A Theory of Activity Scheduling Behavior

1981 ◽  
Vol 13 (6) ◽  
pp. 703-718 ◽  
Author(s):  
D Damm ◽  
S R Lerman

Recognizing that travel is a demand derived from individuals' desires to undertake out-of-home activities, researchers in the area of travel demand have become increasingly interested in analyzing and predicting individuals' decisions about activity participation. This paper formulates a theory of activity scheduling for urban workers. In this theory, each worker chooses whether or not to participate in an out-of-home, nonwork activity in each of five blocks of time defined around their obligatory trip to work. In addition, conditional on the decision to participate in any particular time block, the chosen duration of participation is analyzed. The econometric problems of operationalizing the theory are resolved, and the resulting model is applied to analyze the scheduling behavior of a sample of workers in the Minneapolis-St Paul metropolitan area. This case study suggests some significant directions for further research on activity analysis.

Electronics ◽  
2021 ◽  
Vol 10 (14) ◽  
pp. 1714
Author(s):  
Mohamed Marey ◽  
Hala Mostafa

In this work, we propose a general framework to design a signal classification algorithm over time selective channels for wireless communications applications. We derive an upper bound on the maximum number of observation samples over which the channel response is an essential invariant. The proposed framework relies on dividing the received signal into blocks, and each of them has a length less than the mentioned bound. Then, these blocks are fed into a number of classifiers in a parallel fashion. A final decision is made through a well-designed combiner and detector. As a case study, we employ the proposed framework on a space-time block-code classification problem by developing two combiners and detectors. Monte Carlo simulations show that the proposed framework is capable of achieving excellent classification performance over time selective channels compared to the conventional algorithms.


2002 ◽  
pp. 323-352
Author(s):  
F. Freire ◽  
E. Williams ◽  
A. Azapagic ◽  
R. Clift ◽  
G. Stevens ◽  
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Keyword(s):  

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

2020 ◽  
Vol 8 (1) ◽  
pp. 153-162 ◽  
Author(s):  
Sathita Malaitham ◽  
Atsushi Fukuda ◽  
Varameth Vichiensan ◽  
Vasinee Wasuntarasook

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