Supervisory control in a dynamic and uncertain environment: a process model of skilled human-environment interaction

1993 ◽  
Vol 23 (4) ◽  
pp. 929-952 ◽  
Author(s):  
A. Kirlik ◽  
R.A. Miller ◽  
R.J. Jagacinski
Keyword(s):  
Supervisory Control ◽  
Process Model ◽  
Environment Interaction ◽  
Human Environment ◽  
Uncertain Environment

Multi-agent Human-Environment Interaction Framework for the Ubiquitous Environment

2005 ◽  
pp. 217-223 ◽  
Author(s):  
Satoshi Kurihara ◽  
Kensuke Fukuda ◽  
Toshio Hirotsu ◽  
Shigemi Aoyagi ◽  
Toshihiro Takada ◽  
...  
Keyword(s):  
Environment Interaction ◽  
Human Environment ◽  
Ubiquitous Environment ◽  
Multi Agent

Ecological Impacts

2018 ◽  
Author(s):  
Donald Getz
Keyword(s):  
Impact Assessment ◽  
Process Model ◽  
Full Range ◽  
Ecological Impact ◽  
Ecological Impacts ◽  
Natural Environments ◽  
Human Environment ◽  
Footprint Analysis ◽  
Entire Nation ◽  
Ecological Footprint Analysis

In this chapter we examine nature, ecology and ecological impacts, as distinct from the impacts of events and tourism on the built or human environment. This brings sustainability to the fore, and that is a term that has to be examined carefully with reference to the ‘greening’ of events, different interpretations of the meaning of sustainability, and how this influences evaluation and impact assessment. It is also very useful to examine environmental impacts ON events, as opposed to the impacts OF events. This involves an illustration of the event settings spectrum that identifies important variables related to the differences between indoor events and those situated in natural environments. The subjects and objects of ecological impact assessment for events and tourism are examined in detail, presenting goals, methods and indicators that can be applied to the full range of ‘subjects’ – individuals and families or the entire nation. The process of EIA follows the generic IA process model, with a number of special considerations. Methods include the Leopold Matrix, Forces-Pressures-State-Impact-Response model, and carbon and ecological footprint analysis.

scholarly journals Spatial Explicit Assessment of Urban Vitality Using Multi-Source Data: A Case of Shanghai, China

2019 ◽  
Vol 11 (3) ◽  
pp. 638 ◽  
Author(s):  
Wenze Yue ◽  
Yang Chen ◽  
Qun Zhang ◽  
Yong Liu
Keyword(s):  
Built Environment ◽  
Developed Countries ◽  
Environment Interaction ◽  
Human Environment ◽  
Large Cities ◽  
Leading Role ◽  
Urban Core ◽  
Functional Development ◽  
Source Data ◽  
Pudong New Area

Identifying urban vitality in large cities is critical for optimizing the urban fabric. While great attention has been paid to urban vitality in developed countries, related studies have been rarely conducted in developing countries. In this study, we defined urban vitality as the capacity of an urban built environment to boost lively social activities and developed a framework for measuring urban vitality using the dimensions of built environment, human activities, and human–environment interaction. Taking Shanghai, China as a case, we conducted a measurement of urban vitality using multi-source data. The results show that Shanghai follows a monocentric vital pattern within the outer ring road, with urban vitality declining from the central urban core to the city periphery. While the old urban cores tend to show high urban vitality, Pudong New Area is mostly dominated by low vitality. Three clusters with high urban vitality were identified: the old urban area, the Lujiazui CBD, and residential agglomeration areas. We conducted validation of the measuring results using phone usage density. Urban vitality showed a positive correlation with phone usage density, indicating a high accuracy of assessment. We also discovered that European-style block planning, zoning plan, mixed-functional development, urban renewal regulation, and migrant concentration were playing leading role in urban vitality of Shanghai.

scholarly journals State of the Art in Paleoenvironment Mapping for Modeling Applications in Archeology—Summary, Conclusions, and Future Directions from the PaleoMaps Workshop

Quaternary ◽  
2020 ◽  
Vol 3 (2) ◽  
pp. 13
Author(s):  
Christian Willmes ◽  
Kamil Niedziółka ◽  
Benjamin Serbe ◽  
Sonja B. Grimm ◽  
Daniel Groß ◽  
...  
Keyword(s):  
State Of The Art ◽  
Open Science ◽  
Future Research ◽  
Environment Interaction ◽  
Future Directions ◽  
Human Environment ◽  
Interaction Modeling ◽  
The University ◽  
New Procedures ◽  
Future Concepts

In this report, we present the contributions, outcomes, ideas, discussions and conclusions obtained at the PaleoMaps Workshop 2019, that took place at the Institute of Geography of the University of Cologne on 23 and 24 September 2019. The twofold aim of the workshop was: (1) to provide an overview of approaches and methods that are presently used to incorporate paleoenvironmental information in human–environment interaction modeling applications, and building thereon; (2) to devise new approaches and solutions that might be used to enhance the reconstruction of past human–environmental interconnections. This report first outlines the presented papers, and then provides a joint protocol of the often extensive discussions that came up following the presentations or else during the refreshment intervals. It concludes by adressing the open points to be resolved in future research avenues, e.g., implementation of open science practices, new procedures for reviewing of publications, and future concepts for quality assurance of the often complex paleoenvironmental data. This report may serve as an overview of the state of the art in paleoenvironment mapping and modeling. It includes an extensive compilation of the basic literature, as provided by the workshop attendants, which will itself facilitate the necessary future research.

Supervisory control in a dynamic and uncertain environment: laboratory task and crew performance

1993 ◽  
Vol 23 (4) ◽  
pp. 1130-1138 ◽  
Author(s):  
A. Kirlik ◽  
B.D. Plamondon ◽  
L. Lytton ◽  
R.J. Jagacinski ◽  
R.A. Miller
Keyword(s):  
Supervisory Control ◽  
Uncertain Environment ◽  
Laboratory Task
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