International Journal of Civil Engineering and Technology (IJCIET) Volume 10, Issue 04, April 2019, pp. 221-231, Article ID: IJCIET_10_04_024 Available online at http://www.iaeme.com/ijciet/issues.asp?JType=IJCIET&VType=10&IType=04 ISSN Print: 0976-6308 and ISSN Online: 0976-6316 © IAEME Publication Scopus Indexed ON-STREET PARKING PROBLEMS IN CBD AREA & REMEDIEL MEASURES-A CASE STUDY OF GODHRA CITY Naitik Gandhi and Jayesh Juremalani Department of Civil Engineering, Parul Institute of Engineering and Technology, Parul University, Vadodara,Gujarat,India. ABSTRACT The unprecedented growth of vehicles has increased parking space demand into cities. It has a considerable effect on transportation development in the city. The availability of less space in urban areas has rising demand for parking space principally in central business district. Ill-effects of insufficient parking space in cities are many. Godhra is a well-known city of Panchmahal district in Gujarat which has a population of 1.62 lakh (2011). As the traffic on the existing road system in the Godhra city increases, congestion becomes serious problem. Thus, parking surveys have been carried out for collecting data about parking avaibility and requirement and its effect on present scenario. Fixed period sampling survey method is used for parking demand and Parking space inventory survey is carried out for parking supply at the study area. Analysis shows that peak demand and parking index are almost 1.5 times more of demand than supply and it is alarming stage for parking problem. Requirement of parking has been fulfilled by designing off-street parking facility for on street parking user so that they can park their vehicle safely and it is more helpful to transportation system by increasing utilization of carriage way width. Design of Multi level parking space has been done according to demand and supply available by using ParkCAD(5.0) and as per the SP-12(2015)Guidelines for parking facilities in urban area. Results help in reducing the congestion of on-street parking and diverge the demand to off-street parking. Keyword: On-street parking, Off-street parking, ParkCAD, Parking Demand, Parking supply Cite this Article: Naitik Gandhi and Jayesh Juremalani, On-Street Parking Problems in Cbd Area & Remediel Measures-A Case Study of Godhra City, International Journal of Civil Engineering and Technology, 10(04), 2019,pp. 221-231 http://www.iaeme.com/IJCIET/issues.asp?JType=IJCIET&VType=10&IType=04 1. INTRODUCTION Every Mega cities and towns in India face many parking problems. Due to heavy increase of vehicles in India, parking has become the new trouble along with pollution and poor quality http://www.iaeme.com/IJCIET/index.asp 221 editor@iaeme.com Naitik Gandhi and Jayesh Juremalani roads. There are two type of parking system, one is off-street parking and the other is on street parking. Off-street parking is frequent in big shopping malls and theatres and huge offices which are utilized by employers & customers and relative stakeholders, on the other side onstreet parking is traffic problem generator as the parking is directly implemented by market stake holders, with single parking and hence has elevated demand of it and is known as public property, too. The solution to this problem is accurate survey and systematically management of traffic and pedestrian. Before taking any measures for improving facilities, data regarding availability of parking space, extent of it usage and parking surveys are required. There are some parking definitions which are described below, Parking accumulation:-The total number of vehicles park in an area at a particular moment. Parking volume:-The number of Vehicle Park in a particular area in a set phase of time. It is typically measured in vehicles per day. Parking load:- The area covered by the parking accumulation curve during a set phase of time. Parking duration:- The period of time spent by a vehicle in a parking space. Parking index: Number of parking bays is actually occupied by park vehicle with respect to the theoretical number of bays available. Number of bays occupied Parking index= Theoretical number of bays available × 100 Parking turn-over:- Number of the handling of the deployable parking places. If there are 10 parking