The design decisions of most greenway proposals for naturali

The design decisions of most greenway proposals for naturalistic setting are more in the spirit of form following topography and thus result in very delicate looking and natural low-impact greenway designs with compacted earth or gravel paths, well-composed tree canopy, and beautifully framed views of nature (Sharma, 2010: 351–352). However, in urbanized setting, greenway proposals and executed designs have a sturdy looking, multi-traffic oriented design with the pitavastatin of concrete or asphalt pavements, street fixtures, and a tree canopy that bear the look of a controlled mechanical assembly.
Reading design syntax For reading design syntax of urban greenways, I begin with graph studies for pattern recognition since it is one of the basic tools available for morphological understanding of the design syntax at the macro-scale, even in contexts where Geographic Information Systems technology may not be readily available. The methods of section drawings and photograph-analysis, have been popularly used to explain greenway design in seminal texts such as by Flink et al. (2001) and Hellmund and Smith (2006), besides contemporary research by Nordh (2012, 2010). I will use the section analyses of drawings for abstracting design details at the micro-scale, and Picasa-treated photographic analyses for an insight into material and morphology at meso-scale. Ranging from a macro/regional/bird׳s-eye view scale to a micro/local/pedestrian/turtle view scale, the methods of graph analysis, morphological as well as thermal studies through photographs and section analyses presented in this article offers a mixed-method approach for the objective reading, assessing, and designing of urban greenways.
Discussion
Conclusion As an observation on critical design thinking on urban greenways, it is important to note following points. Firstly, currently, morphological studies are predominantly undertaken at two scales of bird’s eye view and the human view scale, as seen in seminal greenway guidebooks such as those by Flink et al. (2001) and Hellmund and Smith (2006). This study extends the scalar approach to greenway design by adding the third scale of “turtle view”.
Introduction The current literature has investigated the influence of landscape vegetation on the frequency and range of movement (Shriver, 1997; Foltête and Piombini, 2007; Chamberlain and Meitner, 2013) and on the choices of routes in specific places such as public gardens (Loiteron and Bishop, 2005). However, these studies are focused on pedestrian behavior in small and closed spaces (Zacharias, 1997; Moskell and Allred, 2013) and in unknown areas (Zacharias, 2006). Generalizing these observations in large, familiar environments is necessary to distinguish the processes of space perception that affect movement. Research on movements in an intraurban environment must integrate a large amount of qualitative data to generate useful inputs for urban planning (Røe, 2000; Stahle and Marcus, 2010), such as landscapes. Such approach will help in understanding how individuals choose their routine trips in an environment and how social structure is affected by pedestrian trips.
Background
Modeling outdoor spaces using space syntax Many methods of spatial analysis have been developed to improve our understanding and modeling of real-world experience. Space syntax theory assumes that any urban area can be represented as a matrix of connected spaces and that the quantitative properties of this matrix can be measured using computer simulations. Space syntax models the spatial configurations of outdoor urban spaces by using a “connectivity graph” representation. Such a configuration of space identifies patterns that can be used to study urban layouts and human behaviors (Jaing et al., 2002). Visibility and visual perception significantly influence how people behave, appreciate, and experience the environment. They could serve as determining factors in designing landscape spaces. Space syntax studies of pedestrian behavior in building and open urban environments have found a consistent correspondence between the configuration of space and the patterns of usage found within such space. Researchers in the space syntax community (Hillier et al., 1993a, 1993b; Penn et al., 1998; Desyllas and Duxbury, 2001) claimed through several empirical studies that both pedestrian and vehicle movement can be predicted by local integration measure.