Where to park? A behavioural comparison of bus Park and Ride and city centre car park usage in Bath,UK

Integrating car parking facilities with public transport in Park and Ride (P&R) facilities has the potential to shorten car trips, contributing to more sustainable mobility. There is an ongoing debate about the actual effects of P&R on the transport system at the subregional level. A key issue is the relative attractiveness of city centre car parks (CCCP), P&R and public transport. The paper presents the findings of a comparative empirical case-study based on a field survey of CCCP and P&R users conducted in the city of Bath, UK. Spatial and statistical analyses are applied. Radial distance to parking, availability of P&R sites in the direction of travel, gender, age, income and party-size are found to be important factors in a binary logistic regression model, explaining the revealed-preference of parking type. Stated analysis of foregone parking alternatives suggests more use of public transport and walking/cycling would likely occur without first-best parking alternatives. The policy implications and possible planning alternatives to P&R at the urban fringes for achieving greater sustainability goals are also discussed.     

Parking futures: Preparing European cities for the advent of automated vehicles

The introduction of automated vehicles (AVs) is a virtual certainty. Much less certain is the timing of their introduction and how rapid the transition to full automation will be. Various governments are already working to facilitate this shift by, for example, amending and elaborating regulations to support the introduction of AVs, or supporting tests in different urban environments. Meanwhile, urban and regional planners and decision-makers are still grappling with the uncertainties and differing opinions about the possible impacts of AVs on land-use changes and location choices, particularly in relation to the space available for vehicles, both moving (i.e. roadspace) and stationary (i.e. parking space). This paper uses a backcasting approach to identify critical policy decisions and measures to be taken before the implementation of AVs, so as to achieve a more desirable, attractive and high-quality city. These policy measures primarily relate to the reuse and reallocation of parking and roadspace. Two strategic decisions are found to be essential to meet the major goals of sustainable and liveable cities: a clear commitment to a shared mobility and the delimitation of Core Attractive Mixed-use Spaces (CAMS). In order to deliver these desired urbanisation patterns, a set of three policy paths, involving eight policy packages, is proposed for the next 20–30 years. This article provides urban and regional decision-makers with examples of interventions that can be implemented beyond and during the implementation of AVs.     

The political economy of parking charges in “first” and “second-best” worlds

The paper explores ways in which economists view parking charges within the context of policy formulation. Recent trends in economic analysis have taken more note of the institutional structure in which decisions are made; institutions embracing both formal structures such as laws but also the de facto ways in which actual outcomes emerge. While this distinction is often applied to final consumers, it also has relevance for those setting and enforcing micro economic policies such as parking policies. Taking a neo-classical economic approach would lead parking policies in one direction, but allowing for transactions costs, hysteresis, second-best factors, game-playing, etc. as well as normative concerns over equity of various kinds, all of which reflect institutional structures, can lead into a variety of others. The aim is to explain why current parking policies deviate from classical economic ideals.     

Parking behaviour: Bundled parking and travel behavior in American cities

We investigate the relationship between bundled residential parking and travel behavior, with a particular focus on use of public transportation, and controlling for vehicle ownership. When the cost of parking is bundled into the price of housing, the time and stress of finding parking near home falls. These lower costs may lead households with bundled parking to drive more and use transit less than households without parking, even if both households own vehicles. To date this idea has been difficult to examine empirically. In this article we test this prediction using the public transportation module of the 2013 American Housing Survey. We confirm the association between bundled parking and travel. Households with bundled parking use transit less, spend more on gasoline, and—when they do take transit—are more likely to drive from their homes to the transit stop.     

Parking futures: An international review of trends and speculation

The explosion of low-cost, on-demand taxi services and the anticipation of an autonomous vehicle future has made transportation the center of debate and discussion for the first time since the massive expansion of the US highway system in the 1950s. Yet the realm of parking boasts innovations and developments far beyond the high-profile issues of TNCs and AVs. Rather, innovation in parking is happening in many cases quietly on a wide variety of fronts, including technology, public policy, and design. This paper serves an overview of emerging trends in parking, primarily within the US context. We identify and outline five developments and the pertinent technologies helping to catalyze change: unbundling parking costs, reducing parking minimums, pricing and allocating curb space dynamically, designing hybrid parking structures, and preparing for the autonomous era and “mobility as a service.” This paper presents these trends with illustrative examples highlighting current practices, governance challenges, and possible future scenarios.     

