IDEAS home Printed from https://ideas.repec.org/a/ibn/jsd123/v10y2017i4p31.html
   My bibliography  Save this article

Determination Model of Suitable Coastal Transit-Oriented Development Location, Case Study: Paotere, Makassar

Author

Listed:
  • Andi Arief
  • Ananto Yudono
  • Arifuddin Akil
  • Isran Ramli
  • Amran Rahim

Abstract

Commuter and local society, the users of Paotere local port who took round trip to small islands and other island as well, experienced redundancy of cost, time and travel distance in fulfilling their whole needs at the shore of Makassar. Traveling by using motorized vehicle at the shore of Makassar was taken due to the unavailability of needed goods in the port and its neighborhood within radius 500 meters. This research is aimed at establishing determination model of suitable location for spatial planning of coastal Transit-Oriented Development (TOD) in order to eliminate redundancy of cost, time and travel distance. It applied expert system and spatial analysis method based on geographic information system (GIS). The result showed that the most suitable location for coastal TOD development was in local Port and its neighborhood, it was at some grids, 581-585 and 540-542 within walking radius. Used determination model was determination in which, relied on highest value of the location with supports from its neighborhood location as well and the correlation among; certainty factor, commuter’s activity and local society.

Suggested Citation

  • Andi Arief & Ananto Yudono & Arifuddin Akil & Isran Ramli & Amran Rahim, 2017. "Determination Model of Suitable Coastal Transit-Oriented Development Location, Case Study: Paotere, Makassar," Journal of Sustainable Development, Canadian Center of Science and Education, vol. 10(4), pages 1-31, July.
  • Handle: RePEc:ibn:jsd123:v:10:y:2017:i:4:p:31
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/jsd/article/download/67707/37980
    Download Restriction: no

    File URL: https://ccsenet.org/journal/index.php/jsd/article/view/67707
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chakrabarti, Sandip, 2015. "The demand for reliable transit service: New evidence using stop level data from the Los Angeles Metro bus system," Journal of Transport Geography, Elsevier, vol. 48(C), pages 154-164.
    2. Green, Colin P. & Heywood, John S. & Navarro, María, 2016. "Traffic accidents and the London congestion charge," Journal of Public Economics, Elsevier, vol. 133(C), pages 11-22.
    3. Lazim Abdullah & Jin Yong Pang, 2016. "Application of Analytic Hierarchy Process for Assessing Sustainable Development among Underprivileged Communities," Journal of Sustainable Development, Canadian Center of Science and Education, vol. 9(5), pages 1-70, September.
    4. Ali Soltani & Mohammad Hosseinpour & Ali Hajizadeh, 2017. "Urban Sprawl in Iranian Medium-sized Cities; Investigating the Role of Masterplans," Journal of Sustainable Development, Canadian Center of Science and Education, vol. 10(1), pages 122-122, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sarker, Rumana Islam & Kaplan, Sigal & Mailer, Markus & Timmermans, Harry J.P., 2019. "Applying affective event theory to explain transit users’ reactions to service disruptions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 593-605.
    2. Andrea Baranzini & Stefano Carattini & Linda Tesauro, 2021. "Designing Effective and Acceptable Road Pricing Schemes: Evidence from the Geneva Congestion Charge," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(3), pages 417-482, July.
    3. Li, Tianshu & Song, Shunfeng & Yang, Yanmin, 2022. "Driving restrictions, traffic speeds and carbon emissions: Evidence from high-frequency data," China Economic Review, Elsevier, vol. 74(C).
    4. Tyndall, Justin, 2021. "Pedestrian deaths and large vehicles," Economics of Transportation, Elsevier, vol. 26.
    5. Roesel, Felix, 2017. "Do mergers of large local governments reduce expenditures? – Evidence from Germany using the synthetic control method," European Journal of Political Economy, Elsevier, vol. 50(C), pages 22-36.
    6. Du, Yao & Sun, Guibo & Heinen, Eva, 2024. "Does subjective wellbeing modify travel behaviour changes among older people in response to a new metro line?," Journal of Transport Geography, Elsevier, vol. 117(C).
    7. Vallejo-Borda, Jose Agustin & Barchelot-Aceros, Laura Juliana & Barrero, German A. & Ortiz-Ramirez, Hernan Alberto & Pabón-Poches, Daysy Katherine & Silva-Fernández, Claudia Susana, 2023. "Addressing pedestrian perceived externalities influenced by motor vehicles: A perspective from curb space typologies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 178(C).
    8. David, Quentin & Kilani, Moez, 2022. "Transport policies in polycentric cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 101-117.
    9. Tang, Cheng Keat, 2021. "The Cost of Traffic: Evidence from the London Congestion Charge," Journal of Urban Economics, Elsevier, vol. 121(C).
    10. Lichtman-Sadot, Shirlee, 2019. "Can public transportation reduce accidents? Evidence from the introduction of late-night buses in Israeli cities," Regional Science and Urban Economics, Elsevier, vol. 74(C), pages 99-117.
    11. Nichols, Aaron & Ryan, Jean & Palmqvist, Carl-William, 2024. "The importance of recurring public transport delays for accessibility and mode choice," Journal of Transport Geography, Elsevier, vol. 115(C).
    12. Green, Colin P. & Heywood, John S. & Navarro Paniagua, Maria, 2020. "Did the London congestion charge reduce pollution?," Regional Science and Urban Economics, Elsevier, vol. 84(C).
    13. Helmers, Viola & Frondel, Manuel & Sommer, Stephan, 2023. "On the Acceptance of Congestion Charges: Experimental Evidence for Six European Countries," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277706, Verein für Socialpolitik / German Economic Association.
    14. Rong-Chang Jou & Ke-Hong Chen, 2020. "The Relationship between High Speed Rail and Tourism," Sustainability, MDPI, vol. 12(12), pages 1-12, June.
    15. Alfredo Marvão Pereira & Rui Marvão Pereira & João Pereira dos Santos, 2017. "For Whom the Bell Tolls: Road Safety Effects of Tolls on Uncongested SCUT Highways in Portugal," GEE Papers 0074, Gabinete de Estratégia e Estudos, Ministério da Economia, revised Jul 2017.
    16. Sugiarto, Sugiarto & Miwa, Tomio & Morikawa, Takayuki, 2017. "Inclusion of latent constructs in utilitarian resource allocation model for analyzing revenue spending options in congestion charging policy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 36-53.
    17. José Eduardo Castro Pérez & Daniel Flores, 2025. "Behavioral Responses to Environmental Emergency Alerts and Temporary Driving Restrictions: Evidence from Cyclists in Mexico City," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 88(6), pages 1719-1771, June.
    18. Fageda, Xavier & Flores-Fillol, Ricardo & Theilen, Bernd, 2022. "Price versus quantity measures to deal with pollution and congestion in urban areas: A political economy approach," Journal of Environmental Economics and Management, Elsevier, vol. 115(C).
    19. Morton, Craig & Ali, Yasir, 2025. "The impact of congestion charging on car ownership: Evidence from a quasi-natural experiment," Transport Policy, Elsevier, vol. 160(C), pages 181-191.
    20. Liu, Rick Zhaoju & Shalaby, Amer, 2024. "Impacts of public transit delays and disruptions on equity seeking groups in Toronto – A time-expanded graph approach," Journal of Transport Geography, Elsevier, vol. 114(C).

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ibn:jsd123:v:10:y:2017:i:4:p:31. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.