2016 PARKING STUDY & REPORTS

Transcription

1 Attachment 7.5A 2016 PARKING STUDY & REPORTS Prepared for: Town of Banff, Engineering Department Dated: September 12, 2016 Prepared by: Indigo Park Canada Inc.

2 TABLE OF CONTENTS EXECUTIVE SUMMARY 3 Introduction of Project 3 1. PARKING DATA COLLECTION Objective of Parking Data Collection Area of Study Process of Collecting Data Key Parking Performance Indicators Parking Turnover Average Length of Stay Type of (Visitor versus Non-Visitor) Estimated Margin of Error Results from Collection of Data Parking Occupancy Parking Turnover Average Length of Stay Type of Bear Street Parkade Comparison 2014 vs Weather Comparison EXISTING & FUTURE PARKING REQUIREMENTS Surplus or Deficiency Peak Parking Demand Practical Supply & Estimated Surplus/Deficiency Current & Future Parking Surplus/Shortfall using assumptions from Bunt & Associates 2012 Transportation Master Plan IMPROVEMENTS & RECOMMENDATIONS Management of Recreational Vehicles (RV) Parking Solutions to Lower Demand for Parking Spaces Implementation Paid Parking Program Implementation of Free Licence Plate Entry Time Limit Parking Combination of Free and Pay Parking Increase of Transit and Other Modes of Transportation Stricter Enforcement of Infractions to Time Limit Parking Increase the Supply Build a Parking Structure Implementation of a Resident Parking Permit Program 18 APPENDIX Week 1 and 2 Summary 2015 Week 1 and 2 Summary 2016 Week 1 and 2 Summary

3 EXECUTIVE SUMMARY Introduction of Project In the summer of 2014, INDIGO (operating as VINCI Park) was engaged to perform an extensive parking study to evaluate key parking performance indicators, enforce parking bylaws, and implement a pilot paid parking system on five surface parking lots downtown. The study commenced June 26th and continued to September 29th, In 2015, INDIGO (operating as VINCI Park) was engaged to perform a smaller scale version of the 2014 study over the course of two separate 7 day periods. The weeks chosen were July 3rd July 9th and July 30th August 5th, and the terms of reference were to simply provide reporting for the following: Average Occupancy by Zone and Block o Occupancy Rate each hour by Zone and Block Peak Occupancy by Zone and Block o Peak Occupancy each hour by Zone and Block Peak Time by Zone and Block Total Number of Hours per day in Excess of 90% Capacity by Zone and Block Average Length of Stay by Zone and Block Turnover by Zone and Block Type (Visitor / Resident) Parking Stall Surplus / Shortfall Once again, in 2016, INDIGO was chosen to continue the smaller scale study as was completed in 2015, with the addition of 500 Banff Avenue. For the 2016 study, the weeks chosen were July 8th 14th, and July 28th August 3rd. In comparison to the similar weeks in 2015, the weeks in 2016 had marginally higher occupancy, similar peak times, identical turnover, and a longer length of stay. Parking Collection During the study periods, data was collected daily from 8:00 AM to 5:00 PM for a total of 126 hours of data collected. Our process scanned 56,580 unique license plates during the study which were parked in the Zones A, B, and C. Parking Occupancy Zone A, B, C Average occupancy in Week 1, 2014 was 61%. Peak average occupancy was 85% Average occupancy in Week 1, 2015 was 58%. Peak average occupancy was 84%. Average occupancy in Week 1, 2016 was 60%. Peak average occupancy was 82%. Average occupancy in Week 2, 2014 was 66%. Peak average occupancy was 92%. Average occupancy in Week 2, 2015 was 60%. Peak average occupancy was 87%. Average occupancy in Week 2, 2016 was 61%. Peak average occupancy was 83%. Peak Time Between the hours of 1:00 PM and 2:00 PM in all three years.

4 Number of Hours Exceeding 90% On average, with all zones combined together, overall parking spaces did not exceed 90% capacity during the study period in 2015 or In 2014, Week 2, two hours exceeded 90%. Parking Turnover Zones A, B, C Average turnover in Week 1, 2014 was Average turnover in Week 1, 2015 was Average turnover in Week 1, 2016 was Average turnover in Week 2, 2014 was Average turnover in Week 2, 2015 was Average turnover in Week 2, 2016 was Average Length of Stay Zones A, B, C Average length of stay in Week 1, 2014 was 113 minutes. Average length of stay in Week 1, 2015 was 104 minutes. Average length of stay in Week 1, 2016 was 109 minutes. Average length of stay in Week 2, 2014 was 110 minutes. Average length of stay in Week 2, 2015 was 96 minutes. Average length of stay in Week 2, 2016 was 107 minutes. For the weeks measured, traffic increased 5.7% in 2015, and an additional 2.6% in 2016, according to data from the Town of Banff website. Parking Surplus or Deficiency Zones A, B, C Based on a target of 95% occupancy as set by INDIGO: In Week 1, 2014 there was an average peak surplus of 158 parking spaces. In Week 1, 2015 there was an average peak surplus of 174 parking spaces. In Week 1, 2016 there was an average peak surplus of 205 parking spaces. In Week 2, 2014 there was an average peak surplus of 47 parking spaces. In Week 2, 2015 there was an average peak surplus of 127 parking spaces. In Week 2, 2016, there was an average peak surplus of 190 parking spaces. Based on the Bunt & Associates 2012 Report target of 85% for on-street and 90% for off-street parking stalls: In Week 1, 2014 there was an average peak surplus of 30 parking space. In Week 1, 2015 there was an average peak surplus of 46 parking spaces. In Week 1, 2016 there was an average peak surplus of 77 parking spaces. In Week 2, 2014 there was an average peak shortfall of 80 parking spaces. In Week 2, 2015 there was an average peak shortfall of 1 parking space. In Week 2, 2016, there was an average peak surplus of 62 spaces.

5 1. PARKING DATA COLLECTION 1.1 Objective of Parking Data Collection As there is a perception of a shortage of parking, especially during the summer months, it was essential that a thorough parking study be performed in order to obtain current parking related data. The data obtained can be used by the Town of Banff administration in order to recommend future solutions and improvements to Town Council in order to formulate and plan to alleviate traffic and parking congestion and to plan for future growth of economic activity in the Town of Banff. The parking study was carried out on a daily basis from July 8-14, 2016 and from July 28 - August 3, Data presented in this report is being compared to similar weeks in 2014 (June 30 July 6, & July 28 August 3) and 2015 (July 3 9 & July 28 August 3). 1.2 Area of Study As directed by the Town of Banff we focused our parking data collection services to the areas known as Zone A, Zone B, and Zone C. The data we collected was an in-depth study of each street block within each zone. Then we summarized each street by location as it referenced to each zone. We also summarized within each zone the on-street and offstreet locations. Finally we summarized the total of all parking in each zone as well as zones A, B, and C together. Zones A, B, and C were inspected daily. Zones D and E were not selected for study.