Temporal variance of revealed preference on-street parking price elasticity

This paper utilises revealed-preference parking trend data from parking meters ex ante and ex post of a general 50% price increase in the hourly cost of on-street parking to estimate the on-street parking price elasticity of demand in an area of Dublin, Ireland. Estimates are presented for the aggregate price elasticity of demand level and individual estimates for specific time periods and days of the week. In terms of reduced parking frequency, the average price elasticity of demand reported is −0.29. Daily average estimates are consistent, with one notable exception being Thursday, a ‘late night shopping’ day for which a lower price sensitivity is reported. Morning periods are also shown to be more responsive than other time periods in the test area, indicating some potential for influencing morning inbound peak traffic levels.     

铁路客运站配套停车场泊位数量计算模型

铁路客运站配套停车场主要用于停靠接、送旅客的非营运车辆和出租车与其他社会车辆。在考虑接旅客车辆在停车场停留时间、旅客列车到达时刻、乘坐接旅客车辆人数等因素的基础上,构建接旅客车辆所需泊位数计算模型,采用系数法构建送旅客车辆和其他社会车辆所需泊位数计算模型,形成停车场泊位数量计算模型。以计算石家庄客运站停车场所需泊位数量为例,通过模型应用验证,分析模型的有效性。     

An examination of the effects of ride-hailing services on airport parking demand

The emergence of ride-hailing services offered by the Transportation Network Companies (TNCs) globally are substantially affecting how we travel by car, and as such, use parking facilities. Airport parking, which is a substantial source of revenue for the airports, is no different and anecdotal evidence suggest a reduction in parking revenue in airports in recent years as a result of the popularity of ride-hailing services. This research investigates the effects of the entry of ride-hailing services on airport parking patronage using three large airports (John F Kennedy International, Newark Liberty International and LaGuardia) in the US as a case study. Intervention analysis technique was used on time-series monthly parking data at these airports, controlling for passenger numbers. Results indicate there was a statistically significant reduction in the numbers of cars parked at all three airports since the introduction of ride-hailing services, confirming the anecdotal evidence. Findings have implications not only for airport business and revenue models, but also for wider effects of ride-hailing and automation.     

Charging parking by the minute: What to expect from this parking pricing policy?

In the days when parking had to be charged by a person or a mechanical device, it made sense to charge by blocks of time. However, these days, computers are capable of charging by the minute (or second if an operator so chooses), so technically there is no need for block pricing and the pricing strategy can be a policy decision. Operators, in one hand, are unaware of the impact of this measure on parking turnover and may believe that daily income will be affected. Businesses, on the other hand, will want to know if the measure has an effect on whether or not trips motivated by non-social activities will be carried out, given that they are spontaneous and are directly related to a client's perception. Finally, practical implications in terms of client response have not been studied, since smaller charging blocks may be considered as a disincentive to make additions to stay duration; this has repercussions on turnover and consequently on wait time at the entrance. This paper covers the abovementioned topics based on a study carried out in Barcelona (Spain).     

Parking behaviour: The curious lack of cruising for parking in San Francisco

Cruising for parking has long been perceived as a major source of congestion and emissions in urban areas, but recent empirical work suggests that parking may not be as onerous as folklore suggests, and that the amount of vehicle travel attributable to cruising is minimal. In this paper, we reconcile these perspectives through a dynamic programming model of parking search, and empirical insights from a large-scale GPS dataset in San Francisco and the California Household Travel Survey. We first draw a conceptual distinction between parking search, the time between the driver’s decision to park and when a parking space is taken; and cruising, defined as excess vehicle travel due to parking search. In places with little or no through traffic, up to half of traffic can be searching for parking, but cruising can be zero. We then operationalize this distinction through a dynamic programming model. The model predicts that when parking is perceived to be scarce, drivers are more willing to take a convenient available space, even if it is some distance from their destination. Counter-intuitively, scarce parking can even suppress vehicle travel as perceived parking scarcity leads drivers to stop short of their destinations and accept a longer walk. Empirical data from California indicate that neighborhood density (a proxy for parking availability) has little impact on cruising for parking, but increases walk distances from parking locations to final destinations. We conclude that cruising for parking is self-regulating, and that in certain circumstances parking scarcity can even reduce vehicle travel.