Developing a Biophilic City through Natural Land Transformation Analysis and Geodesign: The case of Purbachal New Town, Bangladesh

Dhaka, the capital city of Bangladesh is one of the fastest-growing metropolitan regions in the world. To solve the ever-increasing need for housing and to reduce the pressure of the population from the capital city, the Purbachal satellite city was planned. It is the biggest planned township in Bangladesh with an area of over 25 square kilometers. Purbachal is situated at the confluence of the Shitalakhya and Balu rivers. Historically a low-lying wetland, Purbachal has gone through a rapid transformation in past decades. The water bodies around the area have been filled in to create new developable land. Through remote sensing and GIS analysis, this study investigates the transformation of wetland areas in Purbachal New Town. The study Investigates whether the new developments in the Purbachal New Town followed a natural topography or it was drastically modified from its natural conditions. The study also investigates how these changes in the inherent topographical nature of the area can influence the future of the city. The goal of the study is to explore the complex interrelation of different factors responsible for the growth of a city. The main aim is to formulate a realistic city planning process to synthesize systems city approach with the concept of Biophilic design to create spaces where people will be able to live in harmony with nature

Evaluating the Impact of Nature-Based Solutions: Appendix of Methods

The Handbook aims to provide decision-makers with a comprehensive NBS impact assessment framework, and a robust set of indicators and methodologies to assess impacts of nature-based solutions across 12 societal challenge areas: Climate Resilience; Water Management; Natural and Climate Hazards; Green Space Management; Biodiversity; Air Quality; Place Regeneration; Knowledge and Social Capacity Building for Sustainable Urban Transformation; Participatory Planning and Governance; Social Justice and Social Cohesion; Health and Well-being; New Economic Opportunities and Green Jobs. Indicators have been developed collaboratively by representatives of 17 individual EU-funded NBS projects and collaborating institutions such as the EEA and JRC, as part of the European Taskforce for NBS Impact Assessment, with the four-fold objective of: serving as a reference for relevant EU policies and activities; orient urban practitioners in developing robust impact evaluation frameworks for nature-based solutions at different scales; expand upon the pioneering work of the EKLIPSE framework by providing a comprehensive set of indicators and methodologies; and build the European evidence base regarding NBS impacts. They reflect the state of the art in current scientific research on impacts of nature-based solutions and valid and standardized methods of assessment, as well as the state of play in urban implementation of evaluation frameworks

Evaluating the Impact of Nature-Based Solutions: A Handbook for Practitioners

The Handbook aims to provide decision-makers with a comprehensive NBS impact assessment framework, and a robust set of indicators and methodologies to assess impacts of nature-based solutions across 12 societal challenge areas: Climate Resilience; Water Management; Natural and Climate Hazards; Green Space Management; Biodiversity; Air Quality; Place Regeneration; Knowledge and Social Capacity Building for Sustainable Urban Transformation; Participatory Planning and Governance; Social Justice and Social Cohesion; Health and Well-being; New Economic Opportunities and Green Jobs. Indicators have been developed collaboratively by representatives of 17 individual EU-funded NBS projects and collaborating institutions such as the EEA and JRC, as part of the European Taskforce for NBS Impact Assessment, with the four-fold objective of: serving as a reference for relevant EU policies and activities; orient urban practitioners in developing robust impact evaluation frameworks for nature-based solutions at different scales; expand upon the pioneering work of the EKLIPSE framework by providing a comprehensive set of indicators and methodologies; and build the European evidence base regarding NBS impacts. They reflect the state of the art in current scientific research on impacts of nature-based solutions and valid and standardized methods of assessment, as well as the state of play in urban implementation of evaluation frameworks

The multifunctionality concept in urban green infrastructure planning: A systematic literature review