6 1.3 Process of Collecting Data We utilized two methods to collect all the parking related data for this project. These two methods are as follows: a. Mobile LPR Vehicle Driver We deployed a license plate recognition camera technology mounted to a vehicle that was utilized for the collection of data for all on- street parking spaces. The route the vehicle took approximately 45 to 60 minutes depending on traffic. The license plate scanned each vehicles license plate and stored this information in a database. Then the data collected was analyzed to ascertain the key parking performance indicators as described in the following sections. b. Manually We performed a physically counting system to record license plates. This was deployed on most of the surface parking lots. The route took approximately 45 to 60 minutes depending on how busy each parking lot was at the time of the data being collected. This information was uploaded into the same database used for the mobile LPR system. 1.4 Key Parking Performance Indicators All the data collected during this period of time was analyzed for the following key parking performance indicators: Occupancy Parking Turnover Average Length of Stay Type of (Visitor or Non-visitor) Parking Turnover Parking Turnover is defined as the estimated number of vehicles that use each parking stall throughout a period of time. The period of time we used was between the hours of 8:00 am 5:00 pm. Parking turnover is calculated by counting the number of vehicles observed in a given time frame, and dividing by the number of parking spaces in the facility Average Length of Stay Average Length of Stay is defined as the estimated duration of time a vehicle utilizes a parking space. As we visit each area approximately once per hour, it is not possible to obtain precise time of stay, but rather a range Type of (Visitor versus Non-Visitor) We attempted to identify each vehicle by type of user. We categorized the type of user in two groups as visitors and non-visitors. Visitors are all those coming to Banff on vacation or a leisure day trip. A non-visitor would be a resident, commuter, or someone otherwise working in Banff. This was a challenge so we had to resort to several assumptions. As a result the margin of error is much higher for this data collected.

7 1.5 Estimated Margin of Error With any parking study or collection of data there will be a margin of error. This is caused by the systems implemented. The system that we implemented was the most efficient and effective system in order to retrieve as much data as possible. Some of the results that cause this margin of error are the inaccuracy of the vehicles circulating and performing vehicle counts on an hourly basis. Vehicles could come and go between visits creating a margin of error. In addition to the timing of the visits the reliability of the effectiveness of capturing and reading of vehicle license plate by the mobile LPR system can be vulnerable. For example, some very dirty or damaged license plates are not read effectively. Also vehicles parked illegally in no parking zones could be recorded. In any event we have estimated the margin of errors to be as follows: Occupancy: +/- 2% - 5% Turnover: +/ Average Length of Stay: +/ minutes Type of : 10% - 25% 1.6 Results from Collection of Data We have provided the raw data in chart form from the Parking Collection study, excluding the Cascade Parkade which was not studied, and will summarize our findings as follows: a Paid Pilot Parking Locations b. ZONE A - Off-Street Locations c. ZONE A On-Street Parking d. ZONE A Total of all Parking e. ZONE B Off-Street Locations f. ZONE B On-Street Parking g. ZONE B Total of all Parking h. ZONE C Total of all Parking i. ZONE A, B, C Sum of all Parking In 2015 and 2016, there was approximately 200 parkers lost in Bear Street 200 surface lot in each week due to the Farmers Market as well as approximately 120 parkers lost daily due to the Woonerf on 200 Bear Street. (Approximately 1,040 parkers per week unable to utilize these areas that did in 2014.) Parking Occupancy Parking Occupancy is defined as a percentage of the number of occupied parking spaces at any given time during the day. When evaluating any parking operation we use either the average or peak occupancy to determine the demand for any parking facility. For this parking study we collected the following occupancy statistics: 1. Average Occupancy by Hour, Day, & Week 2. Peak Occupancy & Peak Time of Day 3. Number of Hours Occupancy exceeded 90%

8 Parking Occupancy Week 1 Week 1 Week 1 Week 2 Week 2 Week 2 June 30 July 3-9 July 8-14 July 28- Aug3 July 30 July 28 - July 6 (Pay Parking) August 5 August 3 Avg (%) 71% 71% 64% 71% 70% 64% Paid Pilot (2014) Hrs => 90% Avg (%) 70% 75% 71% 77% 71% 70% Zone A On-Street Peak 91% 98% 91% 100% 92% 92% Peak (Time) 12:55 14:00 14:00 14:00 13:00 14:00 Hrs => 90% Avg (%) 69% 61% 61% 65% 66% 64% Zone A Off-Street Peak 100% 97% 92% 100% 99% 92% Peak (Time) 14:00 15:00 13:00 15:00 14:00 13:00 Hrs => 90% Avg (%) 65% 66% 64% 68% 68% 66% Zone A Total Peak 95% 95% 89% 98% 95% 91% Peak (Time) 14:00 15:00 13:00 15:00 14:00 13:00 Hrs => 90% Avg (%) 46% 45% 52% 62% 49% 53% Zone B On-Street Peak 67% 100% 78% 89% 76% 76% Peak (Time) 13:10 14:00 14:00 14:00 14:00 14:00 Hrs => 90% Avg (%) 76% 65% 76% 82% 77% 79% Zone B Off-Street Peak 100% 100% 100% 100% 100% 100% Peak (Time) 13:00 14:00 14:00 14:00 13:00 11:00 Hrs => 90% Avg (%) 50% 48% 54% 66% 51% 56% Zone B Total Peak 78% 100% 80% 90% 76% 78% Peak (Time) 13:00 14:00 14:00 14:00 14:00 14:00 Hrs => 90% Avg (%) 50% 59% 56% 60% 54% 56% Zone C Total Peak 90% 100% 77% 86% 82% 81% Peak (Time) 12:36 14:00 14:00 14:00 14:00 14:00 Hrs => 90% Avg (%) 58% 60% 60% 66% 60% 61% Zone A, B, C Total Peak 84% 85% 82% 92% 87% 83% Peak (Time) 14:00 14:00 14:00 14:00 14:00 14:00 Hrs => 90% Parking Occupancy during survey hours (8:00 AM 5:00 PM) Overall in 2016, Zone A, B and C combined had similar occupancy to 2015, and 3-4% lower peak occupancy. Peak Time remained the same at 14:00. The 2014 user pay lots showed a 6 7% drop in average occupancy in The lots were slower to fill up in the mornings. In 2016 the weather played a greater role, as will be detailed later on in this report. Zone B showed greater average occupancy in 2016, up 6% in Week 1, and 5% in Week 2. Overall in 2016, there was at no time where the town of Banff experienced greater than 90% occupancy in Zones A, B and C combined, however Zone A did, though significantly lower than previous years.

