## 1 Introduction
As a result, we argue that space syntax can be used to analyse the informal, fluctuating economy of street vending, and that analysis at different scales might produce novel meanings nuanced to spatio-cultural identities. The mobile and temporary nature of street vending can be an alternative way of understanding spatial configuration and pedestrian movement in relation to the social logic of transient space. In addition, the meanings and concerns of space syntax differ from conventional walkability research, and these differences have been rarely discussed. First, [PERSON] et al. (1993) argue that the street network is the primary generator of pedestrian movement [14], while [PERSON] and [PERSON] (1997) consider that three environmental factors of 'Density, Diversity and Design' mainly impact walking behaviour [23]. As with other mainstream studies on walkability, the latter theory purports that the correlations of walking behaviour to spatial attributes are multiple and complex, including different environmental factors and socio-demographic characteristics at the neighbourhood scale [24; 25]. [PERSON] et al. (1993), however, principally focus on the interdependent relationships between streets within a large network [14]. They contend that places are not local entities; instead, they are influenced by or connected to different areas through a larger street network in a holistic way [15]. For example, [PERSON] et al. (2008) found clear relationships between the number of recreational walking trips and the spatial configuration of a network, suggesting that walking behaviour may be impacted beyond the local scale [26]. Therefore, the two fields for investigating pedestrians have different foci which tend to operate at different scales. Secondly, the two fields use some similar terms but with diverse implications in measuring environmental factors. For instance, space syntax studies measure street connectivity as how many streets directly link to a given street. [PERSON] and [PERSON] (2005) have evidenced that people prefer high-centrality streets with less angular changes and topological turns (i.e., less cognitive efforts) when moving from one place to another, rather than the short distance between interconnected nodes within a particular area [27]. However, [PERSON] et al. (2011) note that a walkable neighbourhood often has numerous intersections with a short distance (i.e., high street connectivity) [28]. As such, it is possible to confuse two neighbourhoods if both have the same sum of turns, but the intensity and distance of intersections between the two differ. Also, [PERSON] (2004) critically argues that most people who are familiar with their nearby living environment would probably prefer the shortest path for walking over longer, more circuitous but well-connected pathways [29]. Thus, it appears that findings based on space syntax analysis need to be supplemented by the perspective and experience of walking on behalf of local residents. Besides, [PERSON] et al. (2020) raise the issue that most students consider space syntax as an end in itself rather than part of a broader approach to urban analysis [6]. Furthermore, as a result of an incomplete understanding of its theory, they can often confuse measures, particularly the key terms of Integration and Choice. Integration represents the potential of a street to act as a potential destination from other streets in the network (i.e., how easily one can travel to that space). In contrast, Choice calculates the potential for streets to act as part of a route between an origin and destination with the least possible angular deviation [30]; or in effect, 'how much traffic is typically liable to pass through that space?' In space syntax theory, the former is also called 'closeness centrality' representing potential 'to-movement', and the latter is termed 'betweenness centrality' indicating potential 'through-movement'. These terms have different names but the same meanings, which are often confused by students and less experienced practitioners.