Doctoral Research Framework · 2027

The Meguri
Framework

Managed Ecosystem Generating Unified Revenue Internally

A framework for designing integrated multi-node developments that sustain themselves through internal circulation — independent of external market conditions.

Internal Circulation VISITOR LOOP INVENTORY LOOP COMPOUND LOOP
§ 01

The Concept

What if a destination did not need anything around it to succeed?

Meguri is a single integrated ecosystem where multiple experience-driven nodes operate under one master structure — each commercially independent, but designed to circulate visitors and revenue between them. Residential landowners are structurally tied to the ecosystem's success. Every addition strengthens the whole.

The place does not rely on what is around it. It is built to sustain itself from within.

M
Managed
Single master governance structure
E
Ecosystem
Interdependent, not isolated nodes
G
Generating
Endogenous demand creation
U
Unified
Shared infrastructure & identity
R
Revenue
Multi-stream commercial viability
I
Internally
Independent of external conditions
§ 02

The Framework

Three self-reinforcing loops
that drive the system

Loop 01
Visitor Loop

A visitor arrives for one node and encounters the others. Dwell time extends. Spend increases across the ecosystem. They return. They refer. The internal pull compounds over time.

Loop 02
Inventory Loop

Plot owners build residential assets within the ecosystem and return them for managed hospitality use. They earn rental income. Their land appreciates. The developer acquires inventory without bearing construction cost.

Loop 03
Compounding Loop

Each new node increases the ecosystem's draw. Higher footfall raises revenue. Rising revenue increases land value. Greater land value attracts more owners. Every addition strengthens every part that came before it.

§ 03

Research Hypotheses

Four testable propositions
built from theory

H1

Nodes sharing an experiential journey (agro-tourism → wellness → accommodation) will exhibit stronger positive cross-demand effects than nodes with low experiential overlap.

H2

A multi-node system with designed interdependency will show lower revenue volatility across seasons than comparable standalone single-node operations.

H3

Residential nodes embedded within an active experiential ecosystem will demonstrate higher long-term asset retention and repeat engagement than those in isolated developments.

H4

The presence of a wellness or slow-consumption node will extend average visitor dwell time and increase per-visit spend across the ecosystem.

§ 04

Vedbhoomi, Raigad —
a live operating
system

The research is not theoretical. Vedbhoomi is 51 acres in Raigad, Maharashtra — nine nodes, each with its own commercial model, all operating within one ecosystem. The researcher is the developer and operator, with direct access to every transaction, every visitor record, and every stakeholder decision across every phase of development.

51
acres, contiguous
9
thematic nodes
~5
acres per planet
data access
Sun — Mitraay Agro ResortOperational
Earth — VasundharaPlots open
Saturn — KrushnakunjLaunching Jul 2026
Mercury — Adventure ParkPlanned
Mars — Shivaji Maharaj EmpirePlanned
Jupiter — International HubPlanned
Venus — Yoga CentrePlanned
Uranus — GaushalaPlanned
Neptune — Naturopathy CentrePlanned
§ 05

The Research

A longitudinal study
of a live system

Existing scholarship on integrated resorts concentrates on large-scale, capital-intensive, brand-led complexes — Marina Bay Sands, Sentosa. The firm, not the designed ecosystem, is the unit of analysis.

This study addresses both gaps: extending business-ecosystem theory into physical, place-based development, and producing a replicable framework for small-to-medium developers, planners, and tourism boards.

The researcher's dual role as developer-operator provides continuous, unmediated access to a live operating system — enabling longitudinal tracking, real-time variable control, and the ability to deploy and measure design interventions as they unfold.

Aditya Mithare · B.Tech Mechatronics (CGPA 8.8) · PhD Candidate · 2027

System Dynamics Modelling
Map reinforcing and balancing feedback loops between nodes; simulate design interventions
Panel-Data Regression
Quantify each node's contribution to system revenue; isolate cross-node demand effects
Cross-Case Node Analysis
Identify which node combinations produce the strongest mutual demand lift
Thematic Analysis
Interpret visitor motivations and cross-node engagement logic from interviews and field notes
Comparative Benchmarking
Situate findings against integrated-resort and mixed-use development literature
§ 06

Get in touch

For research collaboration,
developer enquiries,
or site visits

Vedbhoomi, Nijampur Mangoan, Raigad, Maharashtra · 2.5 hrs from Mumbai · 2 hrs from Pune