DOI: https://doi.org/10.14710/pwk.v20i1.52193

Commercial Corridor Development Strategy Through the Application of the Walkable Commercial Strip Concept in Urban Area of Jember City

*Sonya Sulistyono orcid scopus publons  -  Universitas Jember, Indonesia
Dewi Junita Koesoemawati scopus  -  Universitas Jember, Indonesia
Nunung Nuring Hayati scopus  -  Universitas Jember, Indonesia
Callista Angelina  -  Universitas Jember, Indonesia

Citation Format:
Abstract
Walkability is an essential concept to consider when planning a sustainable city. This study aims to determine the walkability development strategy of the Jember City commercial corridors urban area based on people's and experts' perceptions of the Walkable Commercial Strip concept. The study was conducted in the urban area of Jember City Golden Triangle. The methods of analysis used in this study are ordinal logistic regression and AHP. Based on people's perceptions, the concepts that have the highest odds of influencing the first corridor's walkability level are the ones related to the available amenities variable, while the concept that has the highest odds of influencing the second and the third corridors' walkability level is the concept that is related to the walking path modal conflict variable. The order in which corridors have the highest development priority starts with the first corridor, Gajah Mada - Sultan Agung Street, followed by the second corridor, Ahmad Yani Street, and ends with the third corridor, Trunojoyo Street – HOS Cokroaminoto Street. The walkability development strategy for the urban area of Jember City commercial corridors is to start the order of development according to the order of priority and apply the development concepts that have the highest opportunity to influence the walkability level of each corridor based on people's perception.
Fulltext View|Download
Keywords: Walkability, Commercial Corridors, Urban Area of Jember City, AHP, Ordinal Logistic Regression

Article Metrics:

