How Does Ride-Hailing Influence Individual Mode Choice? An Examination Using Longitudinal Trip Data from the Seattle Region

This study investigates the impacts of ride-hailing, which we define as mobility services consisting of both conventional taxis and app-based services offered by transportation network companies, on individual mode choice. We examine whether ride-hailing substitutes for or complements travel by driving, public transit, or walking and biking. The study overcomes some of the limitations of convenience samples or cross-sectional surveys used in past research by employing a longitudinal dataset of individual travel behavior and socio-demographic information. The data include three waves of travel log data collected between 2012 and 2018 in transit-rich areas of the Seattle region. We conducted individual-level panel data modeling, estimating independently pooled models and fixed-effect models of average daily trip count and duration for each mode, while controlling for various factors that affect travel behavior. The results provide evidence of substitution effects of ride-hailing on driving. We found that cross-sectionally, participants who used more ride-hailing tended to drive less, and that longitudinally, an increase in ride-hailing usage was associated with fewer driving trips. No significant associations were found between ride-hailing and public transit usage or walking and biking. Based on detailed travel data of a large population in a major U.S. metropolitan area, the study highlights the value of collecting and analyzing longitudinal data to understand the impacts of new mobility services.

Sosiaalisen median kommenttien analyysi multimodaalisesta näkökulmasta digitaalisen journalismin ja poliittisen viestinnän tutkimuksessa

Societal discussions flow on social media platforms that are studied by researchers in multiple ways and through various kinds of data sets that are extracted from them. In the studies of these discussions, multimodality unravels the semiotic modes that are communication resources through which meanings are socially and culturally created and expressed. In addition, the viewpoint of affordances can be used for viewing the functions of social media platforms and their discussions. Furthermore, this review was conducted to better understand how social media comments are researched from the perspective of multimodality in the context of digital journalism and political communication. A systematic literature review and qualitative content analysis were used as methods. The review discovered that the studies under review were not that high in multimodality and that text as an individual mode was the most common one. Furthermore, Twitter was the most researched platform and the one where the use of modes was more thoroughly explained.

The concept of subject and subjectivation in the philosophy of Spinoza: interpretation of G. Deleuze

This article explores the concept of subject in the works of Baruch Spinoza. The peculiarity of this research lies in the juxtaposition of the Cartesian concept of subject and the concept of subjectivation, which was developed in M. Foucault’s works of later period The goal is to disclose the specificity of the concept of subject in the works of Spinoza, formulate the key definitions used for revealing this topic, and to conduct a comparative analysis with the concept of subject of R. Descartes. The author examines such aspects of Spinozism as the interrelation between the higher subject and the mode of being, the concept of individuality and affects in interpretation of G. Deleuze, etc. The novelty of this research consists in providing a comprehensive analysis of some provisions of Spinoza's doctrine concerning the basic aspects of the concept of subject, as well as in determination of the crucial elements of the concept of subjectivation. The author concludes that Spinozism has shifted significantly from the Cartesian tradition. The first difference from Descartes lies in the ontological attitude of the Dutch philosopher, according to which a human can be viewed as a subject, not as a substance, but as a mode only. The second difference lies in introduction of the principle of dynamism, according to which the individual mode can have greater or lesser perfection, which could not comply with the permanence of Cartesian cogito.

Mathematical analysis of solar conduction dryer using reaction engineering approach

Solar conduction dryer (SCD) utilizes all three modes of heat transfer, viz., conduction, convection, and radiation. The effect of individual mode of heat transfer in SCD on agricultural product drying was studied using drying kinetics and basic heat transfer calculations. It was observed that the order of influence of mode of heat transfer mechanism as conduction followed by radiation and then convection. The correlation for relative activation energy (∆Ev/∆Ev,∞) as a function of moisture content (X−X∞), effective diffusivity (Deff), and mass transfer coefficient (hm) were determined for each mode of heat transfer. It was observed that the reaction engineering approach (REA) is appropriate tool to understand the physics of drying mechanism in SCD.

Self-organizing moral systems

This essay examines two different modes of reasoning about justice: an individual mode in which each individual judges what we all ought to do and a social mode in which we seek to reconcile our judgments of justice so that we can share common rules of justice. Social contract theory has traditionally emphasized the second, reconciliation mode, devising a central plan (the contract) to do so. However, I argue that because we disagree not only in our judgments of justice but also about the degree of reconciliation justice calls for, the social contract presupposes a single, controversial, answer to the proper degree of reconciliation. In place of the social contract’s ‘top-down’ approach, this article explores the idea of self-organizing moral systems, in which each individual, acting on her own views of justice (including the importance of reconciliation), responds to the decisions of others, forming systems of shared justice. Several basic agent-based models are explored to begin to understand the dynamics under which individuals with diverse views of justice may come to share common rules. It is found that, surprisingly, by increasing the diversity in a system, we can sometimes increase the possibility of agreement.

Seasonal Analysis of Cloud Objects in the High-Resolution Rapid Refresh (HRRR) Model Using Object-Based Verification

In this study, object-based verification using the method for object-based diagnostic evaluation (MODE) is used to assess the accuracy of cloud-cover forecasts from the experimental High-Resolution Rapid Refresh (HRRRx) model during the warm and cool seasons. This is accomplished by comparing cloud objects identified by MODE in observed and simulated Geostationary Operational Environmental Satellite 10.7-μm brightness temperatures for August 2015 and January 2016. The analysis revealed that more cloud objects and a more pronounced diurnal cycle occurred during August, with larger object sizes observed in January because of the prevalence of synoptic-scale cloud features. With the exception of the 0-h analyses, the forecasts contained fewer cloud objects than were observed. HRRRx forecast accuracy is assessed using two methods: traditional verification, which compares the locations of grid points identified as observation and forecast objects, and the MODE composite score, an area-weighted calculation using the object-pair interest values computed by MODE. The 1-h forecasts for both August and January were the most accurate for their respective months. Inspection of the individual MODE attribute interest scores showed that, even though displacement errors between the forecast and observation objects increased between the 0-h analyses and 1-h forecasts, the forecasts were more accurate than the analyses because the sizes of the largest cloud objects more closely matched the observations. The 1-h forecasts from August were found to be more accurate than those during January because the spatial displacement between the cloud objects was smaller and the forecast objects better represented the size of the observation objects.