Search results

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 study is to examine whether discrete event simulation (DES) can be equally utilised in the design phase of the architecture, engineering and construction industry (AEC) projects to achieve a more efficient facility layout. Facility design is a complex process involving diverse disciplines, tasks, tools and events. Integrating key participants involved in the design generally leads to a more satisfied end-user. The AEC thoroughly examined different approaches to enhance this integration through improved communication, visualisation and coordination among the different project participants. DES has been used extensively as a tool for analysis and evaluation, especially during the construction process.

A facility planning framework is illustrated that combines both qualitative and quantitative analysis to achieve a performance-driven design. An investigative qualitative research approach is used to determine the design criteria and performance metrics based on the end-user and authority requirements. This approach is achieved by conducting critical reviews, surveys, focus groups and interviews. The research findings and collected data are used to perform a quantitative analysis to determine the effectiveness of the proposed design if constructed using DES. The potential of the method is shown through a case study to design a mall parking facility.

The case study illustrated the capability of DES to improve construction design by comparing the artificially designed facility following the proposed framework to an existing facility. Increasing customer satisfaction by enhancing safety, minimising waiting time and maximising parking spot availability were the performance metrics used to evaluate the designs. DES was used as a tool to measure these criteria. Utilising DES in facility design increased resource utilisation and resulted in a safer layout that satisfied the end-user, client and authority requirements.

Previous studies focused on integrating other modules such as energy, HVAC, lighting, acoustics and life cycle analysis to achieve a performance-driven design. The overwhelming majority of the literature focused on the use of DES for improving construction operations. Research literature about integrating DES as a tool for concurrent life cycle design was scarce. This research demonstrated that DES is an effective method and a vital key for determining the facility’s operational efficiency after construction.

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.

In Guangzhou, the largest city in southern China, car ownership is increasing beyond the capacity of the road system. This leaves streets gridlocked and parking facilities inaccessible, thus under-utilized. At the same time, Guangzhou's zoning code calls for additional off-site parking which is likely to encumber development. This chapter documents and discusses policies in Guangzhou that affect and are affected by parking and how they relate to City goals.

The chapter explores the relationship between three interrelated topics: (1) today’s parking policies in Guangzhou, regulated by a variety of municipal agencies, (2) case studies of two large developments and their respective parking supplies and demands, and (3) city goals and objectives.

There is opportunity for Guangzhou to implement strategies to manage its parking supply relative to its roadway capacity, plus integrate its parking policies to the overall transportation system.

Emerging cities can learn from other’s experiences. Parking supply affects the decisions people make about how they will travel and this in turn affects congestion, air quality and quality of life. Using smart parking regulations means an end to inadvertently fostering dependency on the car and the start of creating sustainable communities.

The value of the chapter comes from the way it builds from existing evidence to further understand the challenges of an emerging, fast-growing city.

Scheduling the airlift of relief supplies into a damaged or small airport during a crisis is complex yet crucial. The volume of cargo and flights can temporarily overwhelm the airport’s capacity and the mix of flights adds complexity. The purpose of this paper is to better characterize airport operations during a crisis, to develop a model that can assess strategies for scheduling flights and to draw implications for decision makers.

First, empirical data are analyzed to characterize airport operations. Previously unreported data from the 2010 Haiti earthquake response in the form of a “flight log” are analyzed to provide new insights and parameters. Alternate scheduling strategies are drawn from review of the literature and After Action Reports. Second, a queuing model is developed to understand operations in past crises and predict the impact of alternate scheduling strategies. Empirical data provide the parameters for airport scenarios evaluated.

Unloading capacity is seen to be the bottleneck but also to not be fully utilized, suggesting that a more aggressive flight schedule is needed. Scheduling flights is shown to be a tradeoff between volume of aid delivered and flights that must be diverted. The proper mix of aircraft and prioritized divert policies also provide benefits. Finally, it is beneficial, though perhaps counterintuitive, to create a parking buffer upstream from the unloading bottleneck.

Analysis of previously unreported data from the Haiti earthquake provides new insights regarding airport parking and unloading operations. A new model of airport scheduling for disaster response is proposed. The model differs from other humanitarian airlift models in that it focuses on aircraft parking and unloading. It differs from commercial aircraft scheduling and gate assignment in the objective used.