Article Info
Section: Articles
Language : EN
Recent articles
Commercial Corridor Development Strategy Through the Application of the Walkable Commercial Strip Concept in Urban Area of Jember City Faktor Utama Pembentuk Permukiman Kumuh di Kelurahan Srengsem, Kota Bandar Lampung dengan Metode Analytical Hierarchy Process (AHP) Kajian Perkiraan Dampak Rencana Pembangunan Pelabuhan Onshore Bagi Masyarakat di Pesisir Kota Pekalongan More recent articles
Most cited articles
Model Kebijakan Permukiman Kampung Code Utara di Tepi Sungai Code Evolusi Aktual Aktivitas Urban Tourism di Kota Bandung dan Dampaknya Terhadap Pembentukan Tempat-Tempat Rekreasi Kajian Rute Angkutan Umum di Banyumanik Semarang Terkait Transportasi yang Berkelanjutan PENINGKATAN KUALITAS PERMUKIMAN KUMUH UNTUK MENDUKUNG WISATA KAMPUNG PELANGI KOTA SEMARANG Kesesuaian Tata Guna Lahan Terhadap Penerapan Konsep Transit Oriented Development (TOD) di Kota Semarang More cited articles
  1. Adawiyah, R. (2021). Analisis Model Regresi Logistik Ordinal Pengaruh Tingkat Pendidikan Orang Tua dan Minat Belajar Terhadap IPK Mahasiswa Tadris Matematika [Skripsi]. UIN Sulthan Thaha Saifuddin Jambi
  2. Adejumo, A. O., & Adetunji, A. A. (2013). Application of Ordinal Logistic Regression in the Study of Students' Performance. Mathematical Theory and Modelling, 3(11), 10–19. https://www.researchgate.net/publication/280945132
  3. Aghaabbasi, M., Moeinaddini, M., Asadi-Shekari, Z., & Shah, M. Z. (2019). The Equitable Use Concept in Sidewalk Design. Cities, 88, 181–190. https://doi.org/10.1016/j.cities.2018.10.010
  4. Ariffin, R. N. R., & Zahari, R. K. (2013). Perceptions of the Urban Walking Environments. Procedia - Social and Behavioral Sciences, 105, 589–597. https://doi.org/10.1016/j.sbspro.2013.11.062
  5. Bahari, N. I., Arshad, A. K., & Yahya, Z. (2013). Assessing the Pedestrians' Perception of the Sidewalk Facilities Based on Pedestrian Travel Purpose. 2013 IEEE 9th International Colloquium on Signal Processing and Its Applications, CSPA 2013, 27–32
  6. Baobeid, A., Koç, M., & Al-Ghamdi, S. G. (2021). Walkability and Its Relationships with Health, Sustainability, and Livability: Elements of Physical Environment and Evaluation Frameworks. In Frontiers in Built Environment (Vol. 7). Frontiers Media S.A. https://doi.org/10.3389/fbuil.2021.721218
  7. Bassi, A. M., Pallaske, G., Niño, N., & Casier, L. (2022). Does Sustainable Transport Deliver Societal Value? Exploring Concepts, Methods, and Impacts with Case Studies. Future Transportation, 2(1), 115–134. https://doi.org/10.3390/futuretransp2010007
  8. Blečić, I., Congiu, T., Fancello, G., & Trunfio, G. A. (2020). Planning and Design Support Tools for Walkability: A Guide for Urban Analysts. In Sustainability (Switzerland), 12(11). MDPI. https://doi.org/10.3390/su12114405
  9. D'Acci, L. (2019). Aesthetical Cognitive Perceptions of Urban Street Form. Pedestrian Preferences towards Straight or Curvy Route Shapes. Journal of Urban Design, 24(6), 896–912. https://doi.org/10.1080/13574809.2018.1554994
  10. Ghazvinei, P. T., Mir, M. A., Darvishi, H. H., & Ariffin, J. (2017). University Campus Solid Waste Management: Combining Life Cycle Assessment and Analytical Hierarchy Process. Springer. https://doi.org/10.1007/978-3-319-43228-1
  11. Hacar, Ö. Ö., Gülgen, F., & Bilgi, S. (2020). Evaluation of the space syntax measures affecting pedestrian density through ordinal logistic regression analysis. ISPRS International Journal of Geo-Information, 9(10). https://doi.org/10.3390/ijgi9100589
  12. Hack, G. (2013). Business Performance in Walkable Shopping Areas. www.activelivingresearch.org
  13. Hassan, D. K., & Elkhateeb, A. (2021). Walking Experience: Exploring the Trilateral Interrelation of Walkability, Temporal Perception, and Urban Ambiance. Frontiers of Architectural Research, 10(3), 516–539. https://doi.org/10.1016/j.foar.2021.02.004
  14. ITDP Indonesia. (2020). National Vision of Non-Motorized Transport Infrastructure
  15. Kinyingi, J., Mugwima, N., & Karanja, D. (2020). Walkable Streets: A Study of Pedestrians' Perception, and Attitude towards Ngei Street in Machakos Town. Current Urban Studies, 08(03), 381–395. https://doi.org/10.4236/cus.2020.83021
  16. Krambeck, H. V. (2006). The Global Walkability Index
