OPTIMIZING PEDESTRIAN-FRIENDLY WALKING PATH FOR THE FIRST AND LAST MILE TRANSIT JOURNEY BY USING THE ANALYTICAL NETWORK PROCESS (ANP) DECISION MODEL AND GIS NETWORK ANALYSIS
| Autor: | Nabilah Naharudin, Ahmad Farhan Mohd Sadullah, Mohd Sanusi S. Ahamad |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
lcsh:Applied optics. Photonics
Engineering Process (engineering) media_common.quotation_subject 0211 other engineering and technologies 02 engineering and technology Pedestrian lcsh:Technology Transport engineering Perception 0502 economics and business media_common 050210 logistics & transportation lcsh:T business.industry 05 social sciences lcsh:TA1501-1820 021107 urban & regional planning Decision rule lcsh:TA1-2040 Path (graph theory) Last mile lcsh:Engineering (General). Civil engineering (General) business Decision model Network analysis |
| Zdroj: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-4-W5, Pp 137-144 (2017) |
| ISSN: | 2194-9034 |
| DOI: | 10.5194/isprs-archives-xlii-4-w5-137-2017 |
| Popis: | Every transit trip begins and ends with pedestrian travel. People need to walk to access the transit services. However, their choice to walk depends on many factors including the connectivity, level of comfort and safety. These factors can influence the pleasantness of riding the transit itself, especially during the first/last mile (FLM) journey. This had triggered few studies attempting to measure the pedestrian-friendliness a walking environment can offer. There were studies that implement the pedestrian experience on walking to assess the pedestrian-friendliness of a walking environment. There were also studies that use spatial analysis to measure it based on the path connectivity and accessibility to public facilities and amenities. Though both are good, but the perception-based studies and spatial analysis can be combined to derive more holistic results. This paper proposes a framework for selecting a pedestrian-friendly path for the FLM transit journey by using the two techniques (perception-based and spatial analysis). First, the degree of importance for the factors influencing a good walking environment will be aggregated by using Analytical Network Process (ANP) decision rules based on people’s preferences on those factors. The weight will then be used as attributes in the GIS network analysis. Next, the network analysis will be performed to find a pedestrian-friendly walking route based on the priorities aggregated by ANP. It will choose routes passing through the preferred attributes accordingly. The final output is a map showing pedestrian-friendly walking path for the FLM transit journey. |
| Databáze: | OpenAIRE |
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