Lahore, a metropolis and 2nd largest city of Pakistan, has been experiencing rapid urban expansion over the past five decades. The socio-economic development and growth of the urban population have caused the rapid increase of urban expansion. The increase in the built-up area of Lahore has seen remarkable growth during the past five decades. This study is aimed at detecting the Spatio-temporal changes in land use land cover and evaluating the urban expansion of Lahore since 1973. The conversion of land to other uses is primarily because of growth in urban population, whereas the increase in economic activities is the central reason for the land-use changes. In this study, temporal Landsat imageries were integrated with demographic data in the GIS environment to quantify the spatial and temporal dynamics of land use land cover (LULC) changes and urban expansion of Lahore city. The supervised image classification of maximum likelihood algorithm was applied on Landsat MSS (1973 and 1980), TM (1990), ETM+ (2000), TM (2010), and OLI/TIRs (2020) images, whereas a postclassification comparison technique was employed to detect changes over time. The spatial and temporal analysis revealed that during the past five decades, the built-up area of Lahore city has expanded by ~ 532 km2. It was found from the analysis that in Lahore city the urban expansion was primarily at the cost of loss of fertile agricultural land, vegetation, and other cultivable land use. The analysis further revealed that the structure and growth pattern of Lahore has mainly followed road network and linear expansion. The results indicate that this accretive urban expansion is attributed to socio-economic, demography, conversion of farmland, rural-urban migration, proximity to transportation routes, and commercial factors. This study envisions for decision-makers and urban planners to devise effective spatial urban planning strategies and check the growth trend of Lahore city.

Infrastructure development is critical to the success of economic growth policies. Remote sensing and GIS tools have an important role to play in the development of various urban infrastructures. Due to the rapid growth of urban population and urbanization, it is necessary to find out the site's suitability for sustainable urban development. The main aim of the study is to study the growth and trend of urbanization, as well as to find out the suitable sites for further urban development in northern Punjab, along the river Jhelum, Pakistan. The study illustrates the use of geographic information system (GIS) and Remote Sensing based techniques i.e. Human Natural Environment Index (HNEI) applied with a foundation of Relief Degree of Land Surface (RDLS), Temperature Humidity Index (THI), Water Resource Index (WRI), and Land Cover Index (LCI) for selection of the suitable site for urban settlements along river Jhelum, Pakistan. For this purpose, Toposheet and Landsat satellite data were used to generate various thematic layers using ArcGIS software. The results were generated in form of five categories i.e., highly suitable, moderately suitable, relatively low suitable, low suitable, and non-suitable. The final results indicated that district Sargodha is most suitable for long-term sustainable urban settlements favored by relief, climate, water availability, land cover scenario, and flood hazard-free area. Eventually, a site suitability map is prepared for further urban development. The present study allows the local people as well as urban planners for the appropriate plans of land use planning in sustainable urban development.

Ecosystem services provided by urban parks play a significant role in visitors’ well-being. The provision of these services depends upon the well-designed green spaces built to fulfil the needs of people. As these services are linked with visitors’ well-being, particular emphasis to indicate them is needed. However, minimal documentation is found regarding these valuable services, particularly in the context of Lahore. So, in this study, an effort was made to highlight visitors’ preferences for the available ecosystem services provided by urban parks in Lahore, Pakistan. These ecosystem services are beneficial in enhancing the well-being of people. Fifteen parks in Lahore were selected in this study to highlight the visitors’ preferences in visiting the parks. A questionnaire-based survey was conducted in these parks to collect information. The questionnaire was compiled to record socio-demographical profiles, usage patterns, choices, and visitors’ opinions about the services provided by the parks. A total of 300 responses were recorded to depict the survey findings. The result highlights that 60-80% of visitors like to come to the parks having maximum services regardless of how distant is from their residence. It also reveals that large-sized parks with maximum facilities attract more visitors than small and medium-sized parks. As in these parks, people only from neighbouring areas visit due to their accessibility. The findings will be helpful for the managers and planners of the urban park to improve the ecosystem services for the well-being of people. It will also indicate the choices of people based on that information, the status of parks can be improved, and new parks can be developed to meet the visitors’ needs.

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Identification of existing hotspots is one of the principal steps for evolving strategy to mitigate urbanflooding, an emerging problem in mega cities of developing countries. Therefore, this paper aims to provide aframework of assessing the spatio-temporal hotspots of urban flooding incidents in Lahore district, Punjab, Pakistan.For this purpose, a database was created by gathering information of sore points by a governmental body, Water andSanitation Agency (WASA) to execute spatio-temporal analysis of urban flooding through hotspot analysis in spatialanalyst tool box in Arc GIS. Results show that urban flooding occurs in each town of Lahore excluding Wahga town.Among all affected towns of Lahore, Data Gunj Bakhsh town is noted as a highly affected area accounting 27 percentof urban flooding incidents during monsoon period from 2012-2017. Temporal study also shows an overall increasingtrend for incidents of urban flooding during 2012-2017. Moreover, detailed study shows that month of August isnoteworthy for urban flooding which is consistently increasing.