Uploaded on 2016-08-19 by Luis Gento Rodriguez

The picture shows a general view of some office and residential buildings currently under construction –a part of the 1.5b in Hammerson and Croydon scheme to be built from 2017 and is expected to be completed in 2020. The new buildings are covered by plastic covers that avoid materials falling from them which may ultimately cause rail service disruption or potentially harm pedestrians/workers. It also reveals some platform works to level the surface currently being carried out (left hand-side of the picture). The picture also reveals that the station is currently functioning as passengers are able to travel. The picture was taken facing north of the East Croydon Station, in South London. From the picture we can easily assume that the level of residential and office density is going to increase considerably in that particular area around the station when the construction works are completed. In addition, two ‘invisible information’ can be extracted from the day-to-day operations: - The Delivery Service Plan followed to deliver construction material to the construction sites (station and buildings) - The transport methods and commuting routes followed by construction workers to get to the working site. If we consider the first invisible information (Delivery Service Plan for construction materials), local authorities can obtain valuable traffic info directly related to: the number of construction vehicles, time of arrival/departure, routes they followed from warehouses to site, and the noise impact for out-of-hours deliveries. Aggregated data from different construction sites may become very valuable to assess the impact of construction projects with similar characteristics in urban areas, as it is possible not only to predict traffic demand or road disruption caused due to construction activity by time band, but it is also possible for authorities to learn and take further measures that can benefit living standards (best practices guidelines, or quiet deliveries equipment adoption for instance).