This page has only limited features, please log in for full access.
João De Abreu E Silva; Fariya Sharmeen; Juan de Oña. Information and Communication Technologies (ICT), social media and (un)sustainable mobility. Travel Behaviour and Society 2021, 24, 279 -281.
AMA StyleJoão De Abreu E Silva, Fariya Sharmeen, Juan de Oña. Information and Communication Technologies (ICT), social media and (un)sustainable mobility. Travel Behaviour and Society. 2021; 24 ():279-281.
Chicago/Turabian StyleJoão De Abreu E Silva; Fariya Sharmeen; Juan de Oña. 2021. "Information and Communication Technologies (ICT), social media and (un)sustainable mobility." Travel Behaviour and Society 24, no. : 279-281.
In order to attract car users towards the public transport services in an urban and metropolitan context, contributing to a sustainable mobility in cities, it is fundamental to improve our knowledge of service quality perceptions, satisfaction and behavioral intentions toward transit from the point of view of private transport users. This paper is based on the data from a single survey—carried out in two European cities (Madrid and Lisbon)—of regular private vehicle users that use public transport at least occasionally. The questionnaire gathers information about 14 attributes of service quality, four indicators for satisfaction and four indicators for behavioral intentions; as well as several sociodemographic variables that are used in the models (household location, gender, age, education, dependent members in the family and income). The study uses confirmatory factor analysis to identify the most important service quality attributes for the car users; structural equation modeling for investigating the relationships among the three factors; and multi-group analysis (MGA) and a multiple-indicator and multiple-causes (MIMIC) approach to identify heterogeneity in the models because of geographical context or sociodemographic characteristics. Regular private vehicle users in both cities agree that punctuality, frequency, information and intermodality are among the five most important service quality attributes. Residents in Madrid also emphasize speed, while service hours would be a priority in Lisbon. The models for both cities agree on a complete mediator role of satisfaction between service quality and behavioral intentions. The MGA and MIMIC approaches show that the models do not present important differences tied to the sociodemographic characteristics, although differences are identified between Madrid and Lisbon. The MIMIC approach identified differences associated with city, household location and education for the pooled data; while household location, age and education were significant in Lisbon.
Juan De Oña. Service quality, satisfaction and behavioral intentions towards public transport from the point of view of private vehicle users. Transportation 2021, 1 -33.
AMA StyleJuan De Oña. Service quality, satisfaction and behavioral intentions towards public transport from the point of view of private vehicle users. Transportation. 2021; ():1-33.
Chicago/Turabian StyleJuan De Oña. 2021. "Service quality, satisfaction and behavioral intentions towards public transport from the point of view of private vehicle users." Transportation , no. : 1-33.
This paper aims to further understand the main factors influencing the behavioural intentions (BI) of private vehicle users towards public transport to provide policymakers and public transport operators with the tools they need to attract more private vehicle users. As service quality, satisfaction and attitudes towards public transport are considered the main motivational forces behind the BI of public transport users, this research analyses 26 indicators frequently associated with these constructs for both public transport users and private vehicle users. Non-parametric tests and ordinal logit models have been applied to an online survey asked in Madrid’s metropolitan area with a sample size of 1025 respondents (525 regular public transport users and 500 regular private vehicle users). In order to achieve a comprehensive analysis and to deal with heterogeneity in perceptions, 338 models have been developed for the entire sample and for 12 users’ segments. The results led to the identification of indicators with no significant differences between public transport and private vehicle users in any of the segments being considered (punctuality, information and low-income), as well as those that did show significant differences in all the segments (proximity, intermodality, save time and money, and lifestyle). The main differences between public transport and private vehicle users were found in the attitudes towards public transport and for certain user segments (residents in the city centre, males, young, with university qualification and with incomes above 2700€/month). Findings from this study can be used to develop policies and recommendations for persuading more private vehicle users to use the public transport services.
