Smartphone Applications Developed to Collect Mobility Data: A Review and SWOT Analysis

Pronello, Cristina; Kumawat, Pinky

doi:10.1007/978-3-030-55187-2_35

Cited by 4 publications

(2 citation statements)

References 25 publications

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“…The final aim of the research is to assist policy makers in defining targeted policies to induce sustainable travel choices. To this end, measuring the efficacy of such policies-as, for example, environment-focused transport education, giving incentives when people use sustainable modes, or the adoption of technology to engage people in pro-environmental behaviour with the help of smartphone apps [57]-would help us to understand whether people are made aware of their environmental footprints, and are thus more motivated to behave in an ecological and sustainable manner.…”

Section: Discussionmentioning

confidence: 99%

Validating Italian General Ecological Behaviour Questionnaire of Travellers Using Dichotomous Rasch Model

Kumawat

Pronello

2021

Sustainability

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Ecological behaviour and its impact on the environment are subjects of public concern and understanding individual behavioural measures to induce sustainable lifestyles is of extreme importance for policy makers to assess and promote sustainable mobility. To this end, a questionnaire with highly reliable items, evaluations of determinants and accurate measurements of ecological behaviour is a precondition for understanding the levers of behavioural change. This paper aims at an understanding of whether the dichotomous Rasch model provides a legitimate measurement of General Ecological Behaviour (GEB) using a 26-item questionnaire as a valid tool to assess the pro-environment behaviour of a large sample of users. A web questionnaire was administered using the snowball sampling plan in the Piedmont region (Italy), with a sample of 4473 respondents. The results suggest that using the dichotomous Rasch model, the proposed questionnaire is able to effectively measure the pro-environment behaviour of travellers. Unidimensionality, the perfect level of item reliability of 1, the very high item separation of 34.22, the absence of larger differential item functions, and the local independence are all good indicators of a valid model. This research shows how a good, validated, and reliable measurement of ecological behaviour would support public bodies in planning environment-focused transport policies thanks to the knowledge of which variables determine pro-environment behaviour. In addition, the proposed approach also allows us to measure the efficacy of the adopted policies.

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Section: Discussionmentioning

confidence: 99%

Validating Italian General Ecological Behaviour Questionnaire of Travellers Using Dichotomous Rasch Model

Kumawat

Pronello

2021

Sustainability

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“…Despite this fact, most publications represent field test and introductory apps (Allström et al 2017;Chambers et al 2017;Marra et al 2019;McCool et al 2021). In fact, a recent SWOT analysis of Smartphone-Based Travel Surveys (SBTS) found that the majority of research teams discontinued their applications following the initial project (Pronello and Kumawat 2020). Only recently have SBTS advanced to second rounds of data collection, or undertaken research beyond their own feasibility (Molloy et al 2020;Patterson et al 2019;Axhausen et al 2020).…”

Section: Introductionmentioning

confidence: 99%

Maximum interpolable gap length in missing smartphone-based GPS mobility data

2022

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Passively-generated location data have the potential to augment mobility and transportation research, as demonstrated by a decade of research. A common trait of these data is a high proportion of missingness. Naïve handling, including list-wise deletion of subjects or days, or linear interpolation across time gaps, has the potential to bias summary results. On the other hand, it is unfeasible to collect mobility data at frequencies high enough to reflect all possible movements. In this paper, we describe the relationship between the temporal and spatial aspects of these data gaps, and illustrate the impact on measures of interest in the field of mobility. We propose a method to deal with missing location data that combines a so-called top-down ratio segmentation method with simple linear interpolation. The linear interpolation imputes missing data. The segmentation method transforms the set of location points to a series of lines, called segments. The method is designed for relatively short gaps, but is evaluated also for longer gaps. We study the effect of our imputation method for the duration of missing data using a completely observed subset of observations from the 2018 Statistics Netherlands travel study. We find that long gaps demonstrate greater downward bias on travel distance, movement events and radius of gyration as compared to shorter but more frequent gaps. When the missingness is unrelated to travel behavior, total sparsity can reach levels of up to 20% with gap lengths of up to 10 min while maintaining a maximum 5% downward bias in the metrics of interest. Temporal aspects can increase these limits; sparsity occurring in the evening or night hours is less biasing due to fewer travel behaviors.

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Preface

Laszczyk

Kobashi

2022

Microsupercapacitors

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Smartphone Applications Developed to Collect Mobility Data: A Review and SWOT Analysis

Cited by 4 publications

References 25 publications

Validating Italian General Ecological Behaviour Questionnaire of Travellers Using Dichotomous Rasch Model

Validating Italian General Ecological Behaviour Questionnaire of Travellers Using Dichotomous Rasch Model

Maximum interpolable gap length in missing smartphone-based GPS mobility data

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