Airports look alike all over the world. Schiphol has conformed to the patterns of the airport, but its unique design makes it stand out. The book Megastructure Schiphol looks into the history of the Netherlands’ most famous national airport and its sophisticated appearance.Schiphol has grown in fits and starts as a result of ever-expanding traffic in freight and passengers. The area around Schiphol is constantly evolving, yet there is great consistency in the visual aspect of this airport, which can rightly be called a ‘megastructure’. This is not merely due to the efforts of its designers, who have strived to achieve a spectacular simplicity. Other factors, such as its location in a polder and the local planning culture, have also played a role.In Megastructure Schiphol an analysis of its metamorphoses over the past century demonstrates Schiphol’s unique character and its function as a model for other airports.
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Recent advancements in mobile sensing and wearable technologies create new opportunities to improve our understanding of how people experience their environment. This understanding can inform urban design decisions. Currently, an important urban design issue is the adaptation of infrastructure to increasing cycle and e-bike use. Using data collected from 12 cyclists on a cycle highway between two municipalities in The Netherlands, we coupled location and wearable emotion data at a high spatiotemporal resolution to model and examine relationships between cyclists' emotional arousal (operationalized as skin conductance responses) and visual stimuli from the environment (operationalized as extent of visible land cover type). We specifically took a within-participants multilevel modeling approach to determine relationships between different types of viewable land cover area and emotional arousal, while controlling for speed, direction, distance to roads, and directional change. Surprisingly, our model suggests ride segments with views of larger natural, recreational, agricultural, and forested areas were more emotionally arousing for participants. Conversely, segments with views of larger developed areas were less arousing. The presented methodological framework, spatial-emotional analyses, and findings from multilevel modeling provide new opportunities for spatial, data-driven approaches to portable sensing and urban planning research. Furthermore, our findings have implications for design of infrastructure to optimize cycling experiences.
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