Context: The results of the non-motorization of city areas that got underway in the 1970s has now produced a generation of downstream effects in Europe, North America and Japan especially. A new wave of interventions to channel and reduce overall motorized traffic is underway in Europe, while hundreds more pedestrian zones are being created in China. This is a good time to undertake some serious investigations of the internal dynamics of these areas. Purpose: This project is concerned with the movement and activities of people relative to layout. When a facility is planned in an area where there are already pedestrians, the location cannot often be optimal in relation to the predominant flows. The question is the extent to which the facility itself conditions behavior in the space, volume-flows through the space ultimately impacting on the economics of the facility. Methods: New studies in a set of environments and cities are being conducted using identical methods in each study. In this way, we can be sure that the data are strictly comparable. The layout of each pedestrian area is conceived as a set of people generators-metro stations, office buildings, busy streets nearby-along with the network and spatial system, Network is understood as a graph with directional movement. Each segment of the graph carries various properties with regard to its position in the whole system and its spatial orientation to other segments. The spatial system is conceived as geometry and metrics. Presence and volume-flow censuses are collected along with details of the land uses, all plotted on a detailed map of the spaces and buildings of each area. There are five sets of data for each pedestrian zone: 1-generator flow; 2-store patronage; 3-one-directional pedestrian flow; 4-other-direction pedestrian flow; 5-land use and activity descriptions. Case studies: Thus so far, we have four complete case studies: Les Halles, Paris; Rotterdam central area; Tianjin central district; Ginza, Tokyo. This presentation will consist of a comparison of the four pedestrian areas. The comparison will include a quantification of the variables described above and their meaning for the internal dynamics of the pedestrian environment, as well as a qualitative comparison, considering the range of activities, variations in the land use mix, as well as culturally bound public activity and norms for activity. The comparison will include non-parametric statistics at this stage, although when more studies are complete, it will be possible to use parametric methods. Outcomes: We will try to draw out patterns of relationships from the four examples, as a step toward a comprehensive analysis of the whole set of environments. The intention of the work is to gain an understanding of the relative weight to accord programmatic interventions and layout interventions in non-motorized districts for desired social and economic outcomes.