文档介绍：第22卷 第2期 交通运输系统工程与信息
2022l costs limited to travel distance
or travel time, without fully considering travel costs and their effects on different travel modes. Based on POI (Point of
Interest) and route planning data from Internet maps and business data platforms, this paper obtains fine-grained
employment and travel data and uses an improved two-step floating catchment area model to propose a job
accessibility measure that takes into account travel costs, to study the job accessibility of both public transport and
private cars and to evaluate the impact of adding travel costs on job accessibility. The case study in Beijing shows that
the average travel cost of private cars changes from 54% to 6% higher than that of public transportation after
considering travel costs. And job accessibility is sensitive to travel costs, and the interaction between commuting and
travel costs cannot be fully captured by considering travel time only; the impact of travel cost is reflected in an overall
average decrease of % and % for public transportation and private car accessibility, and without considering
travel cost, the job accessibility of subdistricts along with the fifth to sixth ring subway will be underestimated; there is