Urban green infrastructure is critical for providing a wide range of ecosystem goods and services that benefit the urban population. Past studies have suggested that multifunctionality concerning urban infrastructure services and functions is a prerequisite for targeting effective and impactful urban green infrastructure. Moreover, urban green infrastructure with multiple functions can offer socio-economic and environmental benefits. However, there has been a knowledge gap in the planning literature to elaborate multiple ecosystem functions in urban green infrastructure. In particular, existing methods and approaches are lacking for quantifying and monitoring such ecological services and biodiversity in urban green infrastructures at different spatial scales. Therefore, this research aims to review studies focusing on the multifunctionality concept in urban green infrastructure planning. The study highlights the current status and knowledge gaps through a systematic review. Our analysis revealed that current studies on green infrastructure multifunctionality have focused on five main themes: 1) planning methods for urban green infrastructure, 2) assessment approaches of urban green infrastructure, 3) ecosystem services and their benefits, 4) sustainability and climate adaptation, and 5) urban agriculture. The study found that the five themes are somewhat connected to each other. The study has revealed a knowledge gap regarding incorporating multifunctional green infrastructure in the planning principle. The results suggest at least five critical elements to ensure multiple functions in urban infrastructure. The elements are spatial distribution, optimal distance, integrated network, accessibility, and public participation and engagement. The study further recommends research directions for future analysis on green infrastructure multifunctionality that are critical for urban planning.publishedVersio

The application and effectiveness of remote sensing and geographical information systems for mapping and monitoring land use and land cover changes for development planning in UMnini Trust Traditional Council, eThekwini Municipality.

Masters Degree. University of KwaZulu-Natal, Durban.In the second half of the 21st century, developing countries experienced rapid population growth, which tended to settle in peri-urban areas of the cities because of limited spaces in the urban core areas and high urban land values. This movement into the outskirts of the cities has promoted peri-urban densification or urban sprawl/growth where the population become desperate for land and resides in close proximity to railway and road corridors, and environmentally sensitive areas etc. This rapid periurban densification decreased the availability of agricultural potential land and created a huge demand for social services delivery from municipalities. Therefore, municipalities need current and accurate information about trends of growth and development in a specific geographic area to determine the amount of social services need to be provided, which is significant for their development plans. Moreover, for accurate and up-to-date information and trends of growth analysis, South African municipalities rely on the techniques and tools such as aerial photographs and sample surveys, which are often inadequate to provide real time and accurate information on a regular basis, as these techniques collect this kind of information on a yearly basis while the population grows on a daily basis in developing worlds. The aim of this study was to assess the application and effectiveness of remote sensing (RS) and geographical information systems (GIS) for mapping and monitoring land use and land cover changes (LULCC) trends for development planning in uMnini Trust traditional council between 2001 and 2016. This time period has been chosen to align the study with the 15 years after eThekwini Metropolitan municipality was created in 2000, it was important to monitor and map the extent of growth in peri-urban areas of the metropolitan, which are the result of urban sprawl where people are situated in close proximity to urban core areas in search for economic opportunities. This study was guided by objectives, which are as follows; to determine the current LULCC planning and assessment processes used by municipality in uMnini Trust traditional council, to critically analyse the extent to which remote sensing and GIS have been used for sustainable land use planning and management; to identify different land use and land cover types found in uMnini Trust traditional council between 2001 and 2016, and analyse/categorise the changes that has occurred during the study period, in order to be able to analyse the rate and magnitude at which the peri-urban densification has been occurring in the study area which has a direct influence over the required infrastructure and social services. Lastly, to analyse challenges and constraints of using remote sensing and GIS for mapping and monitoring land use and land cover changes in uMnini Trust traditional council. This study adopted mixed (qualitative and quantitative) research methods. This combination of methods was employed in this study in order to provide a better understanding of research problems than either approach. Cognitive fit theory, sustainable development theory, and unified theory of acceptance and use of technology model were the theoretical bases for this study. Rapid peri-urban densification has contributed to land use changes, and also often led to rapid consumption of green or environmentally sensitive areas. Unregulated growth and development in urban areas has also resulted in the saturation of urban core areas, which increasing demand for land for development at the outskirts of the urban areas. Cognitive fit theory states that the use of geospatial technologies such as remote sensing and GIS, when the user possess relevant skills and expertise this yield good results that could help to come up with possible solution to assist in decision making process. Sustainable development theory advocates that there should be a development to satisfy the needs for the present generation, however, it must balance triple bottom line which include the social, economic, and environmental protection in ensuring that the needs of the future generations will be met. The unified theory of acceptance and technology model emerged because there was a need for the establishment of advanced technological innovations and application that have positive impacts on human and work life. This encouraged the organizations and governments to adopt the use of information technology in solving complex spatial related problems such as incompatible land uses. The results of this study revealed that there has been a gradual decline of agricultural potential areas in uMnini Trust traditional council within the study period. Rapid peri-urban densification has contributed and continues to contribute to rapid LULCC in the study area. It has been noted that this growth has implications on the provision of infrastructure and service delivery, as these people are increasing on a weekly or monthly basis which make it difficult for the municiplaity to have real time and accurate information about rate, trend, and magnitude of LULCC for their development plans. Integration of remote sensing and GIS in this study has demonstrated that this approach could be effective in providing LULCC in short period of time, which has been the shortcoming of the traditional planning tools