Juan de Oña; Esperanza Estévez; Rocío de Oña. Public transport users versus private vehicle users: Differences about quality of service, satisfaction and attitudes toward public transport in Madrid (Spain). Travel Behaviour and Society 2020, 23, 76 -85.
AMA StyleJuan de Oña, Esperanza Estévez, Rocío de Oña. Public transport users versus private vehicle users: Differences about quality of service, satisfaction and attitudes toward public transport in Madrid (Spain). Travel Behaviour and Society. 2020; 23 ():76-85.
Chicago/Turabian StyleJuan de Oña; Esperanza Estévez; Rocío de Oña. 2020. "Public transport users versus private vehicle users: Differences about quality of service, satisfaction and attitudes toward public transport in Madrid (Spain)." Travel Behaviour and Society 23, no. : 76-85.
Several studies have made manifest that involvement with public transport play a key role in the intentions of its use. However, conflicting models exist in the literature about involvement’s role in the relationship between service quality, satisfaction and behavioral intentions or loyalty. Previous studies suggest all possible roles: antecedent, mediator, moderator and direct effects. A structural equation modeling approach is applied here to further understand the role of involvement with public transport, comparing eight alternative models and using data from a single survey carried out in five European cities (Madrid, Rome, Berlin, Lisbon and London). Later, the study uses a multiple indicators and multiple causes structural equation modeling approach (SEM-MIMIC) to analyze the effect of heterogeneity present in the data over the four constructs considered (service quality, satisfaction, involvement and behavioral intentions). This comprehensive methodological approach provides a number of noteworthy findings, including the empirical verification that satisfaction is a full mediator between service quality and involvement, and involvement is a full mediator between satisfaction and behavioral intentions. The results further suggest that involvement is the factor that contributes most to behavioral intentions or loyalty, followed by service quality perceptions and satisfaction. Lastly, this study demonstrates the relevance of controlling for heterogeneity in users’ perceptions, so as to obtain more robust relations among factors and identify significant differences among market segments, which could prove useful for public transport operators or policy makers.
Juan De Oña. The role of involvement with public transport in the relationship between service quality, satisfaction and behavioral intentions. Transportation Research Part A: Policy and Practice 2020, 142, 296 -318.
AMA StyleJuan De Oña. The role of involvement with public transport in the relationship between service quality, satisfaction and behavioral intentions. Transportation Research Part A: Policy and Practice. 2020; 142 ():296-318.
Chicago/Turabian StyleJuan De Oña. 2020. "The role of involvement with public transport in the relationship between service quality, satisfaction and behavioral intentions." Transportation Research Part A: Policy and Practice 142, no. : 296-318.
Longitudinal road markings are a valuable aid in driving guidance. An increase in their width may influence driving and, therefore, road safety. Wider road markings generate a perception of a narrowing lane, which may induct drivers to reduce speed. The present study tries to verify if an increased width of longitudinal road markings actually helps one to drive more slowly, and consequently leads to enhanced road safety. For this purpose, three curves with reduced visibility were selected and driving speed was measured with normal and modified (wider) longitudinal road markings. The results showed a speed reduction effect of around 3.1% with wide road markings. The speed-reducing effect of wide marks was greater during weekends and with more intense traffic volume, while it was slightly attenuated by night. Finally, the calculation of some standard cases on a working day, and considering average traffic volume, gave the following speed reductions during the day and at night, respectively: for light vehicles, 2.24% and 1.96%; for heavy vehicles, 2.46% and 2.15%. In view of the results obtained, it may be said that using wide road markings can help reduce vehicle speed, thereby contributing to reduced traffic accidents and making road transport more sustainable.
Francisco Calvo-Poyo; Juan De Oña; Laura Garach Morcillo; José Navarro-Moreno. Influence of Wider Longitudinal Road Markings on Vehicle Speeds in Two-Lane Rural Highways. Sustainability 2020, 12, 8305 .
AMA StyleFrancisco Calvo-Poyo, Juan De Oña, Laura Garach Morcillo, José Navarro-Moreno. Influence of Wider Longitudinal Road Markings on Vehicle Speeds in Two-Lane Rural Highways. Sustainability. 2020; 12 (20):8305.
