Dataset of Street Facade Color Attributes and Micro-Scale Pedestrian Trajectories in Historic Districts (Nanjing, China)

In our research, commercial color complexity equals the total number of extracted commercial colors, plus the sum of the number of pairs with inconsistent the total number of extracted commercial colors (NC), plus the sum of the number of pairs with inconsistent Hue, the number of pairs with inconsistent Value, and the number of pairs with inconsistent Chroma, across all historical–commercial element color pairs P_{hc}.</li><li>O_c (commercial color order): Color order reflects the degree of clarity in the organizational rules of color information in the surrounding environment.

In our research, the commercial color order reflects the degree of clarity in the visual organizational rules of all historical-commercial element color combinations in the street facades of historic districts.</li><li>Ra (ratio of active storefronts): The ratio of active storefronts is calculated as the number of storefronts that are operating during their primary business hours at the time of measurement, excluding entrances and exits, divided by the total number of storefronts.</li></ul><p dir="ltr">2.

Pedestrian behavioral metrics:</p><p dir="ltr">In this study, pedestrian activities were first classified by identifying trajectories that were clearly stationary or exhibited a clear orientation. The remaining trajectories were defined as Searching Behaviors. These behaviors were further divided into three categories based on trajectory sinuosity: Wander, Area-Restricted Search (ARS), and Pacing.

Together with Stop and Orientation, five behavioral patterns were identified: Stop, Orientation, Wander, ARS, and Pacing.</p><ul><li>TD (trajectory diversity): The information entropy of the four trajectory types within a given street segment: Wander, ARS, Pacing, and Stop. It measures the richness of pedestrian groups' movement trajectories.</li><li>TC (trajectory complexity): The global accumulation of changes in direction and length of the trajectory vectors on either side of each trajectory sampling point.

It measures the complexity of individual pedestrian movement trajectories.</li><li>Rs (ratio of searching behaviors): The proportion of the four trajectory types (Wander, ARS, Pacing, and Stop) relative to the total number of trajectories. It reflects the degree to which pedestrians in a given street segment engage in optional and social activities.</li><li>Is (stay intensity): It equals the arithmetic mean of standardized average number of stops and standardized average dwell time for a given street segment.

It reflects the degree to which pedestrians stop and linger in a given street segment.</li><li>Va (average walking velocity): The arithmetic mean of pedestrians' velocity within a given street segment.</li></ul><p dir="ltr">Beyond these, oTC, oIs and oVa are the trajectory complexity, stay intensity and average walking velocity of orienting pedestrians (Orientation); sTC, sIs, sVa are the trajectory complexity, stay intensity, average walking velocity of searching pedestrians (Wander, ARS, Pacing).</p><h2 dir="ltr">Explanation for folders</h2><ul><li>"0.results_of_color_cluster": The study first performed clustering and then calculated weighted averages to identify the three dominant colors of historical elements and the top eight dominant colors of commercial elements that constitute the facades of historic districts.

If fewer than eight dominant colors were identified for commercial elements, all identified dominant colors were included in the subsequent calculations.</li><li>"1.O_C_CH_of_each_image": Color indicators calculated for each sampled photograph.</li><li>"2.original_trajectory": Pedestrian trajectory data directly extracted from the video.</li><li>"3.corrected_trajectory": Pedestrian trajectories after eliminating trajectory-point drift caused by mutual target occlusion and limitations in detection-model accuracy.</li><li>"4.trajectory_clusters_before_merge": Preliminary (coarse) classification of pedestrian trajectories.</li><li>"5.trajectory_clusters_after_merge": Further clustering and merging of pedestrian trajectories based on the previous step, resulting in the five target trajectory types.</li><li>"6.total_pedestrian_behavior_indicators": Behavioral indicators calculated for all pedestrians based on their trajectories.</li><li>"7.orienting_pedestrian_behavior_indicators": Behavioral indicators for orienting pedestrians.</li><li>"8.searching_pedestrian_behavior_indicators": Behavior indicators for searching pedestrians.</li></ul><p dir="ltr">Some sampling points yielded fewer than eight dominant colors of commercial elements.

For details, please refer to the file "N_C_outliers.md".</p>