Urban parks are the main places for leisure and recreation for urban residents and play significant roles in beautifying the cities and harmonizing the urban residents & nature. With the rapid urbanization and fast increasing of people′s living standard, urban residents not only yearn for more urban parks, but also expect to enjoy them conveniently. These changes present great challenges for urban park evaluating and planning. Accessibility analysis is a feasible choice to address this question. Accessibility is defined here as urban parks can be reached or obtained easily or not, which also can be regarded as an important evaluating indicator of urban park spatial distribution efficiency. As the main method to evaluate distribution efficiency and service equity of urban parks, accessibility can be analyzed by many methods. However, different methods are based on different theories and data requirements, reflecting different aspects of accessibility. Understanding these methods and their characteristics exactly will help us choose the suitable method for urban park accessibility analysis. We categorized these methods into four groups and six types and reviewed their theoretical basis, advantages and disadvantages. Although statistic index method is the most widely used, it can only acquire some basic information of urban parks (e.g. percent of urban park area, urban park area per capital) and neglect the spatial distribution of urban parks. Simple Buffering Method and Minimum distance method are simple methods which concern the location of urban parks. The main disadvantage of these methods is that they ignore the barriers between urban parks and residents. Cost weighted distance method measures the total or average distance between citizens and urban parks. Usually distance is calculated as cost weighted distance based on classified landscape. It assigns each landscape type a relative travelling cost and then generates a map of accumulated cost distance. This method depends on classified landscape and relative travelling cost but these values are usually assigned arbitrarily. Gravity Model is based on the law of the gravity. This method calculates relative values which are proportional to recreation opportunities of urban parks (area, recreational facilities) and inversely proportional to distance between urban parks and residents. These relative values spatially display the ease with which urban parks can be reached. However it is difficult to describe the distance decay factor exactly. Network Analysis Method calculates the actual distance or time cost between urban parks and residents based on the actual road. This method simulates the process people reach urban parks more exactly. There are four critical issues which need to be solved during urban park accessibility analysis: (1) simplifying the urban parks and urban citizens exactly, (2) simulating the actual resistance that people will overcome when reaching urban parks, (3) reflecting recreational attraction of urban parks objectively, and (4) choosing the suitable maximum service distance of urban parks especially for different groups of people. We recommend that more effective methods, which not only take the above issues into account, but also integrate the advantages of the previous methods, should be designed to provide more valuable and direct information for urban park planning.