- · 《广州化工》栏目设置[08/03]
- · 《广州化工》数据库收录[08/03]
- · 《广州化工》投稿方式[08/03]
- · 《广州化工》征稿要求[08/03]
- · 《广州化工》刊物宗旨[08/03]
城市公交过剩通勤分析与评价以广州市为例(4)
作者:网站采编关键词:
摘要:4)对比欧氏距离和曼哈顿距离所得结果可以发现,在城市过剩通勤评价中可以使用欧氏距离构建距离成本矩阵. 以上结论表明,过剩通勤可以有效评价城市
4)对比欧氏距离和曼哈顿距离所得结果可以发现,在城市过剩通勤评价中可以使用欧氏距离构建距离成本矩阵.
以上结论表明,过剩通勤可以有效评价城市公共交通空间结构的合理性,多交通方式的过剩通勤分析可以进一步发掘多种交通方式联合优化方向.今后研究将对不同城市的公共交通刷卡数据进行对比分析,特别是增加中小城市进行对比,探讨不同经济发展条件下城市居民公共交通通勤的差异性.
[1] HAMILTON B W, R?ELL A. Wasteful commuting[J]. Journal of Political Economy, 1982, 90(5): 1035-1051.
[2] WHITE M J. Urban commuting journeys are not “wasteful”[J]. Journal of Political Economy, 1988, 96(5): 1097-1110.
[3] SMALL K A, SONG Shunfeng. “Wasteful” commuting: a resolution[J]. Jornal of Political Economy, 1992, 100(4): 888-898.
[4] HORNER M W. Extensions to the concept of excess commuting[J]. Environment & Planning A: Economy and Space, 2002, 34(3): 543.
[5] CHARRON M. From excess commuting to commuting possibilities: more extension to the concept of excess commuting[J]. Environment & Planning A: Economy and Space, 2007, 39(5): 1238-1254.
[6] YANG Jiawen, FERREIRA Jr J. Choices versus choice sets: a commuting spectrum method for representing job-housing possibilities[J]. Environment & Planning B: Planning & Design, 2008, 35(2): 364-378.
[7] O’KELLY M E, NIEDZIELSKI M A. Efficient spatial interaction: attainable reductions in metropolitan average trip length[J]. Journal of Transport Geography, 2008, 16(5): 313-323.
[8] MURPHY E, KILLEN J E. Commuting economy: an alternative approach for assessing regional commuting efficiency[J]. Urban Studies, 2011, 48(6): 1255-1272.
[9] NIEDZIELSKI M A, HORNER M W, XIAO Ningchuan. Analyzing scale independence in jobs-housing and commute efficiency metrics[J]. Transportation Research Part A, 2013, 58(3): 129-143.
[10] 刘贤腾, 陈雪明, 周江评. 就业-居住空间关系及通勤效率——过剩通勤的评估潜力[J]. 城市交通, 2018, 16(2): 14-22.
LIU Xianteng, CHEN Xueming, ZHOU Jiangping. Study on jobs-housing spatial relationship and commuting efficiency: evaluation potential of excess commuting[J]. Urban Transport of China, 2018, 16(2): 14-22. (in Chinese)
[11] KANAROGLOU P S, HIGGINS C D, CHOWDHURY T A. Excess commuting: a critical review and comparative analysis of concepts, indices, and policy implications[J]. Journal of Transport Geography, 2015, 44: 13-23.
[12] 刘望保, 闫小培, 方远平, 等. 广州市过剩通勤的相关特征及其形成机制[J]. 地理学报, 2008, 63(10): 1085-1096.
LIU Wangbao, YAN Xiaopei, FANG Yuanping, et al. Related characteristics and mechanisms for excess commuting in Guangzhou[J]. Acta Geographics Sinica, 2008, 63(10): 1085-1096.(in Chinese)
[13] 刘定惠. 中国西部大城市过剩通勤研究——以成都市和兰州市为例[D]. 兰州: 兰州大学, 2012.
LIU Dinghui. The study of excess commuting of large cities in Western China: the cases of Chengdu and Lanzhou[D]. Lanzhou: Lanzhou University, 2012.(in Chinese)
[14] 周江评, 陈晓键, 黄 伟, 等. 中国中西部大城市的职住平衡与通勤效率——以西安为例[J]. 地理学报, 2013, 68(10): 1316-1330.
ZHOU Jiangping, CHEN Xiaojian, HUANG Wei, et al. Jobs-housing balance and commute efficiency in cities of central and Western China: a case study of Xi’an[J]. Acta Geographics Sinica, 2013, 68(10): 1316-1330.(in Chinese)
[15] LIU Wangbao, HOU Quan. Excess commuting in transitional urban China: a case study of Guangzhou[J]. Chinese Geographical Science, 2016, 26(5): 599-608.
[16] SCHLEITH D, WIDENER M, KIM C. An examination of the jobs-housing balance of different categories of workers across 26 metropolitan regions[J]. Journal of Transport Geography, 2016, 57: 145-160.
[17] 韩会然, 杨成凤, 宋金平. 公共交通与私家车出行的通勤效率差异及影响因素——以北京都市区为例[J]. 地理研究, 2017, 36(2): 253-266.
HAN Huiran, YANG Chengfeng, SONG Jinping. Impact factors and differences in commuting efficiency between public transit and private automobile travel: a case study on the Beijing metropolitan area[J]. Geographical Research, 2017, 36(2): 253-266.(in Chinese)
[18] ZHOU Jiangping, SIPE N, MA Zhenliang, et al. Monitoring transit-served areas with smartcard data: a Brisbane case study[J]. Journal of Transport Geography, 2017, 76: 265-275.
[19] ZHOU Jiangping, MURPHY E, LONG Ying. Commuting efficiency in the Beijing metropolitan area: an exploration combining smartcard and travel survey data[J]. Journal of Transport Geography, 2014, 41: 175-183.
[20] ZHANG Ping, ZHOU Jiangping, ZHANG Tianran. Quantifying and visualizing jobs-housing balance with big data: a case study of Shanghai[J]. Cities, 2017, 66: 10-22.
[21] 钱志诚. 基于地铁刷卡数据和问卷调查数据的深圳市过度通勤研究[D]. 深圳: 深圳大学, 2017.
文章来源:《广州化工》 网址: http://www.gzhgzz.cn/qikandaodu/2021/0522/1358.html