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Modelling urban freight generation: A case study of seven cities in Kerala, India

机译：模拟城市货运量：以印度喀拉拉邦的七个城市为例

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This paper presents a set of freight generation (FG) models for seven cities in Kerala, India. Models were formulated by considering business size variables that capture establishment freight activity. Model estimation results revealed that business size indicators such as number of employees and gross floor area explained the freight generation well. Number of years in business (YB) was identified as another variable and considered in model specification to estimate FG. Detailed investigation of single variable FG models suggested that employment -based models are suitable for cities with dense commercial activities and higher land value, while area-based models better represented FG in cities with medium level of urbanization. Area appears to be a skewed indicator for representing business size in cities with dense commercial activities. In this case, where acquiring area is difficult, employment may be a better representative of growth in freight activity. As an extension of city specific FG models, three types of combined FG models were developed to provide quantitative statistical evidence for differences in model specifications across the cities. The statistical findings from these models suggest that freight activities are influenced by the interaction of establishment characteristics and its location. Interaction effect is more prominent when area is used to represent the business size. Since a systematic commodity flow survey practice is absent in India, planners and policy makers can be benefited from this study while making decisions on freight specific investment schemes and freight operation strategies. The interaction FG models discussed subsequently in this study may be utilized in transportation planning application for the state, regional and corridor level network capacity needs.
机译：本文介绍了印度喀拉拉邦七个城市的一组货运量（FG）模型。通过考虑捕获企业货运活动的业务规模变量来制定模型。模型估计结果显示，诸如员工人数和建筑面积之类的业务规模指标很好地说明了货运量。营业年数（YB）被确定为另一个变量，并在模型规范中考虑以估算FG。对单变量FG模型的详细研究表明，基于就业的模型适用于商业活动密集且土地价值较高的城市，而基于区域的模型则更好地代表了中等城市化水平城市的FG。面积似乎是代表商业活动密集城市中企业规模的偏斜指标。在这种情况下，在难以获取地区的情况下，就业可能是货运活动增长的更好代表。作为特定于城市的FG模型的扩展，开发了三种类型的组合FG模型，以提供有关整个城市模型规格差异的定量统计证据。这些模型的统计结果表明，货运活动受场所特征及其位置之间相互作用的影响。当使用面积表示业务规模时，交互作用会更加突出。由于印度缺乏系统的商品流量调查实践，因此计划者和政策制定者可以从该研究中受益，同时针对货运特定的投资计划和货运运营策略做出决策。后续在本研究中讨论的交互FG模型可用于州，区域和走廊级网络容量需求的交通规划应用中。

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