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In this paper, the heterogeneity in passengers' perceptions of airlines' services has been investigated by using a Random Parameter Mixed logit model. To calibrate and validate the proposed model, data from a Stated Preferences choice experiments was used. The survey was conducted online and involved the whole population of the University of Calabria (Italy). The experiments were designed by considering the main service attributes characterizing air travellers’ experience in its entirety: before, during, and after the flight. Differently from the previous studies using Stated Preferences survey, two different groups of choice experiments were designed: the former referring to before/after the flight stages, and the last referring to during the flight experience. For each group, specific attributes were considered. Final findings remark that flyers' perceptions on airline's services vary among the different service aspects and among individuals. Specifically, we found that curtesy of cabin crew, space available, temperature, cleanliness, service on board and ticket cost are attributes referring to the during the flight stage of the travel that showed heterogeneity in passenger's perceptions. On the contrary, the attributes referring to the before/after the flight stages for which we detected heterogeneity in passengers' perceptions are waiting time at check-in, delay of flight departure, and ticket cost.
Maria Grazia Bellizzi; Luigi Dell’Olio; Laura Eboli; Gabriella Mazzulla. Detecting passengers' heterogeneity on airlines’ services using SP data. Journal of Air Transport Management 2021, 96, 102123 .
AMA StyleMaria Grazia Bellizzi, Luigi Dell’Olio, Laura Eboli, Gabriella Mazzulla. Detecting passengers' heterogeneity on airlines’ services using SP data. Journal of Air Transport Management. 2021; 96 ():102123.
Chicago/Turabian StyleMaria Grazia Bellizzi; Luigi Dell’Olio; Laura Eboli; Gabriella Mazzulla. 2021. "Detecting passengers' heterogeneity on airlines’ services using SP data." Journal of Air Transport Management 96, no. : 102123.
Customer overall satisfaction regarding a public transport system is dependent on the satisfaction of the users with the attributes that make up the service, as well as the contribution that each of these attributes makes to explain the overall satisfaction. A common way of analysing the contribution of service attributes to explain overall satisfaction is through the use of ordered logit or probit models. This article presents an ordered logit model that considers the weighting of independent variables through the explicit importance calculated on the basis of a best-worst case 1 choice task. For the calculation of importance, a multinomial logit model has been estimated which considers the heterogeneity of the sample through systematic variations in user tastes. In this way, it is possible to establish a level of importance of each specific attribute for each type of user. The results show that the importance varies considerably depending on different socio-economic and mobility-base variables. On the other hand, the inclusion of the weighted variables in the ordered logit model improves its fit. Therefore, the results make possible to develop policies focused on improving satisfaction on specific user targets.
Iván Manuel Mendoza-Arango; Eneko Echaniz; Luigi Dell’Olio; Eduardo Gutiérrez-González. Weighted Variables Using Best-Worst Scaling in Ordered Logit Models for Public Transit Satisfaction. Sustainability 2020, 12, 5318 .
AMA StyleIván Manuel Mendoza-Arango, Eneko Echaniz, Luigi Dell’Olio, Eduardo Gutiérrez-González. Weighted Variables Using Best-Worst Scaling in Ordered Logit Models for Public Transit Satisfaction. Sustainability. 2020; 12 (13):5318.
Chicago/Turabian StyleIván Manuel Mendoza-Arango; Eneko Echaniz; Luigi Dell’Olio; Eduardo Gutiérrez-González. 2020. "Weighted Variables Using Best-Worst Scaling in Ordered Logit Models for Public Transit Satisfaction." Sustainability 12, no. 13: 5318.
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.
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 StyleMaria 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 StyleMaria 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.