  17. Kurniawati, W., & Ananta, A. (2020). Analisis Kelayakan Berjalan dan Faktor yang Mempengaruhi Minat Berjalan Kaki di Jakarta. Jurnal Kebijakan Ekonomi, 16(1), 1–30. https://scholarhub.ui.ac.id/jkeAvailableat:https://scholarhub.ui.ac.id/jke/vol16/iss1/4
  18. Kweon, B. S., Rosenblatt-Naderi, J., Ellis, C. D., Shin, W. H., & Danies, B. H. (2021). The effects of pedestrian environments on walking behaviors and perception of pedestrian safety. Sustainability (Switzerland), 13(16). https://doi.org/10.3390/su13168728
  19. Leather, J., Fabian, H., Gota, S., & Mejia, A. (2011). Walkability and Pedestrian Facilities in Asian Cities State and Issues ADB Sustainable Development Working Paper Series. 17, 1–69. www.adb.org/poverty
  20. Loukaitou-Sideris, A. (2020). Special issue on walking. Transport Reviews, 40(2), 131–134. https://doi.org/10.1080/01441647.2020.1712044
  21. Ma, X., Chau, C. K., & Lai, J. H. K. (2021). Critical Factors Influencing the Comfort Evaluation for Recreational Walking in Urban Street Environments. Cities, 116. https://doi.org/10.1016/j.cities.2021.103286
  22. Mulia, H. G., & Manullang, O. R. (2018). Penentuan Prioritas Indikator Dalam Merencanakan Jalur Pejalan Kaki (Studi Kasus: Kawasan Blok M, Jakarta Selatan). Jurnal Pembangunan Wilayah dan Kota. 14(3). 175-185. https://doi.org/10.14710/pwk.v14i3.17703
  23. Mutaqqin, M. Z., & Khodizah, S. (2023). Tingkat Pelayanan Lajur Pejalan Kaki pada Kawasan Pusat Perdagangan Utama Kota Pekanbaru. Jurnal Pembangunan Wilayah dan Kota. 19(1). 135-146. https://doi.org/10.14710/pwk.v19i1.37049
  24. Oakes, J. M., Forsyth, A., & Schmitz, K. H. (2007). The effects of neighborhood density and street connectivity on walking behavior: The Twin Cities walking study. Epidemiologic Perspectives and Innovations, 4. https://doi.org/10.1186/1742-5573-4-16
  25. Parry, S. (2020). Ordinal Logistic Regression Models and Statistical Software: What You Need to Know Statnews #91
  26. Priyono, A., & Pradoto, W. (2021). Analisis Faktor-Faktor Pengembangan Kualitas Keamanan dan Kenyamanan Trotoar di Kota Purwodadi (Studi Kasus: Koridor Jalan R Suprapto). Jurnal Pembangunan Wilayah dan Kota. 17(4). 360-371. https://doi.org/10.14710/pwk.v17i4.35234
  27. Saaty, T. L., & Vargas, L. G. (Luis G. (2012). Models, Methods, Concepts & Applications of the Analytic Hierarchy Process (T. L. Saaty & L. G. Vargas, Eds.). Springer
  28. Sari, S. P., Wiranegara, H. W., Hardjakusumah, H. H., & Luru, N. (2020). Walkability of Sidewalk in Commercial Corridors. International Journal of Scientific & Technology Research, 9(3), 1367–1372. www.ijstr.org
  29. Setyobudi, R. F. (2016). Analisis Model Regresi Logistik Ordinal Pengaruh Pelayanan di Fakultas Matematika dan Ilmu Pengetahuan Alam Terhadap Kepuasan Mahasiswa FMIPA UNNES [Skripsi]. Universitas Negeri Semarang
  30. Shaaban, K. (2019). Assessing Sidewalk and Corridor Walkability in Developing Countries. Sustainability (Switzerland), 11(14). https://doi.org/10.3390/su11143865
  31. Sulistyono, S., Angelina, C., & Koesoemawati, D. J. (2022). Walkability Index Jalur Pejalan Kaki Koridor Komersial di Perkotaan Jember. Prosiding Simposium Forum Studi Transportasi Antar Perguruan Tinggi Ke-25, 1–10
  32. Tom. (2018, January 25). Retail and the Livable City, Part 2 - Livable City. Livable City Non-Profit. https://www.livablecity.org/retail-livable-city-part-2/
  33. Trivanni, I. A. (2018). Perbandingan Model Regresi Logistik Ordinal Spasial dan Non Spasial Pada Status Ketahanan Pangan Kabupaten/Kota di Indonesia Tahun 2016 [Skripsi]. Universitas Islam Indonesia
  34. UN-DESA. (2021). Sustainable Transport, Sustainable Development
  35. Wang, H., Quintana, F. G., Lu, Y., Mohebujjaman, M., & Kamronnaher, K. (2022). How Are BMI, Nutrition, and Physical Exercise Related? An Application of Ordinal Logistic Regression. Life, 12(12). https://doi.org/10.3390/life12122098
  36. Zhou, H., He, S., Cai, Y., Wang, M., & Su, S. (2019). Social Inequalities in Neighborhood Visual Walkability: Using Street View Imagery and Deep Learning Technologies to Facilitate Healthy City Planning. Sustainable Cities and Society, 50. https://doi.org/10.1016/j.scs.2019.101605

Last update:

No citation recorded.

Last update: 2024-04-30 14:49:36

No citation recorded.