DOI: 10.19830/j.upi.2019.046
Effects of TOD on Residents’ Commuting Patterns: Empirical Evidence from Tyne and Wear, the UK

Wen Ping, Zhao Pengjun, Zhou Suhong

Keywords: TOD; Commuting Travel Modes; Job and Housing Space; Residential Self-selection; Longitudinal Comparison; Tyne and Wear, Metropolitan Area; The UK

Abstract:

In car-dependent developed countries, transit-oriented development (TOD) is considered as an urban design approach guiding residents from car travel to public transport and other diversified travel modes. Many studies have examined the traffic impacts of TOD by comparing the travel modes of residents in TOD and non-TOD areas. However, many endogenous factors behind residents’ decisions on living and travelling among different individuals can hardly be tested in this method. Longitudinal comparisons on travel modes of the same group of individuals in both TOD and non-Tod neighborhoods would directly indicate the effects of TOD on individuals’ travel patterns. Taking Tyne and Wear Metropolitan Area in Northeast England as a case study, and analyzing data collected from three different TOD neighborhoods in this area in 2015, this paper explores the changes in job-housing spaces and commuting modes of residents after moving into these TOD neighborhoods. Results show that some residents’ job-housing spatial patterns have changed after moving. People who have to give up walking due to the increase in commuting distance have largely chosen metro instead of car as their alternatives. For those who need to keep automobile commuting, only a relatively small proportion have turned to metro and most of them moved from non-TOD neighborhoods. The impact of TOD on commuting is long-term. The gradual increasing use in metro has strengthened the acceptance of it, and may further influence residents’ decisions on car ownership and future relocation choices, thereby increasing long-term metro use. It could be concluded that TOD has a limited but profound impact on commuting modes.

Funds:

Brief Info of Author(s):

References:
  • [1] 卡尔索普 . 未来美国大都市:生态、社区、美国梦 [M]. 郭亮,译 . 北京 : 中国建筑工业出版社 , 2009. 

    [2] 赵鹏军 , 李南慧 , 李圣晓 . TOD 建成环境特征对居民活动与出行影 响——以北京为例 [J]. 城市发展研究 , 2016(6): 45-51. 

    [3] 赵鹏军 , 孔璐 . TOD 对北京市居民通勤影响及其机制研究 [J]. 人文地 理 , 2017(5): 125-131. 

    [4] CERVERO R. Transit-oriented development’s ridership bonus: a product of self-selection and public policies[J]. Environment and planning a, 2007, 39(9): 2068-2085.

     [5] EWING R, TIAN G, LYONS T, et al. Trip and parking generation at transit-oriented development: five US case studies[J]. Landscape and urban planning, 2017, 160: 69-78. 

    [6] KWOKA G J, BOSCHMANN E E, GOETZ A R. The impact of transit station areas on the travel behaviors of workers in Denver, Colorado[J]. Transportation research part a, 2015, 80: 277-287. 

    [7] Cao J, Cao X. The impacts of LRT, neighbourhood characteristics, and selfselection on auto ownership: evidence from Minneapolis-St. Paul[J]. Urban studies, 2014, 51(10): 2068-2087. 

    [8] 张英杰 , 郑思齐 , 王锐 . 轨道交通建设能否真正促进“绿色”出 行?——基于北京市微观调查样本的实证研究 [J]. 世界经济文汇 , 2015(3): 77-88. 

    [9] 李琬 , 但波 , 孙斌栋,等 . 轨道交通对出行方式选择的影响研究—— 基于上海市 80 后微观调查样本的实证分析 [J]. 地理研究 , 2017, 36(5): 945-956. 

    [10] VALE D S. Transit-oriented development, integration of land use and transport, and pedestrian accessibility: combining node-place model with pedestrian shed ratio to evaluate and classify station areas in Lisbon[J]. Journal of transport geography, 2015, 45: 70-80. 

    [11] NARSI A, ZHANG L. The analysis of transit-oriented development (TOD) in Washington, D.C. and Baltimore metropolitan areas[J]. Transport policy, 2014, 32: 172-179. 

    [12] KAMRUZZAMAN M D, SHATU F M, HINE J, et al. Commuting mode choice in transit oriented development: disentangling the effects of competitive neighbourhoods, travel attitudes, and self-selection[J]. Transport policy, 2015, 42: 187-196. 

    [13] CHEN F, WU J, CHEN X, et al. Vehicle kilometers traveled reduction impacts of Transit-Oriented Development: evidence from Shanghai City[J]. Transportation research part d, 2017, 55: 227-245. 

    [14] KAMRUZZAMAN M, BAKER D, WASHINGTON S, et al. Advance transit oriented development typology: case study in Brisbane, Australia[J]. Journal of transport geography, 2014, 34: 54-70. 

    [15] BOARNET M G, SARMIENTO S. Can land-use policy really affect travel behavior? a study of the link between non-work travel and land-use characteristics[J]. Urban studies, 1998, 35(7): 1155-1169. 

    [16] BUENO P C, GOMEZ J, PETERS J R, et al. Understanding the effects of transit benefits on employees’ travel behavior: evidence from the New YorkNew Jersey region[J]. Transportation research part a, 2017, 99: 1-13. 

    [17] CULLINANCE S, CULLINANE K. Car dependence in a public transport dominated city: evidence from Hong Kong[J]. Transportation research part d, 2003(8): 129-138. 

    [18] CHAKRABARTI S. How can public transit get people out of their cars? an analysis of transit mode choice for commute trips in Los Angeles[J]. Transport policy, 2017, 54: 80-89. 

    [19] LANGLOIS M, VAN LIEROP D, WASFI R, et al. Chasing sustainability: do newcomers in TODs adopt more sustainable modes of transportation?[J] Transportation research record, 2015, 2531: 83-92.  

    [20] HUANG R, MOUDON A V, ZHOU C, et al. Light rail leads to more walking around station areas[J]. Journal of transport & health, 2017, 6: 201- 208. 

    [21] MOKHTARIAN P L, CAO X. Examining the impacts of residential selfselection on travel behavior: a focus on methodologies[J]. Transportation research part b, 2008, 42: 204-228. 

    [22] CAO X, MOKHTARIAN P L, HANDY S L. Examining the impacts of residential self-selection on travel behavior: a focus on empirical findings[J]. Transport reviews, 2009, 29(3): 359-395. 

    [23] 曹新宇 . 社区建成环境和交通行为研究回顾与展望 :以美国为鉴 [J]. 国际城市规划 , 2015, 30(4): 46-52. 

    [24] 文萍 , 赵鹏军 , 周素红 . 英国住宅建设的最新实践与启示 :以泰恩威尔 都市区为例 [C] // 中国城市规划学会 . 持续发展、理性规划——2017 中国城市规划年会论文集 . 北京 : 中国建筑工业出版社 , 2017. 

    [25] ADITJANDRA P T. The relationship between urban form and travel behavior: a micro-analysis in Tyne and Wear[D]. Newcastle: Newcastle University, 2008.

TOP 10