Walter Musakwa

TL;DR: The outcome of the study suggests that the combination of remote sensing, social sensing, and population data were useful as a proxy/inference for interpreting urban sprawl and status of access to urban services and infrastructure in Morogoro, and Africa city where data for urban planning is often unavailable, inaccurate, or stale.

TL;DR: In this paper, the authors investigated the use of earth observation data for supporting sustainable land use planning and showed that the results show that using decision consequence analysis (DCA), consequence analysis, earth observation and land use indicators can aid local planning authorities to assess and monitor urban sustainability.

TL;DR: In this paper, a case study of a partnership between a local municipality and an academic institution to bridge the science-action gap in the eThekwini Municipal Area, South Africa is presented.

TL;DR: The dataset presented in this paper illustrates the spatial and temporal coverage of cycling patterns and trends in Johannesburg for the year 2014 derived from the geolocation based mobile application Strava.

TL;DR: A systematic method combining bibliometric analysis and network analysis is applied in this study to uncover the dynamic trends, academic collaboration, and research hotspots related with eco-tourism.