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

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.

The genesis and paleoenvironmental records of Longji agricultural terraces, southern China: A pilot study of human–environment interaction

2014 ◽  
Vol 321 ◽  
pp. 12-21 ◽  
Author(s):  
Yongjian Jiang ◽  
Shijie Li ◽  
Desuo Cai ◽  
Wei Chen ◽  
Yan Liu ◽  
...  
Keyword(s):  
Pilot Study ◽  
Southern China ◽  
Environment Interaction ◽  
Agricultural Terraces ◽  
Human Environment

Multi-agent based safety computational experiment system for shield tunneling projects

2020 ◽  
Vol 27 (8) ◽  
pp. 1963-1991
Author(s):  
Hui Lu ◽  
Junxiong Qi ◽  
Jue Li ◽  
Yong Xie ◽  
Gangyan Xu ◽  
...  
Keyword(s):  
Influential Factors ◽  
Safety Performance ◽  
Computational Experiments ◽  
Screw Conveyor ◽  
Environment Interaction ◽  
Shield Tunneling ◽  
Content Type ◽  
Agent Based ◽  
Multi Agent ◽  
Human Shield

PurposeIn shield tunneling projects, human, shield machine and underground environment are tightly coupled and interacted. Accidents often occur under dysfunctional interactions among them. Therefore, this paper aims to develop a multi-agent based safety computational experiment system (SCES) and use it to identify the main influential factors of various aspects of human, shield machine and underground environment.Design/methodology/approachThe methods mainly comprised computational experiments and multi-agent technologies. First, a safety model with human-machine-environment interaction consideration is developed through the multi-agent technologies. On this basis, SCES is implemented. Then computational experiments are designed and performed on SCES for analyzing safety performance and identifying the main influential factors.FindingsThe main influential factors of two common accidents are identified. For surface settlement, the main influential factors are ranked as experience, soil density, soil cohesion, screw conveyor speed and thrust force in descending order of influence levels; for mud cake on cutter, they are ranked as soil cohesion, experience, cutter speed and screw conveyor speed. These results are consistent with intuition and previous studies and demonstrate the applicability of SCES.Practical implicationsThe proposed SCES provides comprehensive risk factor identification for shield tunneling projects and also insights to support informed decisions for safety management.Originality/valueA safety model with human-machine-environment interaction consideration is developed and computational experiments are used to analyze the safety performance. The novel method and model could contribute to system-based safety research and promote systematic understanding of the safety performance of shield tunneling projects.

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