Growth Centres for Kalaburagi District: Settlement Hierarchy by Scalogram, Centrality and Gravity Model

This M.Plan regional-planning thesis identifies a hierarchy of settlements and a set of growth centres for Kalaburagi district in the Kalyana Karnataka region — an area that the state's own High Power Committee on regional imbalances (the Nanjundappa Committee, 2002) identified as among the most backward in Karnataka, and which now receives special development provisions under Article 371J of the Constitution.

Regional backwardness is partly a spatial problem: schools, health centres, banks, markets and bus services are spread thinly, so villages far from the few well-served towns cannot reach them. Growth-centre planning, rooted in Christaller's central place theory and applied in India since the 1970s, asks which settlements already have the functions and connectivity to serve their hinterland, and where new investment would spread services most widely.

The thesis uses Census 2011 Village and Town Directory data on amenities for every settlement in the district. It builds a scalogram (Guttman scale) of functions, computes a functional centrality index that weights each function by how rare it is, measures connectivity on the road network in QGIS, and estimates interaction between settlements with a gravity model. These are combined into a four-tier settlement hierarchy, mapped with service catchments, and used to propose growth centres, service centres and missing links — framed within district-planning practice under the 73rd and 74th Amendments.

Abstract

Kalaburagi district is marked by low urbanisation, dispersed villages and uneven access to services. This thesis applies established regional-planning techniques — scalogram analysis, functional centrality indices, network connectivity and gravity-model interaction — to Census 2011 settlement data in QGIS to derive a settlement hierarchy and identify candidate growth centres. The outcome is a spatial framework of growth centres, service centres and linkages that could guide district-level investment in health, education, markets and transport.

Introduction

The district lies in the Deccan plateau with black-cotton soils, rain-fed agriculture (pulses, especially tur, and jowar), and a few irrigated pockets. The district headquarters dominates services and employment; taluk towns follow; most villages depend on weekly markets and long bus journeys for anything beyond primary schools. The region's backwardness has been recognised in state policy and in the constitutional amendment that created Article 371J, with a dedicated development board and reserved funds.

Literature gap

Growth-centre studies in India, following R. P. Misra and the Mysore school of regional planning, often use scalogram and centrality methods on older census data and stop at ranking. Recent work on Kalyana Karnataka tends to focus on indicator-based backwardness indices at taluk level. There is a gap for a settlement-level, GIS-based hierarchy that combines functions, connectivity and interaction, tested for sensitivity and mapped as service catchments that planners can use directly.

Existing approach vs proposed approach

• Existing: investment follows administrative units and political demand; new facilities are often placed in taluk headquarters regardless of catchment; there is no settlement hierarchy in current district plans that planners can refer to.
• Proposed: an explicit, reproducible hierarchy with four tiers, catchments measured on the road network, and a shortlist of growth centres justified by function, centrality, connectivity and interaction scores.

Feasibility

• Data: Census 2011 Village and Town Directory and Primary Census Abstract are public; road networks are available from OpenStreetMap and can be checked against district maps.
• Technical: QGIS network-analysis tools, joins and thematic mapping, with Excel or SPSS for scalogram and correlation, run on an ordinary laptop.
• Institutional: results are expressed in the tiers and terms used in district planning, so they can be discussed with the district planning committee and line departments.

Kalaburagi district has one of the lowest levels of development in Karnataka, and services are concentrated in the district headquarters and a few taluk towns. A large share of villages must travel long distances on poor roads to reach secondary schools, community health centres, banks, regulated markets and colleges. Public investment decisions are made scheme by scheme without a shared spatial framework, so new facilities do not always reach the settlements best placed to serve their hinterland, and some well-located villages remain under-equipped.

The problem this thesis addresses is: which settlements in Kalaburagi district should be developed as growth centres and service centres so that essential functions reach the largest rural population within a reasonable travel distance, and what linkages are missing? The answer must be derived from settlement-level data using transparent, tested regional-planning techniques.

In scope

• All inhabited villages and towns of Kalaburagi district as enumerated in Census 2011, analysed at settlement level and summarised by taluk.
• Functions covered by the Village and Town Directory: education, health, banking and credit, markets, communication, transport, power, drinking water and administration.
• Road-network accessibility and gravity-based interaction between higher-order settlements.
• A spatial framework of growth centres, service centres and linkages with indicative facility additions.

Out of scope

• Detailed economic base or input–output analysis of the district.
• Primary household surveys across the district (limited field verification only).
• Project-level costing and budgeting of proposed facilities.
• Settlements in neighbouring districts, except as external attractors noted qualitatively.

The thesis follows a quantitative spatial research design with field verification and a proposals stage over about 24 weeks.

Field verification: short visits to a sample of settlements from each tier to check whether listed facilities actually function, with observation notes and conversations with gram panchayat members. No personal data is recorded.