Melbourne Jos van Ommeren, Michael McIvor 21 January, 2019 - - PowerPoint PPT Presentation

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Melbourne Jos van Ommeren, Michael McIvor 21 January, 2019 - - PowerPoint PPT Presentation

The marginal external cost of street parking, optimal pricing and supply: evidence from Melbourne Jos van Ommeren, Michael McIvor 21 January, 2019 Barcelona 1 1. Introduction parking - On-street parking prices receives a lot of attention


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The marginal external cost of street parking,

  • ptimal pricing and supply: evidence from

Melbourne Jos van Ommeren, Michael McIvor

21 January, 2019 Barcelona

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  • 1. Introduction

parking

  • On-street parking prices receives a lot of

attention in economic theory

  • We introduce a method to calculate the

marginal external cost of parking, i.e. the cruising time costs imposed on other drivers by increasing a parker’s duration

  • The marginal external cost of parking is

important to examine for:

  • The welfare effects of current parking

policy (parking price /time limits)

  • The welfare effects of changing parking

supply

  • We apply our method to Melbourne

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Theory: optimal pricing policy

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Occupancy Hourly price (+ restrictions) Demand curve (occupancy at that price) 100% 0% Marginal external cost (extra time/congestion/frustration caused by someone parking) Economically

  • ptimal point

Cruising problems Underutilisation problems

  • One block, at a particular point in time
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  • 2. A model of parking search

parking

  • We aim to derive the marginal external cruising time

when one motorist decides to park longer.

  • Assume that all motorists search in one block

following a Poisson process, at time

  • 𝐡 𝑒 = the number of arriving motorists who search

in a block

  • N = number of parking bays within a block
  • v(t) = vacancy rate within the block
  • r = sampling rate of bays
  • 𝐨(𝑒)= number of parked motorists
  • π‘“π‘¦π‘’π‘“π‘ π‘œπ‘π‘š costs = 𝐡 𝑒

𝐬 𝑀 𝑒

; 𝑀 𝑒 = 1- 𝐨 𝑒 /N /N

  • C(t) = π‘›π‘π‘ π‘•π‘—π‘œπ‘π‘š π‘“π‘¦π‘’π‘“π‘ π‘œπ‘π‘š π‘‘π‘“π‘π‘ π‘‘β„Ž 𝑒𝑗𝑛𝑓 costs
  • = 𝝐 π‘“π‘¦π‘’π‘“π‘ π‘œπ‘π‘š costs / 𝝐 𝐨 𝑒
  • C(t) =

𝐡 𝑒 𝑠𝑂𝑀 𝑒 2 (Zakharenko, 2016)

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  • 2. Model

parking

  • We then make assumptions on value of time

and search strategy

  • This provides marginal external cost of parking
  • One can then examine whether these costs

differ from the price of parking

  • This is important because in the (constrained)
  • ptimum, these costs equal the price
  • One can also calculate now the marginal benefit
  • f increasing supply, because the vacancy rate

will go up

  • The marginal benefit of increasing supply on
  • ne day = the sum of all reductions in search

cost during the day

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  • 2. Model

parking

  • We allow for walking time to the final

destination

  • We assume those arriving = number of

searchers

  • We allow for motorists searching in a straight

line before they reach the final destination (from an optimally-chosen distance), and searching in a circle on the block after the final destination.

  • Therefore requires a minimum block size

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  • 2. Model
  • As an aside, we show a well-known self

financing result

  • Given optimal policy, the revenue of paid

parking = total capital cost on parking

  • This is useful to say something about whether

policy is too strict or too relaxed

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  • 3. Data and Context

parking

  • We examine parking policy in Melbourne city

centre for March 2014

  • Maximum parking limits (usually one hour)

most of the time

  • Parking prices far below off-street parking
  • Sunday parking is free
  • Evening parking is free without parking limits
  • Sensor data on arrival rates, occupancy rates
  • We only have observations when parking

limits are in place (typically 07:30–20:30)

  • We focus on about 200 blocks, with a

minimum of 10 parking bays

  • We calculate MEC for 30 min. intervals per block

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  • 3. Data and Context

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  • 4. Main results
  • Cruising times tend to be small
  • Usually less than two minutes
  • This is due to low occupancy :
  • But, when occupancy rates are high, search

time is substantial

  • In 97 percent of the observations, the marginal

external cost of parking are small and less than the parking price

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Cumulative search time

parking

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Distribution of search time, for high occupancy rates

parking

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  • 4. Main results
  • Marginal external cost of parking also depends
  • n the arrival rate (not just occupancy)
  • In 97 percent of the observations, the marginal

external cost of parking is small and less than the parking price

  • Due to very restrictive time limits: welfare

losses because of that.

  • When the occupancy rate is above 90%,

marginal external costs tends to be substantial

  • The parking price is too low: welfare losses

because of that

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Marginal external cost of parking

parking

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Main results

  • Marginal external cost of parking explode

Friday and Saturday evenings just before parking becomes free and time limit restrictions do not apply

  • On Sunday,from 11 to 15 o’clock, marginal

external parking cost are substantial (parking is free!)

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Marginal external cost of parking

parking

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Main results

  • We calculated the benefits of increasing

marginal supply

  • In the suburbs around the central city, the

benefits are much less than the capital (opportunity costs), about $300 per month (derived from the private rental market)

  • Conditional on current policy (of low prices and

harsh time limits), it seems a good idea to reduce supply.

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Marginal external cost

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Marginal external cost

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Marginal external cost

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Conclusion

  • We introduce a method to calculate the

marginal external cost of parking.

  • Using data that many parking authorities

already have

  • We examine for Melbourne
  • The welfare effects of current parking

policy (parking price /time limits)

  • The welfare effects of changing parking

supply

  • During most of the weekdays, time-limit

restrictions reduce welfare (i.e., the

  • ccupancy rate is too low)
  • High costs just before time limits expire
  • On Sunday, substantial marginal external

cost

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