The purpose of this document is to validate a new methodology useful for the estimation of road accidents resulting from possible driver distractions. This was possible through a statistical comparison made between real accident data between 2016 and 2018 in the city of Santander (Spain) and simulated data resulting from the application of the methodology on two areas of study. The methodology allows us to evaluate possible collisions starting from the knowledge of vehicular trajectories extrapolated from microsimulation. Studies show that there are good correlations between the real data and the simulated data. The results obtained show that the proposed methodology can be considered reliable and, therefore, it could be of fundamental importance for designers, since it would simplify the choice between different possible intervention scenarios, determining which is the least risky in terms of road safety.
Borja Alonso; Vittorio Astarita; Luigi Dell’Olio; Vincenzo Pasquale Giofrè; Giuseppe Guido; Marcella Marino; William Sommario; Alessandro Vitale. Validation of Simulated Safety Indicators with Traffic Crash Data. Sustainability 2020, 12, 925 .
AMA StyleBorja Alonso, Vittorio Astarita, Luigi Dell’Olio, Vincenzo Pasquale Giofrè, Giuseppe Guido, Marcella Marino, William Sommario, Alessandro Vitale. Validation of Simulated Safety Indicators with Traffic Crash Data. Sustainability. 2020; 12 (3):925.
Chicago/Turabian StyleBorja Alonso; Vittorio Astarita; Luigi Dell’Olio; Vincenzo Pasquale Giofrè; Giuseppe Guido; Marcella Marino; William Sommario; Alessandro Vitale. 2020. "Validation of Simulated Safety Indicators with Traffic Crash Data." Sustainability 12, no. 3: 925.
Investigating on transit users’ opinions represents a useful strategy to understand the level of quality of a service, and consequently pursuing the most convenient interventions for satisfying users and improving the service. On the other hand, an important issue for increasing the use of transit systems is linked to the necessity to attract new users, in addition to customize the current users. For this reason, it becomes fundamental to know also the perceptions of people who do not use transit systems with the aim to discover which are the reasons of their travel choices and particularly which are the most relevant transit service aspects for them. In this work, a Stated Preferences (SP) survey was conducted in order to investigate on both transit current and potential users’ preferences. This kind of survey allows potential users opinions to be captured due to its peculiarity of the possibility to propose to interviewees hypothetical services and not only real services, which could not be judged by people who do not use the service. The collected data were adopted to calibrate discrete choice models such as Random Parameters mixed Logit models and Latent Class models. These models allow heterogeneity of users’ opinions to be analysed. Calibrating this kind of models using data collected from both users and potential users permitted to capture the differences among users in their preferences about transit service quality, and the differences among potential users in their desired service quality. Model results showed some interesting findings concerning the differences of categories of users and potential users, and especially the diversity of preferences between people who know well the service and people who could become users even if they have not a real perception of it. We also calculated the Willingness-To-Pay (WTP), which allowed to discover that the WTP values obtained for the potential users are very much higher than the values obtained for the users. The proposed models can be also useful for the practitioners and transit operators to identify the best combination of the quality levels to assign to the various service aspects.
Maria Grazia Bellizzi; Luigi Dell'Olio; Laura Eboli; Gabriella Mazzulla. Heterogeneity in desired bus service quality from users’ and potential users’ perspective. Transportation Research Part A: Policy and Practice 2019, 132, 365 -377.
AMA StyleMaria Grazia Bellizzi, Luigi Dell'Olio, Laura Eboli, Gabriella Mazzulla. Heterogeneity in desired bus service quality from users’ and potential users’ perspective. Transportation Research Part A: Policy and Practice. 2019; 132 ():365-377.
Chicago/Turabian StyleMaria Grazia Bellizzi; Luigi Dell'Olio; Laura Eboli; Gabriella Mazzulla. 2019. "Heterogeneity in desired bus service quality from users’ and potential users’ perspective." Transportation Research Part A: Policy and Practice 132, no. : 365-377.
