TY  - BOOK
AU  - Rachapudi, Lakshmi Sahitya
AU  - Dubey, Vishal (Guide)
TI  - Delimiting urban sphere of influence : a case of Vijaywada city (Also available on CD)
U1  - P TH-2048 
PY  - 2016///
N1  - CONTENTS I. Introduction . 1  1. Introduction to the topic: . 1  2. Background: . 1  3. Rationale: . 4  4. Aim:  5  5. Objectives:  5  6. Research Questions:  6  7. Scope:  7  8. Limitations: . 7  9. Methodology:  8  II. Towards a Definition for Urban Sphere of Influence 9  1. Urban Sphere Of Influence:  9  2. USI – Across the World: . 9  3. History and Concept of Distance Decay:  10  4. Christaller’s Central Place Theory: . 11  5. Von Thunen’s Model: 12  6. Theories ascertained: . 13  a. The Rank-size rule: . 13  b. The Law of Primate city:  14  c. Urban hierarchies: . 15  III. Case Studies:  16  1. Hyderabad Metropolitan delimitation by Mansoor Alam . 16  2. Calcutta Metropolitan region . 17 3. Delhi - NCR  19  4. Madras Metropolitan region  20  5. Bombay Metropolitan region . 21  6. APCRDA Vijayawada City Delimitation  22  7. Summary of Learnings . 22  8. Shortlisting of Indicators . 25  9. Modern Indicators:  27  IV. City and Its Context . 28  1. “Vijayawada – The place of Victory” . 28  2. Why Vijayawada? . 28  3. Evolution of the city and Metropolis  32  4. Existing Administrative Boundaries  33  5. List of indicators to use for analysis  37  V. Delineation Scheme For Vijayawada  39  1. Selection of Study area: . 39  2. Indicator wise analysis 40  a. Geographic Indicators:  40  b. Demographic Indicators:  44  c. Transport and Communication  56  d. Socio-Economic Indicators: . 60  3. Limitation of the urban sphere of influence for the city . 66  VI. Proposal and Recommendations  69  1. Comparison of USI with existing boundaries  69  2. Recommendation for Vijayawada City  70  3. Discussion with the city officials . 71  a. A talk with Manohar Kumar.B - Assistant Planner at APCRDA . 71 b. A talk with Divya Karlapudi - Assistant Director at APCRDA . 73  4. Conclusion  74  VII. Annexure  76  1. Table 1: Railway ticketing data for passenger trains  76  2. Table 2: Bus ticketing data – city and district service . 79  3. Table 3: Census Data for mapping  80  VIII. Bibliography  105
ER  -