scholarly journals Validating stated preference surveys through the use of hedonic regression models with an application to housing prices around transit oriented developments

2011 ◽  
Author(s):  
B. Smith ◽  
D. Olaru
Keyword(s):  
Regression Models ◽  
Stated Preference ◽  
Housing Prices ◽  
Hedonic Regression

scholarly journals Influence of Electronic-Docking Stations on China’s Dockless Bikesharing Programs: Evidence from Beijing

2020 ◽  
Vol 12 (9) ◽  
pp. 3588
Author(s):  
Xiaofang Yang ◽  
Hai Jiang
Keyword(s):  
Logit Model ◽  
Regression Models ◽  
Stated Preference ◽  
Mixed Logit ◽  
Mixed Logit Model ◽  
Choice Probability ◽  
Monthly Income ◽  
The Sustainable Development ◽  
Physical Exercises ◽  
Research Questions

Electronic-docking stations have been proposed and tested by some Chinese cities to address the issue of disorderly parking of dockless bikesharing programs. We study the influence of electronic-docking stations on dockless bikesharing programs, and measure and explain riders’ preferences toward dockless bikesharing and electronic-docking stations. These research questions are addressed by a mixed logit model and regression models based on stated preference survey data collected in Beijing. We obtain some interesting empirical results which offer some guidance for governments and operators to facilitate the sustainable development of dockless bikesharing programs. For instance, we find that riders are sensitive to the density for electronic-docking stations, but somewhat indifferent to the rental fee of 1–2 yuan for each ride; the choice probability of riding a dockless shared bike drops by about 8–9% when access or egress time increases by 5 min; the fraction of riders interested in dockless bikesharing programs is close to 100%, while launching electronic-docking stations reduces this number to 88%; riders are willing to pay about 1.0–1.1 yuan to save access or egress time by 5 min; riders who live or work away from public transit stations or who often engage in physical exercises are interested in dockless bikesharing programs; and riders indifferent to the introduction of electronic-docking stations mainly include those who are above 26 years old and those with monthly income less than or equal to 8000 yuan.

scholarly journals Exploring Determinants of Housing Prices in Beijing: An Enhanced Hedonic Regression with Open Access POI Data

2017 ◽  
Vol 6 (11) ◽  
pp. 358 ◽  
Author(s):  
Yixiong Xiao ◽  
Xiang Chen ◽  
Qiang Li ◽  
Xi Yu ◽  
Jin Chen ◽  
...  
Keyword(s):  
Open Access ◽  
Housing Prices ◽  
Hedonic Regression

scholarly journals KEBIJAKAN PERENCANAAN ANGKUTAN MASSAL DI KOTA BOGOR

2018 ◽  
Vol 1 (2) ◽  
pp. 159-166
Author(s):  
Chrisgerson Rudor ◽  
Muhammad Findi Alexandi
Keyword(s):  
Waiting Time ◽  
Public Transport ◽  
Public Transportation ◽  
Regression Models ◽  
Stated Preference ◽  
Public Facility ◽  
Mass Transportation ◽  
City Bus ◽  
Preference Models ◽  
Stated Preference Models

Density and population of bogor that keeps increasing will add the duty of government to provide more public means of mass. Transportation is a vital public facility. Public transport available in Bogor is a city transportation (public transportation) and buses. The existence of a number of public transportation totaling 3,412 units and 30 units of bus has been able to serve the needs of the community in transportation, but in terms of efficiency and comfort are still far from expected. Based on the results of Stated Preference regression models, we concluded that the most efficient mass transportation is city buses, and the most variable priority attribute passengers on a city bus is the bus occupancy, the bus waiting time efficiency, got a seat, bus convenience and cost/ bus rates. So the recommendation that we can give, the problem due to public transport in bogor can be solved by the means of mass transportation such as city buses. Keywords: Density and population of Bogor, PublicTtransportation, Stated Preference Models

scholarly journals Estimating Bargaining Power in Real Estate Pricing Models: Conceptual and Empirical Issues

2020 ◽  
Vol 13 (5) ◽  
pp. 105
Author(s):  
Steven B. Caudill ◽  
Franklin G. Mixon
Keyword(s):  
Real Estate ◽  
Bargaining Power ◽  
Regression Models ◽  
Hedonic Regression ◽  
Omitted Variables ◽  
Pricing Models ◽  
The Real Estate ◽  
Real Estate Prices ◽  
Relative Bargaining Power ◽  
Real Estate Economics

The relative bargaining power of the buyer and seller is a key feature of real estate pricing models. Classic real estate studies have sought to address bargaining effects in hedonic regression models. Prior research proposes a procedure to estimate bargaining effects in hedonic regression models that depends critically on a substitution to eliminate omitted variables bias. This study shows that the proposed solution that is often cited in the real estate economics literature does not solve the omitted variables problem given that both models are merely different parameterizations of the same model, and thus produces biased estimates of bargaining power when certain property characteristics are omitted. A classic hedonic regression model of real estate prices using Corsican apartment data supports our contention, even when the assumption of bargaining power symmetry is relaxed.

scholarly journals Hedonic regression models for Tokyo condominium sales

2016 ◽  
Vol 60 ◽  
pp. 300-315 ◽  
Author(s):  
W. Erwin Diewert ◽  
Chihiro Shimizu
Keyword(s):  
Regression Models ◽  
Hedonic Regression
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