Chicago/Turabian StyleFrancisco Calvo-Poyo; Juan De Oña; Laura Garach Morcillo; José Navarro-Moreno. 2020. "Influence of Wider Longitudinal Road Markings on Vehicle Speeds in Two-Lane Rural Highways." Sustainability 12, no. 20: 8305.
The lack of robust studies carried out on urban roads in developing countries makes it difficult to enhance traffic safety, ensuring sustainable roads and cities. This study analyzes the contribution of a number of explanatory variables behind crashes involving injuries on arterial roads in Irbid (Jordan). Five binary logistic regression models were calibrated for a crash dataset from 2014-2018: one for the full database, and the others for the four main crash causes identified by Jordanian Traffic Police reports. The models show that whatever the crash cause, the three most significant factors linked to an injury or fatality lie in urban road sections that are in large-scale neighborhood areas, have fewer than six accesses per kilometer, and have a low traffic volume (under 500 veh/h/ln). Some of these results agree with previous studies in other countries. Jordan’s governmental agencies concerned with urban road safety might use these results to develop appropriate plans and implement priority actions for each crash cause, in addition to undertaking further research for comparative purposes.
Tasneem Miqdady; Juan De Oña. Identifying the Factors That Increase the Probability of an Injury or Fatal Traffic Crash in an Urban Context in Jordan. Sustainability 2020, 12, 7464 .
AMA StyleTasneem Miqdady, Juan De Oña. Identifying the Factors That Increase the Probability of an Injury or Fatal Traffic Crash in an Urban Context in Jordan. Sustainability. 2020; 12 (18):7464.
Chicago/Turabian StyleTasneem Miqdady; Juan De Oña. 2020. "Identifying the Factors That Increase the Probability of an Injury or Fatal Traffic Crash in an Urban Context in Jordan." Sustainability 12, no. 18: 7464.
The aim of this study is to analyse whether the economic resources invested in roads—both investment in construction and expenditure on maintenance and conservation—have any influence on road fatality rates. Since this is a complex problem, and because there are many factors that can influence the fatality rate, other variables related to specific transport, socioeconomic and meteorological factors are also considered. The study was carried out using a panel data model, modelling road mortality as a function of 12 variables. The scope of the study is international, focusing on the interurban road network. Data were collected from 23 European countries for the period 1998–2016. The main results obtained are that both expenditure on road maintenance and conservation and the proportion of motorways in the total road network contribute to reducing road mortality. Contrariwise, greater investment in construction leads to an increase in the fatality rate.
Francisco Calvo-Poyo; José Navarro-Moreno; Juan De Oña. Road Investment and Traffic Safety: An International Study. Sustainability 2020, 12, 6332 .
AMA StyleFrancisco Calvo-Poyo, José Navarro-Moreno, Juan De Oña. Road Investment and Traffic Safety: An International Study. Sustainability. 2020; 12 (16):6332.
Chicago/Turabian StyleFrancisco Calvo-Poyo; José Navarro-Moreno; Juan De Oña. 2020. "Road Investment and Traffic Safety: An International Study." Sustainability 12, no. 16: 6332.
Urban traffic levels can be reduced by drawing travelers away from private vehicles (PV) over to using public transport (PT). This modal change can be achieved by either introducing restrictions on PVs or by introducing measures which increase people’s satisfaction with PT. Many studies have shown that quality of service affects customer satisfaction which, in turn, influences the behavioral intentions toward the service; however, these studies have mainly concentrated on PT users. This paper intends to identify the main attributes which influence the perception PV users have about the PT services provided in Madrid (Spain). Ordinal logit models have been applied to an online panel survey with a sample size of 500 regular PV users. To achieve a comprehensive analysis and to deal with heterogeneity in perceptions, 15 models have been developed for the entire sample and for 14 user segments. The results indicate that the inhabitants are satisfied with PT in Madrid and that the most important PT service attributes for PV users are frequency, speed, and intermodality. Frequency is an important attribute for all the segments, whereas speed and intermodality are important for most of the segments. An analysis by segments has identified attributes which, although not important in most cases, are relevant for specific segments. Another interesting finding was that there are two attributes (accessibility and individual space) that were not found to be important in any segment. Findings from this study can be used to develop policies and recommendations for persuading more PV users to use the PT services.