9 Average Occupancy by Hour & Zone Time of Day 2014 Week Week Week Week Week Week 2 June 30 July 6 July 3-9 July 8-14 July 28 Aug 3 (Pay Parking) July 30 August 5 July 28 August 3 Zone A 8AM 34% 27% 24% 34% 24% 26% 9AM 38% 41% 38% 46% 38% 38% 10AM 49% 53% 52% 54% 54% 52% 11AM 66% 69% 66% 63% 69% 68% 12AM 74% 78% 80% 77% 79% 81% 1PM 79% 83% 82% 81% 88% 86% 2PM 85% 84% 82% 85% 90% 83% 3PM 84% 82% 77% 86% 85% 81% 4PM 79% 74% 75% 81% 79% 75% 5PM 73% 64% 66% 74% 70% 69% Average 66% 65% 64% 68% 68% 66% Zone B 8AM 18% 28% 26% 47% 27% 22% 9AM 31% 39% 37% 41% 35% 39% 10AM 37% 46% 48% 42% 41% 44% 11AM 44% 49% 58% 65% 54% 57% 12AM 62% 55% 62% 75% 60% 67% 1PM 60% 59% 68% 80% 66% 68% 2PM 67% 57% 69% 83% 67% 70% 3PM 60% 56% 65% 81% 62% 69% 4PM 58% 51% 61% 77% 55% 64% 5PM 53% 42% 50% 69% 47% 55% Average 48% 48% 54% 66% 51% 56% Zone C 8AM 51% 48% 51% 52% 45% 53% 9AM 50% 47% 52% 49% 51% 57% 10AM 54% 47% 51% 45% 49% 58% 11AM 59% 49% 53% 50% 57% 54% 12AM 63% 53% 54% 61% 55% 56% 1PM 64% 52% 60% 69% 58% 61% 2PM 70% 55% 63% 71% 62% 69% 3PM 57% 54% 62% 68% 60% 57% 4PM 62% 52% 59% 66% 57% 53% 5PM 66% 49% 53% 67% 50% 47% Average 59% 50% 56% 60% 54% 56% Zone ABC 8AM 37% 32% 31% 37% 30% 32% 9AM 40% 42% 41% 45% 40% 42% 10AM 46% 50% 50% 50% 49% 52% 11AM 59% 59% 61% 61% 62% 62% 12AM 68% 66% 69% 73% 69% 72% 1PM 71% 70% 74% 78% 76% 76% 2PM 78% 71% 75% 81% 77% 77% 3PM 73% 69% 70% 80% 73% 72% 4PM 70% 63% 68% 76% 68% 67% 5PM 66% 55% 59% 71% 60% 61% Average 61% 58% 60% 66% 60% 61% Average Occupancy by Hour and Zone This data shows us that compared to 2014 and 2015, Zone A experienced lower occupancy, filled up slower, and emptied out sooner. Zone B and C had higher occupancy than it did in 2015, filling up sooner, and emptying out slower, however overall numbers were still lower than For Zone A, B, and C combined, occupancy was higher than 2015, but still lower than that experienced in 2014.

10 AVERAGE Week (Jun 30 Jul 6) Week (Jul 3-9) Week (Jul 8 14) Week (Jul 28 Aug 3) Week (Jul 30-Aug 5) Week (Jul 28 Aug 3) Average Turnover TURNOVER Avg Turnover Vehicles/ day Avg Turnover Vehicles/ day Avg Turnover Vehicles/ day Avg Turnover Vehicles/ day Avg Turnover Vehicles /day Avg Turnover Vehicles /day Change in 2016 Paid Pilot Zone A On-Street Zone A Off-Street Zone A Total Zone B On-Street Zone B Off-Street Zone B Total Zone C Total Zone A, B, C Total Average Turnover by Zone Parking Turnover When evaluating each parking area or street we find the parking turnover varies between a maximum of 9.7 turns on 200 Lynx to a minimum of 0.57 turns on 0 Caribou which was closed for construction much of the time. Overall in 2016, average turnover was unchanged from 2015, though the areas utilized for parking changed. Zone A off-street parking was slightly down, while Zones A on-street parking and all of Zones B and C were slightly up. Average Turnover Overall, turnover was unchanged in 2016 when compared to All areas measured showed an increase in turnover except Zone A off-street parking when compared to the 2015 parking study, for an average increase of 1.6% in vehicle count. The town of Banff website indicated a 2.5% increase in town traffic over the parking study period Average Length of Stay AVERAGE LENGTH OF STAY (minutes) Week June 30 Jul 6 Week Jul 3-9 Week Jul 8-14 Week Jul28 Aug 3 (Pay Parking) Week Jul 30 Aug 5 Week Jul 28 Aug 3 Paid Pilot Zone A On-Street Zone A Off-Street Zone A Total Zone B On-Street Zone B Off-Street Zone B Total Zone C Total Zone A, B, C Total Average Length of Stay (minutes) The length of stay increased by 4.8% in week 1 and 11.5% in week 2 of The range of the average length of stay was 83 to 176 minutes in Week 1, 2016 and 80 to 169 minutes in Week 2, s of the Paid Pilot lots saw a sharp decrease of 8.4%, however all other areas saw an increase in length of stay versus 2015.

11 1.6.4 Type of Accurate determination of the type of user was extremely difficult as there were an estimated 30-40% of the vehicles that did not have any form of authorization displayed. This made it difficult to determine whether the vehicle was a resident s vehicle or a visitor s. In any event we formulated as best as possible and cautioned on the side of the visitor as opposed to the resident. To determine user type with the LPR we estimated based on the number of times the vehicle was spotted in the town. Vehicles found more than 2 days were considered non-visitor. USERS 2014 Visitor 2014 Non-Visitor 2015 Visitor 2015 Non-Visitor 2016 Visitor 2016 Non - Visitor Zone A 88% 12% 88% 13% 90% 10% Zone B 81% 19% 82% 18% 79% 21% Zone C 54% 46% 53% 47% 54% 46% There was not a substantial difference in visitor versus non-visitor in all 3 years studied. 1.7 Bear Street Parkade Comparison Bear Street Parkade Comparison Week Week Week Week Week Week Average Turnover Length of Stay (minutes) Average Occupancy 39% 55% 55% 51% 58% 58% Peak Occupancy 100% 100% 94% 100% 100% 90% Peak Time 3:00 pm 1:55 pm 1:00pm 3:00 pm 2:00 pm 1:00 pm Hours over 90% On the two weeks studied, it would appear that 2016 saw greater use overall, with higher turnover, and longer length of stay in both weeks. In particular, Week 2 of 2016 saw the greatest turnover and length of stay of the 6 weeks studied. Average occupancy was largely the same in In addition, the peak time of the parkade continued to trend earlier in the day, which goes against the trend of the town, which filled up later in the day overall in 2015 and This suggests that parkers preferred parking in the parkade again this year before choosing surface lots or street side parking.

12 1.8 Weather Comparison Temperature and Precipitation Averages Max Temp ( C) Average Temp ( C) Average Precipitation (mm) Total Precipitation (mm) # of Days with Precipitation Week Week Week Week Week Week All weather data has been provided by Environment Canada weather office data. This chart shows that 2016 was substantially cooler and wetter than the weeks studied in 2014 and maximum temperatures were 5.7 C cooler, average temperatures were 3.1 C cooler, and average precipitation was 2 millimeters greater per day than in the previous 2 years studied.