spaces used 100 vehicles in a period of, say 12 hours, then the parking turn over would be: 100 = 10 = 10 vehicles per bay in a time of 12 hours ParkCAD™ is the industry-leading CAD software for designing and editing many types of parking layouts in minutes, not hours. Create a maximum number of parking stalls within a boundary or generate rows and aisles from CAD lines. Aisles and stalls are placed efficiently, resulting in a decrease of underused areas. Paint aisles, curbs and islands are shown realistically. Experiment with different stall sizes and angles. Make edits to your design and get instant feedback during the process. ParkCAD’s powerful layout and editing tools allow users to increase productivity, save time, and money. Optimization tools, real-time parking stall counts, customization and versatility are what takes the parking lot design process to the next level. ParkCAD(5.0) uses IRC SP-12(2015) standard guidelines for layout designing. 2. STUDY AREA PROFILE Godhra is a city in Panchmahal district in Indian state of Gujarat. It is the directorial center of operations of the Panchmahal district. It describes that it has also key transport center existing in district with a main bus stand and Railway station situated in district which shows key requirement of roads for transportation. Bus stand road is a main study Area at the heart of the city. Its width of Right of way is 15m divided and it has flexible type pavement. Bus stand road has 3 hotels to and 12 major restaurants with 12 commercial hub, 1 Bank, 1 Hospital, 1 Temple, 1 church on the side of street itself. This street is a connecting link to Godhra from all the nearer cities and it tends extra density of traffic and higher requirement of parking for guests and clients. http://www.iaeme.com/IJCIET/index.asp 222 editor@iaeme.com On-Street Parking Problems in Cbd Area & Remediel Measures-A Case Study of Godhra City (Source: Google earth) Figure 1 Location of study area (Source: Town planning office, Godhra) Figure 2 Land use plan of study area Figure -2 shows land use plan of shows study area. The study area has 1.1 km lane and a trip of study area consist of 2.2 km. It is necessary to divide study area in segments so surveyor can work accurately in given time period. Study area is divided into 4 segments which is shown in Figure 3, 1. Bus stand to Atithi Hotel 2. B.N. Chambers to Bus stand 3. Church to B.N. Chambers 4. B.V.Gandhi Petrol pump to Church http://www.iaeme.com/IJCIET/index.asp 223 editor@iaeme.com Naitik Gandhi and Jayesh Juremalani (Source: Google Maps) Figure 3 Segment division of study area 3. PARKING SURVEY DATA Proper knowledge of available parking spaces in an area is necessary for designing a parking space for CBD, as planning have to be tailor-made accordingly. 3.1. Parking Supply Survey The data of on-street parking supply was collected by parking space inventory survey. To calculate on-street parking supply, the length and width of the Street were measured. The ECS for on-street parking is 20 sq m, based on which the on-street parking supply was Calculated as shown in Table 1. Location of On-street parking facilities are showed in Figure 4. It was noted during the field survey that the complete stretch of roads could not be utilized due to improper parking. Due to entry and exit gates of buildings and off-street parking, only at a certain kerb space are used. http://www.iaeme.com/IJCIET/index.asp 224 editor@iaeme.com On-Street Parking Problems in Cbd Area & Remediel Measures-A Case Study of Godhra City (Source: Google earth) Figure 4 Segment-wise parking supply in study area Table 1 On-street parking facilities and ECS calculations (ECS=2 sq.m. Source:SP-12:2015) No. Name of Place Approx Length in m App.Width in m Total area (SQ.M) Total ECS (SQ.M) 1 2 3 4 Bombay cold drinks On road Parking Block 01 On road Parking Block 02 Mahalaxmi complex Mangal murti complex On road Parking Block 03 Trimurti Complex On road Parking Block 04 On road Parking Block 05 Sagar Complex On road Parking Block 06 Satguru Complex On road Parking Block 07 On road Parking Block 08 Shriram Complex On road Parking Block 09 Chatkazz Centre Point Krishna sweet mart Sahyog Complex Rixa stand no.17 On road Parking Block 10 On road Parking Block 11 On road Parking Block 