Juan De Oña; Esperanza Estévez; Rocío De Oña. Perception of Public Transport Quality of Service among Regular Private Vehicle Users in Madrid, Spain. Transportation Research Record: Journal of the Transportation Research Board 2020, 2674, 213 -224.
AMA StyleJuan De Oña, Esperanza Estévez, Rocío De Oña. Perception of Public Transport Quality of Service among Regular Private Vehicle Users in Madrid, Spain. Transportation Research Record: Journal of the Transportation Research Board. 2020; 2674 (2):213-224.
Chicago/Turabian StyleJuan De Oña; Esperanza Estévez; Rocío De Oña. 2020. "Perception of Public Transport Quality of Service among Regular Private Vehicle Users in Madrid, Spain." Transportation Research Record: Journal of the Transportation Research Board 2674, no. 2: 213-224.
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.
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 StyleJuan 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 StyleJuan 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.
The objective of this paper is to analyze if there is any difference between the light rail systems in Spain according to whether they have been carried out through public financing or private financing (totally or partially). The importance of this study lies in the fact that, for decades, the public–private partnership has been proposed as an alternative to public financing of public transport projects in order to obtain additional financial resources, reduce the public deficit, and increase efficiency. However, there are hardly any detailed studies describing how these initiatives have turned out. Therefore, the present study analyzes if there is any difference in the main variables explaining the performance of light rail projects in Spain depending on their source of funding can be found. For this, the relationship between variables related to design, operation and costs of the projects, and the percentage of private financing were statistically analyzed. As the most relevant conclusion, we underline the fact that the investment per passenger increases when financing is completely private. This would indicate that the most cost-effective lines, from a social standpoint, were financed totally or partially by the public administrations, whereas the least beneficial ones for society were assigned to private enterprises. This finding provides an advance in the knowledge of the consequences of private participation in the financing of public transport projects, indicating, moreover, that the biggest beneficiaries of this type of projects might be the construction companies and the politicians involved.
Francisco Calvo-Poyo; Ramón Ferri-García; Alberto Hermoso; Juan De Oña. Private Financing or Not, That is the Question: Lessons from the Light Rail Systems in Spain. Urban Rail Transit 2018, 4, 211 -222.
AMA StyleFrancisco Calvo-Poyo, Ramón Ferri-García, Alberto Hermoso, Juan De Oña. Private Financing or Not, That is the Question: Lessons from the Light Rail Systems in Spain. Urban Rail Transit. 2018; 4 (4):211-222.
Chicago/Turabian StyleFrancisco Calvo-Poyo; Ramón Ferri-García; Alberto Hermoso; Juan De Oña. 2018. "Private Financing or Not, That is the Question: Lessons from the Light Rail Systems in Spain." Urban Rail Transit 4, no. 4: 211-222.
Service Quality (SQ) in Public Transport (PT) has been a crucial aspect to improve for years because of its strong influence on user satisfaction and its capacity to attract new passengers. Different techniques have been applied for analysing SQ and Structural Equation Modelling (SEM) is one of the most widely used due to its ability to address different kinds of variables and to model a whole phenomenon occurring at one time. Nevertheless, its confirmative nature requires previous knowledge, a hurdle that can be overcome by applying Bayesian Networks (BN) as a technique that learns directly from data without pre-assumptions. The aim of this paper is to apply a novel methodological approach in the field of SQ, based on a two-step process, which combines the techniques of BN and SEM, to model SQ in the Metropolitan Light Rail Transit (LRT) Service of Seville (Spain). In other words, in this paper, the proposed methodological approach has been applied to extract and confirm, directly from data and without necessity of assumptions, the possible relationships among the LRT service characteristics and how they are related with passengers’ overall SQ perception. For this purpose, firstly, a BN was automatically learnt from the data and allowed to establish relationships between SQ dimensions describing the service. SEM was then used to check the SQ model and the relationships between the dimensions extracted from the BN. The model fit parameters of SEM and its consistency with the real life expected scenario supported and validated the SQ model designed in this study. Furthermore, the different relationships among dimensions extracted from BN were analysed and support the usefulness and potential of this methodological process that could lead to the development and confirmation of new theories and models in any field of knowledge based on data and expert supervision.