13 2. EXISTING & FUTURE PARKING REQUIREMENTS 2.1 Surplus or Deficiency From the collection of the parking study we are able to analyze the estimated parking surplus or deficiency that current exists and forecast future potential parking demands. 2.2 Peak Parking Demand Peak Parking Demand below shows the peak parking demand for the Banff. We have summarized this for the combined Zones A, B, and C. The peak demand is calculated by multiplying the peak occupancy by the total number of stalls. Peak Parking Demand for Zones A, B, C Date Stalls Peak Occupancy Peak Demand Week % 1343 Week % 1327 Week % 1296 Week % 1453 Week % 1374 Week % 1311 Peak Parking Demand 2.3 Practical Supply & Estimated Surplus/Deficiency In the parking industry a parking facility is generally considered to be at full capacity when it reaches an Occupancy level of 90% to 95%. By using this matrix we have calculated what is called, the Practical Supply or when a facility is at practically full capacity. We will use an occupancy level of 95% in order to ascertain the Practical Supply in order to estimate the effective parking space surplus or deficiency. The table below shows the practical parking supply for the combined Zones A, B, and C. Surplus/Deficiency is the difference between the actual peak demand and the practical supply available in an area, which in this case is Parking Surplus/Deficiency for Zones A, B, C Date Stalls Practical Supply Peak Demand Surplus / (Deficiency) Week Week Week Week Week Week Parking Surplus / Deficiency assuming Practical Supply of 95% Occupancy

14 From this information and observations of the parking market in Banff, we can see that there were sufficient parking spaces in 2016 for the weeks studied. In Zones A, B, and C combined, the parking surplus was measured at 205 in week 1, up 31 from the 174 surplus in 2015, and 190 in week 2, up 63 from the 127 surplus in Current & Future Parking Surplus/Shortfall using assumptions from Bunt & Associates 2012 Transportation Master Plan Below we will use the same assumptions used by Bunt & Associates 2012 Transportation Master Plan for a comparison. The 2012 Master Plan indicated that in 2012 there was a shortfall of 125 spaces, which would increase to 360 spaces by 2022, and 595 spaces by We have attached their figures below. Bunt & Associates 2012 Transportation Master Plan Estimate Future Parking Deficiency In this study, Bunt & Associates used the following assumptions to calculate the Practical Supply: 85% occupancy for on-street parking stalls and; 90% occupancy for off-street parking stalls. Using the same assumptions, we have calculated the following surplus/shortfall below for the two weeks measured in 2014, 2015 and Parking Surplus / Deficiency for Zone A, B, C Combined Practical Supply: 1373 stalls Week Peak Demand Surplus / Deficiency Week Week Week Week (100) Week (1) Week Surplus / Deficiency (Bunt & Associates Calculation)

15 3. IMPROVEMENTS & RECOMMENDATIONS After the evaluation of the parking data collected over the past 3 seasons, we would like to reiterate our recommendations for traffic flow improvements, parking operations, and general overall improvements. 3.1 Improvements to Parking Way-Finding It was noted in 2016 that several parking signs were added throughout the town, including temporary signs and electronic signage at Beaver-Buffalo surface lot. This appeared to be beneficial in assisting customers to preferred parking. Other locations that may benefit from this signage are: Central Park Bear Street 200 Surface Lot Beaver 200 Surface Lot There continues to be a lack of clearly posted regulations for surface lots and parkade structures. It seems that most visitors are expecting a pay machine to be present, and were frequently walking around looking for a pay meter, and asking our employees what the regulations were. It is recommended to increase font size, and add signage along light posts, walls and fences within the parking lots and garages to reduce confusion among visitors. 3.2 Solutions to Lower Demand for Parking Spaces With an increasing shortfall on future parking requirements we would like to discuss a few strategies that could be implemented to lower the demand for parking spaces. However, long term planning is necessary to be able to accommodate the ever increasing popularity and attraction to Banff from visitors across the world. Some of these strategies are discussed in the following sections: Implementation of Paid Parking Program We recommend a paid parking program during times of higher demand in zones that exceed or approach 90% occupancy at their peak. By so doing it will provide an opportunity to better manage traffic patterns by the redirection of all users that are reluctant to pay for parking to areas that are in lower demand or where parking is in abundance that would remain free of charge. Paid parking should be considered to be implemented in the following areas and streets: Off-street Parking o Bear 100 o Bear 200 Surface o Beaver Street 200 o Parks Canada o Central Park o Hospital RV Parking Zone A On-street o 100 Bear St

16 o 100 Beaver Street (West side) o 100 Lynx Street o 200 Bear Street o 200 Beaver Street (West side) o 200 Buffalo Street o 200 Caribou Street o 200 Lynx Street o 200 Wolf Street o 300 Caribou Street o 300 Wolf Street Zone B On-street o 0 Caribou Street o 0 Wolf Street o 100 Bow Avenue o 200 Elk Street o 300 Banff Avenue Zone C On-street o 400 Buffalo Street All other areas in Zone A, B and C, and the Bear Street Parkade should have time limits strictly enforced. This would assist to alleviate traffic congestion, improve overall pollution and air quality, and reduce driver frustration in the downtown of Banff Implementation of Free Licence Plate Entry Time Limit Parking Free parking could be offered for a defined period such as 30 minutes, 1 hour, or 2 hours when a ticket is pulled from the parking meter. INDIGO utilizes this type of solution in several locations in the Calgary area to better control time limit parking. If a parker does not take the time to register their plate, a citation is issued as well. This allows people to drive downtown to conduct their daily routines such as groceries, banking, etc, while still encouraging turnover of the parking lots. Residents wishing to park longer would still be subject to pay parking Combination of Free and Pay Parking A hybrid of the previous parking strategies can be implemented where the non-peak hours of the day can simply be free licence plate registration, but have the peak hours require pay parking. In addition, long term parking can still be discouraged with pay parking by offering an escalated parking fee structure. As an example 3 hours was identified as the ideal time for the majority of resident short term trips, and visitor stays. The first 3 hours could be $2 per hour as they were in 2014, followed by $4 or more per hour the next 2 hours, and $6 per hour after that, and so on. Actual values could be determined based on data collected through LPR technology, visitor, and resident feedback.

