Geo-spatial analysis on Socioeconomic mapping between Demographic data and Economic growth: A case study of Mumbai
The Industrial Revolution and globalization spurred global economic growth, creating financial hubs like New York and London. India�s post-independence focus on industrialization and 1991 liberalization fueled rapid growth in IT, manufacturing, and finance, with Mumbai emerging as a trade and investment hub. Maharashtra's robust industrial base and Mumbai�s strategic coastal location, migration, and key institutions like the RBI and BSE cemented its status as India�s financial capital.Aim: [3][4]To understand and evaluate GIS Mapping of Mumbai concerning economic growth and sustainability.Objectives: To identify the financial zones in Mumbai using GIS Mapping, to analyze the literature and case studies in Mumbai using GIS, and to develop Maps for demographic data and economic growth of Mumbai.Research question: RQ 1) What are the demographic characteristics of Mumbai? RQ 2) Why is Mumbai considered the financial capital of India in terms of economic growth?Methods and results: With the use of ArcGIS Pro and census data (2011) in shape files and table data, we developed a suite of symbology maps to visually represent and analyze data patterns and growth trends.Conclusion: Through ten literature reviews, the identified research gaps in Mumbai provided valuable insights into the city's financial growth. I utilized GIS tools to create maps that integrate demographic, GDP, and population data. These GIS maps reveal patterns that impact the planning and implementation of economic strategies in Mumbai. This research provides essential insights into spatial planning and financial management within the city, emphasizing how Mumbai's economic growth plays a crucial role in India's overall economic progress, effectively illustrated through the GIS visuals.Limitations: This study focuses on demographic and economic spatial data due to limitations in data availability and time constraints. Future research on Mumbai could expand to include sustainable indicators such as environmental factors, technological advancements, and governance practices.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-04-30
- DOI
- https://doi.org/10.5281/zenodo.17506481
- Primary Topic
- Urban and Rural Development Challenges
- Type
- article
- Field-Weighted Citation Impact
- 0.00