CHAPTER VII

MARKET DEVELOPMENT PROPOSALS

LAND UTILIZATION PATTERN IN MARKETS

To cope up with increasing marketable surplus more and more market committees are formed but markets are not being planned properly. The pre-construction planning of physical markets is not given the consideration it calls for. It requires expertise and detailed analysis of ground facts about a specific market for deciding the scale and type of various infrastructural services and facilities to be provided. Ensuring shifting of trade to a new site also needs consideration at the pre-construction stage itself to avoid colossal waste of land, one of the vital resources. The past experience in the field brings out the fact clearly that critical knowledge about the special facts and requirements of market and their planning has been inadequate among those who have been entrusted the all-important jobs. Because of the reason, most of the important markets of advanced states like Haryana, have been noticed lying idle where no trade has been shifted. This signifies that the market planning require expertise. Therefore, it is necessary to explore possibilities to propagate some guiding principles for market development in the state with reference to spatial distribution. So as to fulfill this requirement, for the first time in the country, this master plan has been provided with the attention on proposing land utilization pattern.

FAO has published guidelines for spatial distribution and land utilization pattern necessary before embarking upon planning and construction of markets. Keeping in view the global preferences and guidelines, the Directorate of Marketing and Inspection, Govt. of India, conducted various studies. The NIAM also prepared the Country Level Action Plan for fruit and vegetable markets in cities above 2-lakh populations and analysed the pattern. Since, no generalization could be possibly achieved, the DMI further conducted an exhaustive study on land utilization pattern of Tamilnadu during 1998. The study proposes the preferred land utilization pattern and the same have been adopted for this master plan.

The preferred land utilization is one, which provides maximum operationl efficiency. As per the recommendation made in the report following percentage of land use has been proposed.

Table 7.1

Proposed Land Utilization Pattern

S.N.	Utilization	Percentage
1.	Marketing Activities	25
2.	Allied Activities	10
3.	Parking & Circulation	65

Physical Infrastructure

The identification and provision of various need based physical infrastructure in a market is a tricky issue. For this purpose the user population needs to be calculated first. This will include traders, producers, middlemen and above all the consumers. The other process of calculating the user population is the empirical formula arrived at by FAO experts, who recommended a factor of 3.7 persons/tones/day. Certain services should be provided as proposed below for a fruit and vegetable market based on user population.

      -    User Population       - 3.7 person/MT/day
      -         Water Closets & Ablution Taps   - Minimum 2 plus/per 50 persons
      -         Urinals                               - 2 per 50 persons
      -         Water                                             - 45 L per capita demand
      -         Sewer                                           - Water requirement as 36 LPCD (80% of water load)
      -         Electricity                                       - 1 KW for 4 Mt/day

If the user population is more, the area under allied activities will definitely go up.

Following table presents the requirement of space on the basis of adopted norms for various facilities and services proposed to be provided in all categories of markets of Chhatishgarh. Marketwise space required and land utilization pattern proposed is given in annexures.

Table 7.2

Required Market Space and Proposed Land Utilisation Pattern (Area in sq. mt.)