17 3.2.4 Increase of Transit & Other Modes of Transportation Increasing the appeal of transit is a method to assist in the lowering of the demand of parking spaces. With a very efficient transit system ridership should increase and mobility of people should improve. A major issue with the marketability and feasibility of transit is the competition of free parking. If parking remains free it is difficult to encourage people to take alternative modes of transportation, including transit as it is too ease for locals to just drive and park for free. Encouragement of even other modes of transpiration is also a good investment. An effective advertising campaign can assist in the encouragement of locals and visitors alike to consider alternative modes of transportation. Some of the alternatives that can be advertised may include some of the following: Bus or Transit Walking Bicycling Bike Sharing Car pooling Car Sharing Park and Walk With the advertising and encouragement of using alternative modes of transportation, consideration must be given to accommodate an increase in use of bicycles and pedestrians. There may need to be investments to improve pathway networks and bicycle stands in the downtown area Stricter Enforcement of Infractions to Time Limit Parking INDIGO experienced many parkers that neglected to adhere to the time limits on-street and offstreet. With a stricter no tolerance approach, especially in surface lots, and an increase in enforcement policing this would become a more effective method to control the inventory of parking by not permitting extended stay and encouraging turnover of parking spaces. If drivers continue to neglect the parking regulations towing and impounding of vehicles could be considered as a last resort Increase the Supply Build Parking Structure Another method to meet the demand of parking is to increase the supply. The easiest method is to build a parking structure or surface parking lot. Both of these options have a tremendous cost associated with them which would ultimately be passed down to the taxpayers in Banff. We also know that the existing Parkade, Bear Street Parkade is currently underutilized at all but the busiest times in the town, due to many users preferring surface and on- street parking to parking structures, though use is improving. Reducing the surface parking to make way for a parking structure is not only expensive but will be a less desired choice for drivers.

18 In any event, we will provide several locations or improvements that can increase the number of parking stalls by means of the construction of a parking structure. 1. Increase the number of parking spaces in the Bear Street Parkade by adding additional levels to the structure or removing the Monthly only section of the garage and opening it up for public parking. 2. Construction of new Parking Structure at Beaver 200 surface lot. This would be the preferred location as it has a closer proximity to downtown and provide an easier access of all vehicles entering the town from Banff Avenue. 3. Construction of new Parking Structure at Lynx & Wolf (Hospital Lot). This is not as desirable as the Beaver Street location but could provide a longer term solution, and provide greater parking for hospital users as well. 4. Park s Canada Surface Lot. Even though this is a small lot it could also be a good site for a parking structure so long as the first level and Banff Ave maintains a retail component. 5. The surface lots located at Bear 100, Bear 200, Central Park, and Beaver 100 at Caribou and Buffalo would just increase traffic congestion as directing traffic to areas where you want fewer vehicles not more so would avoid targeting these sites for parking structures. 3.3 Implementation of Resident Parking Permit Program One of the challenges as mentioned earlier is the identification of a resident as opposed to a commuter from Canmore, and a visitor. A portion of residents display a resident pass hanging from the rear view mirror. This is an excellent method to identify whether or not the vehicle belongs to a resident or not. However, there are many that do not display or have this pass displayed. With the implementation of a resident parking program the Town would be able to; offer discounts, free parking, or other benefits to all residents to residents, and; better control visitor parking in residential areas by implementing shorter time limits for all vehicles except residents of the block who could be permitted 72 hour stays as per the current by-law

19 APPENDIX

20 Parking Data Analysis - Town of Banff Data Collected for the Week of: June to July SPECIAL REPORTS Occupancy Stalls # Avg (%) Peak Peak (time) HRS => 90% Avg (minutes) Avg (times) Paid Pilot % 98% 3:00:00 PM Zone A On-Street % 99% 2:00:00 PM Zone A Off-Street % 97% 3:00:00 PM Zone A Total % 95% 2:00:00 PM Zone B On-Street % 100% 2:00:00 PM Zone B Off-Street 34 83% 100% 4:00:00 PM Zone B Total % 100% 2:00:00 PM Zone C Total % 100% 2:00:00 PM Zone A,B,C Total % 85% 2:00:00 PM OFF-STREET Occupancy Total Vehicles Stall Utilization Visitor (%) Resident (%) Bear St (100) 31 77% 103% 1:00:00 PM % 22% 79% 21% Bear St (200) 55 76% 100% 3:00:00 PM % 28% 75% 25% Beaver St (200) 78 58% 100% 3:00:00 PM % 20% 82% 18% Beaver/Buffalo 54 78% 100% 1:00:00 PM % 20% 80% 20% Beaver/Caribou 27 76% 100% 1:00:00 PM % 16% 86% 14% Parks Canada 31 66% 100% 3:00:00 PM % 22% 80% 20% Bear Street Parkade % 100% 3:00:00 PM Central Park 67 69% 100% 2:00:00 PM Data to be Analyzed on Alternative Report Hospital 34 83% 100% 4:00:00 PM OFF-STREET 593 OFF-STREET AVERAGE 59% 100% 2:20:00 PM % 22% 80% 20% ZONE A - On-Street Occupancy 100 BEAR ST 35 84% 100% 2:00:00 PM BEAVER ST 50 62% 100% 3:00:00 PM CARIBOU ST 8 72% 100% 3:00:00 PM LYNX ST 14 71% 100% 4:00:00 PM WOLF ST 13 76% 100% 3:00:00 PM BEAR ST 41 78% 100% 1:00:00 PM BEAVER ST 37 78% 100% 1:00:00 PM BUFFALO ST 4 72% 100% 11:00:00 AM CARIBOU ST 12 92% 100% 1:00:00 PM LYNX ST 20 81% 100% 1:00:00 PM WOLF ST 17 83% 100% 1:00:00 PM CARIBOU ST 12 70% 100% 2:00:00 PM WOLF ST 13 74% 100% 1:00:00 PM ZONE A - TOTALS 276 ZONE A - AVERAGE 76% 100% 1:41:32 PM ZONE B - On-Street Occupancy 0 CARIBOU ST 13 70% 100% 1:00:00 PM WOLF ST 16 #DIV/0! #DIV/0! #DIV/0! BOW AVE 41 39% 100% 1:00:00 PM BOW AVE 55 31% 91% 3:00:00 PM ELK ST 15 70% 100% 12:00:00 PM MOOSE ST 16 33% 69% 1:00:00 PM BANFF AVE 20 61% 100% 5:00:00 PM BEAVER ST 47 18% 66% 4:00:00 PM BOW AVE 15 32% 73% 12:00:00 PM MARTEN ST 62 38% 66% 5:00:00 PM MOOSE ST 12 65% 100% 1:00:00 PM SQUIRREL ST 39 62% 92% 5:00:00 PM ZONE B - TOTALS 351 ZONE B - AVERAGE #DIV/0! #DIV/0! #DIV/0! 8.83 #DIV/0! 2.16 ZONE C - On-Street Occupancy 100 MUSKRAT ST 56 57% 100% 2:00:00 PM OTTER ST 56 42% 86% 4:00:00 PM MUSKRAT ST 46 56% 100% 2:00:00 PM OTTER ST 30 61% 93% 5:00:00 PM MUSKRAT ST 31 67% 100% 2:00:00 PM OTTER ST 13 46% 100% 8:00:00 AM BEAVER ST 28 80% 100% 5:00:00 PM BUFFALO ST 7 63% 100% 3:00:00 PM CARIBOU ST 20 68% 100% 11:00:00 AM MOOSE ST 8 29% 63% 11:00:00 AM WOLF ST 17 77% 100% 2:00:00 PM BUFFALO ST 9 64% 100% 2:00:00 PM CARIBOU ST 10 47% 100% 2:00:00 PM MOOSE ST 16 30% 72% 12:00:00 PM WOLF ST 13 59% 100% 2:00:00 PM ZONE C - TOTALS 360 ZONE C - AVERAGE 57% 94% 1:40:00 PM ZONE D - On-Street Occupancy Stalls # Avg (%) Visitor (%) Resident (%) 0 MOOSE ST 15 53% 13% 88% 100 ELK ST 42 24% 10% 90% 100 MOOSE ST 18 56% 0% 100% 100 RABBIT ST 20 45% 22% 78% 200 RABBIT ST 17 59% 50% 50% 300 BIG HORN ST 30 73% 0% 100% 300 LYNX ST 43 63% 22% 78% 400(S) MARTEN ST 58 34% 5% 95% 400 SQUIRREL ST 70 40% 0% 100% ZONE D - TOTALS 298 ZONE D - AVERAGE 46% 11% 89% ZONE E - On-Street Occupancy Stalls # Avg (%) Visitor (%) Resident (%) 100 WOLVERINE ST 5 60% 0% 100% 200 GRIZZLY ST 20 55% 0% 100% 400(N) MARTEN ST 54 65% 9% 91% 400 MUSKRAT ST 84 54% 18% 82% 400 OTTER ST 10 50% 0% 100% 500 COUGAR ST % 15% 85% 500 MUSKRAT ST 34 41% 0% 100% 600 CARIBOU ST 14 21% 0% 100% 600 MOOSE ST 16 13% 0% 100% ZONE E - TOTALS 373 ZONE E - AVERAGE 44% 11% 89% Data to be Analyzed on Alternative Report Data to be Analyzed on Alternative Report Data to be Analyzed on Alternative Report Confidential Page 1 of 1 Summary Report July 6a

