Spatial association techniques for analysing trip distribution in an urban area

n/

A stated preference survey for evaluating pedestrians’ expectations on walkways

Trabajo presentado en: R-Evolucionando el transporte, XIV Congreso de Ingeniería del Transporte (CIT 2021), realizado en modalidad online los días 6, 7 y 8 de julio de 2021, organizado por la Universidad de BurgosPedestrian mobility is the oldest form of transport in urban areas. Due to the increase of private vehicles, transport planning has mainly focused on traffic congestion problems, neglecting pedestrian mobility and public transport. Given the current situation of pollution and climate change, walkability is again one of the most important transport modes to achieve urban sustainable mobility in the next future. As reported in the literature, city dwellers are willing to walk to carry out daily activities but complain about the lack of adequate pedestrian infrastructure. For promoting pedestrian mobility, the quality levels of pedestrian paths should be increased. Many researchers suggest methodologies for determining the pedestrian level of service. Among these, some studies consider both path physical characteristics and users' perception about the walkway. Investigating on users’ perception represents a good strategy for implementing interventions aimed at increasing the quality of service. In addition to users’ perception about the different characteristics of the pedestrian path, it is also necessary to take over the importance that users assign to each aspect. This work proposes the design of a Stated Preferences survey and the analysis of the preliminary results. A questionnaire was addressed to a sample of 240 pedestrians on a walkway located in the University Campus of Rende (Italy). The aim is recording pedestrians’ perception about the characteristics of the path and detecting the choices they would make in a hypothetical scenario. Then, the collected data has been analysed by means of a discrete choice model for assessing the weights assigned by pedestrians to each aspect included in the analysis. The results have allowed the most relevant pedestrian path aspects for users to be identified. Just on these aspects it is necessary to intervene in order to make pedestrian paths increasingly attractive and to encourage users towards active mobility.Support from “POR Calabria FESR-FSE 2014/2020 – Linea B) Azione 10.5.12” is gratefully acknowledged

Factors influencing accident severity: an analysis by road accident type

n/

Air Transport Passengers' Satisfaction: an Ordered Logit Model

Abstract 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

How usual behaviour can affect perceived drivers' psychological state while driving

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

Latent factors on the assessment of service quality in an Italian peripheral airport

n/

Passengers' Expectations on Airlines' Services: Design of a Stated Preference Survey and Preliminary Outcomes

ABSTRACT: 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

Exploring the Factors that Impact on Transit Use through an Ordered Probit Model: the Case of Metro of Madrid

[EN] 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.Eboli, L.; Forciniti, C.; Mazzulla, G.; Calvo, F. (2016). Exploring the Factors that Impact on Transit Use through an Ordered Probit Model: the Case of Metro of Madrid. En XII Congreso de ingeniería del transporte. 7, 8 y 9 de Junio, Valencia (España). Editorial Universitat Politècnica de València. 992-999. https://doi.org/10.4995/CIT2016.2015.3205OCS99299

How usual behaviour can affect perceived drivers’ psychological state while driving

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. First published online: 13 Jul 201

An Ordered Regression Model to Predict Transit Passengers’ Behavioural Intentions

[EN] 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.De Oña, J.; De Oña, R.; Eboli, L.; Forciniti, C.; Mazzulla, G. (2016). An Ordered Regression Model to Predict Transit Passengers’ Behavioural Intentions. En XII Congreso de ingeniería del transporte. 7, 8 y 9 de Junio, Valencia (España). Editorial Universitat Politècnica de València. 1008-1015. https://doi.org/10.4995/CIT2016.2015.3199OCS1008101