Influence of Parking on Location and Mode Choice: A Stated-Choice Survey (original) (raw)
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Choice of parking: Stated preference approach
Transportation, 1991
Over recent years, parking policy has become a key element of transport policy in many countries. Parking policy measures can affect many different dimensions of travel behaviour but are likely to be most significant in terms of travellers' choice of parking type and location. This dimension of travel choice has, to date, received comparatively little attention, yet is of vital importance if we are to properly understand and predict the effects of parking policy measures.
A review of the impact of parking policy measures on travel demand
Transportation Planning and Technology, 1989
This paper reviews the empirical evidence relating to the impact of parking policy measures on the demand for parking and for travel. Disaggregate modal choice models, disaggregate parking location models and site-speci c studies of parking behaviour are examined. With regard to modal choice models, it is concluded that few studies deal adequately with parking factors, but that there is some support for the view that parking policy measures are a relatively important in uence on modal choice. When parking location models are examined parking policy variables are shown to have a substantial impact on choice of parking location. With regard to site-speci c studies, the paper concludes that there is a great variation in the parking price elasticities quoted, which re ects partly the methodological problems associated with such studies. Suggestions to improve model speci cation are made.
Framework and Model for Parking Decisions
The development of such models commonly includes administration of surveys to collect data on individual travel preferences. The data collected are then used to identify the influential variables that will be incorporated into the model. Different parking choice models have been proposed in the literature. They can be classified with respect to the modeling approach, decision type, number of decisions modeled, and the data collection method [i.e., stated preference (SP) versus revealed preference (RP)]. Most parking models address mode-of-travel choices and parking characteristics (6-8) rather than the choice between parking alternatives. In addition, most research has considered parking choice as a stand-alone decision rather than as a component in a broader behavioral framework. The following paragraphs summarize selected parking type choice models that have been studied.
Modelling parking choices considering user heterogeneity
Transportation Research Part A: Policy and Practice, 2014
We examine car driver's behaviour when choosing a parking place; the alternatives available are free on-street parking, paid on-street parking and parking in an underground multi-storey car park. A mixed logit model, allowing for correlation between random taste parameters and estimated using stated choice data, is used to infer values of time, both when looking for a parking space and for accessing the final destination. Apart from the cost of parking, we found that vehicle age was a key variable when choosing where to park in Spain. We also found that the perception of the parking charge was fairly heterogeneous, depending both on the drivers' income levels and whether or not they were local residents. Our results can be generalised for personalised policy making related with parking demand management.
An Analysis of Discrete Stated Responses to Parking Pricing Based Transportation Control Measures
The realization that one can no longer build out of congestion while preserving the urban environ- ment has led to an increasing interest in the potential application of transportation control mea- sures (TCM) for curbing travel demand. One such TCM that is being considered by transportation planning agencies around the country is parking pricing where parking prices and/or taxes are imposed in an attempt to encourage travelers (and more specifically, commuters) to consider alter- native modes of transportation. However, very little data and information is available on the poten- tial impacts of parking pricing based transportation control measures and the secondary and tertiary impacts in people's travel pattern that they may bring about. As such, there is a need in the transportation planning community for data on how parking pricing based TCM's may impact travel behavior and commuting patterns. This presentation is aimed at filling this critical planning need by providing...
Ingenieria y Universidad, 2020
Parking around university campuses has become a major issue in recent decades because of nearby congestion impacts. Objective: To determine the factors influencing parking lot selection, which is crucial to propose adequate parking demand management strategies. Materials and Methods: We evaluate different attributes using a best-worst scaling survey applied at Universidad de la Costa (CUC), Colombia. Using discrete choice modeling techniques, we identified the extent to which selected infrastructure attributes influence parking behavior. Results: Security and cover (roof) availability are the most relevant attributes of parking choice in the case study. Conclusions: Based on our results, we strongly recommend implementing a dynamic pricing rate, roof pricing, removing “reserved spots” and investing in security.