21 Parking Data Analysis - Town of Banff Data Collected for the Week of: July to August SPECIAL REPORTS Occupancy Stalls # Avg (%) Peak Peak (time) HRS => 90% Avg (minutes) Avg (times) Paid Pilot % 100% 2:00:00 PM Zone A On-Street % 100% 2:00:00 PM Zone A Off-Street % 100% 3:00:00 PM Zone A Total % 98% 3:00:00 PM Zone B On-Street % 89% 2:00:00 PM Zone B Off-Street 34 82% 100% 2:00:00 PM Zone B Total % 90% 2:00:00 PM Zone C Total % 86% 2:00:00 PM Zone A,B,C Total % 92% 2:00:00 PM OFF-STREET Occupancy Total Vehicles Stall Utilization Visitor (%) Resident (%) Bear St (100) 31 73% 106% 2:00:00 PM % 36% 72% 28% Bear St (200) 55 76% 100% 2:00:00 PM % 33% 78% 22% Beaver St (200) 78 65% 100% 2:00:00 PM % 34% 76% 24% Beaver/Buffalo 54 71% 100% 1:00:00 PM % 44% 70% 30% Beaver/Caribou 27 77% 100% 2:00:00 PM % 23% 88% 12% Parks Canada 31 75% 100% 3:00:00 PM % 26% 85% 15% Bear Street Parkade % 100% 3:00:00 PM Central Park 67 80% 100% 2:00:00 PM Data to be Analyzed on Alternative Report Hospital 34 82% 100% 2:00:00 PM OFF-STREET 593 OFF-STREET AVERAGE 66% 101% 2:06:40 PM % 34% 77% 23% ZONE A - On-Street Occupancy 100 BEAR ST 35 80% 100% 3:00:00 PM BEAVER ST 50 69% 100% 2:00:00 PM CARIBOU ST 8 82% 100% 3:00:00 PM LYNX ST 14 75% 100% 1:00:00 PM WOLF ST 13 72% 100% 11:00:00 AM BEAR ST 41 80% 100% 2:00:00 PM BEAVER ST 37 74% 100% 2:00:00 PM BUFFALO ST 4 76% 100% 1:00:00 PM CARIBOU ST 12 88% 100% 1:00:00 PM LYNX ST 20 74% 100% 4:00:00 PM WOLF ST 17 83% 100% 2:00:00 PM CARIBOU ST 12 77% 100% 3:00:00 PM WOLF ST 13 75% 100% 2:00:00 PM ZONE A - TOTALS 276 ZONE A - AVERAGE 76% 100% 1:55:23 PM ZONE B - On-Street Occupancy 0 CARIBOU ST 13 72% 100% 2:00:00 PM WOLF ST 16 86% 100% 1:00:00 PM BOW AVE 41 56% 100% 2:00:00 PM BOW AVE 55 41% 91% 2:00:00 PM ELK ST 15 78% 100% 3:00:00 PM MOOSE ST 16 63% 96% 3:00:00 PM BANFF AVE 20 66% 100% 2:00:00 PM BEAVER ST 47 66% 100% 4:00:00 PM BOW AVE 15 50% 90% 3:00:00 PM MARTEN ST 62 66% 100% 3:00:00 PM MOOSE ST 12 72% 100% 3:00:00 PM SQUIRREL ST 39 62% 97% 1:00:00 PM ZONE B - TOTALS 351 ZONE B - AVERAGE 62% 98% 2:25:00 PM ZONE C - On-Street Occupancy 100 MUSKRAT ST 56 64% 100% 1:00:00 PM OTTER ST 56 52% 80% 5:00:00 PM MUSKRAT ST 46 58% 97% 2:00:00 PM OTTER ST 30 56% 100% 6:00:00 PM MUSKRAT ST 31 57% 100% 4:00:00 PM OTTER ST 13 47% 77% 1:00:00 PM BEAVER ST 28 60% 96% 2:00:00 PM BUFFALO ST 7 81% 100% 3:00:00 PM CARIBOU ST 20 72% 100% 6:00:00 PM MOOSE ST 8 60% 100% 2:00:00 PM WOLF ST 17 60% 94% 2:00:00 PM BUFFALO ST 9 62% 100% 2:00:00 PM CARIBOU ST 10 63% 100% 3:00:00 PM MOOSE ST 16 57% 90% 4:00:00 PM WOLF ST 13 65% 100% 2:00:00 PM ZONE C - TOTALS 360 ZONE C - AVERAGE 59% 96% 3:00:00 PM ZONE D - On-Street Occupancy Stalls # Avg (%) Visitor (%) Resident (%) 0 MOOSE ST 15 38% 44% 56% 100 ELK ST 42 12% 45% 55% 100 MOOSE ST 18 47% 18% 82% 100 RABBIT ST 20 63% 24% 76% 200 RABBIT ST 17 51% 37% 63% 300 BIG HORN ST 30 48% 7% 93% 300 LYNX ST 43 52% 13% 87% 400(S) MARTEN ST 58 18% 16% 84% 400 SQUIRREL ST 70 21% 9% 91% ZONE D - TOTALS 298 ZONE D - AVERAGE 32% 18% 82% ZONE E - On-Street Occupancy Stalls # Avg (%) Visitor (%) Resident (%) 100 WOLVERINE ST 5 52% 19% 81% 200 GRIZZLY ST 20 44% 15% 85% 400(N) MARTEN ST 54 70% 15% 85% 400 MUSKRAT ST 84 60% 13% 87% 400 OTTER ST 10 48% 14% 86% 500 COUGAR ST % 18% 83% 600 CARIBOU ST 14 40% 18% 82% 600 MOOSE ST 16 16% 0% 100% ZONE E - TOTALS 373 ZONE E - AVERAGE 41% 15% 85% Data to be Analyzed on Alternative Report Data to be Analyzed on Alternative Report Data to be Analyzed on Alternative Report Confidential Page 1 of 1 Summary Report Template FINAL Aug 3