Francisco Díez-Mesa; Rocio de Oña; Juan de Oña. Bayesian networks and structural equation modelling to develop service quality models: Metro of Seville case study. Transportation Research Part A: Policy and Practice 2018, 118, 1 -13.
AMA StyleFrancisco Díez-Mesa, Rocio de Oña, Juan de Oña. Bayesian networks and structural equation modelling to develop service quality models: Metro of Seville case study. Transportation Research Part A: Policy and Practice. 2018; 118 ():1-13.
Chicago/Turabian StyleFrancisco Díez-Mesa; Rocio de Oña; Juan de Oña. 2018. "Bayesian networks and structural equation modelling to develop service quality models: Metro of Seville case study." Transportation Research Part A: Policy and Practice 118, no. : 1-13.
Jose Luis Machado; Rocio De Oña; Francisco Diez-Mesa; Juan De Oña. Finding service quality improvement opportunities across different typologies of public transit customers. Transportmetrica A: Transport Science 2018, 14, 761 -783.
AMA StyleJose Luis Machado, Rocio De Oña, Francisco Diez-Mesa, Juan De Oña. Finding service quality improvement opportunities across different typologies of public transit customers. Transportmetrica A: Transport Science. 2018; 14 (9):761-783.
Chicago/Turabian StyleJose Luis Machado; Rocio De Oña; Francisco Diez-Mesa; Juan De Oña. 2018. "Finding service quality improvement opportunities across different typologies of public transit customers." Transportmetrica A: Transport Science 14, no. 9: 761-783.
Luigi Dell'Olio; Angel Ibeas; Juan de Oña; Rocio de Oña. Structural Equation Models. Public Transportation Quality of Service 2018, 141 -154.
AMA StyleLuigi Dell'Olio, Angel Ibeas, Juan de Oña, Rocio de Oña. Structural Equation Models. Public Transportation Quality of Service. 2018; ():141-154.
Chicago/Turabian StyleLuigi Dell'Olio; Angel Ibeas; Juan de Oña; Rocio de Oña. 2018. "Structural Equation Models." Public Transportation Quality of Service , no. : 141-154.
Luigi Dell’Olio; Angel Ibeas; Juan De Oña; Rocio De Oña. Quality in Public Transport Contracts ∗ ∗This chapter was coauthored by Marta Rojo and Hernán Gonzalo-Orden. Marta Rojo: University of Burgos, Spain. [email protected]; Hernán Gonzalo-Orden: University of Burgos, Spain. [email protected] Public Transportation Quality of Service 2018, 195 -222.
AMA StyleLuigi Dell’Olio, Angel Ibeas, Juan De Oña, Rocio De Oña. Quality in Public Transport Contracts ∗ ∗This chapter was coauthored by Marta Rojo and Hernán Gonzalo-Orden. Marta Rojo: University of Burgos, Spain. [email protected]; Hernán Gonzalo-Orden: University of Burgos, Spain. [email protected] Public Transportation Quality of Service. 2018; ():195-222.
Chicago/Turabian StyleLuigi Dell’Olio; Angel Ibeas; Juan De Oña; Rocio De Oña. 2018. "Quality in Public Transport Contracts ∗ ∗This chapter was coauthored by Marta Rojo and Hernán Gonzalo-Orden. Marta Rojo: University of Burgos, Spain. [email protected]; Hernán Gonzalo-Orden: University of Burgos, Spain. [email protected]" Public Transportation Quality of Service , no. : 195-222.
