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The purpose of this paper is to use parking behavior as a direct measure of delayed gratification, a cultural trait recognized by scholars as contributing to people's economic success. Backing into a parking space requires more time and effort, but it will enable the driver to exit more easily, safely, and quickly in the future. The author argue that people who park their cars back-in embody a culture of delayed gratification, and societies with a higher back-in parking rate tend to have better economic performance.

The author tested the hypothesis using parking and economic data from the BRIC countries, Taiwan, and the USA.

Results show that there is a strong positive relationship between back-in parking and labor productivity gains. The author also found that back-in parking positively correlates with economic growth, savings rate, and educational attainment.

This is the first study that uses parking behavior to predict economic performance. The feasibility of collecting parking behavior data across countries provides a new and viable way to overcome the limitation of relying on attitudinal or experimental data to measure the culture and behaviors of delayed gratification. The author therefore call for a collective effort to establish a “Global Parking Index.” Such an index will help us better understand parking behavior and how it may relate to socioeconomic performance such as learning, saving, and investing.

Parking choice involves an individual selecting a parking place based upon various inter-related factors. This chapter examines the factors that influence parking choice decisions.

A review of the literature on parking choice has been undertaken. The influence of various factors on parking choice and recommendations for future parking policy will be outlined.

Most often it is a combination of several factors which influence individuals’ choice of parking place.

Increased knowledge of the factors which influence parking-search behaviour will inform urban parking policy applications with associated environmental and economic benefits.

To overview the gamut of issues that on-street parking impacts in mixed-use centers including: parking demand, land use, vehicle speed, road safety, the pedestrian environment, and travel behaviors.

In addition to reviewing existing literature, the following two case studies are presented. The first study explores the impact in centers built before the advent of parking regulations as compared to more contemporary, conventional developments. The second study investigates how street design factors affected vehicle speeds and safety, based on a study of over 250 roads.

On-street parking typically: serves the highest demand; is efficient in terms of land use and cost; induces lower vehicle speeds; increases safety on low-speed streets; enhances walkability; and fosters less driving, more pedestrian activity, and increased vitality.

On-street parking is one piece of a larger puzzle of complementary factors that influence issues such as travel behavior and safety, and therefore, it is difficult to isolate. On-street parking plays a crucial role in helping create places that are walkable, require less parking, and have more vitality. On-street parking is not purely a device to be used in the right environment; rather, it is a tool to help create that right environment.

Prevailing thought on the subject of on-street parking has shifted back-and-forth for generations, in part because most studies focus on one or two impacts. This chapter takes a more comprehensive approach in order to increase our understanding of on-street parking in mixed-use, commercial centers.

This chapter explains the primary factors influencing the growth in parking supply, what the impacts have been in urban areas throughout the United States, efforts that are underway to better manage urban parking supply, and how these findings relate to international cities.

This chapter offers a review of prior research and literature, and further explores the impacts of parking using historical data from six cities and by focusing on two specific case studies. It also includes a discussion of global implications.

Parking supply has increased by anywhere from 70% to 160% in urban areas throughout the United States, thereby contributing to considerable land consumption and increases in local automobile use. These increases were driven in large part by minimum parking requirements and perceived market demand. Since 1980, parking growth has slowed considerably in cities that have implemented parking limits and parking management strategies.

Parking is typically viewed as a valuable amenity that should be provided indiscriminately. This work outlines the consequences associated with this view and highlights isolated cases in which policies have been successfully implemented to address the negative outcomes of conventional policy approaches.

This chapter offers a comprehensive overview of prior research in parking policy and ties the findings to specific outcomes in urban areas throughout the United States. No other study to date has tracked long-term changes in urban parking supply or its impacts. This work provides a valuable perspective on the magnitude of those impacts and the potential to mitigate those impacts thorough policy reform.

This study aims investigate the status of applying technology in car parking facilities. It also examines the factors affecting the deployment of these technologies as they improve the efficiency and convenience of car parking facilities amidst changing transport needs in Asian smart cities.

A comprehensive literature review informs the relationships between car park provisions and the traffic congestion problem. A typology covering different technological solutions is then formulated. The factors affecting the use of two such common technologies (i.e. mechanical car parks and intelligent information systems) are examined in two emerging smart cities in Asia with the aid of a desk-top study for Singapore and a survey covering over 600 samples (including users and non-users, as both groups are important to derive influencing factors) in Hong Kong.

