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Past—Present—Future: Urban Spatial Succession and Transition of Rail Transit Station Zones in Japan

Author

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  • Xinyu Zhuang

    (College of Quality & Standardization, Qingdao University, Qingdao 266071, China
    Department of Architecture and Urban Design, Faculty of Human-Environment Studies, Kyushu University, Fukuoka 819-0395, Japan)

  • Li Zhang

    (BMP Construction Consulting (Shanghai) Co., Ltd., Shanghai 200336, China)

  • Jie Lu

    (Qingdao Institute of Standardization, Qingdao 266101, China)

Abstract

In today’s environmentally conscious society, advocated by a global point of view, land and building use around rail transit stations have changed in the urbanization process. Promoting urban construction and development centered on rail transit stations not only meets the actual needs of urban sustainable development but is also an important means to guide the development of innovative cities. Therefore, it is meaningful to study the characteristics of urban spatial succession, development rules, and future trends based on this new perspective. We analyzed the relationship between rail transit networks and urban form in Japan using GIS by investigating changes in land and building use around rail transit stations over 30 years in the 1980s, 1990s and 2000s (from 1985–2010) using factor analysis and cluster analysis, and we discussed the impact of land consolidation planning and the setting and site selection of new stations based on urban development to understand the development trends inside and outside station zones and urban spatial succession. The results showed the following: (1) There are certain relationships between the development of urban form and traffic demand, and the rail transit network in Japan has the characteristics of high accessibility and aggregation of a small network; (2) Commercial development with a high plot ratio is dispersed and diverted by high-density rail transit stations in the commercial center of Japan; and (3) Commercial sub-centers form complexes by integrating multi-line transfers and form regional linkages through clustered commercial development. Regional business centers realize the agglomeration and radiation of functions through the compound development of station zones. This case study on rail transit zones and urban spatial succession in Japan has important enlightenment significance for urban construction toward optimizing the location and development of suburban rail transit lines, promoting the compact development of cities, exploring new ways to build more reasonable transport, planning city design and layout for rail transit station zones, and providing decision-making references for urban regeneration and sustainable development.