22 Parking Data Analysis - Town of Banff Data Collected for the Week of: July to July SPECIAL REPORTS Occupancy Stalls # Avg (%) Peak Peak (time) HRS => 90% Avg (minutes) Avg (times) Paid Pilot % 98% 14: Zone A On-Street % 91% 14: Zone A Off-Street % 98% 14: Zone A Total % 95% 14: Zone B On-Street % 67% 13: Zone B Off-Street 34 76% 100% 13: Zone B Total % 70% 13: Zone C Total % 78% 14: Zone A,B,C Total % 84% 14: OFF-STREET Occupancy Total Vehicles Stall Utilization Visitor (%) Resident (%) Bear St (100) 31 68% 100% 14: % 28% 78% 22% Bear St (200) 55 69% 100% 13: % 22% 76% 24% Beaver St (200) 78 66% 100% 12: % 21% 88% 12% Beaver/Buffalo 54 65% 100% 14: % 18% 80% 20% Beaver/Caribou 27 82% 100% 14: % 29% 93% 7% Parks Canada 31 74% 100% 14: % 24% 88% 12% Bear Street Parkade % 100% 13: % 23% 87% 13% Central Park 67 62% 100% 13: % 17% 88% 12% Hospital 34 76% 100% 13: % 8% 90% 10% OFF-STREET 593 OFF-STREET AVERAGE 63% 100% 13: % 21% 86% 14% ZONE A - On-Street Occupancy 100 BEAR ST 35 68% 100% 15: % 12% 100 BEAVER ST 50 62% 100% 14: % 26% 100 CARIBOU ST 8 76% 100% 12: % 9% 100 LYNX ST 14 65% 100% 13: % 4% 100 WOLF ST 13 45% 100% 15: % 6% 200 BEAR ST 41 63% 100% 11: % 7% 200 BEAVER ST 37 75% 100% 12: % 23% 200 BUFFALO ST 4 68% 100% 15: % 5% 200 CARIBOU ST 12 89% 100% 11: % 7% 200 LYNX ST 20 80% 100% 12: % 6% 200 WOLF ST 17 82% 100% 13: % 6% 300 CARIBOU ST 12 71% 100% 12: % 12% 300 WOLF ST 13 79% 100% 13: % 4% ZONE A - TOTALS 276 ZONE A - AVERAGE 69% 100% 12: % 13% ZONE B - On-Street Occupancy 0 CARIBOU ST 13 58% 100% 14: % 10% 0 WOLF ST 16 74% 100% 12: % 7% 100 BOW AVE 41 64% 100% 14: % 0% 200 BOW AVE 55 27% 82% 14: % 0% 200 ELK ST 15 71% 100% 13: % 43% 200 MOOSE ST 16 21% 69% 9: % 26% 300 BANFF AVE 20 71% 100% 15: % 18% 300 BEAVER ST 47 28% 85% 12: % 27% 300 BOW AVE 15 30% 67% 13: % 4% 300 MARTEN ST 62 34% 63% 15: % 16% 300 MOOSE ST 12 59% 100% 13: % 52% 300 SQUIRREL ST 39 65% 100% 14: % 49% ZONE B - TOTALS 351 ZONE B - AVERAGE 46% 89% 13: % 19% ZONE C - On-Street Occupancy 100 MUSKRAT ST 56 59% 100% 12: % 49% 100 OTTER ST 56 35% 86% 8: % 61% 200 MUSKRAT ST 46 46% 98% 14: % 47% 200 OTTER ST 30 44% 100% 8: % 58% 300 MUSKRAT ST 31 42% 71% 15: % 45% 300 OTTER ST 13 26% 54% 17: % 59% 400 BEAVER ST 28 67% 100% 17: % 62% 400 BUFFALO ST 7 67% 100% 10: % 38% 400 CARIBOU ST 20 79% 100% 13: % 34% 400 MOOSE ST 8 57% 100% 13: % 37% 400 WOLF ST 17 72% 100% 13: % 24% 500 BUFFALO ST 9 67% 100% 11: % 40% 500 CARIBOU ST 10 53% 100% 13: % 24% 500 MOOSE ST 16 20% 44% 12: % 40% 500 WOLF ST 13 57% 100% 13: % 16% ZONE C - TOTALS 360 ZONE C - AVERAGE 50% 90% 12: % 47% Confidential Page 1 of 1 Banff Report July 3-9, 2015

