While social scientists have invested a lot of energy in exploring the uneven distribution of social groups in the city, they have surprisingly limited their efforts to investigating social segregation at the place of residence. The present paper investigates social segregation over the 24 hours a day in the Paris region, taking into account how social groups move within a city throughout the day. From a large and precise daily travel survey carried out in the Paris region (EGT 2010) among 25,500 respondents aged 16 or over, we have computed segregation indices and maps hour by hour from respondents' educational and socioprofessional indicators. We then observed that social segregation within the Paris region decreases during the day and that the most segregated group (the upper class group) during the night remains the most segregated during the day. We also explored how the co-presence between various social groups evolves throughout the day. Finally, we highlighted some large variations in districts' social composition over 24 hours: districts with similar social composition during the night can differ deeply in their social composition during the daytime because of socially selective daily trips. Exploring social segregation around the clock helps in considering more dynamically place effects on individual behavior and targeting areas to implement interventions more connected with the real city rhythm.

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In recent years, a vast array of literature has shown that more and more city centres are affected by retail decline, be it in Japan, Belgium, Britain, the United States, or in France, while urban peripheries benefit from expanding retail activities. In this paper, we first rely on an international state of the art review, which allows us to identify recurring main factors that explain retail decline (such as sectoral concentration and competition from e-commerce), as well as more contextual factors bringing changes in urban settings and consumption practices (like demographic and labour market dynamics, the size of cities, or the location of municipalities within cities). Secondly, we examine how these factors, when combined, contribute to explain the decline in a superior diversity mix of retail activities in small and medium-sized French towns and cities, for four periods of about ten years each, from 1975 to 2014. The decline in shop diversity affects about a third of the municipalities observed in each period. Our hypotheses regarding the role of demographic size, employment mobility and location are then discussed and compared with the information given by the literature review.

Recent intensive eco-city development in China has been accompanied by rising enthusiasm for environmental sustainability indicators. Whilst there are calls for the indicators to be standardised, and criticism of the difficulties in applying them, little effort has been made to understand their scientific rationale. This article employs a comprehensive bibliometric analysis to investigate the use of environmental indicators from the Tianjin Eco-City Key Performance Indicators by the international scientific community working on urban sustainability. The findings draw a clear picture of the place of Tianjin Eco-City's indicators in the international scientific literature. China's ecological problems are found to attract interest not only from domestic researchers but also researchers outside the country. The indicators are used not only for urban planning and management but also for a wide range of urbanrelated and non-urban-related purposes. The scientific rationale of the eleven indicators is specifically addressed, revealing a number of underlying questions about the Tianjin Eco-City indicators.

Bibliometrics have become commonplace and widely used by authors and journals to monitor, to evaluate and to identify their readership in an ever-increasingly publishing scientific world. With this contribution, we aim to investigate the semantic proximities and evolution of the papers published in the online journal Cybergeo since its creation in 1996. We propose a dedicated interactive application that compares three strategies for building semantic networks, using keywords (self-declared themes), citations (areas of research using the papers published in Cybergeo) and full-texts (themes derived from the words used in writing). We interpret these networks and semantic proximities with respect to their temporal evolution as well as to their spatial expressions, by considering the countries studied in the papers under inquiry (Cybergeo being a journal of geography, most articles refer to a well-defined spatial envelope). Finally, we compare the three methods and conclude that their complementarity can help go beyond simple statistics to better understand the epistemological evolution of a scientific community and the readership target of the journal.

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This paper introduces an interactive web platform called 'SLIDER' to explore longitudinal data and an original graphical display called 'slide plot' which is conceived to visualize aggregated trajectories. The paper begins with a short state of the art of existing graphical displays used to analyze longitudinal data. Then, it presents the main characteristics of the proposed slide plot visualization. At last, it gives a technical description of the web application and the graphical display, both implemented using the R software and the shiny R package.Cet article présente une plateforme web interactive baptisée 'SLIDER' et un type de graphique original baptisé 'graphique en coulées' (slide plot), ces deux outils étant conçus pour explorer des données longitudinales. L'article commence par un court état de l'art des modes de visualisation existants pour analyser les données longitudinales. Il poursuit par une présentation de l'usage et des caractéristiques techniques du graphique en coulées. Enfin, il décrit la plateforme interactive mise en place avec le package shiny du logiciel R

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