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What is the macro data telling the markets?

While the macroeconomic data indicates that the likelihood of sidestepping recession has increased, the economic engine is not expected to run at full steam in the near future

High frequency data in Land use and transport integrated model: A revi by Thivya P Amalan, Bo Du et al

The rapid urbanisation in cities, and its associated complexities demand that sophisticated decision support tools such as the LUTI models be employed to assist the balanced and sustainable development of transport and land use. It is evident from literature studies that the majority of LUTI models need extensive data, making them expensive and time-consuming, which will be a challenge for developing countries. On the other hand, with the advent of information and communication technology, the availability of high frequency (HF) data is increasing which can be collected at disaggregated level data frequently at little or no cost. The main focus of this research is trying to bridge the gap that exists between research with this type of data and it subsequent application in real context. On the basis of this, the paper focuses on (1) summarizing existing LUTI models and their corresponding data requirements; (2) explaining the sources of HF data in LUTI modelling; and (3) discussing the

U S Ambassador to UN Rome-based agencies Cindy McCain sees joint food, nutrition and resilience work in Laos

U S Ambassador to UN Rome-based agencies Cindy McCain sees joint food, nutrition and resilience work in Laos
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