Customer overall satisfaction towards a public transport system depends mainly on two factors: how satisfied they are with different aspects that make up the service and how important each of the service aspects is to the customer. Traditionally, researchers use revealed preference surveys and ordered probit/logit models to estimate the contribution of each service attribute towards the overall satisfaction. This paper aims to verify the possibility of replacing the traditional method with the more cost-effective best-worst case 1 method, using a customer survey recently conducted in Santander, Spain. The results show that the satisfaction level obtained from these alternative methods are remarkably similar. The relative importance of each attribute delivered by the two methods differ, with the Best-Worst approach showing more intuitive and consistent results with the literature on public transport customer satisfaction. A regression method is developed to derive customer satisfaction with each service attribute from Best-Worst modelling results.
Eneko Echaniz; Chinh Q. Ho; Andres Rodriguez; Luigi Dell'olio. Comparing best-worst and ordered logit approaches for user satisfaction in transit services. Transportation Research Part A: Policy and Practice 2019, 130, 752 -769.
AMA StyleEneko Echaniz, Chinh Q. Ho, Andres Rodriguez, Luigi Dell'olio. Comparing best-worst and ordered logit approaches for user satisfaction in transit services. Transportation Research Part A: Policy and Practice. 2019; 130 ():752-769.
Chicago/Turabian StyleEneko Echaniz; Chinh Q. Ho; Andres Rodriguez; Luigi Dell'olio. 2019. "Comparing best-worst and ordered logit approaches for user satisfaction in transit services." Transportation Research Part A: Policy and Practice 130, no. : 752-769.
Knowing public transport service’s user satisfaction is essential to maintaining and increasing its quality and demand. Several studies have analysed the factors influencing users’ satisfaction, considering their perceptions of specific attributes of the service. However, other aspects, such as the spatial distribution of users, i.e., their origin neighbourhoods, could significantly affect their satisfaction with the service, showing social inequity patterns. This paper proposes a new methodology to evaluate whether these spatial differences in satisfaction exist. Using the city of Santander (Spain) as an example, ordered probit models have been estimated, linking the bus users’ overall satisfaction with variables that include their perceptions of the service and socio-demographic characteristics, and with dummy variables which classify each trip according to its neighbourhood origin. Our results confirm the existence of variations in satisfaction depending on the area of the city under study. In addition, user characterization variables, such as age, which were not significant when considering the city as a whole, proved to be influential in some areas. The estimated model, considering spatial differences, had a higher goodness of fit than that of models not taking zoning into account, and reproduced the overall satisfaction pattern presented in the study area with less error. The consideration of spatial differences in the modelling process enabled the detection of priority areas in which to implement measures to improve service quality and equity, thus increasing the use of public transport and supporting the promotion of a more sustainable mobility.
Rubén Cordera; Soledad Nogués; Esther González-González; Luigi Dell’Olio. Intra-Urban Spatial Disparities in User Satisfaction with Public Transport Services. Sustainability 2019, 11, 5829 .
AMA StyleRubén Cordera, Soledad Nogués, Esther González-González, Luigi Dell’Olio. Intra-Urban Spatial Disparities in User Satisfaction with Public Transport Services. Sustainability. 2019; 11 (20):5829.
Chicago/Turabian StyleRubén Cordera; Soledad Nogués; Esther González-González; Luigi Dell’Olio. 2019. "Intra-Urban Spatial Disparities in User Satisfaction with Public Transport Services." Sustainability 11, no. 20: 5829.
Pollutant emissions, noise and other externalities generated by heavy infrastructures, might impact negatively on real estate values. To test this effect, this paper presents the results of an analysis based on Hedonic Linear Regression, Spatial Hedonic Linear Regression and Hedonic Geographically Weighted Regression models, carried out for the study case of the province of Taranto (Italy). The biggest steel factory in Europe is located here, and some population movements have been observed in relation to the high levels of pollution in the areas close to the factory. The variables used to measure the impact of externalities are of two types: objective indicators such as the distance from the industrial area and the levels of NO2 and PM10, and subjective indicators such as the level of pollution and noise perceived by the population. Results show that the distance from factory was a positive factor in the real estate prices although not always clearly significant, and among pollution indicators, only high levels of NO2 had a negative effect. The accessibility to employment did not prove to be a significant variable in the real estate prices, which indicates that factors related to environmental quality have a greater weight in residential location. Moreover, models including subjective indicators do not show better estimates than models considering only objective indicators. Finally, spatial regression models were useful to analyse the spatial dependence and spatial heterogeneity observed in the data.
