The demand for motorcycle taxis has seen a significant increase in Ghana in the last decade. In light of an existing unimplemented ban, several questions arise on the prospects of strong formal regulation and policy implementation. However, the lack of succinct research data on motorcycle taxi regulation from users' perspectives leaves a gap in policy formulation and makes it difficult for effective decision-making. In this study, a users' perspective approach is adopted to identify plausible factors that may inform policy direction for motorcycle taxi regulation in Ghana. Overall, the views of 1489 motorcycle taxi users were sampled. The analyses comprised correlations, multiple correspondence analysis, chi-square tests, and ordinal logistic regression. The results showed that 78% of the respondents support formal regulation but decentralized to the local authorities. Consequently, 70% of the respondents confirmed continuous use intentions. It is found that users' geographical location and occupations are significantly associated with continuous use intentions. Besides, nine influencing factors were confirmed to have a significant positive association with continuous use intentions. However, respondents' perceived safety of motorcycle taxis has a significant negative association with both support for regulation and continuous use intention. This study provides a novel framework, that is the Driving forces, Pressures, State, Impacts, Responses Framework (DPSIR), for the case of motorcycle taxi regulation in Ghana. The findings are relevant for transport policy and urban planning in Ghana and other countries of sub-Saharan Africa.

在过去十年中，加纳对摩托车出租车的需求显着增加。鉴于现有未实施的禁令，关于强有力的正式监管和政策实施的前景出现了几个问题。然而，缺乏从用户角度对摩托车出租车监管的简洁研究数据，导致政策制定存在空白，难以做出有效决策。在这项研究中，采用用户视角方法来确定可能为加纳摩托车出租车监管政策方向提供信息的合理因素。总体而言，抽样了 1489 名摩托车出租车用户的意见。分析包括相关性、多重对应分析、卡方检验和有序逻辑回归。结果显示，78% 的受访者支持正式监管，但权力下放给地方当局。因此，70% 的受访者确认了持续使用的意图。发现用户的地理位置和职业与持续使用意图显着相关。此外，9个影响因素被证实与持续使用意愿呈显着正相关。然而，受访者对摩托车出租车的安全感知与对监管的支持和持续使用意愿都有显着的负相关。本研究为加纳的摩托车出租车监管案例提供了一个新的框架，即驱动力、压力、状态、影响、响应框架 (DPSIR)。