标题: 中型都市道路两旁土地使用特性对道路服务水准之影响
THE IMPACT OF ROAD SIDE LAND USE ON ROADSERVICE LEVEL IN MEDIUM-SIZED CITY
作者: 蔡仲璜
Chung-Huang TSAI
冯正民
Dr. Cheng-Min FENG
运输与物流管理学系
关键字: 中型都市;土地使用;路段旅行速率;道路空间配置;medium-sized city;land use;travel speed;road space layout
公开日期: 1998
摘要: 路段旅行速率是衡量市区干道路段交通服务水准的指标,若能掌握影响行车速率之因素及其效果,则于进行道路拥挤问题改善时,即可预先评估改善方案在道路路段服务水准上的表现。过去探讨路段旅行速率之影响因素多着重于路宽、车道宽或分隔方式等道路实质规划内容,主要系由交通工程的观点出发;然因路旁的活动常会对道路车流发生干扰,故道路两旁土地使用特性亦是影响路段旅行速率的因素之一。若都市规划者未能清楚认知并妥善处理其间的影响,不仅道路与土地均可能无法发挥各自的规划功能,同时也将产生新的冲突。本研究之目的,即在同时探讨道路实质规划内容与两旁土地使用特性对路段旅行速率的影响,以协助规划者进行更完整的考量与规划。
本研究应用“中坜平镇都市计画区”之调查资料,建立以路段旅行速率为因变数之多元回归模式,其解释变数包括:车道宽、是否为主要道路、是否为联外道路、设置骑楼时之车道宽、住宅区之车道宽、是否为住宅区及主要道路路侧开发容积等。此外,并透过回归系数之推论、共线性以与残差之随机性、变异同质性及常态性等统计检定,确定模式为最佳不偏估计式;继而以其他调查地区资料[包括“中坜平镇都市计画区”及“新竹(含香山)都市计画区”],依均方根百分误差值进行验证分析,确定其预测能力良好。另依据上述分析结果与参考国内外道路设计文献规范,并经由路段旅行速率影响模式检核,以期在配合道路两旁土地使用特性与满足各类道路预期服务水准下,研拟各类道路空间规划原则之建议,提供新划设都市计画道路时的参考,并可为既有道路之检讨改善依据。
Travel speed is the index of measuring level of service for arterials. If we can control the factors and effectiveness of affecting travel speed, we then can evaluate the service performance of road improvement plan. In the past, studies which studied factors affecting the travel speed were concentrated on road physical planning factors like road width, lane width, or separating forms etc. They were based on the view point of traffic engineering. But road side activities always disturb arterial flows, so the characteristics of road side land use is also one of factors affecting travel speed. If urban planners cannot clearly understand the relationship between land use and road traffic, there’ll be conflicts. Therefore the purpose of this study is to explore the impacts of road physical planning factors and road side land use characteristics on travel speed.
This study used the survey data of Chung-Li urban-planning area to establish a regression model of which the travel speed is the dependent variable and lane width, residential or not, arterial or not, floor area, connecting road or not, the lane width with arcade. Then based on the statistical test of regression coefficient, collinearity and residual variation, this study could conclude that the model is BLUE. In addition, it is found by testing other area’s data that the forecasting ability is good. Finally, this study suggests road space layout planning principles for the reference of planning new roads and reviewing old roads.
URI: http://140.113.39.130/cdrfb3/record/nctu/#NT870118032
http://hdl.handle.net/11536/63889
显示于类别:Thesis