Modelling perceived quality for urban public transport systems using weighted variables and random parameters

Echániz, Eneko; dell’Olio, Luigi; Ibeas, Ángel

doi:10.1016/j.tranpol.2017.05.006

Cited by 38 publications

(32 citation statements)

References 35 publications

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“…The attributes included in each model have been selected following a step-by-step process until the resulting parameters have the correct sign (positive sign except for the constant that must be negative (Echaniz et al 2017)) and are statistically significant. This can be seen in where t-values are included in parentheses.…”

Section: Modelling Resultsmentioning

confidence: 99%

“…Another line of research in this literature focused on improving the method used for modelling the data collected. A variety of modelling methods have been used such as basic statistics (Eboli and Mazzulla 2011), Ordered Data Models (Bordagaray et al 2014;dell'Olio et al 2010;Echaniz et al 2017), structural equations model (Das et al 2017;de Oña et al 2013;Rahman et al 2016) and decision tree (Hernandez et al 2016;Machado-León et al 2017;de Oña et al 2016;Tsami and Nathanail 2017). Recently, we see some exceptions that aim to optimize the data collection.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The data collection process is essential part of any customer satisfaction study that usually use on-board intercept followed by face to face interviews (Bordagaray et al 2014;dell'Olio et al 2010;Echaniz et al 2017) or self-administered questionnaire accessible via QR codes or URL links provided at intercept at public transport stops/stations where the passengers board or alight (Guirao et al 2015). As for customer satisfaction surveys, the survey duration is a key factor for obtaining valid and quality responses.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Regarding the modelling methodology, several studies have shown (Bordagaray et al 2014;dell'Olio et al 2010;Dell'Olio et al 2011;Echaniz et al 2017;Rojo et al 2013) that ordered data models are very adequate to model customer satisfaction with public transport services. These models requires a series of very specific data, which are composed by a dependent variable, the overall satisfaction of the service, and independent variables, the attributes of the service.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In both cases the efficiency of the survey process was affected. The minimum sample size was set in 700 completed surveys, being calculated by using equation 5 (Bordagaray et al 2014;dell'Olio et al 2010;Echaniz et al 2018). For which, the most conservative value was taken: p =0.5.…”

Section: Satisfaction Surveymentioning

confidence: 99%

See 4 more Smart Citations

Modelling user satisfaction in public transport systems considering missing information

Echániz

Rodríguez

et al. 2019

Transportation

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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 vs. 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.

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Section: Modelling Resultsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Satisfaction Surveymentioning

confidence: 99%

See 3 more Smart Citations

Modelling user satisfaction in public transport systems considering missing information

Echániz

Rodríguez

et al. 2019

Transportation

Self Cite

View full text Add to dashboard Cite

show abstract

User expectations and perceptions towards new public transport infrastructure: evaluating a cable car in Bogotá

et al. 2022

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Cable cars are a viable alternative to improve citizens’ accessibility in zones with limitations on urban public transport supply due to the topography. In Latin America, such systems have recently been implemented in zones with high levels of poverty and vulnerability. Although the social implications of their implementation are relevant, individual expectations of these systems and how current changes in travel conditions and quality of life are perceived have not been widely reported in the literature. This paper aims to evaluate users’ expectations and perceptions of a new cable car in the southern periphery of Bogotá (Colombia). We conducted a panel survey before (n = 341) and after (n = 301) the cable car started operations to evaluate the ranking of preferences toward a set of possible benefits of the project. We estimated discrete choice models to analyze the statistical differences between the expectations and perceptions before and after changes. Results suggest that travel time reductions, comfort improvements, and in-vehicle security are the benefits most valued by the users. Even though the project meets expectations of these aspects, it seems to fall short in expectations of reductions of pollution. Individuals’ experience with the cable car shapes their perceptions of the system. We found that perceptions differ between those who have used the service at least once and those who never did. Policy implications derived from this study might be of interest to decision-makers seeking to guarantee the public acceptability of urban projects.

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Identifying key elements for user satisfaction of bike-sharing systems: a combination of direct and indirect evaluations

2022

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Bike-sharing systems (BSS) are gaining popularity in cities worldwide, as a part of a generalized strategy to mitigate the problems derived from motorized transportation (congestion, pollution, noise, etc.). These systems have proved to have positive effects on cities, moreover, many of them have reached a performance peak and require improvements to attract/retain users and compete against emerging soft mobility alternatives. Whilst there are broad studies evaluating BSS demand and design, less attention has been paid to user satisfaction and the complexities underlying the relationships between the system attributes importance. This study proposes a novel combination of two methodologies for satisfaction assessment that allows decision-makers to identify the most influential system attributes on user satisfaction. The combined methods are the direct, explicit, Importance Performance Analysis (IPA), and the nonlinear, implicit Three-Factor Theory (3FT), which combined generate a three-dimensional scheme that facilitates the comprehension of the results. The combination was applied to a dataset of Madrid´s BSS to identify the attributes that perform poorly, and then assess their implicit influence on satisfaction to establish improvement priorities. The results suggest that station occupancy and bicycle availability and totem functioning are key service attributes to enhance satisfaction. Also, the combination of the two methodologies makes it possible to differentiate that maintenance is a priority for subscribers and network extension for occasional users. The pedelec system is a key attribute that might help overcome Madrid´s unfavorable cycling environment. This user-centric evaluation is a valuable tool that guides precise measure implementation, service operation, future design, and planning oriented to increase ridership.

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Modelling perceived quality for urban public transport systems using weighted variables and random parameters

Cited by 38 publications

References 35 publications

Modelling user satisfaction in public transport systems considering missing information

Modelling user satisfaction in public transport systems considering missing information

User expectations and perceptions towards new public transport infrastructure: evaluating a cable car in Bogotá

Identifying key elements for user satisfaction of bike-sharing systems: a combination of direct and indirect evaluations

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