Architecture, Building and Planning - Research Publications

Permanent URI for this collection

http://hdl.handle.net/11343/279

Filters

2020 - 2022 2
1
2
Reset filters

Settings
Statistics
Citations
Author: Chen, Siqing × End date: 2022 × Start date: 2020 ×

Search Results

Now showing 1 - 2 of 2
  • Item
    Thumbnail Image
    Understanding the structure and complexity of regional greenway governance in China
    Chen, J ; Han, SS ; Chen, S (Liverpool University Press, 2022-04-01)
    oss-sectoral relations. This paper explores how these three intergovernmental relations are shaped by different governance structures and how they influence regional greenway implementation outcomes. An analytical framework was proposed considering four structural factors (size, specialisation, order and anarchy) and China’s inherited tiao (vertical)-kuai (horizontal) system of authority. By analysing a case-study project with evolving governance structures over time, the paper reveals that a more powerful, sectorally specialised, autonomous and inclusive local coordination office is ideal to foster institutional linkages within administrative jurisdiction, between adjacent governments and across government hierarchy. These links are essential for efficient and integrated greenway implementation in city-regions.
  • Item
    Thumbnail Image
    Noise mapping in an urban environment: Comparing gis-based spatial modelling and parametric approaches
    Chen, S ; Wang, Z (Wichmann, 2020-01-01)
    We conduct noise mapping for an inner-suburb precinct adjacent to Melbourne CBD using GIS geostatistical interpolation and parametric (Rhino and Grasshopper) approaches, based on traffic noise data collected using field measurement. We then compare the spatial and temporal patterns of noise dynamics based on measured noise data and modelled noise level outputs. Preliminary findings shed lights on understanding traffic flows and noise level, noise attenuation through landform and tree planting, etc. We discuss the effectiveness and compatibility of the two modelling approaches, and potential applications of the outcomes of this study in informing landscape planning and design to mitigate noise pollution in the urban environment.