Ruben Cordera; Vincenza Chiarazzo; Michele Ottomanelli; Luigi Dell’Olio; Ángel Ibeas; Enza Chiarazzo. The impact of undesirable externalities on residential property values: spatial regressive models and an empirical study. Transport Policy 2019, 80, 177 -187.
AMA StyleRuben Cordera, Vincenza Chiarazzo, Michele Ottomanelli, Luigi Dell’Olio, Ángel Ibeas, Enza Chiarazzo. The impact of undesirable externalities on residential property values: spatial regressive models and an empirical study. Transport Policy. 2019; 80 ():177-187.
Chicago/Turabian StyleRuben Cordera; Vincenza Chiarazzo; Michele Ottomanelli; Luigi Dell’Olio; Ángel Ibeas; Enza Chiarazzo. 2019. "The impact of undesirable externalities on residential property values: spatial regressive models and an empirical study." Transport Policy 80, no. : 177-187.
This article presents a behavioural analysis of tourists visiting a leisure area in the north of Spain to evaluate their reaction when faced with a series of tariffs and alternative transport modes to estimate potential income for reinvestment in sustainable mobility policies. The active involvement of the different groups affected by the changes has led to a series of policies able to generate income for financing a new urban transport service, park and ride installations and their associated vehicles. These changes resulted in a noteworthy improvement in the quality of life of the local residents and an improved, less intense tourist experience.
Gonzalo Antolin; Borja Alonso; Rubén Cordera; Luigi Dell’Olio. The Effect of Introducing Parking Policies on Managing Mobility to Beaches in Touristic Coastal Towns. Sustainability 2019, 11, 3528 .
AMA StyleGonzalo Antolin, Borja Alonso, Rubén Cordera, Luigi Dell’Olio. The Effect of Introducing Parking Policies on Managing Mobility to Beaches in Touristic Coastal Towns. Sustainability. 2019; 11 (13):3528.
Chicago/Turabian StyleGonzalo Antolin; Borja Alonso; Rubén Cordera; Luigi Dell’Olio. 2019. "The Effect of Introducing Parking Policies on Managing Mobility to Beaches in Touristic Coastal Towns." Sustainability 11, no. 13: 3528.
Collecting data to obtain insights into customer satisfaction with public transport services is very time-consuming and costly. Many factors such as service frequency, reliability and comfort during the trip have been found important drivers of customer satisfaction. Consequently, customer satisfaction surveys are quite lengthy, resulting in many interviews not being completed within the aboard time of the passengers/respondents. This paper questions as to whether it is possible to reduce the amount of information collected without a compromise on insights. To address this research question, we conduct a comparative analysis of different Ordered Probit models: one with a full list of attributes versus one with partial set of attributes. For the latter, missing information was imputed using three different methods that are based on modes, single imputations using predictive models and multiple imputation. Estimation results show that the partial model using the multiple imputation method behaves in a similar way to the model that is based on the full survey. This finding opens an opportunity to reduce interview time which is critical for most customer satisfaction surveys.
Eneko Echaniz; Chinh Ho; Andres Rodriguez; Luigi Dell'Olio. Modelling user satisfaction in public transport systems considering missing information. Transportation 2019, 47, 2903 -2921.
AMA StyleEneko Echaniz, Chinh Ho, Andres Rodriguez, Luigi Dell'Olio. Modelling user satisfaction in public transport systems considering missing information. Transportation. 2019; 47 (6):2903-2921.