Improving obesogenic environmental assessments with advanced geospatial methods

This thesis explores the intricate connections between the envir- onment and obesity. It develops and applies advanced geospatial methods to enhance the assessment of obesogenic environments and obesity risks. Its primary objective is to evaluate obesogenic environments and explore potential associations between environ- mental factors and obesity, crucial for effective obesity prevention. The thesis is structured around four key objectives. The first sub-objective involves an investigation into the current literature on the measurement of the built environment. Street View Imagery (SVI) and advanced urban visual intelligence technologies have transformed Built Environment Auditing (BEA) substantially, enabling large-scale auditing at a detailed geographical level. A me- ticulous review of 96 articles published before September 15, 2023, reveals key areas for improvement in SVI-based BEA. Recommend- ations include standardized datasets for more accurate audits, the integration of multi-source SVI for comprehensive assessments, and the design of auditing tools tailored to developing countries. Ad- dressing these areas enhances the potential of SVI in environmental auditing, as they contribute to a better understanding of the built environment’s health impact and facilitate informed decision-making in urban planning and public health initiatives. The second sub-objective focuses on analyzing exposure to in- creasing PM2.5 pollution, associated with rising morbidity and mor- tality. An ensemble machine learning model, integrating multi-source geospatial data, is presented to map hourly street-level PM2.5 concen- trations in the city of Nanjing, China, at a 100 m spatial resolution. The study concludes that mapping these concentrations reveals spati- otemporal trends, supporting the establishment of exposome studies. The third sub-objective addresses the development of a framework to evaluate Physical Activity (PA) opportunities (bikeability) in urban environments, aiming to enhance sustainable urban transportation planning. A framework is proposed that comprises safety, comfort, accessibility, and vitality sub-indices. It uses open-source data, ad- vanced deep neural networks, and GIS spatial analysis, to eliminate subjective evaluations and enhance efficiency. Experimental results in the city of Xiamen, China, demonstrate the framework’s effectiveness in identifying areas for improvement and enhancing cycling mobility. The fourth sub-objective investigates the associations between PA opportunities, specifically walkability, and obesity. Using a cross- sectional cohort from Nanjing, China. A Logistic regression model with a double robust estimator estimates the effects of walkability on obesity risks. A newly developed walkability index shows a sig- nificant negative association with obesity, particularly when using a data-based-buffer derived from web-mapping navigation that better represents individual activity spaces. These findings provide evidence for developing explicit strategies for obesity prevention. In summary, this thesis contributes to addressing the knowledge gap in health geography between obesogenic environments and obesity risks, employing advanced geospatial methods. The integration of multisource geospatial data, machine learning methods like deep learning in a GIS environment, and spatial statistics presents a major step forward

