Accessibility model of BRT stop locations using Geographically Weighted regression (GWR): A case study in Banjarmasin, Indonesia

Abad, 2014, Developing a public transit scheduling tool for Metro Manila bus operators Ben-Akiva, 1985 da Silva, 2018, On comparing some algorithms for finding the optimal bandwidth in Geographically Weighted Regression, Appl. Soft Comput. J., 73, 943, 10.1016/j.asoc.2018.09.033 Dorn, 2015, Quality evaluation of VGI using authoritative data—A comparison with land use data in Southern Germany, ISPRS Int. J. Geo-Inf., 4, 1657, 10.3390/ijgi4031657 El-Geneidy, A.M., Levinson, D.M., 2006. Access to Destinations: Development of Accessibility Measures. Fitriati, 2010, Gagalkah TransJakarta?, Manajemen Bisnis, 3, 75 Foda, 2008, A GIS Approach to Study the Bus Transit Network Accessibility, Case Study: The City of Alexandria, J. Arab Acad. Sci., Technol., Maritime Transp., 34, 32 Foda, 2010, Using GIS for Measuring Transit Stop Accessibility Considering Actual Pedestrian Road Network, J. Public Transp., 13, 23, 10.5038/2375-0901.13.4.2 2017, 37 Gan, 2005 Gehrke, 2019, An activity-related land use mix construct and its connection to pedestrian travel, Environ. Plann. B: Urban Anal. City Sci., 46, 9 Geurs, 2004, Accessibility evaluation of land-use and transport strategies: Review and research directions, J. Transp. Geogr., 12, 127, 10.1016/j.jtrangeo.2003.10.005 Handy, 2005, Smart Growth and The Transportation-Land Use Connection: What Does the Research Tell Us?, Int. Regional Sci. Rev., 28, 146, 10.1177/0160017604273626 Hanum, 2011, Perbandingan Metode Stepwise, Best Subset Regression, dan Fraksi dalam Pemilihan Model Regresi Berganda Terbaik Herlina, jurnal penelitian Sains, 14, 1 Hocking, 1967, Selection of the Best Subset in Regression Analysis, Technometrics, 9, 531, 10.1080/00401706.1967.10490502 Hsiao, 1997, Use of Geographic Information System for Analysis of Transit Pedestrian Access, Transp. Res. Rec., 1604, 50, 10.3141/1604-07 Irmawandari, 2019, Kajian Aksesibilitas Stasiun dengan Moda Berjalan Kaki di Kota Surabaya, Jurnal Teknik ITS, 8, 10.12962/j23373539.v8i2.47406 ITDP, 2016 ITDP-Indonesia, 2018. Mengapa (harus) BRT? [WWW Document]. URL http://www.itdp-indonesia.org/blog/mengapa-harus-brt/ (accessed 6.28.20) Kumarage, S., 2018. Use of Crowdsourced Travel Time Data in Traffic Engineering Applications 169. 10.13140/RG.2.2.16856.75521. Lei, 2010, Mapping transit-based access: Integrating GIS, routes and schedules, Int. J. Geograph. Inform. Sci., 24, 283, 10.1080/13658810902835404 Liu, 2004, Accessibility Analyst: An integrated GIS tool for accessibility analysis in urban transportation planning, Environ. Plann. B: Plann. Design, 31, 105, 10.1068/b305 Makrí, M.-C., Folkesson, C., 1999. Accessibility Measures for Analyses of Land-Use and Travelling with Geographical Information Systems. Malekzadeh, 2020, A review of transit accessibility models: Challenges in developing transit accessibility models, Int. J. Sustain. Transp., 14, 733, 10.1080/15568318.2019.1625087 Masoud, A.R., Idris, A.O., 2018. A Segmentation/Aggregation Protocol to Convert OpenStreetMap Data to Workable GIS Network Dataset. Mavoa, 2012, GIS based destination accessibility via public transit and walking in Auckland, New Zealand, J. Transp. Geogr., 20, 15, 10.1016/j.jtrangeo.2011.10.001 Meakin, 2004, Sustainable Transport: A Sourcebook for Policy-makers in Developing Cities, Module 3c: Bus Regulation Plann., 12 Mei, 2006, Testing the importance of the explanatory variables in a mixed geographically weighted regression model, Environ. Plann. A, 38, 587, 10.1068/a3768 Miller, 1999, Measuring Space-Time Accessibility Benefits within Transportation Networks: Basic Theory and Computational Procedures, Geograph. Anal., 31, 187, 10.1111/gean.1999.31.1.187 Munoz-Raskin, 2010, Walking accessibility to bus rapid transit: Does it affect property values? The case of Bogotá, Colombia, Transp. Policy, 17, 72, 10.1016/j.tranpol.2009.11.002 National Research Council (US) Transportation Research Board, 2000 Polzin, 2002, Development of Time-of-Day–Based Transit Accessibility Analysis Tool, Transp. Res. Rec., 1799, 35, 10.3141/1799-05 Radam, I.F., 2018. Pengamat ULM Sebut Angkot Akan Ditinggalkan Warga Banjarmasin [WWW Document]. Banjarmasin Post. URL https://banjarmasin.tribunnews.com/2018/05/28/pengamat-ulm-sebut-angkot-akan-ditinggalkan-warga-banjarmasin-karena-2-hal-ini (accessed 6.28.20) Rastogi, 2003, Defining transit accessibility with environmental inputs, Transp. Res. D: Transp. Environ., 8, 10.1016/S1361-9209(03)00024-5 Rastogi, 2002, Survey design for studying transit access behavior in Mumbai City, India, J. Transp. Eng., 128, 68, 10.1061/(ASCE)0733-947X(2002)128:1(68) Rodríguez, 2004, Value of accessibility to bogotá's bus rapid transit system, Transp. Rev., 24, 587, 10.1080/0144164042000195081 Sadeghi-Niaraki, 2011, Real world representation of a road network for route planning in GIS, Expert Syst. Appl., 38, 11999, 10.1016/j.eswa.2010.12.123 Stewart, A.F., 2014. Visualizing Urban Accessibility Metrics for Incremental Bus Rapid Transit Projects 1–24. Wright, L., Hook, W., 2007. BRT Planning Guide, ITDP. Yang, 2020, Accessibility and proximity effects of bus rapid transit on housing prices: Heterogeneity across price quantiles and space, J. Transp. Geogr., 88, 102850, 10.1016/j.jtrangeo.2020.102850 Zhang, 2020, An investigation of the open-system Bus Rapid Transit (BRT) network and property values: The case of Brisbane, Australia, Transp. Res. A: Policy Pract., 134, 16 Zhao, 2003, Forecasting transit walk accessibility: Regression model alternative to buffer method, Transp. Res. Rec., 1835, 34, 10.3141/1835-05 Zhou, 2019, Application of geographically weighted regression (GWR) in the analysis of the cause of haze pollution in China, Atmos. Pollut. Res., 10, 835, 10.1016/j.apr.2018.12.012