S.No.	Mandi	Total Area Available	Space Required for Development	Space Required for Marketing	Space Required for Allied Activities	Space Required for Parking and Circulation
1	Raipur	460000	122668	30667	12266.8	79734.2
2	Silyari	40000	10668	2667	1066.8	6934.2
3	Shashtri Bazar	40000	10668	2667	1066.8	6934.2
4	Fal Bazar, Lalpur	10000	2668	667	266.8	1734.2
5	Bhatapara	54337	14488	3622	1448.8	9417.2
6	Simga	62902	16772	4193	1677.2	10901.8
7	Navapara	24800	6612	1653	661.2	4297.8
8	Aarang	8502	2268	567	226.8	1474.2
9	Palari	28390	7572	1893	757.2	4921.8
10	Bhattgaon	17200	4588	1147	458.8	2982.2
11	Seewa	10000	2668	667	266.8	1734.2
12	Garibandh	55000	14668	3667	1466.8	9534.2
13	Chhura	20900	5572	1393	557.2	3621.8
14	Abhanpur	23230	6196	1549	619.6	4027.4
15	Mahasamund	113755.32	30336	7584	3033.6	19718.4
16	Bhoring	22020	5872	1468	587.2	3816.8
17	Jhalap	15722.28	4192	1048	419.2	2724.8
18	Basna	11260	3004	751	300.4	1952.6
19	Bagbhara	52000	13868	3467	1386.8	9014.2
20	Tendukona	20000	5332	1333	533.2	3465.8
21	Komakhan	15000	4000	1000	400	2600
22	Bhimkhoj	10000	2668	667	266.8	1734.2
23	Saraipali	28784	7676	1919	767.6	4989.4
24	Balado	20200	5388	1347	538.8	3502.2
25	Toshgaon	20000	5332	1333	533.2	3465.8
26	Pithora	13070	3484	871	348.4	2264.6
27	Sankra	10560	2816	704	281.6	1830.4
28	Dhamtari	16320	4352	1088	435.2	2828.8
29	Amdi	25000	6668	1667	666.8	4334.2
30	Kurud	13700	3652	913	365.2	2373.8
31	Bhakhara	44800	11948	2987	1194.8	7766.2
32	Nagari	32500	8668	2167	866.8	5634.2
33	Barai	25000	6668	1667	666.8	4334.2
34	Belargaon	25000	6668	1667	666.8	4334.2
35	Rijgaon	25000	6668	1667	666.8	4334.2
36	Durg	200000	53332	13333	5333.2	34665.8
37	Dhamdha	16200	4320	1080	432	2808
38	Patan	10000	2668	667	266.8	1734.2
39	Balod	0.44	0	0	0	0
40	Doundilohari	10	4	1	0.4	2.6
41	Rajnandgaon	231880	61836	15459	6183.6	40193.4
42	Bandhabazar	55190	14716	3679	1471.6	9565.4
43	Chowki	8000	2132	533	213.2	1385.8
44	Chhuriya	63300	16880	4220	1688	10972
45	Dungargarh	3939	1052	263	105.2	683.8
46	Dungargaon	34656	9240	2310	924	6006
47	Kheragarh	79392	21172	5293	2117.2	13761.8
48	Ganda1	52000	13868	3467	1386.8	9014.2
49	Kawarda	18964	5056	1264	505.6	3286.4
50	Pipariya	21550	5748	1437	574.8	3736.2
51	Pandria	6400	1708	427	170.8	1110.2
52	Jadalpur	24000	6400	1600	640	4160
53	Kondagaon	81440	21716	5429	2171.6	14115.4
54	Narainpur	28100	7492	1873	749.2	4869.8
55	Keshkal	20000	5332	1333	533.2	3465.8
56	Kanker	8860	2364	591	236.4	1536.6
57	Charama	43400	11572	2893	1157.2	7521.8
58	Gidam	39880	10636	2659	1063.6	6913.4
59	Bijapur	60000	16000	4000	1600	10400
60	Bilaspur	54337	14488	3622	1448.8	9417.2
61	Bilha	5400	1440	360	144	936
62	Beltra	0	0	0	0	0
63	Mungeli	66360	17696	4424	1769.6	11502.4
64	Pathari	20000	5332	1333	533.2	3465.8
65	Sargaon	20000	5332	1333	533.2	3465.8
66	Jairamnagar	24293	6480	1620	648	4212
67	Kota	60000	16000	4000	1600	10400
68	Lormi	55400	14772	3693	1477.2	9601.8
69	Pendraroad	50500	13468	3367	1346.8	8754.2
70	Takahatpur	30440	8116	2029	811.6	5275.4
71	Sakari	20000	5332	1333	533.2	3465.8
72	Naila	80920	21580	5395	2158	14027
73	Baloda	3278.1	876	219	87.6	569.4
74	Shiori Narayana	8092	2156	539	215.6	1401.4
75	Shakti	89900	23972	5993	2397.2	15581.8
76	Barathar	28000	7468	1867	746.8	4854.2
77	Kotni	8000	2132	533	213.2	1385.8
78	Hasaud	12000	3200	800	320	2080
79	Chanderpur	20000	5332	1333	533.2	3465.8
80	Champa	69123	18432	4608	1843.2	11980.8
81	Birra	10117.5	2700	675	270	1755
82	Akaltara	47900	12772	3193	1277.2	8301.8
83	Rahaud	20000	5332	1333	533.2	3465.8
84	Katghora	60000	16000	4000	1600	10400
85	Raigarh	20000	5332	1333	533.2	3465.8
86	Pussour	20000	5332	1333	533.2	3465.8
87	Chikhali	10000	2668	667	266.8	1734.2
88	Sarangarh	20200	5388	1347	538.8	3502.2
89	Kedar	20000	5332	1333	533.2	3465.8
90	Beramkela	25800	6880	1720	688	4472
91	Saria	20000	5332	1333	533.2	3465.8
92	Ghargoda	22300	5948	1487	594.8	3866.2
93	Kharsia	18400	4908	1227	490.8	3190.2
94	Jaispurnagar	24300	6480	1620	648	4212
95	Kunkuri	40770	10872	2718	1087.2	7066.8
96	Pathalgaon	6300	1680	420	168	1092
97	Dharamjaygarh	19830	5288	1322	528.8	3437.2
98	Kotava	16920	4512	1128	451.2	2932.8
99	Bugechha	0	0	0	0	0
100	Ambikapur	20900	5572	1393	557.2	3621.8
101	Raghunathpur	6562.5	1752	438	175.2	1138.8
102	Kakni	0	0	0	0	0
103	Bariyan	0	0	0	0	0
104	Rajpur	0	0	0	0	0
105	Udaipur	5400	1440	360	144	936
106	Ramnuganj	56000	14932	3733	1493.2	9705.8
107	Surajpur	0	0	0	0	0
108	Kusmi	20230	5396	1349	539.6	3507.4
109	Baikunthpur	0	0	0	0	0

