Sustainable urban mobility is an essential component of sustainable development but requires careful planning in rapidly growing urban areas. This paper investigates the value and limitations of Big Data for evaluating transport policies, plans, and projects in Hubballi-Dharwad, India. Results show how Big Data can enable the outcomes of transport interventions to be evaluated more readily than conventional transport analysis. However, the analysis also found that this data may be less able to detect the impacts of travel behaviours in informal settlements, and the impact of extreme weather events. These potential shortcomings, as well as a lack of transparency around the methodology and data sources used by sources of Big Data, could generate unintended consequences and biases in transport planning. Reflecting on these challenges, and the wider implications for urban governance, we conclude that there is an urgent need for Big Data and other technical advances in urban modelling to be seen as compliments to, rather than substitutes for, wider methods of knowledge generation in urban areas.

中文翻译：

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公平的天气预报？大数据对可持续发展的缺陷，来自印度 Hubballi-Dharwad 的案例研究

可持续城市交通是可持续发展的重要组成部分，但需要在快速发展的城市地区进行仔细规划。本文调查了大数据在评估印度 Hubballi-Dharwad 的交通政策、计划和项目方面的价值和局限性。结果表明，与传统的交通分析相比，大数据如何能够更容易地评估交通干预的结果。然而，分析还发现，这些数据可能无法检测到非正规住区的出行行为的影响，以及极端天气事件的影响。这些潜在的缺陷，以及大数据来源使用的方法和数据来源缺乏透明度，可能会在交通规划中产生意想不到的后果和偏见。回顾这些挑战，