Changes between Version 3 and Version 4 of project/subproj/wpp1


Ignore:
Timestamp:
Apr 11, 2017 9:08:48 AM (2 years ago)
Author:
maronga
Comment:

--

Legend:

Unmodified
Added
Removed
Modified
  • project/subproj/wpp1

    v3 v4  
    1515      {{{#!td style="border: none; width:50%"
    1616The assessment of meteorological aspects of quality of life in towns and cities is determined by means of wind comfort, heat stress, radiation exposure, and air pollution. In order to obtain a general view of the environmental load, the spatial distribution of relevant meteorological parameters are used for a mapping and zoning in urban areas. However, such a conventionally applied approach does not take into account the wide spectrum of urban resident characteristics with respect to socio-economic data, behavior and movement patterns.
    17 In this work package, a multi-agent model (MAM) will be developed and adopted to <new model> in order to estimate a personal burden for individual urban residents due to local atmospheric conditions. Modules for the thermal and actinic complex (WP-P2 and WP-P3, respectively) will be implemented. Also air pollution will be considered (WP-M7). A multi-agent approach offers the possibility to consider socio-economic data of the urban inhabitants. Typically, in specific urban districts a characteristic composition of residents can be found with predominantly elderly people, young families or business people in the inner city. Depending on these groups of residents, their work, their individual behaviour and their specific ways between home and final destination, temperature, wind and radiation have very different effects on the individuals. By defining comfort measures for individual groups, comfortable areas, heavy loaded places and optimized walking paths can be estimated.
     17In this work package, a multi-agent model (MAM) will be developed and adopted to PALM-4U in order to estimate a personal burden for individual urban residents due to local atmospheric conditions. Modules for the thermal and actinic complex (WP-P2 and WP-P3, respectively) will be implemented. Also air pollution will be considered (WP-M7). A multi-agent approach offers the possibility to consider socio-economic data of the urban inhabitants. Typically, in specific urban districts a characteristic composition of residents can be found with predominantly elderly people, young families or business people in the inner city. Depending on these groups of residents, their work, their individual behaviour and their specific ways between home and final destination, temperature, wind and radiation have very different effects on the individuals. By defining comfort measures for individual groups, comfortable areas, heavy loaded places and optimized walking paths can be estimated.
    1818       }}}
    1919   }}}
     
    2323''WP-P1.1: Developing of MAM''
    2424
    25 In the first step, the existing MAM code must be adapted for the <new model> model. This involves the development of a MAM implementation which uses core parts of the existing Lagrangian particle model in PALM. In this way, each Lagrangian particle will represent a single agent that can carry several properties, and which can move according to a pathfinding algorithm.
     25In the first step, the existing MAM code must be adapted for the PALM-4U model. This involves the development of a MAM implementation which uses core parts of the existing Lagrangian particle model in PALM. In this way, each Lagrangian particle will represent a single agent that can carry several properties, and which can move according to a pathfinding algorithm.
    2626In the second step, the pathfinding algorithm will be developed and adapted to the specific urban environment. Characteristic walking paths between starting point and final destination for different groups of residents have to be defined and tested. The variety of possible decisions on different walkways has to be compared and analyzed with respect to effort and significance. Also sensitivity studies are necessary to estimate the required number of agents to get significant and meaningful results.
    2727
                                                                                                                                                                                                                                                                                                                                                                               
  | Impressum | ©Leibniz Universität Hannover |