Table 7.3

Categorywise preferred land Utilisation pattern

And Average Requirement

Category	Nos		Preferred Area (Sq.Mt.)			Average Area (Sq.Mt.)
Category	Nos	Total Area	Marketing	Allied	Parking	Marketing	Allied	Parking

A	28	458424	114606	45842.40	297975.60	4093.07	1637.23	10641.99
B	18	178300	44575	17830.00	115895.00	2476.39	990.56	6438.61
C	18	138400	34600	13840.00	89960.00	1922.22	768.89	4997.78
D	45	232908	58227	23290.80	151390.20	1293.93	517.57	3364.23
Total		1008032	252008	1008032	6552208

The table presents an indicative picture of average area required in each category of markets. For examples, in ‘A’ category markets, on an Average, 4093 sq mt. of space is required for marketing activities as compared to 1637 and 10641 sq. mt. for allied services and circulation and parking, respectively. Total area required for these facilities in the state is given in the table which shows that out of the total of 1008032 sq. mt. of area 252008 sq. mt. is required by all category markets for marketing activities (approximately 25%).

If the space is utilized as recommended above, it is expected that there would be minimum misutiliation of space and maximum efficiency in using the facilities created in the market. A common feature, which has been observed in most of the markets, is of either congestion or the trade not being shifted. If the pattern recommended is followed it would solve most of the problem and would bring marketing efficiency in the system.

Proposed Land Utilization Pattern

Marketing Activities

Table 7.2

Required Market Space and Proposed Land Utilisation Pattern (Area in sq. mt.)

And Average Requirement