本文選題：大都市郊區(qū) + 通勤交通��； 參考：《南京林業(yè)大學(xué)》2015年碩士論文

【摘要】：目前大都市城市形態(tài)已經(jīng)由傳統(tǒng)的單中心模式逐步發(fā)展為區(qū)域化的網(wǎng)絡(luò)節(jié)點成長模式,這種新的發(fā)展趨勢導(dǎo)致城市周邊廣大郊區(qū)的土地利用發(fā)生了根本性的變化;國內(nèi)目前尚不明確大都市郊區(qū)通勤的具體變化規(guī)律,而該規(guī)律對區(qū)域城市規(guī)劃、城際交通、軌道交通規(guī)劃具有重要參考依據(jù)。本文以大都市郊區(qū)居民通勤特征及空間分布研究為中心,以大都市郊區(qū)軌道交通影響區(qū)域及干線公路影響區(qū)典型樣本區(qū)居民的通勤特征為切入點,采用南京市2012年居民OD調(diào)查數(shù)據(jù)為基礎(chǔ)數(shù)據(jù)。本文首先闡述了通勤、可達(dá)性、職住平衡等基本概念,進(jìn)一步介紹郊區(qū)通勤空間分布、通勤特征與結(jié)構(gòu)、通勤行為與影響因素等理論,結(jié)合本文研究引入通勤矢量的概念,提出通勤矢量包含通勤時間、距離、效率及方向四個維度。通過因子分析與K-means聚類分析,將南京市郊區(qū)居民結(jié)合其個人屬性、社會經(jīng)濟(jì)屬性及家庭屬性等進(jìn)行聚類劃分,發(fā)現(xiàn)將通勤人群劃分為四類較為合理,不同通勤群類具有各自的通勤矢量特性;從通勤矢量四個維度對軌道交通及干線公路影響區(qū)域典型居民區(qū)進(jìn)行分類及對比分析,探討不同居住區(qū)位的通勤人群在通勤矢量屬性上的差異性;由于居民自身屬性及居住需求的不同最終形成不同人群的居住區(qū)位,同時通勤矢量屬性的分異特征也被逐步強(qiáng)化。通過交叉對比分析發(fā)現(xiàn)軌道沿線與干線公路沿線樣本區(qū)中不同類別人群分布呈現(xiàn)明顯差異性,軌道交通沿線Ⅲ、Ⅳ類人群為主,干線公路沿線以Ⅰ、Ⅱ類人群為主。最后對大都市郊區(qū)居民居住區(qū)位與通勤交通方式選擇進(jìn)行建模,基于不同通勤群類選擇效用最大化,建立非集計模型。假設(shè)就業(yè)區(qū)位一致的情況下,居住區(qū)位在10-20km與20km圈層內(nèi),軌道交通與公交影響區(qū)域,兩種交通方式較其他通勤方式表現(xiàn)出較大優(yōu)勢;不同之處在于,軌道交通出行在干線公路影響區(qū)域隨著通勤距離增加,通勤時間彈性變換更為敏感;而在長距離通勤出行中,公交與小汽車通勤出行表現(xiàn)出較大差異,前者對通勤時間彈性的變化更為敏感,而后者在兩種情況下表現(xiàn)較為一致,且隨著通勤距離的增加對時間彈性的敏感度表現(xiàn)不明顯;但在干線公路沿線,隨著通勤距離的增加,軌道交通通勤出行的時間彈性變化顯著增加,在20km區(qū)域時,軌道交通對通勤者居住區(qū)位選擇及通勤出行上吸引力最大。
[Abstract]:At present, the form of metropolitan cities has gradually developed from the traditional single-center mode to the regional network node growth model, which leads to the fundamental changes of the land use in the suburbs around the city. At present, it is not clear in our country that the specific changing law of commuting in the suburbs of metropolis, and this law has important reference basis for regional urban planning, intercity transportation and rail transit planning. This paper focuses on the study of the commuting characteristics and spatial distribution of the residents in the suburbs of metropolis, and takes the commuting characteristics of the typical sample areas of the affected areas of the urban rail transit and the trunk roads as the breakthrough point. Nanjing 2012 residents using OD survey data as the basic data. In this paper, the basic concepts of commuting, reachability and work-accommodation balance are introduced, and the theory of suburban commuting space distribution, commuting characteristics and structure, commuting behavior and influencing factors are introduced, and the concept of commuting vector is introduced in this paper. The commuting vector includes four dimensions: commuting time, distance, efficiency and direction. Through factor analysis and K-means cluster analysis, this paper classifies the suburban residents of Nanjing with their personal attributes, social and economic attributes and family attributes, and finds that it is reasonable to divide commute people into four categories. Different commuting groups have their own characteristics of commuting vector, and classify and compare the typical residential areas affected by rail transit and trunk highway from four dimensions of commuting vector. This paper discusses the differences of commuting vector attributes in different residential areas. Because of the difference of residents' own attributes and residential needs, the residential areas of different populations are formed, and the differentiation characteristics of commuting vector attributes are gradually strengthened. It is found that the distribution of different groups of people in the sample areas along the track and along the trunk road is obviously different, the type 鈪，

本文編號：1933457