The purpose of this study is to measure the supply and demand for parking in London to determine whether there is sufficient provision for night-time residential needs and to determine whether policies designed at controlling car ownership by restricting residential parking are effective.

The history of parking controls and early studies of parking in Central London are reviewed to put into context recent surveys of parking supply undertaken by MVA. Data from the National Travel Survey, the English Housing Survey and various travel demand surveys by Transport for London have been analysed to determine the overnight demand for parking and the supply both off-street and on-street.

The study shows that there appears to be saturation in inner London for controlled on-street parking (which is the majority of available parking) and high utilisation for off-street parking. In outer London, there is more spare capacity. The evidence suggests that restricting residential parking space does not limit the growth in car ownership especially in outer London where the car is an essential part of modern living.

Restrictive policies on parking supply in new developments leads to unsightly and dangerous parking on streets not designed for parking or illegal parking on footways. Policy makers must appreciate that car ownership will continue to rise and that parking spaces must be provided, if necessary, underground.

The study uses several different sources of data to investigate the under-researched area of parking availability which is of considerable importance to transport planners and policy makers.

The purpose of this study is to solve the optimal operation strategy problem of plug-in electric vehicles (PEV) parking as a demand response (DR) program and hydro storage as an energy storage system in a smart grid environment using a heuristic algorithm.

Studying the smart grid with DR, renewable energy resources and energy storage systems is necessary. To do this, the heuristic optimization algorithm is developed to solve the scheduling problem. This deterministic algorithm benefits from the definition of appropriate fitness functions.

For validation, it is shown that reduction of 1.1%–12.5% in pollution and 8.8%–34.8% in total cost are achieved, as compared with literature. Also, the suggested operation strategy of PEVs parking and hydro storage results in reducing the total cost by 6.21%.

DR programs such as PEV parking play a major role in smart grid developments. Also, energy storage systems such as hydro storage lead to better performance of distributed generations and lower costs and pollution by thermal units. However, based on the literature, the effects of PEV parking and hydro storage on smart grid operation strategy are not considered. Therefore, contributions of this study are: effects of hydro storage on the smart grid are considered, effects of PEV parking on the smart grid are considered, a heuristic algorithm is developed to solve operation strategy problem for PEV parking and hydro storage in a smart grid environment.

This paper identifies and discusses that parks, as one kind of open space, must be open not only for some people, but for everyone, including those with special needs such as visually impaired people. The paper further identifies a number of key directions for the policy, design and management of park environments and facilities that will promote openness and social inclusion.

The study was qualitative in nature. Case study approach on park environments and facilities was adopted. Used site studies, field observations, interviews with the government officials and professionals of planners, designers and management were conducted. Direct interviews with the visually impaired people were conducted during the field observation. Some of them were also invited to participate in participatory research workshops to give comments and suggestions on the design and management of park environments and facilities.

Open spaces are important and necessary for all. However, visually impaired people are always indirectly excluded from open spaces such as parks, which are important for the quality of urban life. Three areas that require attention to improve the accessibility of parks: ways of identifying and approaching the parks; overall environmental setting of the parks; and facilities inside the parks. Assistance to visually impaired people can be further categorized into information provided in advance and information provided on-site.

Further case studies are expected to be conducted in other kinds of open space and other cities in order to generate a more comprehensive understanding related to the topic. Continuous studies are also necessary since the park environments and facilities are changing all the time. With the users ' participation, in particular those with special needs, in research is important.

The findings provide reference and direction for the governments, designers and managment to plan, design and manage parks for the needs of visually impaired people. The findings also advocate inclusive and universal approach in planning, implementation and management of parks.

The findings identify that visually impaired people most of the time are indirectly excluded from accessing parks as well as other open spaces.

Although the paper was based on a case study in Hong Kong, its practical and social implications are also important to other places. Although barrier-free concept and requirement have been enforced in many places for some years, people with special needs (in particular visually impaired people) still face a lot of “barriers” in their daily life. The findings provide insights for researchers and also policymakers, designers and management to review the needs of the visually impaired.