Citizen empowerment and innovation in the data-rich city

This book analyzes the ongoing transformation in the “smart city” paradigm and explores the possibilities that technological innovations offer for the effective involvement of ordinary citizens in collective knowledge production and decision-making processes within the context of urban planning and management. To so, it pursues an interdisciplinary approach, with contributions from a range of experts including city managers, public policy makers, Information and Communication Technology (ICT) specialists, and researchers. The first two parts of the book focus on the generation and use of data by citizens, with or without institutional support, and the professional management of data in city governance, highlighting the social connectivity and livability aspects essential to vibrant and healthy urban environments. In turn, the third part presents inspiring case studies that illustrate how data-driven solutions can empower people and improve urban environments, including enhanced sustainability. The book will appeal to all those who are interested in the required transformation in the planning, management, and operations of data-rich cities and the ways in which such cities can employ the latest technologies to use data efficiently, promoting data access, data sharing, and interoperability

Using scenario modelling for adapting to urbanization and water scarcity: towards a sustainable city in semi-arid areas

Sustainable development on a global scale has been hindered by urbanization and water scarcity, but the greatest threat is from decision-makers ignoring these challenges, particularly in developing countries. In addition, urbanization is spreading at an alarming rate across the globe, affecting the environment and society in profound ways. This study reviews previous studies that examined future scenarios of urban areas under the challenges of rapid population growth, urban sprawl and water scarcity, in order to improve supported decision-making (SDM). Scholars expected that the rapid development of the urbanization scenario would cause resource sustainability to continually be threatened as a result of excessive use of natural resources. In contrast, a sustainable development scenario is an ambitious plan that relies on optimal land use, which views land as a limited and non-renewable resource. In consequence, estimating these threats together could be crucial for planning sustainable strategies for the long term. In light of this review, the SDM tool could be improved by combining the cellular automata model, water evolution and planning model coupled with geographic information systems, remote sensing and criteria analytic hierarchical process modelling. Urban planners could optimize, simulate and visualize the dynamic processes of land-use change and urban water, using them to overcome critical conditions

Urban Living Lab: An Experimental Co-Production Tool to Foster the Circular Economy

In recent decades; the balance of power between institutional and economic actors has radically changed; with a significant impact on the modes and dynamics of governance. In the broad array of experimental practices of co-production; Living Labs (LLs) represent a promising mode of collaboration among public bodies; research centres; private companies and citizens. By means of LLs; public actors aim to co-produce experimental policies; breaking out of traditional policy schemes to find new solutions to collective problems. On an urban scale; such tools have come to be known as Urban Living Labs (ULLs), and they are increasingly used by local governments to tackle complex problems such us stimulating the circular economy to tackle climate change. This paper provides a systematic review of case studies to understand whether and how the ULLs can represent an effective policy tool to foster the circular economy on an urban scale

Integration of ecosystem services into a conceptual spatial planning framework based on a landscape ecology perspective

Context The study of ecosystem services has extended its influence into spatial planning and landscape ecology, the integration of which can offer an opportunity to enhance the saliency, credibility, and legitimacy of landscape ecology in spatial planning issues. Objectives This paper presents a conceptual framework suitable for spatial planning in human dominated environments supported by landscape ecological thinking. It seeks to facilitate the integration of ecosystem services into current practice, including landscape metrics as suitable indicators. Methods A literature review supported the revision of existing open questions pertaining to ecosystem services as well as their integration into landscape ecology and spatial planning. A posterior reflection of the current state-of-the-art was then used as a basis for developing the spatial planning conceptual framework. Results and conclusion The framework is articulated around four phases (characterisation, assessment, design, and monitoring) and three concepts (character, service, and value). It advocates integration of public participation, consideration of “landscape services”, the inclusion of ecosystem disservices, and the use of landscape metrics for qualitative assessment of services. As a result, the framework looks to enhance spatial planning practice by providing: (i) a better consideration of landscape configuration in the supply of services (ii) the integration of anthropogenic services with ecosystem services; (iii) the consideration of costs derived from ecosystems (e.g. disservices); and (iv) an aid to the understanding of ecosystem services terminology for spatial planning professionals and decision makers