Chicago/Turabian StyleEneko Echaniz; Chinh Ho; Andres Rodriguez; Luigi Dell'Olio. 2019. "Modelling user satisfaction in public transport systems considering missing information." Transportation 47, no. 6: 2903-2921.
Pierluigi Coppola; Luigi Dell'olio; Angel Ibeas Portilla. Rediscovery the social role of transport infrastructures. Transportation Research Part A: Policy and Practice 2018, 125, 169 -170.
AMA StylePierluigi Coppola, Luigi Dell'olio, Angel Ibeas Portilla. Rediscovery the social role of transport infrastructures. Transportation Research Part A: Policy and Practice. 2018; 125 ():169-170.
Chicago/Turabian StylePierluigi Coppola; Luigi Dell'olio; Angel Ibeas Portilla. 2018. "Rediscovery the social role of transport infrastructures." Transportation Research Part A: Policy and Practice 125, no. : 169-170.
Gonzalo Antolin; Ángel Ibeas; Borja Alonso; Luigi Dell'Olio. Modelling parking behaviour considering users heterogeneities. Transport Policy 2018, 67, 23 -30.
AMA StyleGonzalo Antolin, Ángel Ibeas, Borja Alonso, Luigi Dell'Olio. Modelling parking behaviour considering users heterogeneities. Transport Policy. 2018; 67 ():23-30.
Chicago/Turabian StyleGonzalo Antolin; Ángel Ibeas; Borja Alonso; Luigi Dell'Olio. 2018. "Modelling parking behaviour considering users heterogeneities." Transport Policy 67, no. : 23-30.
Eneko Echaniz; Luigi Dell'Olio; Ángel Ibeas. Modelling perceived quality for urban public transport systems using weighted variables and random parameters. Transport Policy 2018, 67, 31 -39.
AMA StyleEneko Echaniz, Luigi Dell'Olio, Ángel Ibeas. Modelling perceived quality for urban public transport systems using weighted variables and random parameters. Transport Policy. 2018; 67 ():31-39.
Chicago/Turabian StyleEneko Echaniz; Luigi Dell'Olio; Ángel Ibeas. 2018. "Modelling perceived quality for urban public transport systems using weighted variables and random parameters." Transport Policy 67, no. : 31-39.
The railways are a priority transport mode for the European Union given their safety record and environmental sustainability. Therefore it is important to have quantitative models available which allow passenger demand for rail travel to be simulated for planning purposes and to evaluate different policies. The aim of this article is to specify and estimate trip distribution models between railway stations by considering the most influential demand variables. Two types of models were estimated: Poisson regression and gravity. The input data were the ticket sales and the prices between stations on a regional line in Cantabria (Spain) which were provided by the Spanish railway infrastructure administrator (ADIF – RAM). The models have also considered the possible existence of spatial effects between train stations. The results show that the models have a good fit to the available data, especially the gravity models constrained by origins and destinations. Furthermore, the gravity models which considered the existence of spatial effects between stations had a significantly better fit and provided a more realistic journey pattern in a future scenario than the Poisson models and the gravity models that did not consider these effects. The proposed models have therefore been shown to be good support tools for decision making in the field of railway planning.
Rubén Cordera; Roberto Sañudo; Luigi Dell'Olio; Ángel Ibeas. Trip distribution model for regional railway services considering spatial effects between stations. Transport Policy 2018, 67, 77 -84.
AMA StyleRubén Cordera, Roberto Sañudo, Luigi Dell'Olio, Ángel Ibeas. Trip distribution model for regional railway services considering spatial effects between stations. Transport Policy. 2018; 67 ():77-84.
Chicago/Turabian StyleRubén Cordera; Roberto Sañudo; Luigi Dell'Olio; Ángel Ibeas. 2018. "Trip distribution model for regional railway services considering spatial effects between stations." Transport Policy 67, no. : 77-84.
