scholarly journals Using New Mode Choice Model Nesting Structures to Address Emerging Policy Questions: A Case Study of the Pittsburgh Central Business District

2017 ◽  
Vol 9 (11) ◽  
pp. 2120 ◽  
Author(s):  
Zulqarnain Khattak ◽  
Mark Magalotti ◽  
John Miller ◽  
Michael Fontaine
Keyword(s):  
Choice Model ◽  
Mode Choice ◽  
Central Business District ◽  
Mode Choice Model ◽  
Business District

scholarly journals Econometric Calibration of the Joint Time Assignment–Mode Choice Model

2008 ◽  
Vol 42 (2) ◽  
pp. 208-219 ◽  
Author(s):  
Marcela Munizaga ◽  
Sergio Jara-Díaz ◽  
Paulina Greeven ◽  
Chandra Bhat
Keyword(s):  
Choice Model ◽  
Mode Choice ◽  
Mode Choice Model

scholarly journals Mode choice analysis using discrete choice model from transport user (Case study: Jakarta LRT, Indonesia)

2018 ◽  
Vol 181 ◽  
pp. 03001
Author(s):  
Dwi Novi Wulansari ◽  
Milla Dwi Astari
Keyword(s):  
Discrete Choice ◽  
Public Transportation ◽  
Choice Model ◽  
Stated Preference ◽  
Mode Choice ◽  
Choice Models ◽  
Discrete Choice Models ◽  
Light Rail ◽  
Choice Analysis ◽  
Mode Choice Model

Jakarta Light Rail Transit (Jakarta LRT) has been planned to be built as one of mass rail-based public transportation system in DKI Jakarta. The objective of this paper is to obtain a mode choice models that can explain the probability of choosing Jakarta LRT, and to estimate the sensitivity of mode choice if the attribute changes. Analysis of the research conducted by using discrete choice models approach to the behavior of individuals. Choice modes were observed between 1) Jakarta LRT and TransJakarta Bus, 2) Jakarta LRT and KRL-Commuter Jabodetabek. Mode choice model used is the Binomial Logit Model. The research data obtained through Stated Preference (SP) techniques. The model using the attribute influences such as tariff, travel time, headway and walking time. The models obtained are reliable and validated. Based on the results of the analysis shows that the most sensitive attributes affect the mode choice model is the tariff.

scholarly journals A DISCRETE CHOICE MODEL FOR FIRM LOCATION DECISION

2016 ◽  
Vol 14 (4) ◽  
Author(s):  
Noordini Che Man ◽  
Harry Timmerman
Keyword(s):  
Discrete Choice ◽  
Choice Model ◽  
Central Business District ◽  
Statistical Technique ◽  
Discrete Choice Models ◽  
Location Decisions ◽  
Firm Location ◽  
Suitability Analysis ◽  
Choice Data ◽  
Business District

Where to locate? It is one of the most important question in locating a business in a city. In the city center, business or firms are functioning as a dominant attractor of employment and also employment locations which linked the land use and transportation system. The objective of this paper is to describe the location model of firms in Kuala Lumpur area. Two important determinants of location choice model in this study are the accessibility measures and the suitability analysis indicators. The model focuses on the statistical technique for analyzing discrete choice data by using econometric and Geographic Information System software. The findings in this paper show that agriculture, mining, electricity, gas and water, transport and finance firms' type are mostly located outside of Kuala Lumpur's Central Business District area. Meanwhile, manufacturing, construction and wholesale firms' type are located in the Central Business District area. The result of this study will highlight the use of discrete choice models in the analysis of firm location decisions which will be a foundation to facilitate town planners and decision makers to understand the firm location decisions in their region.

scholarly journals A two-stage residential location and transport mode choice model with exposure to traffic-induced air pollution

2021 ◽  
Author(s):  
Mirjam Schindler ◽  
JYT Wang ◽  
RD Connors
Keyword(s):  
Air Pollution ◽  
Choice Model ◽  
Mode Choice ◽  
Residential Location ◽  
Health Concern ◽  
Spatially Explicit ◽  
Population Exposure ◽  
Population Densities ◽  
Transport Mode ◽  
Mode Choice Model

Air pollution is an increasing concern to urban residents. In response, residents are beginning to adapt their travel behaviour and to consider local air quality when choosing a home. We study implications of such behaviour for the morphology of cities and population exposure to traffic-induced air pollution. To do so, we propose a spatially explicit and integrated residential location and transport mode choice model for a city with traffic-induced air pollution. Intra-urban spatial patterns of population densities, transport mode choices, and resulting population exposure are analysed for urban settings of varying levels of health concern and air pollution information available to residents. Numerical analysis of the feedback between residential location choice and transport mode choice, and between residents' choices and the subsequent potential impact on their own health suggests that increased availability of information on spatially variable traffic-induced health concerns shifts population towards suburban areas with availability of public transport. Thus, health benefits result from reduced population densities close to urban centres in this context. To mitigate population exposure, our work highlights the need for spatially explicit information on peoples' air pollution concerns and, on this basis, spatially differentiated integrated land use and transport measures.

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