During the third COVID-19 wave in Malaysia, the Ministry of Health suggested a complete lockdown (Movement Control Order-MCO). However, tracking people's movements would help curb the virus' spread. Movement data helps companies uncover human mobility patterns, analyse present and previous movement patterns, and anticipate future consequences. GIS can generate flow maps, themed maps, and flow charts. GIS can show people moving from one site to another and study the link between people moving and land usage. This work utilised GIS to predict and construct lockdown zones based on human mobility. Between November and December 2020, it was also used to tour the most popular places. A survey of 380 Malaysians was undertaken. At the same time, Mysejahtera apps provided data on people's movements. This research was done in Kuala Lumpur and the respondents' data was arranged into an excel document. Then, the GIS programme simulated human activity and plotted regions with a "likely increase in ratio/speed of infection." Between November and December 2020 (RMCO time), everyday movements of Kuala Lumpur people might be utilised to apply "restrictive measures for COVID-19 containment". Instead of a nationwide lockdown, these locations should be targeted for localised lockdowns. So, the government should concentrate on a smart lockdown strategy to prevent catastrophic economic devastation. This research also helped health authorities and governments minimise mobility by optimising the allocation of the most frequented areas concerning population density. This method helped control the pandemic more efficiently and scientifically.

People are more likely to meet and connect when there is a high concentration of amenities within easy travelling distance. In this way, we argue that accessibility is a proxy for various characteristics associated with social interaction and that environments with greater accessibility promote greater social interaction, leading to higher contagion rates for some contagious diseases like COVID-19. Three criteria have been proposed to evaluate availability: Diversity, proximity, and connectivity. The three criteria were analyzed using a geographic information system (GIS). One of the multi-criteria analyses, the Analytic Hierarchy Process (AHP), was used to establish the defensible space zones according to the accessibility criteria. Results were verified by comparing them to cases of covid-19 in the Bukit Bintang area. The zones that reported the most Covid incidences were found to cross over non-defensive (easy to access) zones. Because of this, we can conclude that easier access contributed to the rise in reported cases of COVID.

Since the start of 2020, people all around the globe have been subject to life-limiting limitations duw to Covid-19 that is unprecedented. The world’s population has been dealing with previously unheard-of restrictions on their way of life since the start of 2020. The proper urban planning is essential because it relates to land management to create a healthy environment free from epidemics. It analyses the planning effectiveness on space as defended space using GIS tools. This research has used five criteria such as walkability, sidewalk comfortability (obstacles on the sidewalk), sidewalk safety (sidewalk width and covid-19 area rate), building design, and open space. This study concentrated on the Bukit Bintang neighborhood. In response to the COVID-19 pandemic, a new zone with fortified boundaries was established to offer open space. Finally, the study’s goals and objectives have been achieved using AHP method. Additionally, several suggestions were made for future action so that the Bukit Bintang region’s red zone area design is being enhanced to minimize or lessen the effects of catastrophic epidemics, just like the case with the Corona outbreak.