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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 present design and performance evaluation through simulation of a parking management system (PMS) for a fully automated, multi-story, puzzle-type and robotic parking structure with the overall objective of minimizing customer wait times while maximizing the space utilization.

The presentation entails development and integration of a complete suite of path planning, elevator scheduling and resource allocation algorithms. The PMS aims to manage multiple concurrent requests, in real time and in a dynamic context, for storage and retrieval of vehicles loaded onto robotic carts for a fully automated, multi-story and driving-free parking structure. The algorithm suite employs the incremental informed search algorithm D* Lite with domain-specific heuristics and the uninformed search algorithm Uniform Cost Search for path search and planning. An optimization methodology based on nested partitions and Genetic algorithm is adapted for scheduling of a group of elevators. The study considered a typical business day scenario in the center of a metropolis.

The simulation study indicates that the proposed design for the PMS is able to serve concurrent storage-retrieval requests representing a wide range of Poisson distributed customer arrival rates in real time while requiring reasonable computing resources under realistic scenarios. The customer waiting times for both storage and retrieval requests are within acceptable bounds, which are set as no more than 5 min, even in the presence of up to 100 concurrent storage and retrieval requests. The design is able to accommodate a variety of customer arrival rates and presence of immobilized vehicles which are assumed to be scattered across the floors of the structure to make it possible for deployment in real-time environments.

The intelligent system design is novel as the fully automated robotic parking structures are just in the process of being matured from a technology standpoint.

The purpose of this paper is to find a real-time parking location for a four-wheeler.

Real-time parking availability using specific infrastructure requires a high cost of installation and maintenance cost, which is not affordable to all urban cities. The authors present statistical block matching algorithm (SBMA) for real-time parking management in small-town cities such as Bhavnagar using an in-built surveillance CCTV system, which is not installed for parking application. In particular, data from a camera situated in a mall was used to detect the parking status of some specific parking places using a region of interest (ROI). The method proposed computes the mean value of the pixels inside the ROI using blocks of different sizes (8 × 10 and 20 × 35), and the values were compared among different frames. When the difference between frames is more significant than a threshold, the process generates “no parking space for that place.” Otherwise, the method yields “parking place available.” Then, this information is used to print a bounding box on the parking places with the color green/red to show the availability of the parking place.

The real-time feedback loop (car parking positions) helps the presented model and dynamically refines the parking strategy and parking position to the users. A whole-day experiment/validation is shown in this paper, where the evaluation of the method is performed using pattern recognition metrics for classification: precision, recall and F1 score.

The authors found real-time parking availability for Himalaya Mall situated in Bhavnagar, Gujarat, for 18th June 2018 video using the SBMA method with accountable computational time for finding parking slots. The limitations of the presented method with future implementation are discussed at the end of this paper.

The purpose of this paper is to describe an approach of using mobile phones with Bluetooth technology to enter/exit restricted area.

Applied Bluetooth technology implemented in mobile phones enables the user to perform the identification and the state of presence while entering/exiting the parking space without stopping the vehicle. For the successful implementation of this method for presence detection and proper identification, it is necessary to determine the values of the Bluetooth signal.

This paper discuses a case study that has been done at entry/exit of parking lots. The obtained experimental results show that mobile phones with the Bluetooth technology can be successfully applied as presence detection sensors, as well as in processes for the identification of the user/object in the move.

The paper gives a primer how mobile phones with Bluetooth technology, in addition to their basic purpose, can be used as identification devices to enter/exit restricted area.

The users have possibilities to access restricted area using a common device – a mobile phone with Bluetooth technology. Successful implementation of developed access control system is based on determining the proper value of the Bluetooth signal strength field that extends around the control cabinet in which the Bluetooth devices are situated.

Parking policy in the United States is dominated by zoning codes with minimum parking requirements stipulated for a variety of uses. Some cities have realized that this approach has not yielded the desired policy outcomes; instead, it may be causing unintended consequences including added auto-travel, dispersed development, congestion, and air pollution that cities now wish to mitigate.

This paper identifies historic and contemporary trends in United States’ parking policy as cities gain additional insight and embrace new priorities.

Three emerging trends in the U.S. context are identified: Rethinking zoning codes that require parking with development; introducing pricing to better manage curb resources thereby cutting down curb-space competition; and looking for urban design solutions to parking access, location and on-site placement which can lead to more efficient mode use decisions.

The chapter provides an analysis of cases showing how cities are now seeking alternative approaches.

After many years of policy intervention focused on the alleviation of parking shortages by requiring additional off-street parking, cities are now seeking alternative approaches.

Cities can learn from each other’s experiences. New paradigms in parking policy will lead to different social outcomes: they could increase the cost of auto use (disadvantaging the poor) but decrease auto dependence (favoring the poor).

The originality of this chapter is in the juxtaposition and analysis of trends that have, heretofore, had little exposure.

This study investigates into how organizations enable the compatibility between intermediary role of conventional systems with disintermediary potentials of blockchain toward the coordination of multiple actors in operations management.

The data were collected from 31 interviewees of the case organizations. We conduct an in-depth case study of successful BC implementation in operations management, by using affordance-actualization (A-A) theory as the theoretical lens.

This study identifies the incompatibility between the affordances of conventional systems and blockchain in coordination/operations management and offers a process model in which a fusion phase enables the affordances to be compatible and then to be actualized. The fusion phase extends A-A theory by transposing and connecting in the context of operations management. The result also shows that blockchain technology has decentralized potentials to address the issues caused by centralized organizations or information systems, while not to replace the intermediary roles of centralized organizations or information systems.

This study makes important theoretical contributions to the literature on blockchain used in operations management, the roles of blockchain enablement and affordance-actualization theory. The findings can also help IT practitioners to implement BC-based applications effectively.

This chapter explains how and why local parking policies are developed, the sometimes conflicting relationship between parking, revenue raising and economic development and the circumstances in which it may be appropriate to use parking policy as a demand management tool.

This chapter offers a review of prior research and literature on the topic parking management and further explores the impacts and difficulties of parking management. Moreover, empirical data in this chapter comes from the authors’ own survey study of southern, eastern and southeastern European cities about their parking problems and policies.

The findings of this chapter show that there is a need to consider what parking solutions cities may choose and what solutions might work for them. It is difficult to say that very different solutions will suit cities of different sizes, but rather that the level of implementation of the solutions must be related to the scale of the problem in each city, and its citizens’ demands. In addition, each city must work within its particular legislative context, which is why certain solutions might not work in some cities.

Parking policy and parking management are key to urban mobility and to managing its negative effects. It is possible to develop a car parking policy that will manage the negative impacts of urban car use whilst also supporting business and the economy; but this is a balancing act, which is why it is important to learn from the experience of other places, as we have shown in this chapter. Parking demand and the response of different cities to it are very important when considering the rise of car use in Europe and other parts of the world. Future solutions for parking problems are detailed at the end of this chapter.

This chapter offers a comprehensive overview of prior research in parking management and connects this overview to findings of the authors own survey in south, eastern and southeastern European cities. Very few studies have made similar connections and provided in-depth insights into parking management in European cities. Moreover, the research provides useful information for planners and professionals dealing with parking issues and what solutions might work in their city.