This article aims to present an integration model of GIS with open data sourced from application programming interface (API) as a solution for the location set covering problem (LSCP) with an urban land dynamics model. The development of GIS which is increasingly advanced makes traditional GIS transition in the open data era to become more modern. One of the benefits is to help urban planners in determining the allocation of health facilities such as hospitals. This research takes the case of hospital service coverage during emergencies, especially during the COVID‐19 extraordinary event in Metropolitan Semarang, Indonesia. In addition to utilizing API‐base Location, the model process also uses a Cellular Automata‐based land use prediction model. Thus, the facility location plan not only considers service coverage but also land use growth which is a reflection of population growth. To analyze the problem of inequity of hospital services, this research combined the location‐based APIs‐based service area model with the urban growth model to evaluate the existing condition and predict the future of hospital service demand. It also uses the emergency standard with a maximum service distance of 1500 m and a maximum travel time of 7 min. The model confirmed that there are still critical spots not served by hospitals in Semarang City. According to the concept of health and place, it is essential to recommend adding two hospitals in unserved areas so that services are more evenly distributed in the future, especially in emergencies.

中文翻译：

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GIS 基于位置的 API 和城市增长模型的集成，以改善对医院服务的地理访问

本文旨在提出一种 GIS 与来自应用程序编程接口 (API) 的开放数据的集成模型，作为城市土地动态模型的位置集覆盖问题 (LSCP) 的解决方案。 GIS的日益先进的发展使得开放数据时代的传统GIS转型变得更加现代化。好处之一是帮助城市规划者确定医院等卫生设施的分配。本研究以紧急情况下的医院服务覆盖为例，特别是在印度尼西亚三宝垄大都会发生的 COVID-19 特殊事件期间。除了利用基于 API 的位置之外，模型过程还使用基于元胞自动机的土地利用预测模型。因此，设施选址规划不仅考虑服务覆盖范围，还考虑反映人口增长的土地使用增长。为了分析医院服务不平等问题，本研究将基于位置的API的服务区模型与城市增长模型相结合，评估医院服务的现状并预测未来的医院服务需求。它还采用紧急标准，最大服务距离为1500 m，最长行驶时间为7 min。该模型证实，三宝垄市仍有一些关键地点没有医院提供服务。根据健康和地方的概念，有必要建议在未提供服务的地区增加两家医院，以便将来的服务分布更加均匀，尤其是在紧急情况下。