584 / 2019-03-01 03:41:36
Understanding commuting changes as a science of planning: A collaborative use of mobile phone data and planning-support model
commute,mobile phone data,planning support systems,land-use and transport interaction model
全文录用
Tianren Yang / University of Cambridge
Ying Jin / University of Cambridge
Zhenxuan Yin / Tongji University
De Wang / Tongji University
A long-term appraisal of commuting change is crucial as it reflects resident’s responses to planned urban changes. Previous literature tends to tap on the mobile phone data (MPD) to estimate commuting flows, but its use is often limited to a representation rather than an explanation of the changing phenomenon. This research utilises a planning-support model that combines increasingly available MPD and conventional urban datasets to construct a well-calibrated commuting matrix in the base year 2010. Based on the sound outcomes through the cross-year model validation, counterfactual simulations have been conducted to help local planners and decision-makers understand what leads to the differences in commutes across categorical zones (i.e. centre, near suburbs, sub-centres, and far suburbs). The results show that both housing supply and jobs decentralisation in the city centre contribute to a shorter and more balanced commute, while the latter one has a larger effect. As a science of planning, the proposed model coupled with empirical evidence across years has the ability to deliver timely and situation-cogent messages regarding the success or failure of planned policy incentives.
重要日期
  • 会议日期

    07月08日

    2019

    07月12日

    2019

  • 06月28日 2019

    初稿截稿日期

  • 07月12日 2019

    注册截止日期

联系方式
历届会议
移动端
在手机上打开
小程序
打开微信小程序
客服
扫码或点此咨询