DATA LANDSCAPE AS THE REPRESENTATION OF NIGHTTIME URBAN DYNAMICS

This paper explores the data landscape as the representation of the network of entities that construct the nighttime urban environment. The utilization of data landscape is understood as the collective reading of nighttime place dynamics which could unfold the complex narratives of urban context. It reveals two main elements involved in the emergence of the nighttime environment: what constructs urban nighttime and how it is captured. The mapping of data from social media was conducted using Instagram posts that contain the hashtag #pasarmalam, which indicates the representation of the night market as an element of the urban nighttime environment in the context of Indonesian cities. Analysis was conducted by identifying the network of relations that emerged from the hashtags. The findings from the study indicate the emergence of data landscape as the network of entities related to elements of events, food, entertainment and experience that construct nighttime urban places. It also reveals how nighttime is represented through various methods, tools and techniques for capturing nighttime. The study suggests the critical role of data landscape in understanding the construction of nighttime urban environment as the basis of data-driven urban placemaking that can capture the dynamics and complexities of nighttime urban elements.