A Position-Sensitive Sequence-Alignment Method Illustrated for Space–Time Activity-Diary Data

Short-duration transient seismic events known as low-frequency earthquakes (LFEs) are a component of the slow earthquakes family observed in the transition zone, at the root of seismogenic regions of the subduction zones or active faults. LFEs are the signature of impulse seismic energy radiation associated to and often mixed within complex tectonic tremor signal. Detailed analysis and characterization of LFE space-time activity in relation to other slow earthquake phenomena can provide important information about the state and the processes of fault interface.We derive a catalog of LFEs in western Shikoku (Japan) by applying a full waveform coherency-based detection and location method to the 4-year continuous data covering the period of 2013-2016 and recorded at Hi-net seismic stations of NIED. The obtained catalog of over 150,000 detected events allows looking into the details of LFE space-time activity during the tectonic tremor sequences and inter-sequence periods.We use this catalogue of LFEs to perform a systematic statistical analysis of the event occurrence patterns by applying correlation and clustering analysis to infer the large-scale (long temporal ~ 1-2 day duration) space-time characteristics and interaction patterns of activity and its potential relation to the structural complexity of the subducting plate. We also analyze the correlation between the migration of clustered LFE activity during energetic tremor sequences and short-term slow slip events occurring in the area during the analyzed period.

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Estimated effects of air pollution and space-time-activity on cardiopulmonary outcomes in healthy adults: A repeated measures study

Environment International ◽

10.1016/j.envint.2017.11.024 ◽

2018 ◽

Vol 111 ◽

pp. 247-259 ◽

Cited By ~ 25

Author(s):

Tom Cole-Hunter ◽

Audrey de Nazelle ◽

David Donaire-Gonzalez ◽

Nadine Kubesch ◽

Glòria Carrasco-Turigas ◽

...

Keyword(s):

Air Pollution ◽

Repeated Measures ◽

Space Time ◽

Healthy Adults ◽

Time Activity ◽

Cardiopulmonary Outcomes

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Space-Time User Benefit and Utility Accessibility Measures for Individual Activity Schedules

Transportation Research Record Journal of the Transportation Research Board ◽

10.3141/1854-07 ◽

2003 ◽

Vol 1854 (1) ◽

pp. 62-73 ◽

Cited By ~ 13

Author(s):

Olu Ashiru ◽

John W. Polak ◽

Robert B. Noland

Keyword(s):

Travel Behavior ◽

Stochastic Frontier ◽

Limited Range ◽

Space Time ◽

Data Sets ◽

Activity Schedules ◽

Individual Activity ◽

Stochastic Frontier Models ◽

Associated Family ◽

Activity Diary

Accessibility is a fundamental concept in human existence, which goes to the heart of the notion of society, equity, and justice. However, despite the importance of the concept, the mathematical measures that have historically been used to quantify accessibility levels have been relatively poorly defined and have encompassed a limited range of observed forms of travel behavior. Existing space–time locational benefit measures are extended to encapsulate more realistic temporal constraints on activity participation and the associated perceived user benefit. The development of a family of space–time route benefit measures is outlined. Despite their apparent theoretical attractiveness, hitherto researchers have not used such measures. It is demonstrated how these route benefit measures can be used to develop an associated family of disaggregate activity-based space–time utility accessibility measures applicable to individual activity schedules and how income constraints can be incorporated within the space–time utility accessibility measures. Finally, the means by which stochastic frontier models can be used in conjunction with existing travel–activity diary data sets to operationalize the proposed measure of accessibility are briefly described.

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