In this report an analysis is presented on the impacts of weather codes on travel behavior. Loop detector data of seven segments in different provinces in the Netherlands are analyzed with regression models with autoregressive errors. Weather codes were found to be significantly influencing travel demand. Particularly codes orange for slipperiness and snow, and codes red for slipperiness, snow and wind yield significant results for most road segments. Furthermore, some trip rescheduling behavior was observed. The unreliability of the previous weather code was found to reduce the impacts for the next weather codes. The analysis of Twitter data was not useful to confirm hypotheses on the incentives for changing travel behavior. As this study is the first revealed preference study into the effects of weather codes, lots of research gaps remain. Secondary roads were not included in the study, which might be affected in other ways than highways. Furthermore, interaction effects between time and weather effects might explain some of the unexplained variability of the model results.

The goal of this project is to develop a design for Dala’s water system that deals with challenges of the township in a sustainable way. Dala is a township of Yangon, Myanmar’s economic centre. It is located directly South of the central business district (CBD), across the Yangon river. The area is now largely underdeveloped, but in 2021 it will be directly connected to Yangon’s CBD by a bridge, after which rapid urbanization and growth is expected. Current water infrastructure is already lacking heavily, making the need for a full new system even more imminent for the future. In an 8 week field research period, a full design cycle was conducted with input from several local experts and stakeholders. The final advice is to implement a new system focused on rainwater harvesting, large-scale storage in reservoirs and a dual reticulation system for water supply to the consumer. Other water infrastructure, such as drainage, sewage and treatment is designed to fit these focal points. This system is more sustainable than commonly used methods, as the resource is not impacted and energy is saved on treatment and transport. Furthermore, it caters for all expected water needs in 2040, making Dala fully self sufficient in closing the water circle.