23 Parking Data Analysis - Town of Banff Data Collected for the Week of: July to August SPECIAL REPORTS Occupancy Stalls # Avg (%) Peak Peak (time) HRS => 90% Avg (minutes) Avg (times) Paid Pilot % 100% 14: Zone A On-Street % 92% 13: Zone A Off-Street % 99% 14: Zone A Total % 95% 14: Zone B On-Street % 76% 14: Zone B Off-Street 34 77% 100% 13: Zone B Total % 76% 14: Zone C Total % 82% 14: Zone A,B,C Total % 87% 14: OFF-STREET Occupancy Total Vehicles Stall Utilization Visitor (%) Resident (%) Bear St (100) 31 74% 100% 14: % 9% 82% 18% Bear St (200) 55 73% 100% 14: % 12% 82% 18% Beaver St (200) 78 66% 100% 14: % 9% 94% 6% Beaver/Buffalo 54 67% 100% 14: % 7% 91% 9% Beaver/Caribou 27 77% 100% 14: % 3% 91% 9% Parks Canada 31 74% 100% 13: % 10% 91% 9% Bear Street Parkade % 100% 14: % 23% 87% 13% Central Park 67 75% 100% 14: % 17% 88% 12% Hospital 34 77% 100% 13: % 8% 90% 10% OFF-STREET 593 OFF-STREET AVERAGE 67% 100% 13: % 14% 88% 12% ZONE A - On-Street Occupancy 100 BEAR ST 35 61% 100% 14: % 4% 100 BEAVER ST 50 66% 100% 15: % 24% 100 CARIBOU ST 8 80% 100% 13: % 16% 100 LYNX ST 14 71% 100% 13: % 2% 100 WOLF ST 13 57% 92% 15: % 1% 200 BEAR ST 41 72% 100% 13: % 8% 200 BEAVER ST 37 73% 100% 14: % 22% 200 BUFFALO ST 4 67% 100% 12: % 5% 200 CARIBOU ST 12 90% 100% 9: % 9% 200 LYNX ST 20 77% 100% 13: % 4% 200 WOLF ST 17 83% 100% 14: % 7% 300 CARIBOU ST 12 68% 100% 11: % 7% 300 WOLF ST 13 79% 100% 13: % 4% ZONE A - TOTALS 276 ZONE A - AVERAGE 71% 99% 13: % 11% ZONE B - On-Street Occupancy 0 CARIBOU ST 13 62% 100% 15: % 14% 0 WOLF ST 16 83% 100% 12: % 5% 100 BOW AVE 41 68% 100% 12: % 7% 200 BOW AVE 55 38% 93% 14: % 0% 200 ELK ST 15 77% 100% 11: % 41% 200 MOOSE ST 16 24% 56% 9: % 17% 300 BANFF AVE 20 72% 100% 13: % 18% 300 BEAVER ST 47 30% 57% 13: % 29% 300 BOW AVE 15 36% 73% 14: % 3% 300 MARTEN ST 62 32% 77% 14: % 16% 300 MOOSE ST 12 61% 100% 13: % 36% 300 SQUIRREL ST 39 65% 100% 14: % 44% ZONE B - TOTALS 351 ZONE B - AVERAGE 49% 88% 12: % 18% ZONE C - On-Street Occupancy 100 MUSKRAT ST 56 71% 100% 13: % 54% 100 OTTER ST 56 38% 78% 12: % 55% 200 MUSKRAT ST 46 46% 93% 14: % 45% 200 OTTER ST 30 46% 90% 9: % 56% 300 MUSKRAT ST 31 43% 68% 14: % 45% 300 OTTER ST 13 29% 85% 9: % 53% 400 BEAVER ST 28 76% 100% 13: % 60% 400 BUFFALO ST 7 78% 100% 14: % 34% 400 CARIBOU ST 20 79% 100% 14: % 38% 400 MOOSE ST 8 63% 100% 14: % 26% 400 WOLF ST 17 69% 100% 15: % 23% 500 BUFFALO ST 9 71% 100% 12: % 36% 500 CARIBOU ST 10 56% 100% 15: % 28% 500 MOOSE ST 16 13% 38% 12: % 15% 500 WOLF ST 13 64% 100% 12: % 26% ZONE C - TOTALS 360 ZONE C - AVERAGE 54% 90% 12: % 46% Confidential Page 1 of 1 Banff Report July 30-Aug 5, 2015

24 Parking Data Analysis - Town of Banff Data Collected for the Week of: July to July SPECIAL REPORTS Occupancy Stalls # Avg (%) Peak Peak (time) HRS => 90% Avg (minutes) Avg (times) Notes: Paid Pilot % 93% 13: Zone A On-Street % 91% 14: Zone A Off-Street % 92% 13: Zone A Total % 89% 13: Zone B On-Street % 78% 14: Zone B Off-Street 34 76% 100% 14: Zone B Total % 80% 14: Zone C Total % 77% 14: Zone A,B,C Total % 82% 14: Power Outage experienced on Monday OFF-STREET Occupancy Total Vehicles Stall Utilization Visitor (%) Resident (%) Bear St (100) 31 68% 100% 14: % 10% 79% 21% Bear St (200) 55 78% 100% 13: % 13% 78% 22% Beaver St (200) 78 63% 100% 12: % 8% 85% 15% Beaver/Buffalo 54 53% 92% 13: % 6% 87% 13% Beaver/Caribou 27 63% 100% 11: % 7% 82% 18% Parks Canada 31 64% 100% 14: % 9% 83% 17% Bear Street Parkade % 94% 13: % 9% 71% 29% Central Park 67 71% 100% 12: % 5% 85% 15% Hospital 34 76% 100% 14: % 8% 90% 10% OFF-STREET 593 OFF-STREET AVERAGE 62% 98% 12: % 8% 79% 21% ZONE A - On-Street Occupancy 100 BEAR ST 35 72% 100% 12: % 8% 100 BEAVER ST 50 65% 98% 14: % 27% 100 CARIBOU ST 8 52% 100% 13: % 1% 100 LYNX ST 14 80% 100% 12: % 3% 100 WOLF ST 13 42% 92% 10: % 3% 200 BEAR ST 41 72% 100% 10: % 9% 200 BEAVER ST 37 76% 100% 12: % 19% 200 BUFFALO ST 4 70% 100% 11: % 1% 200 CARIBOU ST 12 86% 100% 12: % 9% 200 LYNX ST 20 82% 100% 12: % 7% 200 WOLF ST 17 80% 100% 11: % 7% 300 CARIBOU ST 12 57% 100% 12: % 10% 300 WOLF ST 13 81% 100% 11: % 7% ZONE A - TOTALS 276 ZONE A - AVERAGE 71% 99% 11: % 12% ZONE B - On-Street Occupancy 0 CARIBOU ST 13 26% 85% 12: % 2% 0 WOLF ST 16 75% 100% 14: % 8% 100 BOW AVE 41 72% 100% 14: % 12% 200 BOW AVE 55 42% 84% 14: % 10% 200 ELK ST 15 85% 100% 11: % 41% 200 MOOSE ST 16 44% 88% 11: % 32% 300 BANFF AVE 20 65% 100% 13: % 11% 300 BEAVER ST 47 37% 77% 14: % 26% 300 BOW AVE 15 35% 87% 13: % 5% 300 MARTEN ST 62 37% 65% 11: % 16% 300 MOOSE ST 12 62% 100% 9: % 54% 300 SQUIRREL ST 39 66% 100% 11: % 45% ZONE B - TOTALS 351 ZONE B - AVERAGE 51% 91% 12: % 21% ZONE C - On-Street Occupancy 100 MUSKRAT ST 56 67% 100% 15: % 49% 100 OTTER ST 56 39% 61% 8: % 59% 200 MUSKRAT ST 46 56% 91% 14: % 38% 200 OTTER ST 30 51% 100% 8: % 50% 300 MUSKRAT ST 31 42% 74% 14: % 41% 300 OTTER ST 13 37% 85% 16: % 63% 400 BEAVER ST 28 65% 96% 12: % 62% 400 BUFFALO ST 7 76% 100% 14: % 31% 400 CARIBOU ST 20 74% 100% 13: % 37% 400 MOOSE ST 8 87% 100% 8: % 44% 400 WOLF ST 17 72% 100% 14: % 29% 500 BUFFALO ST 9 70% 100% 14: % 26% 500 CARIBOU ST 10 57% 100% 14: % 22% 500 MOOSE ST 16 30% 56% 9: % 54% 500 WOLF ST 13 63% 100% 14: % 20% ZONE C - TOTALS 360 ZONE C - AVERAGE 56% 91% 12: % 46% Confidential Page 1 of 60 Banff Report July