016, 12, 385 -412.

AMA Style

Juan De Oña, Rocio de Oña, Laura Eboli, Carmen Forciniti, Gabriella Mazzulla. Transit passengers’ behavioural intentions: the influence of service quality and customer satisfaction. Transportmetrica A: Transport Science. 2016; 12 (5):385-412.

Chicago/Turabian Style

Juan De Oña; Rocio de Oña; Laura Eboli; Carmen Forciniti; Gabriella Mazzulla. 2016. "Transit passengers’ behavioural intentions: the influence of service quality and customer satisfaction." Transportmetrica A: Transport Science 12, no. 5: 385-412.

Journal article
Published: 01 January 2016 in Transportation Research Procedia
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ACS Style

Laura Eboli; Carmen Forciniti; Gabriella Mazzulla; Francisco Calvo. Exploring the Factors That Impact on Transit Use through an Ordered Probit Model: The Case of Metro of Madrid. Transportation Research Procedia 2016, 18, 35 -43.

AMA Style

Laura Eboli, Carmen Forciniti, Gabriella Mazzulla, Francisco Calvo. Exploring the Factors That Impact on Transit Use through an Ordered Probit Model: The Case of Metro of Madrid. Transportation Research Procedia. 2016; 18 ():35-43.

Chicago/Turabian Style

Laura Eboli; Carmen Forciniti; Gabriella Mazzulla; Francisco Calvo. 2016. "Exploring the Factors That Impact on Transit Use through an Ordered Probit Model: The Case of Metro of Madrid." Transportation Research Procedia 18, no. : 35-43.

Journal article
Published: 13 July 2015 in Transport
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Road accidents have a relevant impact in terms of economic and social costs. As a consequence, many research studies have focused on identifying the key factors affecting accident severity. Traditionally, these factors can be included in the infrastructural, human and vehicle groups. Among these, human factors have a relevant impact on accident severity, which depends on driving experience, driver’s socio-economic characteristics, and driving behaviour, but also on the driver’s psychological state while driving. In this paper we investigate on the relationships between driving behaviour usually taken by the driver and his/her perceived psychological state while driving. In order to achieve this goal we adopt an Ordered Probit (OP) model formulation calibrated on the basis of experimental data collected by a sample survey. We demonstrate that the adopted methodology accounts for the differential impacts of certain human factors on driver’s psychological state.

ACS Style

Angelo Stephen Cardamone; Laura Eboli; Carmen Forciniti; Gabriella Mazzulla. HOW USUAL BEHAVIOUR CAN AFFECT PERCEIVED DRIVERS’ PSYCHOLOGICAL STATE WHILE DRIVING. Transport 2015, 32, 13 -22.

AMA Style

Angelo Stephen Cardamone, Laura Eboli, Carmen Forciniti, Gabriella Mazzulla. HOW USUAL BEHAVIOUR CAN AFFECT PERCEIVED DRIVERS’ PSYCHOLOGICAL STATE WHILE DRIVING. Transport. 2015; 32 (1):13-22.

Chicago/Turabian Style

Angelo Stephen Cardamone; Laura Eboli; Carmen Forciniti; Gabriella Mazzulla. 2015. "HOW USUAL BEHAVIOUR CAN AFFECT PERCEIVED DRIVERS’ PSYCHOLOGICAL STATE WHILE DRIVING." Transport 32, no. 1: 13-22.

Journal article
Published: 01 December 2014 in Procedia - Social and Behavioral Sciences
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ACS Style

Juan De Oña; Rocío De Oña; Laura Eboli; Carmen Forciniti; Jose Luis Machado; Gabriella Mazzulla. Analysing the Relationship Among Accident Severity, Drivers’ Behaviour and Their Socio-economic Characteristics in Different Territorial Contexts. Procedia - Social and Behavioral Sciences 2014, 160, 74 -83.

AMA Style

Juan De Oña, Rocío De Oña, Laura Eboli, Carmen Forciniti, Jose Luis Machado, Gabriella Mazzulla. Analysing the Relationship Among Accident Severity, Drivers’ Behaviour and Their Socio-economic Characteristics in Different Territorial Contexts. Procedia - Social and Behavioral Sciences. 2014; 160 ():74-83.

Chicago/Turabian Style

Juan De Oña; Rocío De Oña; Laura Eboli; Carmen Forciniti; Jose Luis Machado; Gabriella Mazzulla. 2014. "Analysing the Relationship Among Accident Severity, Drivers’ Behaviour and Their Socio-economic Characteristics in Different Territorial Contexts." Procedia - Social and Behavioral Sciences 160, no. : 74-83.

Comparative study
Published: 01 December 2014 in Accident Analysis & Prevention
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Road crashes can be caused by different factors, including infrastructure, vehicles, and human variables. Many research studies have focused solely on identifying the key factors that cause road crashes. From these studies, it emerged that human factors have the most relevant impact on accident severity. More specifically, accident severity depends on several factors related directly to the driver, i.e., driving experience, driver's socio-economic characteristics, and driving behavior and attitudes. In this paper, we investigate driver behaviors and attitudes while driving and specifically focus on different methods for identifying the factors that most affect the driver's perception of accident risk. To this end, we designed and conducted a survey in two different European contexts: the city of Cosenza, which is located in the south of Italy, and the city of Granada, which is located in the south of Spain. Samples of drivers were contacted for their opinions on certain aspects of driving rules and attitudes while driving, and different types of questions were addressed to the drivers to assess their judgments of these aspects. Consequently, different methods of data analysis were applied to determine the aspects that heavily influence driver perception of accident risk. An experiment based on the stated preferences (SP) was carried out with the drivers, and the SP data were analyzed using an ordered probit (OP) model. Interesting findings emerged from different analyses of the data and from the comparisons among the data collected in the two different territorial contexts. We found that both Italian and Spanish drivers consider driving in an altered psychophysical state and violating the overtaking rules to be the most risky behaviors.

ACS Style

Juan de Oña; Rocio de Oña; Laura Eboli; Carmen Forciniti; Gabriella Mazzulla. How to identify the key factors that affect driver perception of accident risk. A comparison between Italian and Spanish driver behavior. Accident Analysis & Prevention 2014, 73, 225 -235.

AMA Style

Juan de Oña, Rocio de Oña, Laura Eboli, Carmen Forciniti, Gabriella Mazzulla. How to identify the key factors that affect driver perception of accident risk. A comparison between Italian and Spanish driver behavior. Accident Analysis & Prevention. 2014; 73 ():225-235.

Chicago/Turabian Style

Juan de Oña; Rocio de Oña; Laura Eboli; Carmen Forciniti; Gabriella Mazzulla. 2014. "How to identify the key factors that affect driver perception of accident risk. A comparison between Italian and Spanish driver behavior." Accident Analysis & Prevention 73, no. : 225-235.