Empirical evidence supports the hypothesis that greater accessibility to opportunities can have a positive impact on real estate values. However, this capitalisation of the benefits of accessibility could vary between different study areas. This research estimates hedonic and spatial hedonic models in two urban areas to compare if differences can be found in the impact accessibility using public transport has on residential property values. The two study areas chosen for comparison are a medium sized city without any major mobility problems (Santander, Spain) and a very large city with major congestion problems (Rome, Italy). The estimated hedonic models have considered the possible presence of spatial effects, a common occurrence with real estate data which may generate dependency in the residuals of hedonic models. Accessibility has been measured using two types of indicators: relative and gravity based. The results confirm that accessibility was a positive factor on property prices in both cities, although in Santander this was only true using the relative indicator to the city centre. These results are relevant for supporting the introduction of value capture policies which provide finance for new projects to extend and encourage greater use of public transport.
Ruben Cordera; Pierluigi Coppola; Luigi Dell'Olio; Ángel Ibeas. The impact of accessibility by public transport on real estate values: A comparison between the cities of Rome and Santander. Transportation Research Part A: Policy and Practice 2018, 125, 308 -319.
AMA StyleRuben Cordera, Pierluigi Coppola, Luigi Dell'Olio, Ángel Ibeas. The impact of accessibility by public transport on real estate values: A comparison between the cities of Rome and Santander. Transportation Research Part A: Policy and Practice. 2018; 125 ():308-319.
Chicago/Turabian StyleRuben Cordera; Pierluigi Coppola; Luigi Dell'Olio; Ángel Ibeas. 2018. "The impact of accessibility by public transport on real estate values: A comparison between the cities of Rome and Santander." Transportation Research Part A: Policy and Practice 125, no. : 308-319.
Over the past few years, several countries, including Spain, have been experiencing a period of economic recession. As a result, these governments have reduced their budgets for transport infrastructures (both construction and maintenance operations). The main objective of this study is to analyze whether these budget reductions have an effect on increased accident rates and to perform an assessment of their real economic benefit. Thus, we analyze whether significant changes over recent years are perceptible in the road safety indexes in Spain, in terms of risk, accident fatality, and accident severity. The relation between lower budgets and higher road safety indices is analyzed through linear regression techniques. The results show a strong relation between the Risk Index and the maintenance budget, measured as an average of the last years. In addition, a final economic assessment demonstrates that this reduction in investment had no real economic benefits, especially as the costs of the accidents exceeded the savings in the conservation plans.
M. Rojo; H. Gonzalo-Orden; A. Linares; L. Dell’Olio. Impact of a Lower Conservation Budget on Road Safety Indices. Journal of Advanced Transportation 2018, 2018, 1 -9.
AMA StyleM. Rojo, H. Gonzalo-Orden, A. Linares, L. Dell’Olio. Impact of a Lower Conservation Budget on Road Safety Indices. Journal of Advanced Transportation. 2018; 2018 ():1-9.
Chicago/Turabian StyleM. Rojo; H. Gonzalo-Orden; A. Linares; L. Dell’Olio. 2018. "Impact of a Lower Conservation Budget on Road Safety Indices." Journal of Advanced Transportation 2018, no. : 1-9.
Although the need for more environmentally friendly vehicles was recognized some decades ago, this new market has not yet established itself. Consumer behavior needs to be studied to ascertain when people will decide to purchase hybrid or electric vehicles rather than conventional ones. An in-depth review of the state-of-the-art has identified existing deficiencies and these are addressed in this paper, proposing a new approach that is applied to the case of Santander in Spain. Emphasis is placed on the role of citizens in researching the local market and their requirements with respect to such vehicles; our model assumes variability in user preferences, an utmost requirement as concluded from the literature review. Results suggest that the highest demand for cleaner vehicles would be achieved in two ways: firstly, by penalizing conventional vehicles in terms of costs/km; secondly, by providing incentives directed at lowering the purchasing price of hybrid and electric vehicles. Finally, as demand becomes more elastic, the preferred strategy should initially focus on hybrid vehicles.