Luigi Dell’Olio; Angel Ibeas; Juan De Oña; Rocio De Oña. Designing a Survey for Public Transport Users. Public Transportation Quality of Service 2018, 49 -61.
AMA StyleLuigi Dell’Olio, Angel Ibeas, Juan De Oña, Rocio De Oña. Designing a Survey for Public Transport Users. Public Transportation Quality of Service. 2018; ():49-61.
Chicago/Turabian StyleLuigi Dell’Olio; Angel Ibeas; Juan De Oña; Rocio De Oña. 2018. "Designing a Survey for Public Transport Users." Public Transportation Quality of Service , no. : 49-61.
Luigi Dell'Olio; Angel Ibeas; Juan De Oña; Rocio De Oña. Public Participation Techniques and Choice of Variables. Public Transportation Quality of Service 2018, 33 -47.
AMA StyleLuigi Dell'Olio, Angel Ibeas, Juan De Oña, Rocio De Oña. Public Participation Techniques and Choice of Variables. Public Transportation Quality of Service. 2018; ():33-47.
Chicago/Turabian StyleLuigi Dell'Olio; Angel Ibeas; Juan De Oña; Rocio De Oña. 2018. "Public Participation Techniques and Choice of Variables." Public Transportation Quality of Service , no. : 33-47.
Luigi Dell’Olio; Angel Ibeas; Juan De Oña; Rocio De Oña. Beyond Perceived Quality. Public Transportation Quality of Service 2018, 181 -194.
AMA StyleLuigi Dell’Olio, Angel Ibeas, Juan De Oña, Rocio De Oña. Beyond Perceived Quality. Public Transportation Quality of Service. 2018; ():181-194.
Chicago/Turabian StyleLuigi Dell’Olio; Angel Ibeas; Juan De Oña; Rocio De Oña. 2018. "Beyond Perceived Quality." Public Transportation Quality of Service , no. : 181-194.
Luigi Dell’Olio; Angel Ibeas; Juan De Oña; Rocio De Oña. Geo-Social Differences in the Perception of Quality. Public Transportation Quality of Service 2018, 63 -83.
AMA StyleLuigi Dell’Olio, Angel Ibeas, Juan De Oña, Rocio De Oña. Geo-Social Differences in the Perception of Quality. Public Transportation Quality of Service. 2018; ():63-83.
Chicago/Turabian StyleLuigi Dell’Olio; Angel Ibeas; Juan De Oña; Rocio De Oña. 2018. "Geo-Social Differences in the Perception of Quality." Public Transportation Quality of Service , no. : 63-83.
Luigi Dell’Olio; Angel Ibeas; Juan De Oña; Rocio De Oña. Data Mining Approaches. Public Transportation Quality of Service 2018, 155 -179.
AMA StyleLuigi Dell’Olio, Angel Ibeas, Juan De Oña, Rocio De Oña. Data Mining Approaches. Public Transportation Quality of Service. 2018; ():155-179.
Chicago/Turabian StyleLuigi Dell’Olio; Angel Ibeas; Juan De Oña; Rocio De Oña. 2018. "Data Mining Approaches." Public Transportation Quality of Service , no. : 155-179.
Luigi Dell’Olio; Angel Ibeas; Juan De Oña; Rocio De Oña. Most Basic Methods. Public Transportation Quality of Service 2018, 85 -100.
AMA StyleLuigi Dell’Olio, Angel Ibeas, Juan De Oña, Rocio De Oña. Most Basic Methods. Public Transportation Quality of Service. 2018; ():85-100.
Chicago/Turabian StyleLuigi Dell’Olio; Angel Ibeas; Juan De Oña; Rocio De Oña. 2018. "Most Basic Methods." Public Transportation Quality of Service , no. : 85-100.