12 ShankarComplex Police colony area B,n,chambers Mahaveer complex On road Parking Block 13 On road Parking Block 14 17 25 11.50 5 17.5 4 15 14.5 10.60 15.75 9.75 25 30 9 18.25 16.5 5 14.5 6.50 20.5 20 6 18.5 75 45 125 21 11 22.75 51 1.6 1.25 5 2 2.25 2.5 2.4 2.75 2.75 4.5 4.5 4 3.5 3 3 4.5 5 3 3 5 4 4 4 4.5 3 2.5 4 4 4 4.5 27.2 31.25 57.5 10 39.375 10 36 39.875 29.15 70.875 43.875 100 105 27 54.75 74.25 25 43.5 19.5 102.5 80 24 74 337.5 135 312.5 84 44 91 229.5 1.36 1.5625 2.875 0.5 1.96875 0.5 1.8 1.99375 1.4575 3.54375 2.19375 5 5.25 1.35 2.7375 3.7125 1.25 2.175 0.975 5.125 4 1.2 3.7 16.875 6.75 15.625 4.2 2.2 4.55 11.475 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 25 26 27 28 29 30 http://www.iaeme.com/IJCIET/index.asp 225 editor@iaeme.com Naitik Gandhi and Jayesh Juremalani 31 32 On road Parking Block 15 On road Parking Block 16 Total 25.5 190 5 2.5 127.5 475 2960.6 6.375 23.75 148.03 Length is available for on-street parking. Based on this information, The on-street parking supply in Central Business district at Bus stand road, Godhra was calculated to be 148.03 ECS. 3.2. Parking Demand Survey Parking survey was carried out on 3 working days of a week (from 11.30 a.m. to 6 p.m). i.e, 9 days in 3 weeks. The purpose of the survey was to get data on the pattern of parking demand at various locations within the study area. The fixed period sampling method survey was conducted to collect the parking data. In this, a surveyor notes down numbers of all parked vehicles after every 30 minutes time interval within his segment. Data collected are, 1. Number of vehicle parked 2. during peak hours 3. Total Parking Load 4. Parking accumulation 5. Parking volume Parking demand of different types of vehicle has been converted to ECS as per SP-12(2015). Two wheeler and Three wheeler ECS has been converted to0.25 and 0.50 respectively. According to the survey results, the overall parking accumulation for the study area was calculated. Parking accumulation is equal to the total cars (or ECS) parked at any given point of time, thus, it is an accurate expression of the parking demand at different times during the day. From the survey it seems that parking demand increase with time till 1-1.30 p.m. then decreases till 3-3.30 p.m. and again takes rise for remaining period of time. Peak ECS observed at 8th day 1.00 p.m. as 239.5 ECS. All day Parking accumulation has been merged and analyzed which shows peak ECS demand at peak hour which shows below Figure 5, ECS during survey period 300 250 239.25 ECS 200 150 100 50 0 1st day 2nd day 3rd day 4thday 5th day 6th day 7th day 8th day 9th day Space Available TIME (Source: Author) Figure 5 Parking accumulation curve http://www.iaeme.com/IJCIET/index.asp 226 editor@iaeme.com On-Street Parking Problems in Cbd Area & Remediel Measures-A Case Study of Godhra City 4. ANALYSIS OF PARKING DEMAND Analysis has been done in three parts parking volume, parking index and parking turn-over which are discussed below. 4.1 Parking volume The total number of Vehicle Parked in a particular area in a set phase of time. It is typically measured in vehicles per day. Table 2 Parking volume (in ECS/6.5 hrs) (Source: Author) DAY PARKING VOLUME (ECS PER 6.5 HOURS ) 1ST-DAY 2322 ND 2298.5 RD 2328.75 th 4 -DAY 2329.75 5th-DAY 2407.75 2 -DAY 3 -DAY th 2312.5 th 2293.5 th 2353.75 th 2340.75 6 -DAY 7 -DAY 8 -DAY 9 -DAY 4.2. Parking Index Number of parking bays, actually occupied by parked vehicle with respect to the theoretical number of bays available. It is denoted in unit of “%”. Number of bays occupied Parking index= Theoretical number of bays available × 100 Table 3 Average parking index (in %) in each interval for 9 days 1ST DAY 2ND DAY 3RD DAY 4TH DAY 5TH DAY 6TH DAY 7TH DAY 8TH DAY 9TH DAY (Source: Author) 11.30 127.68 130.55 129.87 131.05 140.85 122.27 116.02 126.83 131.05 12.00 137.47 136.12 142.88 140.68 147.77 140.34 135.95 138.82 140.85 12.30 146.25 148.28 154.87 150.48 157.23 148.45 145.07 143.55 152.50 1.00 155.88 149.80 147.94 151.66 155.37 156.39 152.17 161.62 153.18 1.30 134.09 132.24 124.47 129.53 142.54 116.02 133.42 142.54 138.49 2.00 118.89 120.08 116.36 121.77 127.00 117.04 114.33 122.10 122.10 2.30 102.85 97.11 105.55 86.81 102.68 102.34 104.71 105.55 100.82 3.00 98.63 98.80 102.18 101.84 111.63 99.81 102.68 100.99 96.26 3.30 96.26 99.47 99.64 97.62 106.74 97.78 91.87 99.98 93.73 4.00 114.00 109.94 114.84 113.32 107.24 108.42 113.15 111.46 115.85 4.30 107.58 111.80 107.58 117.04 106.57 118.73 112.48 111.97 113.32 5.00 117.21 111.13 114.84 116.36 112.31 118.73 115.69 113.15 112.14 5. 