Ruben Cordera; Luigi Dell'olio; Angel Ibeas; Juan De Dios Ortúzar. Demand for environmentally friendly vehicles: A review and new evidence. International Journal of Sustainable Transportation 2018, 13, 210 -223.
AMA StyleRuben Cordera, Luigi Dell'olio, Angel Ibeas, Juan De Dios Ortúzar. Demand for environmentally friendly vehicles: A review and new evidence. International Journal of Sustainable Transportation. 2018; 13 (3):210-223.
Chicago/Turabian StyleRuben Cordera; Luigi Dell'olio; Angel Ibeas; Juan De Dios Ortúzar. 2018. "Demand for environmentally friendly vehicles: A review and new evidence." International Journal of Sustainable Transportation 13, no. 3: 210-223.
Many university campuses are suffering from serious mobility problems resulting from excessive use of the private car by students, teachers and administrative staff. This article proposes a methodology based on a revealed and stated preferences survey aimed at estimating the importance of different variables on users mobility choices in order to simulate their reaction to policies such as the introduction of new modes of transport or charging for on campus parking. This estimation was based on a Mixed Logit model considering the possible presence of heterogeneity in user preferences. The introduction of these results into an optimization model has also allowed us to calculate the optimal parking fare that should be charged which would minimize the number of free spaces on campus or maximize the income received. This methodology has been applied to a case study at the campus of the University of Cantabria (Spain). The elasticities calculated using a Mixed Logit model confirm that setting a fare for parking on campus would be a serious disincentive against private car use in favor of more sustainable transport modes. Furthermore, the optimization model allowed us to calculate the fare that would maximize the income obtained from the parking spaces, an income that could then be used to strengthen the campus sustainable mobility policies.
Luigi Dell’Olio; Ruben Cordera; Angel Ibeas; Rosa Barreda; Borja Alonso; Jose Luis Moura. A methodology based on parking policy to promote sustainable mobility in college campuses. Transport Policy 2018, 80, 148 -156.
AMA StyleLuigi Dell’Olio, Ruben Cordera, Angel Ibeas, Rosa Barreda, Borja Alonso, Jose Luis Moura. A methodology based on parking policy to promote sustainable mobility in college campuses. Transport Policy. 2018; 80 ():148-156.
Chicago/Turabian StyleLuigi Dell’Olio; Ruben Cordera; Angel Ibeas; Rosa Barreda; Borja Alonso; Jose Luis Moura. 2018. "A methodology based on parking policy to promote sustainable mobility in college campuses." Transport Policy 80, no. : 148-156.
Borja Alonso; Rosa Barreda; Luigi Dell'Olio; Angel Ibeas. Modelling user perception of taxi service quality. Transport Policy 2018, 63, 157 -164.
AMA StyleBorja Alonso, Rosa Barreda, Luigi Dell'Olio, Angel Ibeas. Modelling user perception of taxi service quality. Transport Policy. 2018; 63 ():157-164.
Chicago/Turabian StyleBorja Alonso; Rosa Barreda; Luigi Dell'Olio; Angel Ibeas. 2018. "Modelling user perception of taxi service quality." Transport Policy 63, no. : 157-164.
Ángel Ibeas; Luigi Dell’Olio; José Luis Moura. Parking Behavior and Policy. Journal of Advanced Transportation 2018, 2018, 1 -2.
AMA StyleÁngel Ibeas, Luigi Dell’Olio, José Luis Moura. Parking Behavior and Policy. Journal of Advanced Transportation. 2018; 2018 ():1-2.
Chicago/Turabian StyleÁngel Ibeas; Luigi Dell’Olio; José Luis Moura. 2018. "Parking Behavior and Policy." Journal of Advanced Transportation 2018, no. : 1-2.