The extent to which mechanical car parks may help relieve the space shortage problem depends on their relative costs and the facility management performance. For real-time vacancy information systems, their wide spread use depends on drivers’ age and past parking experience.

Due to geographical constraints, only two Asian cities (Singapore and Hong Kong), where the use of smart technologies is flourishing, are included in the study. The survey on car parking apps is preliminary due to their relative short deployment in Asia. It is expected that the phenomena will quickly spread in the region as more smart cities are developed.

By expounding on the development of modern parking technologies in smart cities, the important influence of car parks as a strategic facility toward solving traffic congestion and environmental problems is brought to the attention of policy makers, in particular the influencing factors affecting strategies to promote the use of parking apps.

The purpose of this paper is to design a parking space management platform to alleviate the parking problem and a two-stage solution for sharing and allocating parking spaces.

The market design mechanism and auction mechanism are integrated to solve the problem of parking space sharing and allocation. In the first stage, the market design mechanism with two rules is applied for making the good use of idle parking spaces. In the second stage, two sequential auction mechanisms are designed by extending first/second-price sealed bid auction mechanism to allocate both private and public parking spaces, which are received in previous stage and owned by the platform. Two stages are connected through a forecasted price which is calculated through the exponential smoothing method.

First, we prove three important properties of the proposed sequential auction mechanisms, namely, incentive compatibility, revenue equivalence and individual rationality. Second, a simulation study is used to verify the effectiveness of the mechanisms through numerical analysis. The impact of the system on three parts, namely, agents (private parking space suppliers), bidders (parking space customers) and the platform, is examined. Third, the results show that the sharing mechanism with monetrary incentive will attract a number of agents to join in the platform. The bidders are also able to obtain considerable utility, as compared with the (average) market parking fees. The platform can thus effectively allocate parking spaces with reasonable prices.

This paper combines the classical sequential auction mechanisms with the market design mechanism for the parking space sharing and allocation problem. The modeling and analysis method can also be used to address the similar allocation and pricing problems of other resources like bicycle sharing.

Bike sharing (BS) is a phenomenon of growing interest in the sustainable mobility field. In recent years, many governments have implemented concrete actions to diffuse the services in cities, trying to encourage citizens' sustainable behavior. Several mobile applications (apps) related to the mobility sector have embedded gamification mechanics applied in non-gaming contexts, able to create and increase user engagement and to manage users' behavior (Deterding et al., 2011). The main purpose of this study is to understand whether app perception influences gamification, and how gamification improves service quality and user loyalty in BS systems.

To examine the impact of gamification on service quality and loyalty, the study performed secondary data collection and qualitative analysis with in-depth interviews. Thereafter, a quantitative analysis was conducted, and the theoretical model was analyzed through structural equation modeling (SEM).

findings showed that the use of gamification mechanics in BS services improves users' loyalty and directly influences service quality. The gamification tool improves users' engagement, transferring rules, facilitating the achievement of goals and quality standards and enhancing the BS usage.

This study uniquely contributes an understanding of the effect of gamification on service quality and loyalty in BS usage. It also provides some insight for companies and policymakers into implementing gamification mechanics in order to address new challenges for quality management.

This study aims to extend research in marketing on two important relational constructs, customer satisfaction and brand attachment, by comparing their long-term effects on customer behaviors with different levels of performance difficulty in a relatively understudied domain of durable products.

Using a two-stage quantitative study with US customers from five durable product categories, the authors first explored the hierarchy of customers’ loyalty behaviors based on increasing effort in a pretest study (N = 675). Then, the authors tested the effectiveness of satisfaction and brand attachment for customers’ loyalty behaviors over a nine-month period in a longitudinal study (N = 2,284) with customers from the same product categories.

Compared to satisfaction, brand attachment emerges as a stronger long-term predictor of customer behaviors. The performance difficulty of customer behaviors positively moderates the impact of brand attachment and negatively moderates the impact of customer satisfaction. Brand attachment is particularly effective in predicting difficult-to-perform customer behaviors, which require customers to expend resources such as time and money. Customer satisfaction is mainly effective for predicting easy-to-perform behaviors, but its long-term impact is significantly lower for easy-to-perform behaviors than brand attachment.

The use of consumer durables in the study and samples from only one country restricts the generalizability of the findings.

The complementary roles of customer satisfaction and brand attachment are highlighted. Only satisfying customers is not enough to engage customers in behaviors that require resources such as money, time and energy for the brand.

A comparative study on the long-term effectiveness of two established relational metrics in explaining different customer behaviors varying in their performance difficulty in an understudied domain of durable products.