Using proxies to describe the metropolitan freight landscape
针对大都市货运数据匮乏的难题，提出用人口、就业和交通系统供给等代理变量描述货运活动的空间格局，并在洛杉矶地区验证了其有效性。
Metropolitan areas around the world are seeking to better manage freight flows and reduce negative impacts on local populations. A major challenge to better urban freight management is the lack of data; little is known about freight movements at the intra-metropolitan level. We develop the concept of a freight landscape: spatial patterns of freight activity. We hypothesise that the freight landscape can be described using data on population, employment and transport system supply. We test the concept using network model data for the Los Angeles region. We find that our simple proxies have significant explanatory value, and hence may provide an effective means for approximating spatial patterns of freight activity.