基于问卷调查获取的万份调查数据，构建了以通勤时间/距离为基础数据的职住分离度量模型，即基于频数分布法的通勤时间/距离和基于不同时段/区段范围内居民分布结构的“职住分离强度指数”。根据上述判别模型与计算结果，发现：①各样本区居民通勤时间普遍增加，城市外围区轨道交通沿线居民通勤时间多数集中在40分钟以上，自购居民的通勤时间明显高于租住居民。②与非地铁沿线居民相比，轨道沿线居民的职住距离较高，以居住为主的大型外围区居民的通勤距离明显偏大。③郊区居民职住分离强度相对较大，通勤时间及其变化在远郊区、中心城区以及不同的样本区之间具有较为复杂的差异。④基于差异，简要分析了样本特殊性形成与发展的机理，并简要透析出与房地产价格、轨道交通、以及城市功能区之间的关系。
Based on the data from a survey, we construct two methods to measure the degree of jobs-housing misbalance, simulate commuting time/distance based on frequency distribution method, and measure the degree of jobs-housing misbalance using “jobs-housing misbalance intensity index”. According to the measurement model and calculation results, it is found that (1) the commuting time of sampling areas generally increases. The commuting time of the inhabitants living along suburb rail lines is around 40 minutes or more, and the commuting time of houseowners is significantly higher than that of the tenants; (2) compared with other residents, those who live alongside the rail lines have longer commuting distance, especially for those living in the large suburb residential areas; (3) variance in the commuting distance of suburb residents is relatively higher, and the commuting time and its variation are different between suburban and urban areas, and within different sampling areas; (4) based on the variations, the formation and developing mechanisms of the particularity of samples have been analyzed, and the influence of rail transit on the distribution of jobs and residence has also been studied.
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