Determining the Regional Job-House Balance Ratio Based on Congestion Factor and Centrality

S. Senevirathne, P. Silva
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Abstract

— It is accepted in urban and regional planning that a proper distribution of land use zoning will be able to optimize the Vehicle Miles Travelled (VMT) to reduce the transportation-related energy consumption and congestion. One of the strategic approaches of integrating transport and urban planning is introducing an optimized ratio for administrative level job-house combinations. The objective of this research is to develop a computer-aided mechanism to assist the determination of development zoning regulations based on the job-house combination in a regional context. The R programming platform is used to develop the automated tool. The data required for the analysis are road network details, trip generation and trip attraction details at each Traffic Analysis Zone (TAZ). The gravity model is used to carry out the trip distribution and it is assigned to the road network using the graph theory. The centrality values are used to estimate the potential trip attraction levels. The main assumption undertaken in the study is that the trip generation occurred by a group of population in a particular TAZ is considered as work based trips. The result of the method for Colombo district, Sri Lanka indicated that the job-house ratio varies from 0.1 to 9.2 resulting in an average trip length of 23 km from houses to work locations. Finally, the method suggested a minimum and maximum value of 0.5 and 4, which reduced the VMT from 46% and average fuel consumption by 22% .
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基于拥塞系数和中心性的区域就业住房平衡比的确定
-市区及区域规划普遍认为,合理分配土地用途分区,可优化车辆行驶里程,以减少与交通有关的能源消耗和交通挤塞。将交通与城市规划相结合的战略途径之一是对行政级别的职宅组合引入优化比例。本研究的目的是发展一种计算机辅助机制,以协助在区域范围内根据工作房屋组合确定发展分区条例。使用R编程平台开发自动化工具。分析所需的数据是每个交通分析区(TAZ)的路网详细信息、出行产生和出行吸引力详细信息。利用重力模型进行行程分配,并利用图论对路网进行分配。中心性值用于估计潜在的旅游吸引力水平。本研究的主要假设是,一群人在特定的特别行政区内产生的旅行被认为是基于工作的旅行。该方法在斯里兰卡科伦坡地区的结果表明,就业住房比率从0.1到9.2不等,导致从住房到工作地点的平均行程长度为23公里。最后,该方法建议最小和最大值分别为0.5和4,从而使VMT从46%降低到平均油耗22%。
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