| id |
cf2011_p095 |
| authors |
Shin, Dongyoun; Muller Arisona Stefan, Schmitt Gerhard |
| year |
2011 |
| title |
Crowdsourcing Urban Simulation Platform Using Mobile Devices and Social Networking Media Technologies |
| source |
Computer Aided Architectural Design Futures 2011 [Proceedings of the 14th International Conference on Computer Aided Architectural Design Futures / ISBN 9782874561429] Liege (Belgium) 4-8 July 2011, pp. 233-246. |
| summary |
Introduction and Research Questions The research area of urban simulation methods has grown notably in recent decades. Most of the research topics that concern urban simulation have concentrated on defining the complexities of urban environments with certain rules and algorithms. However, cities are getting more complex and changes to them are being made at greater speed. Therefore, current urban simulation modeling approaches based on rules and protocols are still struggling to reduce the gap between the virtual simulation environment and the real cities, since the behavior of citizens is frequently unpredictable and continuously adapting. In this context, research is necessary to develop more fundamental simulation methods that can handle these complexities and changes, leading to new design decision support systems. Therefore, this research was motivated with the following questions: What is the origin of the complexities and transformations of the urban environment? How can we approach the origin to deal with the urban complexities and transformations? To answer these questions, we hypothesize that the diverse human intentions are the origin of the issues that result from all of the complexities and changes of the cities. General Objectives As a result, we propose a participatory simulation environment that brings human intention into the urban simulator: a crowdsourcing [1] simulation platform that is operated by the people‚Äôs participation. To achieve this crowdsourcing urban sustainability simulation environment, we must address the following research issues: categorization of urban sustainability indicators and technologies, inducing mass participations, and an implementation of social network services. Furthermore, we aim at using mobile computing devices, such as smart phones, as a terminal to the simulation environment. Fundamental Goals Our goal is to enable people to share urban information at any time and to compare each other‚Äôs contributions through the crowdsourcing urban simulation platform. The information will be returned to the citizens to support their sustainability-aware life. The simulation platform also gives a chance not only to compare each other‚Äôs levels of sustainability, but also to give self-satisfaction through an altruistic contribution for a sustainable future. Thus, people shall utilize the simulator in order to predict their individual or cities‚Äô future sustainability. Meanwhile, the user data will be collected and delivered to the central server in order to analyze the urban sustainability. Consequently, we can measure the urban sustainability based on a real human interaction, and compare individuals as well as cities. The whole process of this research is presented as a new paradigm of an urban simulator that reflects the urban complexities and the inconstant human mind changes. Specific Objectives of This Paper This paper will represent strategies of the crowdsourcing urban simulation which can make a paradigm shift of urban simulation and shall define the customized sustainable indicators for the initial steps of this research. It shows how as system for can communicate with the public using the current technologies: high performance mobile media, social network services and wide-area geospatial information systems. Furthermore, for the first step of this research, the paper defines the urban sustainability indicators, and their categorization is generalized and translated into simpler ways to support the citizen‚ intuitive understanding. |
| keywords |
Crowdsourcing, Urban sustainability, Multi-agent based simulation, Social network services |
| series |
CAAD Futures |
| email |
|
| full text |
 file.pdf (17,616,138 bytes) |
| references |
Content-type: text/plain
|
De Young, R. (1986)
 Some Psychological Aspects of Recycling: The Structure of Conservation-Satisfactions
, Environment and Behavior 18(4) : 435
|
|
|
|
|
De Young, R. (2000)
New ways to promote proenvironmental behavior: Expanding and evaluating motives for environmentally responsible behavior
, Journal of social issues 56(3) : 509-526
|
|
|
|
|
Feldman, O., Mackett, R. et al. (2010)
A Microsimulation Model of Household Location
, Residential Location Choice : 223-241
|
|
|
|
|
Hopper, J. & Nielsen, J. (1991)
Recycling as altruistic behavior
, Environment and Behavior 23(2) : 195-220
|
|
|
|
|
Kanjo, E. (2010)
NoiseSPY: A Real-Time Mobile Phone Platform for Urban Noise Monitoring and Mapping
, Mobile Networks and Applications 15(4) : 562-574A
|
|
|
|
|
Miluzzo, E., Lane, N. et al. (2008)
Sensing meets mobile social networks: the design, implementation and evaluation of the cenceme application
, ACM
|
|
|
|
|
Nielsen, J. & Ellington, B. (1983)
IQ Social Processes and Resource Conservation: A Case Study in Low Technology Recycling.
, Environmental psychology : Directions and perspectives : 288
|
|
|
|
|
Schuessler, N. & Axhausen, K. (2009)
Processing raw data from global positioning systems without additional information
, Transportation Research Record : Journal of the Transportation Research Board 2105(-1) : 28-36
|
|
|
|
|
Smith, R.D. (1998)
Simulation Article
, Grove's Dictionaries 4th Edition, July 2000
|
|
|
|
|
Vining, J. & Ebreo, A. (1992)
Predicting Recycling Behavior from Global and Specific Environmental Attitudes and Changes in Recycling Opportunities
, Journal of Applied Social Psychology 22(20) : 1580-1607
|
|
|
|
|
Waddell, P. & Ulfarsson G. (2004)
Introduction to urban simulation: Design and development of operational models
, Handbook of transport geography and spatial systems 5
|
|
|
|
|
Waddell, P., A. Borning, et al. (2003)
Microsimulation of urban development and location choices: Design and implementation of UrbanSim
, Networks and Spatial Economics 3(1) : 43-67
|
|
|
|
|
Waddell, P. (2002)
Modeling urban development for land use, transportation, and environmental planning
, Journal of the American Planning Association 68(3) : 297-314
|
|
|
|
|
Yee, N. (2005)
Motivations of play in MMORPGs
, Proceedings of DiGRA 2005
|
|
|
|
| last changed |
2012/02/11 19:21 |
|
