scholarly journals Extracting travel patterns from floating car data to identify electric mobility needs: A case study in a metropolitan area

Author(s):  
Giuseppe Brancaccio ◽  
Francesco Paolo Deflorio
Author(s):  
Danyang Sun ◽  
Fabien Leurent ◽  
Xiaoyan Xie

In this study we discovered significant places in individual mobility by exploring vehicle trajectories from floating car data. The objective was to detect the geo-locations of significant places and further identify their functional types. Vehicle trajectories were first segmented into meaningful trips to recover corresponding stay points. A customized density-based clustering approach was implemented to cluster stay points into places and determine the significant ones for each individual vehicle. Next, a two-level hierarchy method was developed to identify the place types, which firstly identified the activity types by mixture model clustering on stay characteristics, and secondly discovered the place types by assessing their profiles of activity composition and frequentation. An applicational case study was conducted in the Paris region. As a result, five types of significant places were identified, including home place, work place, and three other types of secondary places. The results of the proposed method were compared with those from a commonly used rule-based identification, and showed a highly consistent matching on place recognition for the same vehicles. Overall, this study provides a large-scale instance of the study of human mobility anchors by mining passive trajectory data without prior knowledge. Such mined information can further help to understand human mobility regularities and facilitate city planning.


2021 ◽  
Vol 63 E ◽  
pp. 128-150
Author(s):  
Bianca RADU

The goal of this article is to analyze the level of citizens’ trust in different public institutions during the second wave of COVID-19 pandemic, and the influence of citizens’ trust on their compliance with the measures adopted to prevent the spread of the virus. The research was conducted between November and December 2020 on a sample of 700 residents of Metropolitan Area of Cluj, Romania. During the time of data collection, Romania registered the largest number of daily COVID-19 cases, therefore, citizens’ compliance with preventive measures was crucial to contain the spread of the virus. Citizens reported high levels of compliance with preventive measures. However, even though people were recommended to avoid meetings with relatives and friends, and participation to private events with large number of people, respondents reported that did not fully comply with social distancing requirements. Citizens have highest level of trust in the public institutions at local level, medical institutions and County Committees for Emergency Situations. The research found that trust in public institutions influences the compliance with preventive measures; however, the influence is weak and the trust in different institutions influences differently policy compliance.


2016 ◽  
Vol 54 (3) ◽  
pp. 593-631 ◽  
Author(s):  
Sean M. Crotty

In cities across the United States, groups of mostly men congregate in public and semipublic spaces in hopes of being hired for short-term work. The particular spaces where laborers congregate each day are crucial to their economic and social fortunes, yet to date, there is limited research examining the spatial organization of these sites. In this article, I draw on relational perspectives on the production of space and governmentality practices to examine day-labor hiring spaces in the San Diego Metropolitan Area. Drawing on more than seven years of mixed-methods research, I argue that laborers collectively employ strategic visibility: a set of spatial practices that reduces the potential for conflict and ensures laborers’ continued access to the particular spaces on which their survival depends. This analysis suggests that laborers’ site-selection and spatial practices are driven by pragmatic, economic concerns, rather than fear of interactions with policing agencies and/or anti-immigrant residents.


2016 ◽  
Vol 223 ◽  
pp. 799-804 ◽  
Author(s):  
Giovanna Mangialardi ◽  
Gianluca Trullo ◽  
Francesco Valerio ◽  
Angelo Corallo

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