Do parking requirements significantly increase the area dedicated to parking? A test of the effect of parking requirements values in Los Angeles County

Minimum parking requirements (MPRs) are the norm for urban and suburban development in the United States (Davidson et al., 2002). The justification for MPRs is that overflow parking will occupy nearby street or off-street parking. Shoup (1999a) and Willson (1995) provide cases where there is reason to believe that parking space requirements have forced parcel developers to place more parking than they would in the absence of parking requirements. However, to our knowledge the existing literature does not test the effect of parking minimums on the amount of lot space devoted to parking beyond a few case studies. This paper tests the hypothesis that MPRs bind for most land uses using data on suburban office, commercial, industrial and retail property sales from Los Angeles County using both direct and indirect approaches. Our indirect test of the effects of parking requirements is similar to the one used by Glaeser and Gyourko (2003). A simple theoretical model shows that the marginal value of additional parking to the sale price of a building should be equal to the cost of land plus the cost of parking construction. We estimate the marginal values of parking and lot area with spatial methods using a large data set from the Los Angeles area non-residential property sales and find that for most of the property types the marginal value of parking is significantly below that of the parcel area. In addition, we directly examine required and supplied parking and find that on average parking supplied is quite close to the required amount.     

A meta-model of vehicle ownership choice parameters

This paper builds a meta-model of vehicle ownership choice parameters to predict how their values might vary across extended periods as a function of macroeconomic variables. Multinomial logit models of vehicle ownership are estimated from repeated cross-sectional data between 1971 and 1996 for large urban centers in Ontario. Three specifications are tested: a varying constants (VC) model where the alternative specific constants are allowed to vary each year; a varying scales (VS) model where the scale parameter varies instead; and a varying scales and constants model. The estimated parameters are then regressed on macroeconomic variables (e.g., employment rate, gas prices, etc.). The regressions yield good fit and statistically significant results, suggesting that changes in the macroeconomic environment influence household decision making over time, and that macroeconomic information could potentially help predict how model parameters evolve. This implies that the common assumption of holding parameters constant across forecast horizons could potentially be relaxed. Furthermore, using a separate validation dataset, the predictive power of the VC and VS models outperform conventional approaches providing further evidence that pooling data from multiple periods could also produce more robust models.     

Thermal exchanges at air-water interfacies and reproduction of temperature vertical profiles in water columns

For a 3-D eutrophication-diffusion macromodel of the central part of the Venice Lagoon, air-water heat fluxes are computed interpolating, through Fourier series expansion, meteoclimatic variables averaged over a thirty years survey. Also reproduced with the same interpolation methods, is the daily fluctuation of incident light as well as the annual variation of the photoperiod.With an interative procedure temperature values, to be assigned at each grid's point and corresponding to each hour of a reference year, are computed also accounting for the thermal inertia of water columns of varying depths. By statistical examination of temperature vertical profiles, depth varying diffusivities are also estimated, which enables, without assumption of an instantaneous mixing, the reproduction of heat diffusion from the surface to the bottom water cells.Procedures, preliminary refined and verified for a one-dimensional vertical system input, are next implemented on a three-dimensional submodel of reduced size provided of “open boundaries”: this last submodel, under a continuous input of energy and of matter is seen to attain a steady states as well as to be capable of simulating regime conditions. A further validation is performed, on a submodel of 43 × 47 × 20 cells, encompassing a limited portion of the macromodel and presenting the actual lagoon bathymetry.Macromodel's seasonalisation so achieved, enables for a more correct simulation of the periodical behaviour of light and of temperature, forcing functions governing the eutrophication phenomena.     

Temporal variations of water flow between the Venetian lagoon and the open sea

Long-term measurements of the water flow at three Venice Lagoon inlets with the bottom-mounted ADCPs show that the main part of the variance (>90%) is associated with the tidal variability. Semi-diurnal constituents (mainly M2 and S2) are responsible for about 80% of the flow variance. Phase-lag between the axial current and sea-level is on the order of 2 h for M2 and 4 h for the K1, the maximum inflow leading the sea-level maximum. Phase-difference of tidal flows between inlets shows that Chioggia leads both Malamocco and Lido, suggesting that tidal signal progresses northward, thus in the opposite direction of both the semi-diurnal and diurnal tidal signals in the open Adriatic currents. The sea-level slope between the open sea and the lagoon interior controls the inlet flow, which is due to the time lag being constant for all tidal constituents. It was shown that tidal oscillations at Punta Salute (lagoon interior) lag those in Lido by about 45 min. The pressure gradient due to the sea-level slope generates the flow acceleration. Only for large current speeds (>0.5 m/s), the bottom friction term becomes equally important as the local acceleration and the horizontal pressure gradient terms. Wind effects manifest as a remote forcing through Adriatic seiches at semi-diurnal and diurnal scales, and as a local forcing at very long time scales on the order of a month. This latter mechanism is limited to a winter period (November–January). Seiches are present over the entire year, being however, more energetic and frequent during autumn and winter.