30 111.80 107.41 112.14 115.69 108.59 115.85 111.80 111.46 110.96 http://www.iaeme.com/IJCIET/index.asp 227 editor@iaeme.com Naitik Gandhi and Jayesh Juremalani 4.2. Parking Turn-over Number of handling of the usable parking places. If there are 10 parking spaces used for 100 vehicles in a period of time, say 12 hours time, then the parking turn over would be: 100 = 10 = 10 vehicles per bay in a time of 12 hours. Table 4 Average parking Turn-over (in ECS/bay in 6.5 hrs) for 9 days DAY 1ST-DAY 2ND-DAY 3RD-DAY 4th-DAY 5th-DAY 6th-DAY 7th-DAY 8th-DAY 9th-DAY (Source: Author) TURN OVER (ECS PER BAY IN 6.5 HOURS ) 15.69 15.53 15.73 15.74 16.27 15.62 15.49 15.90 15.81 Peak Parking demand is 239.25 ECS and supply is only 148.03 ECS which is more than satisfactory at any point of time so requirement is 91.22≈ 92 ECS. Peak Parking Index is 161.62%. If it is more than 100% it shows the alarming condition of parking because parking is done on right of way according to collected data and which shows the decreasing utility of right of way. 5. DESIGN OF PARKING SPACE Due to the less space avaibility in study area we have to design a space for Multi-storey car parking, Basic requirement of multi-storey car parking and description of multi-storey parking are discussed below. Surface parks consume too much of the precious land in the city and are not, therefore, always feasible. One of the alternatives when land is costly is to provide multi-storey parking. Such facilities have become common and popular in many cities. The car parking floors, the ramps, the entrance and the exits should be equipped with well lighting. Parking space for designing purpose are found at study area as shown in Figure 6, http://www.iaeme.com/IJCIET/index.asp 228 editor@iaeme.com On-Street Parking Problems in Cbd Area & Remediel Measures-A Case Study of Godhra City (Source: Google earth) Figure 6 Proposed design area and its dimension Design standard for ramps 1. Gradient of the ramp:1 in 10 2. Clear height between floors: 2.1m 3. Width of traffic lane on ramps and enterance : 3.75m 4. Loading standard 400kg/m2 Design requirements of building Parking space required: 92 ECS 1. Gradient of the ramp:1 in 10 2. Clear height between floors: 2.1m 3. Length of ramp: 21m 4. Loading standard 400kg/m2. Proposed Design using ParkCAD(Version 5.0). It has 3 layout design methods, 1. Boundary Line Design 2. Straight Line Design 3. from point design The Boundary line method is used for parking layout. For only one storey, it cannot satisfy parking demand. For designing required amount of parking demand, Design of ramp and 3 storey building for parking space needed. http://www.iaeme.com/IJCIET/index.asp 229 editor@iaeme.com Naitik Gandhi and Jayesh Juremalani (Source: Google earth) Figure 7 Proposed off-street parking design Design Description ECS Design: 99 ECS Building Dimensions: 21 m*43 m Single Parking ECS dimension: 2.5 m*5 m Cost of Construction: 3.96 cr Rs.(Source:SP-12(2015) 6. CONCLUSION & RECOMMANDATION Fixed period sampling survey and parking space inventory survey has been done on study area for demand and supply estimation which shows that total parking space available is 148 ECS on Bus-stand Road, Godhra. Total parking demand is 240 ECS at study area. Demand is 1.6 times than supply so study area has requirement of 92 ECS. Results show that parking index is 161% at Bus-stand Road, Godhra. Average Parking Turn-over is 15 ECS/bay in 6.5 Hrs of time at study area. Average Parking Volume is 2332 ECS/6.5 Hrs at Bus-stand Road, Godhra. Required ECS has been designed as per SP-12(2015) in ParkCAD(5.0). Estimated Cost of Proposed Multistory Parking facility is 3.96 Cr Rs.(SP-12(2015)). REFERENCES [1] [2] [3] [4] L. R Kadiyali. Traffic Engineering and Transportation Planning. Khanna Publishers, New Delhi,1987. Venessa W.S. Tang, Yuan Zheng, Jiannong Cao, An Intelligent Car Park Management System based on Wireless Sensor Networks. 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