Bicycle sharing systems (BSSs) in urban areas are considered an effective solution for enabling sustainable transportation. In this sense, the locations of BSS stations (BSSSs) are of vital importance to establish efficient BSSs. In addition, citizens should be able to benefit from suitable cycling infrastructure (CI) for their safety. For this reason, the aim of this article is to propose an integrated framework that includes the best worst method (BWM) and geographic information systems (GIS) techniques to determine optimal locations of BSSSs and CIs simultaneously. Proposed BSSS locations and CIs are ranked to present more elaborate results. Moreover, sensitivity analysis is applied with the aim of revealing the uncertainty in the model. In this connection, the locations close to shorelines are found to be highly suitable, because they have advantages in terms of important criteria such as BSSS and transportation station. Consequently, this study presents the interplay of GIS techniques and multicriteria decision making methods, offering a significant solution for simultaneous location selection of BSSS and CI. The results of the approach proposed in this article can be used as a basis for both transportation planning and urban planning.

城市地区的自行车共享系统 (BSS) 被认为是实现可持续交通的有效解决方案。从这个意义上说，BSS 站 (BSSS) 的位置对于建立高效的 BSS 至关重要。此外，公民应该能够从合适的自行车基础设施 (CI) 中受益，以确保他们的安全。出于这个原因，本文的目的是提出一个集成框架，其中包括最佳最坏方法 (BWM) 和地理信息系统 (GIS) 技术，以同时确定 BSSS 和 CI 的最佳位置。对提议的 BSSS 位置和 CI 进行排名以呈现更详细的结果。此外，敏感性分析的目的是揭示模型中的不确定性。在这方面，发现靠近海岸线的位置非常合适，因为它们在BSSS和交通站点等重要标准方面具有优势。因此，本研究展示了 GIS 技术和多标准决策方法的相互作用，为同时选择 BSSS 和 CI 提供了重要的解决方案。本文提出的方法的结果可用作交通规划和城市规划的基础。