Suggested Citation

  • Xinyu Zhuang & Li Zhang & Jie Lu, 2022. "Past—Present—Future: Urban Spatial Succession and Transition of Rail Transit Station Zones in Japan," IJERPH, MDPI, vol. 19(20), pages 1-35, October.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:20:p:13633-:d:948748
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    as
    1. Cascetta, Ennio & Cartenì, Armando, 2014. "The hedonic value of railways terminals. A quantitative analysis of the impact of stations quality on travellers behaviour," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 41-52.
    2. Rennert, Lindiwe, 2022. "A meta-analysis of the impact of rail stations on property values: Applying a transit planning lens," Transportation Research Part A: Policy and Practice, Elsevier, vol. 163(C), pages 165-180.
    3. Maughan, G. & Price, T. J. & Probert, S. D. & Rushton, G., 1997. "Transportation policy--How acting locally can be beneficial: The Rhymney Valley, South Wales as an example," Applied Energy, Elsevier, vol. 58(1), pages 1-56, September.
    4. Whelan, Gerard & Batley, Richard & Shires, Jeremy & Wardman, Mark, 2008. "Optimal fares regulation for Britain's railways," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(5), pages 807-819, September.
    5. Zahiri, Behzad & Suresh, Nallan C., 2021. "Hub network design for hazardous-materials transportation under uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    6. Ibraeva, Anna & Correia, Gonçalo Homem de Almeida & Silva, Cecília & Antunes, António Pais, 2020. "Transit-oriented development: A review of research achievements and challenges," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 110-130.
    7. Yii, Kwang-Jing & Tan, Chai-Thing & Ho, Wing-Ken & Kwan, Xiao-Hui & Nerissa, Feng-Ting Shim & Tan, Yan-Yi & Wong, Kar-Horn, 2022. "Land availability and housing price in China: Empirical evidence from nonlinear autoregressive distributed lag (NARDL)," Land Use Policy, Elsevier, vol. 113(C).
    8. Yu, Zidong & Zhu, Xiaolin & Liu, Xintao, 2022. "Characterizing metro stations via urban function: Thematic evidence from transit-oriented development (TOD) in Hong Kong," Journal of Transport Geography, Elsevier, vol. 99(C).
    9. Federico Benjamín Galacho-Jiménez & David Carruana-Herrera & Julián Molina & José Damián Ruiz-Sinoga, 2022. "Tempo-Spatial Modelling of the Spread of COVID-19 in Urban Spaces," IJERPH, MDPI, vol. 19(15), pages 1-17, August.
    10. Yuxiang Zhang & Dongjie Guan & Xiujuan He & Boling Yin, 2022. "Simulation on the Evolution Trend of the Urban Sprawl Spatial Pattern in the Upper Reaches of the Yangtze River, China," IJERPH, MDPI, vol. 19(15), pages 1-21, July.
    11. Liang, Cong & Huang, Yaoxuan & Yip, Tsz Leung & Li, Victor Jing, 2022. "Does rail transit development gentrify neighborhoods? Evidence from Hong Kong," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 354-372.
    12. Liang, Yue & Du, Mengbing & Wang, Xiangxiao & Xu, Xiwei, 2020. "Planning for urban life: A new approach of sustainable land use plan based on transit-oriented development," Evaluation and Program Planning, Elsevier, vol. 80(C).
    13. Cervero, Robert & Radisch, Carolyn, 1996. "Travel choices in pedestrian versus automobile oriented neighborhoods," Transport Policy, Elsevier, vol. 3(3), pages 127-141, July.
    14. Ma, Min & Hu, Dawei & Chien, Steven I-Jy & Liu, Jie & Yang, Xing & Ma, Zhuanglin, 2022. "Evolution assessment of urban rail transit networks: A case study of Xi’an, China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 603(C).
    15. Sharma, Rohit & Newman, Peter, 2018. "Does urban rail increase land value in emerging cities? Value uplift from Bangalore Metro," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 70-86.
    16. Woudsma, Clarence & Jensen, John F. & Kanaroglou, Pavlos & Maoh, Hanna, 2008. "Logistics land use and the city: A spatial-temporal modeling approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(2), pages 277-297, March.
    17. Li, Xinjian & Love, Peter E.D. & Luo, Hanbin & Fang, Weili, 2022. "A systemic model for implementing land value capture to support urban rail transit infrastructure projects," Transportation Research Part A: Policy and Practice, Elsevier, vol. 156(C), pages 90-112.
    18. Kirtonia, Sajeeb & Sun, Yanshuo, 2022. "Evaluating rail transit's comparative advantages in travel cost and time over taxi with open data in two U.S. cities," Transport Policy, Elsevier, vol. 115(C), pages 75-87.
    19. Wang, Shuliang & Chen, Chen & Zhang, Jianhua & Gu, Xifeng & Huang, Xiaodi, 2022. "Vulnerability assessment of urban road traffic systems based on traffic flow," International Journal of Critical Infrastructure Protection, Elsevier, vol. 38(C).
    20. Lee, Jae Kwang, 2022. "New rail transit projects and land values: The difference in the impact of rail transit investment on different land types, values and locations," Land Use Policy, Elsevier, vol. 112(C).
    21. Guang Tian & Reid Ewing & Rachel Weinberger & Kevin Shively & Preston Stinger & Shima Hamidi, 2017. "Trip and parking generation at transit-oriented developments: a case study of Redmond TOD, Seattle region," Transportation, Springer, vol. 44(5), pages 1235-1254, September.
    22. Oum, Tae Hoon & Pathomsiri, Somchai & Yoshida, Yuichiro, 2013. "Limitations of DEA-based approach and alternative methods in the measurement and comparison of social efficiency across firms in different transport modes: An empirical study in Japan," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 57(C), pages 16-26.
    23. Forouhar, Amir, 2022. "Rail transit station and neighbourhood change: A mixed-method analysis with respect to neighbourhood context," Journal of Transport Geography, Elsevier, vol. 102(C).
    24. Alpkokin, Pelin & Cheung, Charles & Black, John & Hayashi, Yoshitsugu, 2008. "Dynamics of clustered employment growth and its impacts on commuting patterns in rapidly developing cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(3), pages 427-444, March.
    25. Chengli Cong & Xuan Li & Shiwei Yang & Quan Zhang & Lili Lu & Yang Shi, 2022. "Impact Estimation of Unplanned Urban Rail Disruptions on Public Transport Passengers: A Multi-Agent Based Simulation Approach," IJERPH, MDPI, vol. 19(15), pages 1-25, July.
    26. Jonas De Vos & Long Cheng & Frank Witlox, 2021. "Do changes in the residential location lead to changes in travel attitudes? A structural equation modeling approach," Transportation, Springer, vol. 48(4), pages 2011-2034, August.
    27. Dorsey, Bryan & Mulder, Alice, 2013. "Planning, place-making and building consensus for transit-oriented development: Ogden, Utah case study," Journal of Transport Geography, Elsevier, vol. 32(C), pages 65-76.
    28. Iseki, Hiroyuki & Liu, Chao & Knaap, Gerrit, 2018. "The determinants of travel demand between rail stations: A direct transit demand model using multilevel analysis for the Washington D.C. Metrorail system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 635-649.
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